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Singh, Aseemjot, Gulshan Mahajan, and Bhagirath Singh Chauhan. "Germination ecology of wild mustard (Sinapis arvensis) and its implications for weed management." Weed Science 70, no. 1 (October 1, 2021): 103–11. http://dx.doi.org/10.1017/wsc.2021.66.
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AbstractWild mustard (Sinapis arvensis L.) is a widespread weed of the southeastern cropping region of Australia. Seed germination ecology of S. arvensis populations selected from different climatic regions may differ due to adaptative traits. Experiments were conducted to evaluate the effects of temperature, light, radiant heat, soil moisture, salt concentration, and burial depth on seed germination and seedling emergence of two populations (Queensland [Qld] population: tropical region; and Victoria [Vic] population: temperate region) of S. arvensis. Both populations germinated over a wide range of day/night (12-h/12-h) temperatures (15/5 to 35/25 C), and had the highest germination at 30/20 C. Under complete darkness, the Qld population (61%) had higher germination than the Vic population (21%); however, under the light/dark regime, both populations had similar germination (78% to 86%). At 100 C pretreatment for 5 min, the Qld population (44%) had higher germination than the Vic population (13%). Germination of both populations was nil when given pretreatment at 150 and 200 C. The Vic population was found tolerant to high osmotic and salt stress compared with the Qld population. At an osmotic potential of −0.4 MPa, germination of Qld and Vic populations was reduced by 85% and 42%, respectively, compared with their respective controls. At 40, 80, and 160 mM sodium chloride, germination was lower for the Qld population than the Vic population. Averaged over the populations, seedling emergence was highest (52%) from a burial depth of 1 cm and was nil from 8-cm depth. Differential germination behaviors of both populations to temperature, light, radiant heat, water stress, and salt stress suggest that populations of S. arvensis may have undergone differential adaptation. Knowledge gained from this study will assist in developing suitable control measures for this weed species to reduce the soil seedbank.
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Lobmeyr, M., D. Lohmann, and C. Ruhe. "An application of a large scale conceptual hydrological model over the Elbe region." Hydrology and Earth System Sciences 3, no. 3 (September 30, 1999): 363–74. http://dx.doi.org/10.5194/hess-3-363-1999.
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Abstract. This paper investigates the ability of the VIC-2L model coupled to a routing model to reproduce streamflow in the catchment of the lower Elbe River, Germany. The VIC-2L model, a hydrologically-based land surface scheme (LSS) which has been tested extensively in the Project for Intercomparison of Land-surface Parameterization Schemes (PILPS), is put up on the rotated grid of 1/6 degree of the atmospheric regional scale model (REMO) used in the Baltic Sea Experiment (BALTEX). For a 10 year period, the VIC-2L model is forced in daily time steps with measured daily means of precipitation, air temperature, pressure, wind speed, air humidity and daily sunshine duration. VIC-2L model output of surface runoff and baseflow is used as input for the routing model, which transforms modelled runoff into streamflow, which is compared to measured streamflow at selected gauge stations. The water balance of the basin is investigated and the model results on daily, monthly and annual time scales are discussed. Discrepancies appear in time periods where snow and ice processes are important. Extreme flood events are analyzed in more dital. The influence of calibration with respect to runoff is examined.
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Miner, Heather. "Trollope and the Hunt for West Country Identity." Victoriographies 1, no. 2 (November 2011): 221–42. http://dx.doi.org/10.3366/vic.2011.0030.
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This essay explores the intersection between the politics of regionalism and recreation in Anthony Trollope's Barsetshire novels. The relationship between narrative structure and local environment articulated in Trollope's series links the form of the Victorian regional novel to an interrogation of England's relationship to its internal geography by questioning, in effect, how a region can remain autonomous and yet be a resource for national identity. Trollope's response is to use the regional practice of fox-hunting to preserve the West Country's unique place in the national imagination through sport. Situating the Barsetshire novels within hunting's vexed place in nineteenth-century rural communities and focusing on Doctor Thorne, I suggest that Trollope advances a conservative ideology that the region's identity can only be sustained through preserving country house culture. Trollope represents hunting as an ingrained rural custom, thus paradoxically using a national sport to promote regional insularity and justify the landowning class' social control of the region.
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Stephen, H., S. Ahmad, T. C. Piechota, and C. Tang. "Relating surface backscatter response from TRMM Precipitation Radar to soil moisture: results over a semi-arid region." Hydrology and Earth System Sciences Discussions 6, no. 5 (October 22, 2009): 6425–54. http://dx.doi.org/10.5194/hessd-6-6425-2009.
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Abstract. The Tropical Rainfall Measuring Mission (TRMM) carries aboard the Precipitation Radar (TRMMPR) that measures the backscatter (σ°) of the surface. σ° is sensitive to surface soil moisture and vegetation conditions. Due to sparse vegetation in arid and semi-arid regions, TRMMPR σ° primarily depends on the soil water content. In this study we relate TRMMPR σ° measurements to soil water content (ms) in Lower Colorado River Basin (LCRB). σ° dependence on ms is studied for different vegetation greenness values determined through Normalized Difference Vegetation Index (NDVI). A new model of σ° that couples incidence angle, ms, and NDVI is used to derive parameters and retrieve soil water content. The calibration and validation of this model are performed using simulated and measured ms data. Simulated ms is estimated using Variable Infiltration Capacity (VIC) model whereas measured ms is acquired from ground measuring stations in Walnut Gulch Experimental Watershed (WGEW). σ° model is calibrated using VIC and WGEW ms data during 1998 and the calibrated model is used to derive ms during later years. The temporal trends of derived ms are consistent with VIC and WGEW ms data with correlation coefficient (R) of 0.89 and 0.74, respectively. Derived ms is also consistent with the measured precipitation data with R=0.76. The gridded VIC data is used to calibrate the model at each grid point in LCRB and spatial maps of the model parameters are prepared. The model parameters are spatially coherent with the general regional topography in LCRB. TRMMPR σ° derived soil moisture maps during May (dry) and August (wet) 1999 are spatially similar to VIC estimates with correlation 0.67 and 0.76, respectively. This research provides new insights into Ku-band σ° dependence on soil water content in the arid regions.
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Stephen, H., S. Ahmad, T. C. Piechota, and C. Tang. "Relating surface backscatter response from TRMM precipitation radar to soil moisture: results over a semi-arid region." Hydrology and Earth System Sciences 14, no. 2 (February 5, 2010): 193–204. http://dx.doi.org/10.5194/hess-14-193-2010.
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Abstract. The Tropical Rainfall Measuring Mission (TRMM) carries aboard the Precipitation Radar (TRMMPR) that measures the backscatter (σ°) of the surface. σ° is sensitive to surface soil moisture and vegetation conditions. Due to sparse vegetation in arid and semi-arid regions, TRMMPR σ° primarily depends on the soil water content. In this study we relate TRMMPR σ° measurements to soil water content (ms) in the Lower Colorado River Basin (LCRB). σ° dependence on ms is studied for different vegetation greenness values determined through Normalized Difference Vegetation Index (NDVI). A new model of σ° that couples incidence angle, ms, and NDVI is used to derive parameters and retrieve soil water content. The calibration and validation of this model are performed using simulated and measured ms data. Simulated ms is estimated using the Variable Infiltration Capacity (VIC) model and measured ms is acquired from ground measuring stations in Walnut Gulch Experimental Watershed (WGEW). σ° model is calibrated using VIC and WGEW ms data during 1998 and the calibrated model is used to derive ms during later years. The temporal trends of derived ms are consistent with VIC and WGEW ms data with a correlation coefficient (R) of 0.89 and 0.74, respectively. Derived ms is also consistent with the measured precipitation data with R=0.76. The gridded VIC data is used to calibrate the model at each grid point in LCRB and spatial maps of the model parameters are prepared. The model parameters are spatially coherent with the general regional topography in LCRB. TRMMPR σ° derived soil moisture maps during May (dry) and August (wet) 1999 are spatially similar to VIC estimates with correlation 0.67 and 0.76, respectively. This research provides new insights into Ku-band σ° dependence on soil water content in the arid regions.
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Wang, Yuan, Wengang Zheng, Hongwei Xie, Qi Liu, and Jiahua Wei. "Study on Runoff Simulation of the Source Region of the Yellow River and the Inland Arid Source Region Based on the Variable Infiltration Capacity Model." Sustainability 12, no. 17 (August 28, 2020): 7041. http://dx.doi.org/10.3390/su12177041.
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Hydrological process simulation and rainfall–runoff analysis are important foundations for reasonably evaluating changes in water resources. In this paper, the VIC (Variable Infiltration Capacity) hydrological model was used to simulate runoff without observed data for exploring the applicability of the model in the Kequ, Dari, and Jimai river basins in the source region of the Yellow River, and the Balegen River basin in the inland arid source region. The results show that, from 2015 to 2018, the VIC model had a good simulation effect. The Nash efficiency coefficients (NSE) of the four basins were all above 0.7, and the NSE of the Dari River basin reached 0.93. The relative error (RE) of the three river basins was about 5%, on average, and the RE of the Balegen basin was 6.50%, indicating that the model has good applicability in the study area. Climate perturbation experiments were performed to quantitatively analyze the relationship between rainfall and runoff. The results show that, in the source area of the Yellow River, rainfall and runoff are roughly linearly related. However, in the inland arid source area, temperature has a slightly greater impact on runoff than rainfall.
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Li, Sisi, Mingliang Liu, Jennifer C. Adam, Huawei Pi, Fengge Su, Dongyue Li, Zhaofei Liu, and Zhijun Yao. "Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China." Remote Sensing 13, no. 8 (April 19, 2021): 1585. http://dx.doi.org/10.3390/rs13081585.
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Snowmelt water is essential to the water resources management over the Three-River Headwater Region (TRHR), where hydrological processes are influenced by snowmelt runoff and sensitive to climate change. The objectives of this study were to analyse the contribution of snowmelt water to the total streamflow (fQ,snow) in the TRHR by applying a snowmelt tracking algorithm and Variable Infiltration Capacity (VIC) model. The ratio of snowfall to precipitation, and the variation of the April 1 snow water equivalent (SWE) associated with fQ,snow, were identified to analyse the role of snowpack in the hydrological cycle. Prior to the simulation, the VIC model was validated based on the observed streamflow data to recognize its adequacy in the region. In order to improve the VIC model in snow hydrology simulation, Advanced Scanning Microwave Radiometer E (ASMR-E) SWE product data was used to compare with VIC output SWE to adjust the snow parameters. From 1971 to 2007, the averaged fQ,snow was 19.9% with a significant decreasing trend over entire TRHR (p < 0.05).The influence factor resulted in the rate of change in fQ,snow which were different for each sub-basin TRHR. The decreasing rate of fQ,snow was highest of 0.24%/year for S_Lantsang, which should be due to the increasing streamflow and the decreasing snowmelt water. For the S_Yangtze, the increasing streamflow contributed more than the stable change of snowmelt water to the decreasing fQ,snow with a rate of 0.1%/year. The April 1 SWE with the minimum value appearing after 2000 and the decreased ratio of snowfall to precipitation during the study period, suggested the snow solid water resource over the TRHR was shrinking. Our results imply that the role of snow in the snow-hydrological regime is weakening in the TRHR in terms of water supplement and runoff regulation due to the decreased fQ,snow and snowfall.
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Yao, Chih-Hsiang, Ica Manas-Zloczower, Roberto Regalia, and Luigi Pomini. "Distributive Mixing in Variable Intermeshing Clearance Mixers: Simulation and Experiments." Rubber Chemistry and Technology 71, no. 4 (September 1, 1998): 690–707. http://dx.doi.org/10.5254/1.3538498.
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Abstract Distributive mixing performance in Variable Intermeshing Clearance (VIC) mixers was studied numerically and verified experimentally. A fluid dynamics analysis package (FIDAP), based on the finite element method, was employed to simulate the flow patterns in the original lab size mixer (VIC1) and a new design with an enlarged mixing chamber (VIC2). Distributive mixing was studied numerically by means of tracking the evolution of particles originally gathered as clusters. The results of numerical simulations were checked against experimental data to verify the validity of the model. Both the numerical simulations and the experimental data indicate that the VIC2 design, with an enlarged mixing chamber, shows consistently better distributive mixing results in comparison with the traditional VIC1. In both mixers, increasing the inter-rotor clearance improves distributive mixing. However, enlarging the gap size too much in the bridge region, in the VIC2 mixer, becomes detrimental for mixing. The initial position of the clusters is also important in distributive mixing. Clusters located in the middle of the bridge region are better distributed than the ones located on the sides, particularly at small inter-rotor clearances.
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Zhang, Yuliang, Zhiyong Wu, Vijay P. Singh, Juliang Jin, Yuliang Zhou, Shiqin Xu, and Lei Li. "Agricultural Drought Assessment in a Typical Plain Region Based on Coupled Hydrology–Crop Growth Model and Remote Sensing Data." Remote Sensing 14, no. 23 (November 26, 2022): 5994. http://dx.doi.org/10.3390/rs14235994.
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An agricultural drought assessment is the basis for formulating agricultural drought mitigation strategies. Traditional agricultural drought assessment methods reflect agricultural drought degree by using the soil water deficit, e.g., Soil Moisture Anomaly Percentage Index (SMAPI). However, due to varying water demands for different crops, a given soil water deficit results in varying crop water deficits and agricultural droughts. This variation often leads to a misinterpretation of agricultural drought classification when one only considers the soil water deficit. To consider the influence of crop growth, this study proposes an agricultural drought assessment method by coupling hydrological and crop models (variable infiltration capacity-environmental policy integrated climate, VIC-EPIC). Agricultural drought in Jiangsu Province, China was evaluated using the VIC-EPIC model and crop water anomaly percentage index (CWAPI). The validation results based on the actual drought records showed that the correlation coefficients (0.79 and 0.82, respectively) of the statistical values and CWAPI simulated values of light and moderate drought area rates were greater than those for SMAPI (0.72 and 0.81, respectively), indicating that the simulation results of the VIC-EPIC model in Jiangsu Province were highly reasonable. The temporal and spatial variation characteristics of the drought grade in typical large-scale drought events in Jiangsu Province were also analyzed.
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Welshman, Rebecca. "Imagining the Ancient Britons: Victorian Adventures in Wye-Land." Victoriographies 2, no. 1 (May 2012): 31–43. http://dx.doi.org/10.3366/vic.2012.0058.
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Depicted in the mid to late nineteenth-century periodical press as wild, remote, and ‘intensely national’, Wales was perceived as a place of quiet mystery, geographically and socially distinct from the industrialisation of Victorian England. The borderland territory of the Wye Valley – what the Victorian journalist and historian, Barbara Hutton, called ‘Wye-Land’ – has been inhabited for over 12,000 years and preserves an ancient British identity in its rich archaeological landscapes. Developments in mid Victorian archaeology and anthropology precipitated a rise in the number of prehistoric excavations, which popularised knowledge of how ancient Britons lived and died. Drawing from articles in the late Victorian periodical press, and the activities of the Cardiff Naturalist's Society in the 1870s, which included the study of geology, botany and archaeology, this paper suggests that the observation of natural phenomena in the late nineteenth century was closely associated with the study of past human societies. I identify the changing interpretations of prehistoric sites – from early Victorian notions of barbarous druids, to more informed and sensitive appreciations of ancient British societies, whose sympathetic relation to the landscape fostered imaginative connections between late Victorians and their ancestors. This transition away from perceptions of being wholly distinct from prehistoric activity, shaped late Victorian pastoral journalism and encouraged a more integrated vision of the relationship between past and present human activity in the region.
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Silva, Andreza Gonçalves da, and Pedro B. Schwartsburd. "Ferns of Viçosa, Minas Gerais State, Brazil: Polypodiaceae (Polypodiales, Filicopsida, Tracheophyta)." Hoehnea 44, no. 2 (April 2017): 251–68. http://dx.doi.org/10.1590/2236-8906-95/2016.
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ABSTRACT As part of an ongoing project treating the ferns and lycophytes from the region of Viçosa, MG, Brazil, we here present the taxonomic treatment of Polypodiaceae. We performed field expeditions in remaining forest patches and disturbed sites from 2012 to 2016. We also revised the Polypodiaceae collection of VIC herbarium. In the region of Viçosa, 19 species of Polypodiaceae occur: Campyloneurum centrobrasilianum, C. decurrens, C. lapathifolium, C. phyllitidis, Cochlidium punctatum, Microgramma crispata, M. percussa, M. squamulosa, M. vacciniifolia, Niphidium crassifolium, Pecluma filicula, P. plumula, P. truncorum, Phlebodium areolatum, P. decumanum, Pleopeltis astrolepis, P. minima, Serpocaulon fraxinifolium, and S. menisciifolium. Among them, six are endemic to the Atlantic Forest. During our search in VIC, we found an isotype of Campyloneurum centrobrasilianum. We present keys, descriptions, illustrations, examined materials, and comments of all taxa.
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Ginesta, Xavier, Jordi de-San-Eugenio-Vela, José-Antonio Corral-Marfil, and Jordi Montaña. "The Role of a City Council in a Place Branding Campaign: The Case of Vic in Catalonia." Sustainability 12, no. 11 (May 28, 2020): 4420. http://dx.doi.org/10.3390/su12114420.
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The fundamental goal of this article is to show the implications that place branding has for regional public management through a case study of the brand “Vic, a city with a human dimension” [Vic, ciutat a la mesura humana, in Catalan language], a project commissioned by the city council of Vic and carried out by the city’s university (University of Vic-Central University of Catalonia). Vic is the capital of the Osona region, in the centre of Catalonia, with a population of 45,040 inhabitants. Methodologically, this research utilised 14 focus group discussions, two in-depth interviews and a survey addressed to citizens and answered by 855 people. In regards to results, the research shows that the practice of place branding transcends the traditional action areas of place marketing and place promotion, in order to be fully integrated in the region’s overall management policies, that is to say, its urban governance. The article also concludes that the processes of conceptualisation and implementation of new place brands must be framed within a bottom-up approach, integrating all the stakeholders (public–private cooperation) in the decision-making process.
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Alvarenga, Lívia Alves, Vinícius Siqueira Oliveira Carvalho, Vinícius Augusto de Oliveira, Carlos Rogério de Mello, Alberto Colombo, Javier Tomasella, and Pâmela Aparecida Melo. "Hydrological simulation with SWAT and VIC Models in the Verde River Watershed, Minas Gerais." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 15, no. 4 (July 6, 2020): 1. http://dx.doi.org/10.4136/ambi-agua.2492.
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Successful streamflow forecasts depend on an adequate performance evaluation of the hydrological model. In this study, the hydrological responses were compared using two hydrological models, physic-based and semi-distributed, Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC), using input data from the Verde River Watershed, located in the Minas Gerais state in southern Brazil. This is a study of one of the most important headwater watershed regions of Brazil (Mantiqueira Range). Both models were suitable for streamflow simulation, with values of R2 (determination coefficient) and NSE (Nash-Sutcliffe) higher than 0.8, NSELog higher than 0.35 (Nash–Sutcliffe Efficiency of the logarithmic values of discharge) and PBIAS (percentage deviation) less than 25%. The integration of SWAT and VIC models can be useful in different water-resource assessment studies. Therefore, based upon this study further investigations should be conducted using various hydrological models and climate, land-use and land-cover changes scenarios in the region.
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Jin, Junliang, Guoqing Wang, Jianyun Zhang, Qinli Yang, Cuishan Liu, Yanli Liu, Zhenxin Bao, and Ruimin He. "Impacts of climate change on hydrology in the Yellow River source region, China." Journal of Water and Climate Change 11, no. 3 (September 3, 2018): 916–30. http://dx.doi.org/10.2166/wcc.2018.085.
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Abstract Variations of precipitation, temperature, and runoff in the Yellow River source region were analyzed with the Mann–Kendall and Spearman rank correlation tests over the past 60 years. Based on the seven climate scenarios from CMIP5 climate models under RCP2.6, RCP4.5, and RCP8.5, responses of hydrological process to climate change were simulated using the Variable Infiltration Capacity (VIC) model. Variation analysis results indicated that recorded temperature presented significant increasing trend. Daily minimum temperature presented higher increasing trend than daily maximum temperature. Annual gross precipitation presented minor increasing and annual runoff presented minor decreasing. The VIC model performed well on simulating monthly discharge at Tangnaihai station, with NSE of 0.91 and 0.93 in calibration and validation periods, respectively. The projected annual mean temperature would rise (with 25th and 75th percentiles) 1.07–1.32 °C, 1.76–2.33 °C, 3.45–4.29 °C, annual precipitation is expected to increase 3.43%–11.77%, 8.05%–17.27%, 12.84%–27.89%, and runoff would moderately increase with high variability of 0.82%–14.26%, −3.41%–19.14%, 1.43%–38.26% relative to the baseline of 1961–1990 under each RCP in the 2080s, respectively. The inhomogeneity of runoff may increase in the future. Many more droughts and floods under climate change may threaten social development in this region in the future.
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Uchiyama, Tomomi, Yutaro Yoshii, and Hirotaka Hamada. "Direct numerical simulation of a turbulent channel flow by an improved vortex in cell method." International Journal of Numerical Methods for Heat & Fluid Flow 24, no. 1 (December 20, 2013): 103–23. http://dx.doi.org/10.1108/hff-01-2012-0010.
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Purpose – This study is concerned with the direct numerical simulation (DNS) of a turbulent channel flow by an improved vortex in cell (VIC) method. The paper aims to discuss these issues. Design/methodology/approach – First, two improvements for VIC method are proposed to heighten the numerical accuracy and efficiency. A discretization method employing a staggered grid is presented to ensure the consistency among the discretized equations as well as to prevent the numerical oscillation of the solution. A correction method for vorticity is also proposed to compute the vorticity field satisfying the solenoidal condition. Second, the DNS for a turbulent channel flow is conducted by the improved VIC method. The Reynolds number based on the friction velocity and the channel half width is 180. Findings – It is highlighted that the simulated turbulence statistics, such as the mean velocity, the Reynolds shear stress and the budget of the mean enstrophy, agree well with the existing DNS results. It is also shown that the organized flow structures in the near-wall region, such as the streaks and the streamwise vortices, are favourably captured. These demonstrate the high applicability of the improved VIC method to the DNS for wall turbulent flows. Originality/value – This study enables the VIC method to perform the DNS for wall turbulent flows.
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Herrmann, H., W. Aberer, O. Majdic, G. Schuler, and G. Wiche. "Monoclonal antibody to a 43 000 Mr surface protein of a human leukaemia cell line (THP-1) crossreacts with the fibroblast intermediate filament protein vimentin." Journal of Cell Science 73, no. 1 (February 1, 1985): 87–103. http://dx.doi.org/10.1242/jcs.73.1.87.
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Monoclonal antibodies were produced against surface antigens of live cells from a human acute monocytic leukaemia cell line (THP-1). One clone, VIC-C2, when assayed by immunofluorescence microscopy, brightly stained the surface of THP-1 cells and the cytoplasm of Langerhans cells, fibroblasts and melanocytes in sections of human skin. The immunoreactive cytoplasmic structures were filamentous and resembled intermediate filaments. By double immunofluorescence microscopy using VIC-C2 and polyclonal antibodies to vimentin, the VIC-C2 antigen was shown to be located on intermediate filaments of cultured fibroblasts and to follow these filaments during various drug-induced rearrangements. As demonstrated by immunoprecipitation, antibody gel overlay and immunoblotting of two-dimensional polyacrylamide gels, VIC-C2 recognized two different antigens in extracts of THP-1 cells: one of Mr = 43 000 and pI = 7, the other of Mr = 57 000. In extracts from various cultured fibroblast cells only the 57 000 Mr antigen was detected. This 57 000 Mr protein was identified as vimentin by immunoblotting of rat glioma C6 cytoskeletons on two-dimensional gels. When vimentin was digested with chymotrypsin, only fragments containing parts of both helical rod pieces and the connecting non-helical spacer-region were strongly antigenic, whereas the helical rods alone were only weakly crossreactive. Moreover, immunoprecipitation revealed that VIC-C2 preferentially reacted with native compared to denatured vimentin.
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Mishra, Vimal, Keith A. Cherkauer, and Laura C. Bowling. "Parameterization of Lakes and Wetlands for Energy and Water Balance Studies in the Great Lakes Region*." Journal of Hydrometeorology 11, no. 5 (October 1, 2010): 1057–82. http://dx.doi.org/10.1175/2010jhm1207.1.
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Abstract Lakes and wetlands are prevalent around the Great Lakes and play an important role in the regional water and energy cycle. However, simulating their impacts on regional-scale hydrology is still a major challenge and not widely attempted. In the present study, the Variable Infiltration Capacity (VIC) model is applied and evaluated with a physically based lake and wetland algorithm, which can simulate the effect of lakes and wetlands on the grid cell energy and water balance. The VIC model was calibrated at 10 U.S. Geological Survey (USGS) stream gauging stations against daily streamflow records for the period of 1985–95, and successfully evaluated for the period of 1996–2005. Single-grid sensitivity experiments showed that runoff, baseflow, and inundation area were sensitive to the lake model parameters. Simulations were also conducted to analyze the spatial and temporal variability of inundation area for the period of 1985–2005. Results indicated that water and energy fluxes were substantially affected when lakes and wetlands were included in model simulations. Domain-averaged annual mean evapotranspiration (ET) was increased by 5% while annual mean total runoff was decreased by 12% with lakes and wetlands. Latent heat flux increased while sensible heat flux decreased because of the inclusion of lakes and wetlands.
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Zhao, Fangfang, Francis H. S. Chiew, Lu Zhang, Jai Vaze, Jean-Michel Perraud, and Ming Li. "Application of a Macroscale Hydrologic Model to Estimate Streamflow across Southeast Australia." Journal of Hydrometeorology 13, no. 4 (August 1, 2012): 1233–50. http://dx.doi.org/10.1175/jhm-d-11-0114.1.
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Abstract Reliable predictions of water availability and streamflow characteristics, and the impact of climate and land use change on water availability, are central to water resources planning and management. This paper assesses the application of the widely used macroscale hydrologic model, the three-layer Variable Infiltration Capacity model (VIC-3L), to estimate daily streamflow in 191 unregulated catchments across southeast Australia and evaluates the regionalization of model parameters to predict streamflow in ungauged catchments. The parameter values in the VIC-3L model are estimated using three methods: default values, optimized values based on model calibration, and regionalized values based on spatial proximity method. The modeled streamflows from VIC-3L are assessed against the observed streamflows from the catchments. The authors discuss the model performance based on different parameter estimation methods and the effects of rainfall regimes on streamflow prediction. Also the implication of using a priori estimates of parameter values versus optimizing parameter values against observed streamflow to predict the impact of climate and land use change on streamflow is discussed. The VIC-3L model can simulate the streamflow in the catchments across southeast Australia reasonably well, with comparable results to those reported for the same region using conceptual rainfall-runoff models. The model performed better in summer-dominant rainfall catchments and wet catchments than in other catchments. The regionalization based on spatial proximity method performed reasonably well, which demonstrated the potential of VIC-3L model to predict streamflow in ungauged catchments in Australia.
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Praveen, G. B., S. Raghavendra, and Victor I. C. Chang. "An Analysis of Leg Muscle Stretch Using 3D Digital Image Correlation." International Journal of Organizational and Collective Intelligence 7, no. 3 (July 2017): 30–43. http://dx.doi.org/10.4018/ijoci.2017070103.
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Sural region is called as the bottom heart of the body since it is essential for the maintenance of venous circulatory adequacy during upright posture and activity. Previous research has found that ankle joint equinus can lead to foot pathologies. The paper presents a generic methodology to compute the strain pattern in the Sural and calcaneal region during leg dorsiflexion experiment. In the experiment, the subject is made to stand on an inclination plane and images are captured at varying angular inclinations. Strain plots obtained after comparison indicates the strain distribution in the posterior compartment of sural and calcaneal regions. The experiment is then repeated for four other participants and the trends are observed. VIC-3D is used to determine the strain distribution on two important superficial components of the leg region, namely the Sural and calcaneal regions, subjected to varied degrees of foot dorsiflexion. The experiment is extremely important as the primary knowledge gained will assists us to generate muscle-tendon units which can result into better understanding of the force and energy production. Moreover, this exercise can be used to regulate the blood circulation and avoid the syndrome mentioned above.
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Szuplewski, Sébastien, and Régine Terracol. "The cyclope Gene of Drosophila Encodes a Cytochrome c Oxidase Subunit VIc Homolog." Genetics 158, no. 4 (August 1, 2001): 1629–43. http://dx.doi.org/10.1093/genetics/158.4.1629.
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Abstract Cytochrome c oxidase is the terminal enzyme of the mitochondrial electron transfer chain. In eukaryotes, the enzyme is composed of 3 mitochondrial DNA-encoded subunits and 7–10 (in mammals) nuclear DNA-encoded subunits. This enzyme has been extensively studied in mammals and yeast but, in Drosophila, very little is known and no mutant has been described so far. Here we report the genetic and molecular characterization of mutations in cyclope (cype) and the cloning of the gene encoding a cytochrome c oxidase subunit VIc homolog. cype is an essential gene whose mutations are lethal and show pleiotropic phenotypes. The 77-amino acid peptide encoded by cype is 46% identical and 59% similar to the human subunit (75 amino acids). The transcripts are expressed maternally and throughout development in localized regions. They are found predominantly in the central nervous system of the embryo; in the central region of imaginal discs; in the germarium, follicular, and nurse cells of the ovary; and in testis. A search in the Genome Annotation Database of Drosophila revealed the absence of subunit VIIb and the presence of 9 putative nuclear cytochrome c oxidase subunits with high identity scores when compared to the 10 human subunits.
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Xia, Youlong, David M. Mocko, Shugong Wang, Ming Pan, Sujay V. Kumar, Christa D. Peters-Lidard, Helin Wei, Dagang Wang, and Michael B. Ek. "Comprehensive Evaluation of the Variable Infiltration Capacity (VIC) Model in the North American Land Data Assimilation System." Journal of Hydrometeorology 19, no. 11 (November 1, 2018): 1853–79. http://dx.doi.org/10.1175/jhm-d-18-0139.1.
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Abstract Since the second phase of the North American Land Data Assimilation System (NLDAS-2) was operationally implemented at NOAA/NCEP as part of the production suite in August 2014, developing the next phase of NLDAS has been a key focus of the NCEP and NASA NLDAS teams. The Variable Infiltration Capacity (VIC) model is one of the four land surface models of the NLDAS system. The current operational NLDAS-2 uses version 4.0.3 (VIC403), the research NLDAS-2 used version 4.0.5 (VIC405), and the NASA Land Information System (LIS)-based NLDAS uses version 4.1.2.l (VIC412). The purpose of this study is to evaluate VIC403 and VIC412 and check if the latter version has better performance for the next phase of NLDAS. Toward this, a comprehensive evaluation was conducted, targeting multiple variables and using multiple metrics to assess the performance of different model versions. The evaluation results show large and significant improvements in VIC412 over the southeastern United States when compared with VIC403 and VIC405. In other regions, there are very limited improvements or even deterioration to some degree. This is partially due to 1) the sparseness of USGS streamflow observations for model parameter calibration and 2) a deterioration of VIC model performance in the Great Plains (GP) region after a model upgrade to a newer version. Overall, the model upgrade enhances model performance and skill scores for most parts of the continental United States; exceptions include the GP and western mountainous regions, as well as the daily soil moisture simulation skill, suggesting that VIC model development is on the right path. Further efforts are needed for scientific understanding of land surface physical processes in the GP, and a recalibration of VIC412 using reasonable reference datasets is recommended.
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Dan, Li, Jinjun Ji, Zhenghui Xie, Feng Chen, Gang Wen, and Jeffrey E. Richey. "Hydrological projections of climate change scenarios over the 3H region of China: A VIC model assessment." Journal of Geophysical Research: Atmospheres 117, no. D11 (June 1, 2012): n/a. http://dx.doi.org/10.1029/2011jd017131.
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Austin, AD, and PC Dangerfield. "Synopsis of Australasian Microgastrinae (Hymenoptera : Braconidae), with a key to genera and description of new taxa." Invertebrate Systematics 6, no. 1 (1992): 1. http://dx.doi.org/10.1071/it9920001.
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The genera of microgastrine braconid wasps present in the Australasian region (defined as Australia, New Zealand, New Caledonia, New Guinea, Solomon Is, Fiji Is, Samoan Is, Cook Is, but not French Polynesia) are reviewed. An illustrated key to genera, comments on their taxonomy, and information on the distribution and host relationships of species are provided. Following examination of holotypes, the generic placement of all species recorded from the region is reassessed since a recent generic reclassification of the subfamily left most of the Australasian species incorrectly placed. Parapanteles Ashmead (N.T.), Fornicia Brullé (Qld) and Deuterixys Mason (Qld) are recorded from Australasia for the first time, while Buluka De Seager, Parenion Nixon, Snellenius Westwood and Wilkinsonellus Mason, previously known from Australasia, are recorded from mainland Australia for the first time. The genus Austrocotesia is described as new [with A. exigua, sp. nov. (Papua New Guinea) as the type species], along with the following 14 species: Austrocotesia delicata, sp. nov. (Papua New Guinea, Qld), A. paradoxa, sp. nov. (Papua New Guinea), Buluka collessi, sp. nov. (Qld), Deuterixys anica, sp. nov. (Vic., N.S. W., Qld), Fornicia commoni, sp. nov. (Qld), Glyptapanteles deliasa, sp. nov. (S.A.), Microgaster nixoni, sp. nov. (Tas., N.S.W.), Parapanteles masoni, sp. nov. (N.T.), Parenion beelaronga, sp. nov. (Qld), P. bootha, sp. nov. (Qld), Sathon albicoxa, sp. nov. (Tas., Vic., N.S.W.), S. naryciae, sp. nov. (Vic.), Wilkinsonellus amplus, sp. nov. (Qld, N.T.) and W. tomi, sp. nov. (Papua New Guinea, New Britain, Qld). Glyptapanteles guyanensis (Cameron), comb. nov. is excluded from the Australasian fauna; the name Glyptapanteles fullawayi, nom. nov. (Samoa) is proposed for Apanteles opercuiinae var. polita Fullaway; lectotypes are designated for Cotesia deliadis (Bingham), comb. nov. (Qld), C. philoeampa (Cameron), comb. nov. (N.S.W) and C. rufiventris (Bingham), comb. nov. (Qld); Glyptapanteles operculinae (Fullaway), comb. nov. (Samoa), Microgaster kuchingensis Wilkinson (Papua New Guinea) and Sathon moratus (Wilkinson), comb. nov. (Vic., S.A., W.A.) are redescribed; and 41 additional new combinations are proposed.
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Pandey, V., and P. K. Srivastava. "INTEGRATION OF SATELLITE, GLOBAL REANALYSIS DATA AND MACROSCALE HYDROLOGICAL MODEL FOR DROUGHT ASSESSMENT IN SUB-TROPICAL REGION OF INDIA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1347–51. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1347-2018.
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Change in soil moisture regime is highly relevant for agricultural drought, which can be best analyzed in terms of Soil Moisture Deficit Index (SMDI). A macroscale hydrological model Variable Infiltration Capacity (VIC) was used to simulate the hydro-climatological fluxes including evapotranspiration, runoff, and soil moisture storage to reconstruct the severity and duration of agricultural drought over semi-arid region of India. The simulations in VIC were performed at 0.25&deg; spatial resolution by using a set of meteorological forcing data, soil parameters and Land Use Land Cover (LULC) and vegetation parameters. For calibration and validation, soil parameters obtained from National Bureau of Soil Survey and Land Use Planning (NBSSLUP) and ESA's Climate Change Initiative soil moisture (CCI-SM) data respectively. The analysis of results demonstrates that most of the study regions (>&thinsp;80&thinsp;%) especially for central northern part are affected by drought condition. The year 2001, 2002, 2007, 2008 and 2009 was highly affected by agricultural drought. Due to high average and maximum temperature, we observed higher soil evaporation that reduces the surface soil moisture significantly as well as the high topographic variations; coarse soil texture and moderate to high wind speed enhanced the drying upper soil moisture layer that incorporate higher negative SMDI over the study area. These findings can also facilitate the archetype in terms of daily time step data, lengths of the simulation period, various hydro-climatological outputs and use of reasonable hydrological model.
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Wang, Zhaoli, Jiachao Chen, Chengguang Lai, Ruida Zhong, Xiaohong Chen, and Haijun Yu. "Hydrologic assessment of the TMPA 3B42-V7 product in a typical alpine and gorge region: the Lancang River basin, China." Hydrology Research 49, no. 6 (July 9, 2018): 2002–15. http://dx.doi.org/10.2166/nh.2018.024.
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Abstract To evaluate the accuracy and applicability of the TMPA 3B42-V7 precipitation product for the Lancang River basin, we used different statistical indices to explore the performance of the product in comparison to gauge data. Then, we performed a hydrologic simulation using the Variable Infiltration Capacity (VIC) hydrological model with two scenarios (Scenario I: streamflow simulation using gauge-calibrated parameters; Scenario II: streamflow simulation using 3B42-V7-recalibrated parameters) to verify the applicability of the product. The results of the precipitation analysis show good accuracy of the V7 precipitation data. The accuracy increases with the increase of both space and time scales, while time scale increases cause a stronger effect. The satellite can accurately measure most of the precipitation but tends to misidentify non-precipitation events as light precipitation events (<1 mm/day). The results of the hydrologic simulation show that the VIC hydrological model has good applicability for the Lancang River basin. However, 3B42-V7 data did not perform as well under Scenario I with the lowest Nash–Sutcliffe coefficient of efficiency (NSCE) of 0.42; Scenario II suggests that the error drops significantly and the NSCE increases to 0.70 or beyond. In addition, the simulation accuracy increases with increased temporal scale.
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Handika, Rangga. "Contagions in interconnected power markets." Journal of Risk Finance 22, no. 3/4 (October 4, 2021): 296–311. http://dx.doi.org/10.1108/jrf-01-2021-0002.
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PurposeThis paper offers an alternative approach to assessing contagions in price and load in the Australian interconnected power markets. This approach enabled us to identify a high-risk region and assess the direction of contagions from both buyers' and sellers' perspectives.Design/methodology/approachThe author used a multinomial logit method to measure contagions. Having identified the exceedance and coexceedances, the author estimated the multinomial logit coefficients of the covariates explaining the probability of a certain number of coexceedances.FindingsMarket participants should recognize the presence of contagion risk and scrutinize price and load dynamics in the NSW and VIC regions to anticipate any simultaneous extreme changes. Regulators need to stabilize the demand and supply sides in those regions to minimize any possible contagions.Originality/valueThis paper presents a pioneering study investigating contagion in the Australian interconnected power markets.
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Shukla, S., A. McNally, G. Husak, and C. Funk. "A seasonal agricultural drought forecast system for food-insecure regions of East Africa." Hydrology and Earth System Sciences Discussions 11, no. 3 (March 14, 2014): 3049–81. http://dx.doi.org/10.5194/hessd-11-3049-2014.
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Abstract. The increasing food and water demands of East Africa's growing population are stressing the region's inconsistent water resources and rain-fed agriculture. More accurate seasonal agricultural drought forecasts for this region can inform better water and agricultural management decisions, support optimal allocation of the region's water resources, and mitigate socio-economic losses incurred by droughts and floods. Here we describe the development and implementation of a seasonal agricultural drought forecast system for East Africa (EA) that provides decision support for the Famine Early Warning Systems Network's science team. We evaluate this forecast system for a region of equatorial EA (2° S to 8° N, and 36° to 46° E) for the March-April-May growing season. This domain encompasses one of the most food insecure, climatically variable and socio-economically vulnerable regions in EA, and potentially the world: this region has experienced famine as recently as 2011. To assess the agricultural outlook for the upcoming season our forecast system simulates soil moisture (SM) scenarios using the Variable Infiltration Capacity (VIC) hydrologic model forced with climate scenarios for the upcoming season. First, to show that the VIC model is appropriate for this application we forced the model with high quality atmospheric observations and found that the resulting SM values were consistent with the Food and Agriculture Organization's (FAO's) Water Requirement Satisfaction Index (WRSI), an index used by FEWS NET to estimate crop yields. Next we tested our forecasting system with hindcast runs (1993–2012). We found that initializing SM forecasts with start-of-season (5 March) SM conditions resulted in useful SM forecast skill (> 0.5 correlation) at 1-month, and in some cases at 3 month lead times. Similarly, when the forecast was initialized with mid-season (i.e. 5 April) SM conditions the skill until the end-of-season improved. This shows that early-season rainfall is critical for end-of-season outcomes. Finally we show that, in terms of forecasting spatial patterns of SM anomalies, the skill of this agricultural drought forecast system is generally greater (> 0.8 correlation) during drought years. This means that this system might be particularity useful for identifying the events that present the greatest risk to the region.
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Wu, Z. Y., G. H. Lu, L. Wen, and C. A. Lin. "Reconstructing and analyzing China's fifty-nine year (1951–2009) drought history using hydrological model simulation." Hydrology and Earth System Sciences Discussions 8, no. 1 (February 10, 2011): 1861–93. http://dx.doi.org/10.5194/hessd-8-1861-2011.
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Abstract. The recent fifty-nine year (1951–2009) drought history of China is reconstructed using daily soil moisture values generated by the Variable Infiltration Capacity (VIC) land surface macroscale hydrology model. VIC is applied over a grid of 10 458 points with a spatial resolution of 30 km × 30 km, and is driven by observed daily maximum and minimum air temperature and precipitation from 624 long-term meteorological stations. The VIC soil moisture is used to calculate the Soil Moisture Anomaly Percentage Index (SMAPI), which can be used as a measure of the severity of agricultural drought on a global basis. We develop a SMAPI-based drought identification procedure for practical uses in the identification of both grid point and regional drought events. As the result, a total of 325 regional drought events varying in time and strength are identified from China's nine drought study regions. These drought events can thus be assessed quantitatively at different spatial and temporal scales. The result shows that the severe drought events of 1978, 2000 and 2006 are well reconstructed, indicating SMAPI is capable of indentifying the onset of a drought event, its progressing, as well as its ending. Spatial and temporal variations of droughts on China's nine drought study regions are studied. Our result shows that on average, up to 30% of the total area of China is prone to drought. Regionally, an upward trend in drought-affected areas has been detected in three regions Inner Mongolia, Northeast and North during the recent fifty-nine years. However, the decadal variability of droughts has been week in the rest five regions South, Southwest, East, Northwest, and Tibet. Xinjiang has even been wetting steadily since the 1950s. Two regional dry centers are discovered in China as the result of a combined analysis on the occurrence of drought events from both grid points and drought study regions. The first center is located in the area partially covered by two drought study regions North and Northwest, which extends to the southeastern portion of Inner Mongolia and the southwest part of Northeast. The second one is found in the central to southern portion of the drought study region South. Our study demonstrates the applicability and the value of using modeled soil moisture for reconstructing drought histories, and SMAPI is useful to analyzing drought at different spatial and temporal scales.
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Liu, Yaling, Mohamad Hejazi, Hongyi Li, Xuesong Zhang, and Guoyong Leng. "A hydrological emulator for global applications – HE v1.0.0." Geoscientific Model Development 11, no. 3 (March 23, 2018): 1077–92. http://dx.doi.org/10.5194/gmd-11-1077-2018.
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Abstract. While global hydrological models (GHMs) are very useful in exploring water resources and interactions between the Earth and human systems, their use often requires numerous model inputs, complex model calibration, and high computation costs. To overcome these challenges, we construct an efficient open-source and ready-to-use hydrological emulator (HE) that can mimic complex GHMs at a range of spatial scales (e.g., basin, region, globe). More specifically, we construct both a lumped and a distributed scheme of the HE based on the monthly abcd model to explore the tradeoff between computational cost and model fidelity. Model predictability and computational efficiency are evaluated in simulating global runoff from 1971 to 2010 with both the lumped and distributed schemes. The results are compared against the runoff product from the widely used Variable Infiltration Capacity (VIC) model. Our evaluation indicates that the lumped and distributed schemes present comparable results regarding annual total quantity, spatial pattern, and temporal variation of the major water fluxes (e.g., total runoff, evapotranspiration) across the global 235 basins (e.g., correlation coefficient r between the annual total runoff from either of these two schemes and the VIC is > 0.96), except for several cold (e.g., Arctic, interior Tibet), dry (e.g., North Africa) and mountainous (e.g., Argentina) regions. Compared against the monthly total runoff product from the VIC (aggregated from daily runoff), the global mean Kling–Gupta efficiencies are 0.75 and 0.79 for the lumped and distributed schemes, respectively, with the distributed scheme better capturing spatial heterogeneity. Notably, the computation efficiency of the lumped scheme is 2 orders of magnitude higher than the distributed one and 7 orders more efficient than the VIC model. A case study of uncertainty analysis for the world's 16 basins with top annual streamflow is conducted using 100 000 model simulations, and it demonstrates the lumped scheme's extraordinary advantage in computational efficiency. Our results suggest that the revised lumped abcd model can serve as an efficient and reasonable HE for complex GHMs and is suitable for broad practical use, and the distributed scheme is also an efficient alternative if spatial heterogeneity is of more interest.
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Sala, M. R., C. Arias, J. M. Oliva, A. Pedrol, P. Roura, and A. Domínguez. "Community outbreak of Legionnaires’ disease in Vic-Gurb, Spain in October and November 2005." Eurosurveillance 12, no. 3 (March 1, 2007): 5–6. http://dx.doi.org/10.2807/esm.12.03.00691-en.
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This paper reports the investigation of a community-acquired outbreak of Legionnaires'; disease in the municipalities of Vic and Gurb (Central Region of Catalonia, Spain). There were 55 cases reported in October and November 2005. An epidemiological and environmental investigation was undertaken. Thirty-five case patients (64%) lived in Vic or Gurb, while 36% had visited or worked in Vic or Gurb during the 10 days before onset of symptoms, but no commonly frequented building could be identified. Water probes for culture were obtained from 30 cooling towers. In five cooling towers of two industrial settings in Gurb (plants A and B), Legionella pneumophila (Lp) serogroup 1 was present. Two Lp-1 strains were recovered from cooling towers in plants A and B. The Lp-1 strain from plant A showed a PGFE profile identical with those obtained from three patients. The exposure to Legionella pneumophila apparently occurred in a large area, since 43 of the 55 cases lived, visited or worked within a distance of 1,800 m from plant A, and six cases in a distance between 2,500 and 3,400 m. The inspections of cooling towers in plant A revealed inadequate disinfectant doses of biocide, non-existent maintenance records on weekends and wrong sample points for routine microbial check-ups. Weather conditions in October 2005 template temperature and high humidity (wind conditions are unappreciable) could have been favourable factors in this outbreak together with the flat terrain of Gurb and Vic area, explaining the extensive horizontal airborne dissemination of contaminated aerosols. The outbreak could have been prevented by proper and correct maintenance of the cooling tower at plant A.
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Wu, Z., Y. Mao, G. Lu, and J. Zhang. "Simulation of soil moisture for typical plain region using the Variable Infiltration Capacity model." Proceedings of the International Association of Hydrological Sciences 368 (May 6, 2015): 215–20. http://dx.doi.org/10.5194/piahs-368-215-2015.
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Abstract. Droughts have a severe impact on the development of the social economy in developed plain areas. Soil moisture is a good index, it can reasonably reflect changes in drought. In this study, Jiangsu province in the Yangtze River Plain was selected as the research region, and the VIC (Variable Infiltration Capacity) large-scale hydrological model was selected to simulate the daily soil moisture with a resolution of 0.125 × 0.125 degree from 1956 to 2009. The simulated soil moisture was verified by measured soil moisture. The results indicate that the simulated soil moisture distribution is relatively consistent for the three soil layers (0–20, 20−100 and 0–100 cm), showing an increasing trend from northwest to southeast. The simulated soil moisture anomalies agreed well with in situ observations. The simulated soil moisture data thus can be used to analyze the spatio-temporal variation of the regional water content and to provide support for drought monitoring and forecasting.
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Mo, Kingtse C., and Dennis P. Lettenmaier. "Hydrologic Prediction over the Conterminous United States Using the National Multi-Model Ensemble." Journal of Hydrometeorology 15, no. 4 (July 30, 2014): 1457–72. http://dx.doi.org/10.1175/jhm-d-13-0197.1.
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Abstract The authors analyzed the skill of monthly and seasonal soil moisture (SM) and runoff (RO) forecasts over the United States performed by driving the Variable Infiltration Capacity (VIC) hydrologic model with forcings derived from the National Multi-Model Ensemble hindcasts (NMME_VIC). The grand ensemble mean NMME_VIC forecasts were compared to ensemble streamflow prediction (ESP) forecasts derived from the VIC model forced by resampling of historical observations during the forecast period (ESP_VIC), using the same initial conditions as NMME_VIC. The forecast period is from 1982 to 2010, with the forecast initialized on 1 January, 1 April, 5 July, and 3 October. Overall, forecast skill is seasonally and regionally dependent. The authors found that 1) the skill of the grand ensemble mean NMME_VIC forecasts is comparable with that of the individual model that has the highest skill; 2) for all forecast initiation dates, the initial conditions play a dominant role in forecast skill at 1-month lead, and at longer lead times, forcings derived from NMME forecasts start to contribute to forecast skill; and 3) the initial conditions dominate contributions to skill for a dry climate regime that covers the western interior states for all seasons and the north-central part of the country for January. In this regime, the forecast skill for both methods is high even at 3-month lead. This regime has low mean precipitation and precipitation variations, and the influence of precipitation on SM and RO is weak. In contrast, a wet regime covers the region from the Gulf states to the Tennessee and Ohio Valleys for forecasts initialized in January and April, the Southwest monsoon region, the Southeast, and the East Coast in summer. In these dynamically active regions, where rainfall depends on the path of the moisture transport and atmospheric forcing, forecast skill is low. For this regime, the climate forecasts contribute to skill. Skillful precipitation forecasts after lead 1 have the potential to improve SM and RO forecast skill, but it was found that this mostly was not the case for the NMME models.
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Shukla, S., A. McNally, G. Husak, and C. Funk. "A seasonal agricultural drought forecast system for food-insecure regions of East Africa." Hydrology and Earth System Sciences 18, no. 10 (October 2, 2014): 3907–21. http://dx.doi.org/10.5194/hess-18-3907-2014.
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Abstract. The increasing food and water demands of East Africa's growing population are stressing the region's inconsistent water resources and rain-fed agriculture. More accurate seasonal agricultural drought forecasts for this region can inform better water and agropastoral management decisions, support optimal allocation of the region's water resources, and mitigate socioeconomic losses incurred by droughts and floods. Here we describe the development and implementation of a seasonal agricultural drought forecast system for East Africa (EA) that provides decision support for the Famine Early Warning Systems Network's (FEWS NET) science team. We evaluate this forecast system for a region of equatorial EA (2° S–8° N, 36–46° E) for the March-April-May (MAM) growing season. This domain encompasses one of the most food-insecure, climatically variable, and socioeconomically vulnerable regions in EA, and potentially the world; this region has experienced famine as recently as 2011. To produce an "agricultural outlook", our forecast system simulates soil moisture (SM) scenarios using the Variable Infiltration Capacity (VIC) hydrologic model forced with climate scenarios describing the upcoming season. First, we forced the VIC model with high-quality atmospheric observations to produce baseline soil moisture (SM) estimates (here after referred as SM a posteriori estimates). These compared favorably (correlation = 0.75) with the water requirement satisfaction index (WRSI), an index that the FEWS NET uses to estimate crop yields. Next, we evaluated the SM forecasts generated by this system on 5 March and 5 April of each year between 1993 and 2012 by comparing them with the corresponding SM a posteriori estimates. We found that initializing SM forecasts with start-of-season (SOS) (5 March) SM conditions resulted in useful SM forecast skill (> 0.5 correlation) at 1-month and, in some cases, 3-month lead times. Similarly, when the forecast was initialized with midseason (i.e., 5 April) SM conditions, the skill of forecasting SM estimates until the end-of-season improved (correlation > 0.5 over several grid cells). We also found these SM forecasts to be more skillful than the ones generated using the Ensemble Streamflow Prediction (ESP) method, which derives its hydrologic forecast skill solely from the knowledge of the initial hydrologic conditions. Finally, we show that, in terms of forecasting spatial patterns of SM anomalies, the skill of this agricultural drought forecast system is generally greater (> 0.8 correlation) during drought years (when standardized anomaly of MAM precipitation is below 0). This indicates that this system might be particularity useful for identifying drought events in this region and can support decision-making for mitigation or humanitarian assistance.
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Arora, S., A. V. Kulkarni, P. Ghosh, and S. K. Satheesh. "ESTIMATING CONTRIBUTION OF WATER FLOW COMPONENTS TO KAMENG RIVER BASIN USING HYDROLOGICAL MODELLING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 431–36. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-431-2021.
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Abstract. The Himalayas, also known as third pole of the Earth feed some of the major rivers of the world viz. Ganga, Indus, Brahmaputra etc. The accurate assessment of water resources in eastern Himalayas is very important for respective policy makers. The detailed assessment of water resources and hydrological cycle component are very critical for attaining United Nations sustainable development goals (SDGs) such as affordable and clean energy, clean water and sanitation and building resilient infrastructure This study focuses on Kameng river basin, estimating the melt water & its contribution to the total discharge of the river. A 3-layer VIC model coupled with energy balance algorithm is used to estimate the patterns of melt and discharge profile in the region. Net contribution of melt water to the river were estimated to be about 18% during peak melt season in upper catchments. With advancement in technology, acquiring meteorological data via remote sensing has become more accurate & of high resolution. This data is one of the major inputs of the model. With accurate forecasting of these parameters, multipurpose hydropower projects in these regions can plan well in advance thus playing a major role in Integrated Water Resource Management. In current study the coefficient of determination & Nash-Sutcliffe efficiency were calculated to be 0.82 & 0.71 respectively. With increasing population in the region, any substantial change in the streamflow will have consequences unknown as of now, thus making this study a necessity & need of hour.
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Tang, Qiuhong, Enrique R. Vivoni, Francisco Muñoz-Arriola, and Dennis P. Lettenmaier. "Predictability of Evapotranspiration Patterns Using Remotely Sensed Vegetation Dynamics during the North American Monsoon." Journal of Hydrometeorology 13, no. 1 (February 1, 2012): 103–21. http://dx.doi.org/10.1175/jhm-d-11-032.1.
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Abstract The links between vegetation, evapotranspiration (ET), and soil moisture (SM) are prominent in western Mexico—a region characterized by an abrupt increase in rainfall and ecosystem greenup during the North American monsoon (NAM). Most regional-scale land surface models use climatological vegetation and are therefore unable to capture fully the spatiotemporal changes in these linkages. Interannually varying and climatological leaf area index (LAI) were prescribed, both inferred from the space-borne Moderate Resolution Imaging Spectroradiometer (MODIS), as the source of vegetation parameter inputs to the Variable Infiltration Capacity (VIC) model applied over the NAM region for 2001–08. Results at two eddy covariance tower sites for three summer periods were compared and evaluated. Results show that both vegetation greening onset and dormancy dates vary substantially from year to year with a range of more than half a month. The model using climatological LAI tends to predict lower (higher) ET than the model using observed LAI when vegetation greening occurs earlier (later) than the mean greening date. These discrepancies were especially large during approximately two weeks at the beginning of the monsoon. The effect of LAI on ET estimates was about 10% in the Sierra Madre Occidental and 30% in the continental interior. VIC-estimated ET based on interannually varying LAI had high interannual variability at the greening onset and dormancy periods corresponding to the vegetation dynamics. The greening onset date was highly related to ET early in the monsoon season, indicating the potential usefulness of LAI anomalies for predicting early season ET.
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Curry, Charles L., and Francis W. Zwiers. "Examining controls on peak annual streamflow and floods in the Fraser River Basin of British Columbia." Hydrology and Earth System Sciences 22, no. 4 (April 16, 2018): 2285–309. http://dx.doi.org/10.5194/hess-22-2285-2018.
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Abstract. The Fraser River Basin (FRB) of British Columbia is one of the largest and most important watersheds in western North America, and home to a rich diversity of biological species and economic assets that depend implicitly upon its extensive riverine habitats. The hydrology of the FRB is dominated by snow accumulation and melt processes, leading to a prominent annual peak streamflow invariably occurring in May–July. Nevertheless, while annual peak daily streamflow (APF) during the spring freshet in the FRB is historically well correlated with basin-averaged, 1 April snow water equivalent (SWE), there are numerous occurrences of anomalously large APF in below- or near-normal SWE years, some of which have resulted in damaging floods in the region. An imperfect understanding of which other climatic factors contribute to these anomalously large APFs hinders robust projections of their magnitude and frequency. We employ the Variable Infiltration Capacity (VIC) process-based hydrological model driven by gridded observations to investigate the key controlling factors of anomalous APF events in the FRB and four of its subbasins that contribute nearly 70 % of the annual flow at Fraser-Hope. The relative influence of a set of predictors characterizing the interannual variability of rainfall, snowfall, snowpack (characterized by the annual maximum value, SWEmax), soil moisture and temperature on simulated APF at Hope (the main outlet of the FRB) and at the subbasin outlets is examined within a regression framework. The influence of large-scale climate modes of variability (the Pacific Decadal Oscillation (PDO) and the El Niño–Southern Oscillation – ENSO) on APF magnitude is also assessed, and placed in context with these more localized controls. The results indicate that next to SWEmax (univariate Spearman correlation with APF of ρ^ = 0.64; 0.70 (observations; VIC simulation)), the snowmelt rate (ρ^ = 0.43 in VIC), the ENSO and PDO indices (ρ^ = −0.40; −0.41) and (ρ^ = −0.35; −0.38), respectively, and rate of warming subsequent to the date of SWEmax (ρ^ = 0.26; 0.38), are the most influential predictors of APF magnitude in the FRB and its subbasins. The identification of these controls on annual peak flows in the region may be of use in understanding seasonal predictions or future projected streamflow changes.
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Morgan, Jess A. T., Wayne D. Sumpton, Andrew T. Jones, Alexander B. Campbell, John Stewart, Paul Hamer, and Jennifer R. Ovenden. "Assessment of genetic structure among Australian east coast populations of snapper Chrysophrys auratus (Sparidae)." Marine and Freshwater Research 70, no. 7 (2019): 964. http://dx.doi.org/10.1071/mf18146.
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Snapper Chrysophrys auratus is a high-value food fish in Australia targeted by both commercial and recreational fisheries. Along the east coast of Australia, fisheries are managed under four state jurisdictions (Queensland, Qld; New South Wales, NSW; Victoria, Vic.; and Tasmania, Tas.), each applying different regulations, although it is thought that the fisheries target the same biological stock. An allozyme-based study in the mid-1990s identified a weak genetic disjunction north of Sydney (NSW) questioning the single-stock hypothesis. This study, focused on east-coast C. auratus, used nine microsatellite markers to assess the validity of the allozyme break and investigated whether genetic structure exists further south. Nine locations were sampled spanning four states and over 2000km, including sites north and south of the proposed allozyme disjunction. Analyses confirmed the presence of two distinct biological stocks along the east coast, with a region of genetic overlap around Eden in southern NSW, ~400km south of the allozyme disjunction. The findings indicate that C. auratus off Vic. and Tas. are distinct from those in Qld and NSW. For the purpose of stock assessment and management, the results indicate that Qld and NSW fisheries are targeting a single biological stock.A
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Naha, Shaini, Praveen K. Thakur, and S. P. Aggarwal. "Hydrological Modelling and data assimilation of Satellite Snow Cover Area using a Land Surface Model, VIC." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 353–60. http://dx.doi.org/10.5194/isprs-archives-xli-b8-353-2016.
Full textAbstract:
The snow cover plays an important role in Himalayan region as it contributes a useful amount to the river discharge. So, besides estimating rainfall runoff, proper assessment of snowmelt runoff for efficient management and water resources planning is also required. A Land Surface Model, VIC (Variable Infiltration Capacity) is used at a high resolution grid size of 1 km. Beas river basin up to Thalot in North West Himalayas (NWH) have been selected as the study area. At first model setup is done and VIC has been run in its energy balance mode. The fluxes obtained from VIC has been routed to simulate the discharge for the time period of (2003-2006). Data Assimilation is done for the year 2006 and the techniques of Data Assimilation considered in this study are Direct Insertion (D.I) and Ensemble Kalman Filter (EnKF) that uses observations of snow covered area (SCA) to update hydrologic model states. The meteorological forcings were taken from 0.5 deg. resolution VIC global forcing data from 1979-2006 with daily maximum temperature, minimum temperature from Climate Research unit (CRU), rainfall from daily variability of NCEP and wind speed from NCEP-NCAR analysis as main inputs and Indian Meteorological Department (IMD) data of 0.25 °. NBSSLUP soil map and land use land cover map of ISRO-GBP project for year 2014 were used for generating the soil parameters and vegetation parameters respectively. The threshold temperature i.e. the minimum rain temperature is -0.5°C and maximum snow temperature is about +0.5°C at which VIC can generate snow fluxes. Hydrological simulations were done using both NCEP and IMD based meteorological Forcing datasets, but very few snow fluxes were obtained using IMD data met forcing, whereas NCEP based met forcing has given significantly better snow fluxes throughout the simulation years as the temperature resolution as given by IMD data is 0.5°C and rainfall resolution of 0.25°C. The simulated discharge has been validated using observed data from BBMB (Bhakra Beas Management Board) and coefficient of Correlation(R<sup>2</sup>) measured for (2003-2006) was 0.67 and 0.61 for the year 2006.But as VIC does not consider snowmelt runoff as a part of the total discharge, snowmelt runoff has been estimated for the simulation both with and without D.A. The snow fluxes as generated from VIC gives basin average estimates of Snow Cover, SWE, Snow Depth and Snow melt. It has been observed to be overestimated when model predicted snow cover is compared with MODIS SCA of 500 m resolution from MOD10A2 for each year. So MODIS 8-day snow cover area has been assimilated directly into the model state as well as by using EnKF after every 8 days for the year 2006.D.I Technique performed well as compared to EnKF. R<sup>2</sup> between Model SCA and MODIS SCA is estimated as 0.73 after D.I with Root Mean Square Error (RMSE) of +0.19. After direct Insertion of D.A, SCA has been reduced comparatively which resulted in 7% reduction of annual snowmelt contribution to total discharge.The assimilation of MODIS SCA data hence improved the snow cover area (SCA) fraction and finally updated other snow components.
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Pierce, D. W., A. L. Westerling, and J. Oyler. "Future humidity trends over the western United States in the CMIP5 global climate models and variable infiltration capacity hydrological modeling system." Hydrology and Earth System Sciences Discussions 9, no. 12 (December 12, 2012): 13651–91. http://dx.doi.org/10.5194/hessd-9-13651-2012.
Full textAbstract:
Abstract. Global climate models predict relative humidity (RH) in the western US will decrease at a rate of about 0.1–0.6% per decade, although with seasonal differences (most drying in spring and summer), geographical variability (greater declines in the interior), stronger reductions for greater anthropogenic radiative forcing, and notable spread among the models. Although atmospheric moisture content increases, this is more than compensated for by higher air temperatures, leading to declining RH. Fine-scale hydrological simulations driven by the global model results should reproduce these trends. It is shown that the meteorological algorithms used by the Variable Infiltration Capacity (VIC) hydrological model, when driven by daily Tmin, Tmax, and precipitation (a configuration used in numerous published studies), do not preserve the original global model's humidity trends. Trends are biased positive in the interior western US, so that strong RH decreases are changed to weak decreases, and weak decreases are changed to increases. This happens because the meteorlogical algorithms VIC incorporates infer an overly large positive trend in atmospheric moisture content in this region. The result could downplay the effects of decreasing RH on plants and wildfire. RH trends along the coast have a weak negative bias due to neglect of the ocean's moderating influence. A numerical experiment where VIC's values of Tdew are altered to compensate for the RH error suggests that eliminating the atmospheric moisture bias could, in and of itself, decrease runoff up to 14% in high-altitude regions east of the Sierra Nevada and Cascades, and reduce estimated Colorado River runoff at Lees Ferry up to 4 % by the end of the century.
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Zijlstra, C., and R. A. Van Hoof. "A Multiplex Real-Time Polymerase Chain Reaction (TaqMan) Assay for the Simultaneous Detection of Meloidogyne chitwoodi and M. fallax." Phytopathology® 96, no. 11 (November 2006): 1255–62. http://dx.doi.org/10.1094/phyto-96-1255.
Full textAbstract:
This study describes a multiplex real-time polymerase chain reaction (PCR) approach for the simultaneous detection of Meloidogyne chitwoodi and M. fallax in a single assay. The approach uses three fluorogenic minor groove binding (MGB) TaqMan probes: one FAM-labeled to detect M. chitwoodi, one VIC-labeled to detect M. fallax, and one NED-labeled to detect the internal amplification control (IAC) to monitor false negative results. One common primer set is used for the amplification of part of the internal transcribed spacer (ITS) region of M. chitwoodi and M. fallax and one primer set for the amplification of the IAC. The test enabled detection of M. chitwoodi and/or M. fallax in DNA samples extracted from batches of juveniles, from single juveniles, and from infected plant material. Compared with current assays to detect M. chitwoodi and M. fallax, the multiplex real-time PCR offers the following advantages: it is faster because the test can simultaneously detect both quarantine species without the need for post-PCR processing; and it is at least 10 times more sensitive than a comparable regular PCR also targeting the ITS sequence. Inclusion of the IAC facilitates the interpretation of the FAM and VIC cycle threshold (Ct) values and can prevent the scoring of false negative results when FAM, VIC, and NED Ct values are high. The test allows precise quantification when only one of the two species is present in the sample. However, experiments with mixtures of genomic DNA of M. chitwoodi and M. fallax revealed that the ability of the multiplex real-time PCR assay to detect small quantities of DNA of one species is reduced when large quantities of DNA of the other species are present.
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Zhu, Chunmei, and Dennis P. Lettenmaier. "Long-Term Climate and Derived Surface Hydrology and Energy Flux Data for Mexico: 1925–2004." Journal of Climate 20, no. 9 (May 1, 2007): 1936–46. http://dx.doi.org/10.1175/jcli4086.1.
Full textAbstract:
Abstract Studying the role of land surface conditions in the Mexican portion of the North American monsoon system (NAMS) region has been a challenge due to the paucity of long-term observations. A long-term gridded observation-based climate dataset suitable for forcing land surface models, as well as model-derived land surface states and fluxes for a domain consisting of all of Mexico, is described. The datasets span the period of January 1925–October 2004 at 1/8° spatial resolution at a subdaily (3 h) time step. The simulated runoff matches the observations plausibly over most of the 14 small river basins spanning all of Mexico, which suggests that long-term mean evapotranspiration is realistically reproduced. On this basis, and given the physically based model parameterizations of soil moisture and energy fluxes, the other surface fluxes and state variables such as soil moisture should be represented reasonably. In addition, a comparison of the surface fluxes from this study is performed with North American Regional Reanalysis (NARR) data on a seasonal mean basis. The results indicate that downward shortwave radiation is generally smaller than in the NARR data, especially in summer. Net radiation, on the other hand, is somewhat larger in the Variable Infiltration Capacity (VIC) hydrological model than in the NARR data for much of the year over much of the domain. The differences in radiative and turbulent fluxes are attributed to (i) the parameterization used in the VIC forcings for solar and downward longwave radiation, which links them to the daily temperature and temperature range, and (ii) differences in the land surface parameterizations used in VIC and the NCEP–Oregon State University–U.S. Air Force–NWS/Hydrologic Research Lab (Noah) land scheme used in NARR.
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Naha, Shaini, Praveen K. Thakur, and S. P. Aggarwal. "Hydrological Modelling and data assimilation of Satellite Snow Cover Area using a Land Surface Model, VIC." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 353–60. http://dx.doi.org/10.5194/isprsarchives-xli-b8-353-2016.
Full textAbstract:
The snow cover plays an important role in Himalayan region as it contributes a useful amount to the river discharge. So, besides estimating rainfall runoff, proper assessment of snowmelt runoff for efficient management and water resources planning is also required. A Land Surface Model, VIC (Variable Infiltration Capacity) is used at a high resolution grid size of 1 km. Beas river basin up to Thalot in North West Himalayas (NWH) have been selected as the study area. At first model setup is done and VIC has been run in its energy balance mode. The fluxes obtained from VIC has been routed to simulate the discharge for the time period of (2003-2006). Data Assimilation is done for the year 2006 and the techniques of Data Assimilation considered in this study are Direct Insertion (D.I) and Ensemble Kalman Filter (EnKF) that uses observations of snow covered area (SCA) to update hydrologic model states. The meteorological forcings were taken from 0.5 deg. resolution VIC global forcing data from 1979-2006 with daily maximum temperature, minimum temperature from Climate Research unit (CRU), rainfall from daily variability of NCEP and wind speed from NCEP-NCAR analysis as main inputs and Indian Meteorological Department (IMD) data of 0.25 °. NBSSLUP soil map and land use land cover map of ISRO-GBP project for year 2014 were used for generating the soil parameters and vegetation parameters respectively. The threshold temperature i.e. the minimum rain temperature is -0.5°C and maximum snow temperature is about +0.5°C at which VIC can generate snow fluxes. Hydrological simulations were done using both NCEP and IMD based meteorological Forcing datasets, but very few snow fluxes were obtained using IMD data met forcing, whereas NCEP based met forcing has given significantly better snow fluxes throughout the simulation years as the temperature resolution as given by IMD data is 0.5°C and rainfall resolution of 0.25°C. The simulated discharge has been validated using observed data from BBMB (Bhakra Beas Management Board) and coefficient of Correlation(R<sup>2</sup>) measured for (2003-2006) was 0.67 and 0.61 for the year 2006.But as VIC does not consider snowmelt runoff as a part of the total discharge, snowmelt runoff has been estimated for the simulation both with and without D.A. The snow fluxes as generated from VIC gives basin average estimates of Snow Cover, SWE, Snow Depth and Snow melt. It has been observed to be overestimated when model predicted snow cover is compared with MODIS SCA of 500 m resolution from MOD10A2 for each year. So MODIS 8-day snow cover area has been assimilated directly into the model state as well as by using EnKF after every 8 days for the year 2006.D.I Technique performed well as compared to EnKF. R<sup>2</sup> between Model SCA and MODIS SCA is estimated as 0.73 after D.I with Root Mean Square Error (RMSE) of +0.19. After direct Insertion of D.A, SCA has been reduced comparatively which resulted in 7% reduction of annual snowmelt contribution to total discharge.The assimilation of MODIS SCA data hence improved the snow cover area (SCA) fraction and finally updated other snow components.
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Pierce, D. W., A. L. Westerling, and J. Oyler. "Future humidity trends over the western United States in the CMIP5 global climate models and variable infiltration capacity hydrological modeling system." Hydrology and Earth System Sciences 17, no. 5 (May 14, 2013): 1833–50. http://dx.doi.org/10.5194/hess-17-1833-2013.
Full textAbstract:
Abstract. Global climate models predict relative humidity (RH) in the western US will decrease at a rate of about 0.1–0.6 percentage points per decade, albeit with seasonal differences (most drying in spring and summer), geographical variability (greater declines in the interior), stronger reductions for greater anthropogenic radiative forcing, and notable spread among the models. Although atmospheric moisture content increases, this is more than compensated for by higher air temperatures, leading to declining RH. Fine-scale hydrological simulations driven by the global model results should reproduce these trends. It is shown that the MT-CLIM meteorological algorithms used by the Variable Infiltration Capacity (VIC) hydrological model, when driven by daily Tmin, Tmax, and precipitation (a configuration used in numerous published studies), do not preserve the original global model's humidity trends. Trends are biased positive in the interior western US, so that strong RH decreases are changed to weak decreases, and weak decreases are changed to increases. This happens because the MT-CLIM algorithms VIC incorporates infer an overly large positive trend in atmospheric moisture content in this region, likely due to an underestimate of the effect of increasing aridity on RH. The result could downplay the effects of decreasing RH on plants and wildfire. RH trends along the coast have a weak negative bias due to neglect of the ocean's moderating influence. A numerical experiment where the values of Tdew are altered to compensate for the RH error suggests that eliminating the atmospheric moisture bias could, in and of itself, decrease runoff up to 14% in high-altitude regions east of the Sierra Nevada and Cascades, and reduce estimated Colorado River runoff at Lees Ferry up to 4% by the end of the century. It could also increase the probability of large fires in the northern and central US Rocky Mountains by 13 to 60%.
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Hamman, Joseph, Bart Nijssen, Michael Brunke, John Cassano, Anthony Craig, Alice DuVivier, Mimi Hughes, et al. "Land Surface Climate in the Regional Arctic System Model." Journal of Climate 29, no. 18 (August 26, 2016): 6543–62. http://dx.doi.org/10.1175/jcli-d-15-0415.1.
Full textAbstract:
Abstract The Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses the implementation of the Variable Infiltration Capacity land surface model (VIC) in RASM and evaluates the ability of RASM, version 1.0, to capture key features of the land surface climate and hydrologic cycle for the period 1979–2014 in comparison with uncoupled VIC simulations, reanalysis datasets, satellite measurements, and in situ observations. RASM reproduces the dominant features of the land surface climatology in the Arctic, such as the amount and regional distribution of precipitation, the partitioning of precipitation between runoff and evapotranspiration, the effects of snow on the water and energy balance, and the differences in turbulent fluxes between the tundra and taiga biomes. Surface air temperature biases in RASM, compared to reanalysis datasets ERA-Interim and MERRA, are generally less than 2°C; however, in the cold seasons there are local biases that exceed 6°C. Compared to satellite observations, RASM captures the annual cycle of snow-covered area well, although melt progresses about two weeks faster than observations in the late spring at high latitudes. With respect to derived fluxes, such as latent heat or runoff, RASM is shown to have similar performance statistics as ERA-Interim while differing substantially from MERRA, which consistently overestimates the evaporative flux across the Arctic region.
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Walker, James R., Christine Hervas, Julie D. Ross, Alexandra Blinkova, Michael J. Walbridge, Emilynn J. Pumarega, Mi-Oak Park, and Harold R. Neely. "Escherichia coli DNA Polymerase III τ- and γ-Subunit Conserved Residues Required for Activity In Vivo and In Vitro." Journal of Bacteriology 182, no. 21 (November 1, 2000): 6106–13. http://dx.doi.org/10.1128/jb.182.21.6106-6113.2000.
Full textAbstract:
ABSTRACT The Escherichia coli DNA polymerase III τ and γ subunits are single-strand DNA-dependent ATPases (the latter requires the δ and δ′ subunits for significant ATPase activity) involved in loading processivity clamp β. They are homologous to clamp-loading proteins of many organisms from phages to humans. Alignment of 27 prokaryotic τ/γ homologs and 1 eukaryotic τ/γ homolog has refined the sequences of nine previously defined identity and functional motifs. Mutational analysis has defined highly conserved residues required for activity in vivo and in vitro. Specifically, mutations introduced into highly conserved residues within three of those motifs, the P loop, the DExx region, and the SRC region, inactivated complementing activity in vivo and clamp loading in vitro and reduced ATPase catalytic efficiency in vitro. Mutation of a highly conserved residue within a fourth motif, VIc, inactivated clamp-loading activity and reduced ATPase activity in vitro, but the mutant gene, on a multicopy plasmid, retained complementing activity in vivo and the mutant gene also supported apparently normal replication and growth as a haploid, chromosomal allele.
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George, R., J. Lee, R. Stewart, T. Bayul, N. Campisi, F. Olale, A. Schier, J. Kanki, and A. T. Look. "Cloning and characterization of the sympathetic nervous system mutant, Sym3, in zebrafish." Journal of Clinical Oncology 25, no. 18_suppl (June 20, 2007): 9541. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.9541.
Full textAbstract:
9541 Background: Neuroblastoma (NB) is a neural crest tumor manifesting in the adrenal gland and the sympathetic ganglia. The goal of this project was to use the zebrafish model to identify genes involved in the development of the peripheral sympathetic nervous system (PSNS). We used the expression of tyrosine hydroxylase (TH) in the cervical sympathetic ganglion (cervical complex, CC), as a marker for PSNS development. TH expression can be observed by whole-mount RNA in situ hybridization in 2–3-day zebrafish embryos in the CC. Methods: In an ethyl nitrosourea mutagenesis screen for mutations that affect PSNS development, we identified a putative mutant, Sym3, showing a change in modeling of the TH staining cells in the region of the CC. Results and Conclusion: The TH-positive cells were scattered rather than conglomerated together as is typical of cells in the normal CC. The mutant was also characterized by a “curly-tail” phenotype. After the mutation was recovered from the F3 generation, heterozygous pairs harboring the mutation were identified. Using genome wide scanning PCR assay, linkage of the Sym3 mutation to microsatellite markers z9704 and z1351, located on Linkage Group 1, was established. Complementation assays were performed with other known “curly tail” mutants in the genetic interval, which revealed that Sym3 and a previously described vic mutant were in the same complementation group. The vic mutant is characterized by curved body axis, left to right asymmetry and kidney cysts and results from a mutation in the ARL13b gene, a protein of the Ras superfamily involved in intracellular trafficking and cilial motility. The vic mutation is a C to A transition at position 104 in the second exon of the open reading frame (T35L). The ARL13b gene in Sym3 has a four aa insertion at the 5’ end of the 4th exon of the coding region.The mutant Sym3 phenotype can be rescued by overexpression of the normal ARL13b gene. The vic mutant showed defective cilia formation in the kidney. However, immunocytochemistry showed normal cilia in the Sym3 mutant, suggesting that the Sym3 allele of ARL13b affects the development of alternative tissues during development, such as the aggregation of sympathetic neurons into discrete ganglia. Further functional characterization of the Sym3 mutation is ongoing. No significant financial relationships to disclose.
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Lu, Gui-Hua, Heng Xiao, Zhi-Yong Wu, Si-Long Zhang, and Yan Li. "Assessing the Impacts of Future Climate Change on Hydrology in Huang-Huai-Hai Region in China Using the PRECIS and VIC Models." Journal of Hydrologic Engineering 18, no. 9 (September 2013): 1077–87. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000632.
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Mishra, Vimal, Keith A. Cherkauer, and Shraddhanand Shukla. "Assessment of Drought due to Historic Climate Variability and Projected Future Climate Change in the Midwestern United States." Journal of Hydrometeorology 11, no. 1 (February 1, 2010): 46–68. http://dx.doi.org/10.1175/2009jhm1156.1.
Full textAbstract:
Abstract Understanding the occurrence and variability of drought events in historic and projected future climate is essential to managing natural resources and setting policy. The Midwest region is a key contributor in corn and soybean production, and the occurrence of droughts may affect both quantity and quality of these crops. Soil moisture observations play an essential role in understanding the severity and persistence of drought. Considering the scarcity of the long-term soil moisture datasets, soil moisture observations in Illinois have been one of the best datasets for studies of soil moisture. In the present study, the authors use the existing observational dataset and then reconstruct long-term historic time series (1916–2007) of soil moisture data using a land surface model to study the effects of historic climate variability and projected future climate change on regional-scale (Illinois and Indiana) drought. The objectives of this study are to (i) estimate changes and trends associated with climate variables in historic climate variability (1916–2007) and in projected future climate change (2009–99) and (ii) identify regional-scale droughts and associated severity, areal extent, and temporal extent under historic and projected future climate using reconstructed soil moisture data and gridded climatology for the period 1916–2007 using the Variable Infiltration Capacity (VIC) model. The authors reconstructed the soil moisture for a long-term (1916–2007) historic time series using the VIC model, which was calibrated for monthly streamflow and soil moisture at eight U.S. Geological Survey (USGS) gauge stations and Illinois Climate Network’s (ICN) soil moisture stations, respectively, and then it was evaluated for soil moisture, persistence of soil moisture, and soil temperature and heat fluxes. After calibration and evaluation, the VIC model was implemented for historic (1916–2007) and projected future climate (2009–99) periods across the study domain. The nonparametric Mann–Kendall test was used to estimate trends using the gridded climatology of precipitation and air temperature variables. Trends were also estimated for annual anomalies of soil moisture variables, snow water equivalent, and total runoff using a long-term time series of the historic period. Results indicate that precipitation, minimum air temperature, total column soil moisture, and runoff have experienced upward trends, whereas maximum air temperature, frozen soil moisture, and snow water equivalent experienced downward trends. Furthermore, the decreasing trends were significant for the frozen soil moisture in the study domain. The results demonstrate that retrospective drought periods and their severity were reconstructed using model-simulated data. Results also indicate that the study region is experiencing reduced extreme and exceptional droughts with lesser areal extent in recent decades.
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Liu, Yang Yang, and Bo Juan Liu. "Hydrologic Responses to Climate Change in Mountainous Watershed of Southwest China, 1980 to 2010." Applied Mechanics and Materials 675-677 (October 2014): 794–800. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.794.
Full textAbstract:
Hydrologic responses to climate change have become a great challenge and attracted widespread attention of the researchers. The mountainous Qingyi River watershed in the southwest, China, had experienced significant climate change in the past three decades. It is necessary to investigate the hydrologic responses to these changes. Therefore, the effect of climate change on evapotranspiration (ET), surface runoff, baseflow and streamflow were assessed using Variable Infiltration Capacity (VIC) hydrologic model. The Mann–Kendall test analysis was first used to identify the long-term change in precipitation and temperature over the period of 1980–2010. It revealed that there is a significant change in annual temperature particularly in February, March, July and September, whereas an insignificant change in annual precipitation was founded. Hydrologic simulations show that hydrologic responses to climate change were varied from region to region. Surface runoff was more sensitive than ET and baseflow. Monthly variation of the hydrologic processes, especially the change in surface runoff, was mainly attributed to seasonal variation in precipitation. The results of this research can be a useful source of information for the decision making in water resources management and protection.
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Pang, Alexis, Melissa W. L. Chang, and Yang Chen. "Evaluation of Random Forests (RF) for Regional and Local-Scale Wheat Yield Prediction in Southeast Australia." Sensors 22, no. 3 (January 18, 2022): 717. http://dx.doi.org/10.3390/s22030717.
Full textAbstract:
Wheat accounts for more than 50% of Australia’s total grain production. The capability to generate accurate in-season yield predictions is important across all components of the agricultural value chain. The literature on wheat yield prediction has motivated the need for more novel works evaluating machine learning techniques such as random forests (RF) at multiple scales. This research applied a Random Forest Regression (RFR) technique to build regional and local-scale yield prediction models at the pixel level for three southeast Australian wheat-growing paddocks, each located in Victoria (VIC), New South Wales (NSW) and South Australia (SA) using 2018 yield maps from data supplied by collaborating farmers. Time-series Normalized Difference Vegetation Index (NDVI) data derived from Planet’s high spatio-temporal resolution imagery, meteorological variables and yield data were used to train, test and validate the models at pixel level using Python libraries for (a) regional-scale three-paddock composite and (b) individual paddocks. The composite region-wide RF model prediction for the three paddocks performed well (R2 = 0.86, RMSE = 0.18 t ha−1). RF models for individual paddocks in VIC (R2 = 0.89, RMSE = 0.15 t ha−1) and NSW (R2 = 0.87, RMSE = 0.07 t ha−1) performed well, but moderate performance was seen for SA (R2 = 0.45, RMSE = 0.25 t ha−1). Generally, high values were underpredicted and low values overpredicted. This study demonstrated the feasibility of applying RF modeling on satellite imagery and yielded ‘big data’ for regional as well as local-scale yield prediction.