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Relevant bibliographies by topics / Sub-Seasonal

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Academic literature on the topic 'Sub-Seasonal'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Sub-Seasonal"

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Soret, A., V. Torralba, N. Cortesi, I. Christel, Ll Palma, A. Manrique-Suñén, Ll Lledó, N. González-Reviriego, and F. J. Doblas-Reyes. "Sub-seasonal to seasonal climate predictions for wind energy forecasting." Journal of Physics: Conference Series 1222 (May 2019): 012009. http://dx.doi.org/10.1088/1742-6596/1222/1/012009.

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King, Andrew D., Debra Hudson, Eun‐Pa Lim, Andrew G. Marshall, Harry H. Hendon, Todd P. Lane, and Oscar Alves. "Sub‐seasonal to seasonal prediction of rainfall extremes in Australia." Quarterly Journal of the Royal Meteorological Society 146, no. 730 (April 13, 2020): 2228–49. http://dx.doi.org/10.1002/qj.3789.

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Vitart, Frédéric, and Yuhei Takaya. "Lagged ensembles in sub‐seasonal predictions." Quarterly Journal of the Royal Meteorological Society 147, no. 739 (July 2021): 3227–42. http://dx.doi.org/10.1002/qj.4125.

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Levine, Matthew E. "Seasonal Symptoms in the Sub-Arctic." Military Medicine 160, no. 3 (March 1, 1995): 110–14. http://dx.doi.org/10.1093/milmed/160.3.110.

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Maddison, Eleanor J., Jennifer Pike, Amy Leventer, and Eugene W. Domack. "Deglacial seasonal and sub-seasonal diatom record from Palmer Deep, Antarctica." Journal of Quaternary Science 20, no. 5 (2005): 435–46. http://dx.doi.org/10.1002/jqs.947.

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Tuel, Alexandre, and Olivia Martius. "Weather persistence on sub-seasonal to seasonal timescales: a methodological review." Earth System Dynamics 14, no. 5 (September 13, 2023): 955–87. http://dx.doi.org/10.5194/esd-14-955-2023.

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Abstract. Persistence is an important concept in meteorology. It refers to surface weather or the atmospheric circulation either remaining in approximately the same state (quasi-stationarity) or repeatedly occupying the same state (recurrence) over some prolonged period of time. Persistence can be found at many different timescales; however, sub-seasonal to seasonal (S2S) timescales are especially relevant in terms of impacts and atmospheric predictability. For these reasons, S2S persistence has been attracting increasing attention from the scientific community. The dynamics responsible for persistence and their potential evolution under climate change are a notable focus of active research. However, one important challenge facing the community is how to define persistence from both a qualitative and quantitative perspective. Despite a general agreement on the concept, many different definitions and perspectives have been proposed over the years, among which it is not always easy to find one's way. The purpose of this review is to present and discuss existing concepts of weather persistence, associated methodologies and physical interpretations. In particular, we call attention to the fact that persistence can be defined as a global or as a local property of a system, with important implications in terms of methods and impacts. We also highlight the importance of timescale and similarity metric selection and illustrate some of the concepts using the example of summertime atmospheric circulation over western Europe.

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Seginer, Ido, and Ilyа Ioslovich. "Seasonal Sub-Optimal Environmental Control of Greenhouses." IFAC Proceedings Volumes 30, no. 26 (October 1997): 55–60. http://dx.doi.org/10.1016/s1474-6670(17)41245-6.

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Coelho, Caio A. S., Mári A. F. Firpo, and Felipe M. de Andrade. "A verification framework for South American sub-seasonal precipitation predictions." Meteorologische Zeitschrift 27, no. 6 (December 11, 2018): 503–20. http://dx.doi.org/10.1127/metz/2018/0898.

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Huang, Li Kun, and Guang Zhi Wang. "Study on Seasonal Characteristics of PM _2.5 in Harbin." Advanced Materials Research 183-185 (January 2011): 1246–49. http://dx.doi.org/10.4028/www.scientific.net/amr.183-185.1246.

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In order to investigate the seasonal characteristic of PM2.5, PM2.5 were collected in four seasons. This study investigates the elemental characteristics of PM2.5. The results show that the distribution trends of Ca, Na, and Mg are consistent and they are the highest in summer, lowest in winter. S is lower in summer and higher in autumn and winter, which is also caused by heating in autumn and winter. Si is higher in winter and lower in autumn, fly ash emissions from coal combustion is the main reason. Zn and K have a significant seasonal variation which is influenced by environmental factors in different seasons. Al and Fe mainly come from industrial emissions and natural emissions, Al is higher in summer and lower in winter, Fe is higher in winter lower in autumn. Cu, Cr, Cd, Ni, Mn, Sr, V, As, and Ba concentrations have lower content in four seasons, which indicates that emissions sources of these elements are more stable.

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林, 倩. "Performance of Sub-Seasonal to Seasonal (S2S) Products for Global Precipitation Forecasts." Journal of Water Resources Research 08, no. 06 (2019): 547–56. http://dx.doi.org/10.12677/jwrr.2019.86062.

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Dissertations / Theses on the topic "Sub-Seasonal"

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Vecchi, Gabriel Andrés. "Sub-seasonal wind variability and El Niño /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/11046.

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Hyatt, Carly Adeline. "Development and Regional Application of Sub-Seasonal Remote- Sensing Chlorophyll Detection Models." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4390.

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Remote sensing has been used as an effective chlorophyll-a detection method in inland lakes and reservoirs. Concentration estimates of chlorophyll-a approximate the amounts of algae and phytoplankton in a body of water, can indicate the existence of large blooms and high nutrient loading, and can be used as an indicator of water quality. These biomasses pose potential threats to the quality of the water and the local environment by depleting oxygen, influencing the taste of the drinking water and detrimentally affecting aesthetics and recreation. Deer Creek Reservoir exhibited eutrophic tendencies in the early 1990's, caused by phosphorus pollution. This was made evident by accelerated algae growth. Following remediation efforts, Deer Creek Reservoir, as well as nearby Jordanelle Reservoir have been closely monitored with regular field sampling. These field data have been used to develop remote sensing methods using Landsat images to provide supplementary information for reservoir management. These remote sensing methods allow for mapping of the distribution of chlorophyll-a, which provides spatial distribution average, and maximum estimates of chlorophyll-a concentrations, data and information that are not feasible with in-field sampling. In this thesis, traditional methods for remote sensing models are discussed, and a novel sub-seasonal approach based on seasonal algal succession is proposed and demonstrated. Each seasonal model is created using a standard stepwise regression using historic field data and the associated Landsat images and is statistically tested for leverage to ensure unbiased model development. These sub-seasonal detection models are applied to 5 reservoirs in the central-Utah region to provide a more comprehensive description of reservoir behavior and water quality trends over the past 30 years. Historic trends of the average and maximum chlorophyll-a estimates are provided for each of the reservoirs. Example color maps are presented to demonstrate the ability of remote sensing to represent the spatial distribution of algae (using chlorophyll as an indicator). Limitations for this approach are discussed, as well as applications for remotely sensed water quality data on a regional scale.

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Webster, Clare. "Measurement and modelling of sub-canopy radiation to seasonal snow in Alpine forests." Thesis, Northumbria University, 2017. http://nrl.northumbria.ac.uk/36114/.

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The overlap of seasonal snow and forests contributes significantly to global snowmelt, largely driven by net radiation, the combination of shortwave and longwave radiation. In sub-canopy longwave radiation models, unavailability of forest canopy temperature measurements often results in locally measured air temperatures being used to represent the temperature of the emitting canopy. The validity of this assumption was tested using extensive field measurements in three sub-canopy mid-latitude alpine environments, and resulted in improvements to model simulations of sub-canopy incoming longwave radiation. Three different radiometer configurations (stationary distributed, stationary linear, and moving linear) were simultaneously compared in a spruce forest in the eastern Swiss Alps, capturing the annual range of sun angles and sky conditions. The two linear configurations showed the greatest similarity in shortwave transmissivity, and the measurements of longwave enhancement were largely similar between all three configurations. Simulation of incoming longwave radiation at a point commonly partitions the up-looking hemispherical view between radiation coming from the sky (the sky-view fraction, Vf) and the forest canopy (1 - Vf). In this two-part model, using air temperature as a proxy for tree temperature at three forested sites with Vf < 0.3 resulted in model underestimations, representing canopy temperatures elevated above air temperature. Importantly, these errors were largest during sunny, clear-sky conditions, particularly along sun-lit canopy discontinuities. However, in denser canopies, measured tree trunk temperatures were cooler than local air temperature. Model estimations were improved by applying a bulk offset to air temperature (+3�C), reducing error from 11 Wm-2 to 4 Wm-2. Within sun-lit discontinuous forests, measured canopy temperatures varied between 5-25�C above air temperature and errors of the two-part model were as high as 40 Wm-2. Point-scale simulations of longwave radiation were improved by explicitly accounting for tree trunk temperatures within the canopy-view fraction, creating a three-part model (sky, trunk and canopy). Modelled estimates of incoming longwave radiation beyond the point-scale were improved through extensive canopy temperature measurements using infrared thermal imagery around forest gaps. A parametrisation to estimate canopy temperature using sub-canopy shortwave radiation and air temperature was developed for modelling sub-canopy incoming longwave radiation using the two-part model along canopy discontinuities. These findings provide a framework for incorporating sub-canopy longwave radiation within larger scale snowmelt models. Particularly, it is important to represent both canopy discontinuities, as well as canopy temperatures at sub-daily time steps. Exclusion of these factors could lead to inaccurate estimations of snowmelt initiation and runoff rates.

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IORIO, CARLA. "Valutazione delle funzioni cognitive e ruolo dei temperamenti affettivi in soggetti giovani con Seasonal Affective Disorder e con Sub-syndromal Seasonal Affective Disorder." Doctoral thesis, Università degli Studi dell'Aquila, 2021. http://hdl.handle.net/11697/169734.

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Il Seasonal Affective Disorder (SAD) è descritto nel DSM-5 come un disturbo depressivo maggiore ricorrente con andamento stagionale. Può variare da forme più invalidanti con compromissione del funzionamento ad altre più leggere, dette Sub-Sindromiche (S-SAD). La seguente ricerca, composta di 3 studi consecutivi, ha avuto lo scopo di fornire un contributo alla valutazione delle funzioni cognitive in un campione non clinico di giovani donne con SAD e in giovani donne con S-SAD. Abbiamo inoltre esaminato il ruolo dei temperamenti affettivi descritti da Akiskal nel SAD e nel S-SAD.

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Graham, John J. (John James) 1969. "Seasonal measurements of nonmethane hydrocarbons (NMHC) in a sub-tropical evergreen forest in Southern China." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/53037.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1998.
Includes bibliographical references (p. 169-180).
by John J. Graham, Jr.
Ph.D.

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Selato, Janet Chatanga. "Credibility and scale as barriers to uptake and use of seasonal climate forecasts in Bobirwa Sub-District, Botswana." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27526.

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Seasonal climate forecasts (SCF) can play a crucial role in reducing vulnerability to climate variability, particularly for rural populations reliant on agriculture for their livelihood. The use of disseminated SCF by farmers in decision-making could reduce losses and maximise benefits in agriculture. Despite the potential usefulness of SCF, incorporating them into farming decisions is a complex process that navigates through several barriers which constrain their effective use. The first two barriers, namely credibility (trust on SCF) and scale (relevance of SCF in geographical space and time), originate from the limitations of SCF associated with the form in which they are produced. In this study, credibility and scale are investigated as limitations of SCF, which potentially bar the uptake and use of SCF in Bobirwa sub-district. The second group of barriers are beyond the SCF themselves but limit their effective use and emanate from biophysical, socio-cultural and economic factors. This study examines whether credibility and scale are barriers to the use of SCF in Bobirwa farmers' decision-making, investigates how SCF are used in decision-making, and seeks to find out how the barriers are overcome. To make these investigations, qualitative data was collected from subsistence agro-pastoral farmers in eight villages in Bobirwa sub-district of Botswana using semi-structured interviews. Data was collected considering gender to allow for gendered analysis. Themes related to the main study questions were identified from the data and analysed for the number of people who mentioned the themes. It was found that all 47 farmers interviewed coincidentally had access to SCF and the majority used SCF in their decision-making, while only a handful of farmers were non-users of SCF. The results show that scale (both temporal and spatial) is a barrier for users of SCF, whereas credibility is a major constraint for non-users of SCF in Bobirwa. To cope with the barriers, farmers mainly use local knowledge to complement SCF. Additionally, farmers apply advice from Ministry of Agriculture (MoA) and use economic information in their decisions to deal with the barriers. Despite the barriers, some farmers indicated that using SCF was beneficial in increasing harvests, providing warnings and minimising losses of crops and livestock. However, disadvantages of using SCF were also highlighted, including lost crops, seeds and harvest, and missed opportunities to plant because of lack of temporal and geographical detail in the forecasts. The barrier of credibility has contributed to a few non-users resorting to using traditional planting, possibly making them vulnerable to the impacts of climate variability. A gendered analysis shows that almost equal proportions of both males and females use SCF. Moreover, women use SCF for crop farming while men use it for livestock management, which is aligned to traditional roles in Botswana. It is also revealed that, unlike women who only use local knowledge and MoA advice to overcome SCF limitations, a few men also use economic ventures, which could make men less vulnerable than women farmers. Strong networks between scientists and farmers can reduce the perceived credibility barrier, and innovative ways of reducing the scale barrier can be devised. Therefore, recommendations from the study include continuous engagement with farmers to understand their decisionmaking context in order to tailor the information to their local context as much as science permits. Government programmes should be designed to integrate SCF to build farmers' resilience to climate variabilities. The impacts on livestock farming, which is dominated by men, need to be given as much prominence in SCF information as arable farming. Forecasters should continue to improve credibility and scale without compromising either factor to avoid chances of contributing to the vulnerability of farmers particularly women, who mostly rely on SCF for crop production.

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Sehgal, Vinit. "Near Real-time Seasonal Drought Forecasting and Retrospective Drought Analysis using Simulated Multi- layer Soil Moisture from Hydrological Models at Sub- Watershed Scales." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78623.

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This study proposes a stratified approach of drought severity assessment using multi-layer simulated soil moisture. SWAT (Soil and Water Assessment Tool) models are calibrated for 50 watersheds in the South-Atlantic Gulf region of the Southeastern US and a high-resolution daily soil moisture dataset is obtained at Hydrologic Unit Code (HUC-12) resolution for a period of January 1982 through December 2013. A near real-time hydrologic simulation framework by coupling the calibrated SWAT models with the National Centers for Environmental Prediction (NCEP) coupled forecast system model version 2 (CFSv2) weather data is developed to forecast various water balance components including soil moisture (SM), actual evapotranspiration (ET), potential evapotranspiration ET (PET), and runoff (SURQ) for near-real time drought severity assessment, and drought forecasting for a lead of 9-months. A combination of the surface and total rooting depth soil moisture percentiles proves to be an effective increment over conventional drought assessment approaches in capturing both, transient and long-term drought impacts. The proposed real-time drought monitoring approach shows high accuracy in capturing drought onset and propagation and shows a high degree of similarity with the U.S. Drought Monitor (USDM), the long-term (PDSI, PHDI, SPI-9 and SPI-12), and the short-term (Palmer Z index, SPI-1 and SPI-6) drought indices.
Master of Science

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Heslop, Emma. "Unravelling high frequency and sub-seasonal variability at key ocean circulation 'choke' points : a case study from glider monitoring in the western Mediterranean sea." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/375360/.

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A quiet revolution is taking place in ocean observations: in the last decade new multiplatform ocean observatories have been progressively implemented in forward looking countries with ocean borders of economic and strategic importance. These developments are designed to fill significant gaps in our knowledge of ocean state and ocean variability through long-term science and society led monitoring. These new ocean observatories are now delivering results, not only the headline results of single issue experiments, but careful and systematic improvements in our knowledge of ocean variability, and thereby, increasing ocean forecast skill, the ability to link physical process to ecosystem response and to detect the impact of future climatic change. This PhD has used data from a recently initiated glider monitoring program to characterise variability in key components of the Mediterranean circulation that act through the Ibiza Channel. The Ibiza Channel is a key ‘choke’ point in the Mediterranean basin scale circulation and governs an important north/south exchange of different water mass that is known to impact regional ecosystems, in a zone of high biodiversity. The quasi-continuous glider sampling at this critical location has enabled important sub-seasonal to seasonal variability to be captured, and models to be developed to characterise the previously described ‘complex’ pattern of exchange. For the first time, glider monitoring revealed high frequency variability in the transport of water mass, of the same magnitude as the previously characterised seasonal cycle, but occurring over timescales of days to weeks. Although previous ship surveys had noted high cruise-to-cruise variability, they were insufficient to show that in fact water volumes exchanged through the Ibiza Channel vary on ‘weather’ timescales. Using the glider data in combination with an 18-year record of ship missions, long-term seasonal cycles in the north/south exchange were characterised. New month-by-month patterns were defined for the southward transport, while generally held views regarding the seasonality of the northward transport were revised. The pattern of the exchange was further characterised by 4 proposed seasonal ‘modes’, which reflect an annual interplay between vigorous mesoscale and basin scale dynamics. Restricted ‘choke’ points between our ocean basins are critical locations to monitor water transport variability, as they constrain the inter-basin exchange of heat, salt and nutrients. The Ibiza Channel is one such location. In addition to characterising key components of the regional circulation, this PhD also provides insight into use of glider monitoring at such critical locations, which can be used to inform multi-platform ocean observation strategy. This study is part of the quiet revolution.

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Taft, Linda [Verfasser]. "Sclerochronological δ18O and δ13C patterns in shells of the aquatic gastropod Radix sp. as a new climatic and hydrologic archive for the Tibetan Plateau in sub-seasonal resolution / Linda Taft." Berlin : Freie Universität Berlin, 2013. http://d-nb.info/1044576332/34.

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Osunmadewa, Babatunde Adeniyi, Worku Zewdie Gebrehiwot, Elmar Csaplovics, and Olabinjo Clement Adeofun. "Spatio-temporal monitoring of vegetation phenology in the dry sub-humid region of Nigeria using time series of AVHRR NDVI and TAMSAT datasets." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235570.

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Time series data are of great importance for monitoring vegetation phenology in the dry sub-humid regions where change in land cover has influence on biomass productivity. However few studies have inquired into examining the impact of rainfall and land cover change on vegetation phenology. This study explores Seasonal Trend Analysis (STA) approach in order to investigate overall greenness, peak of annual greenness and timing of annual greenness in the seasonal NDVI cycle. Phenological pattern for the start of season (SOS) and end of season (EOS) was also examined across different land cover types in four selected locations. A significant increase in overall greenness (amplitude 0) and a significant decrease in other greenness trend maps (amplitude 1 and phase 1) was observed over the study period. Moreover significant positive trends in overall annual rainfall (amplitude 0) was found which follows similar pattern with vegetation trend. Variation in the timing of peak of greenness (phase 1) was seen in the four selected locations, this indicate a change in phenological trend. Additionally, strong relationship was revealed by the result of the pixel-wise regression between NDVI and rainfall. Change in vegetation phenology in the study area is attributed to climatic variability than anthropogenic activities.

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Books on the topic "Sub-Seasonal"

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Sub-Seasonal to Seasonal Prediction. Elsevier, 2019. http://dx.doi.org/10.1016/c2016-0-01594-2.

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Robertson, Andrew, and Frederic Vitart. Sub-Seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting. Elsevier, 2018.

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Robertson, Andrew, and Frederic Vitart. Sub-Seasonal to Seasonal Prediction: The Gap Between Weather and Climate Forecasting. Elsevier, 2018.

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Book chapters on the topic "Sub-Seasonal"

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Pathak, Amey, and Subimal Ghosh. "Land–Atmosphere Interactions in Indian Monsoon at Sub-seasonal to Seasonal Scale." In Springer Water, 139–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02197-9_6.

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Zhu, Yuejian, Wei Li, Xiaqiong Zhou, and Dingchen Hou. "Stochastic Representation of NCEP GEFS to Improve Sub-seasonal Forecast." In Springer Atmospheric Sciences, 317–28. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3396-5_15.

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Razouls, Suzanne, and Claude Razouls. "Seasonal size distribution of developmental stages of sub-antarctic copepod." In Biology of Copepods, 239–46. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3103-9_22.

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Hussain, Manzoor, Ljupcho Jankuloski, M. Habib-ur-Rahman, Massoud Malek, Md Kamrul Islam, M. Reza Raheemi, Jawdat Dana, et al. "Improving sustainable cotton production through enhanced resilience to climate change using mutation breeding." In Mutation breeding, genetic diversity and crop adaptation to climate change, 145–56. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249095.0015.

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Abstract Cotton, being a leading commercial fibre crop, is grown on 20.5 million hectares in three major cotton-producing countries: China, India and Pakistan. Wide differences in yield per hectare exist among these countries and these are being aggravated by changing climate conditions, i.e. higher temperatures and significant seasonal and regional fluctuation in rainfall. Pakistan is one of the countries most affected by climate change. The disastrous effects of extreme periods of heat stress in cotton were very prominent in Pakistan during the growing seasons 2013-2014 (40-50% fruit abortion) and 2016-2017 (33% shortfall), which posed an alarming threat to the cotton-based economy of Pakistan. Poor resilience of the most commonly grown cotton varieties against extreme periods of heat stress are considered to be major factors for this drastic downfall in cotton production in Pakistan. Using the approach of induced mutation breeding, the Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan, has demonstrated its capabilities in developing cotton mutants that can tolerate the changed climatic conditions and sustain high yields under contrasting environments. The results of studies on the phenological and physiological traits conferring heat tolerance are presented here for thermo-tolerant cotton mutants (NIAB-878, NIAB-545, NIAB-1048, NIAB-444, NIAB-1089, NIAB-1064, NIAB-1042) relative to FH-142 and FH-Lalazar. NIAB-878 excelled in heat tolerance by maintaining the highest anther dehiscence (82%) and minimum cell injury percentage (39%) along with maximum stomatal conductance (27.7 mmol CO₂/m²/s), transpiration rate (6.89 μmol H₂O/m²/s), net photosynthetic rate (44.6 mmol CO₂/m²/s) and physiological water use efficiency (6.81 mmol CO₂/μmol H₂O) under the prevailing high temperatures.

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Jemberie, Mengistu A., Adane A. Awass, Assefa M. Melesse, Gebiaw T. Ayele, and Solomon S. Demissie. "Seasonal Rainfall–Runoff Variability Analysis, Lake Tana Sub-Basin, Upper Blue Nile Basin, Ethiopia." In Springer Geography, 341–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18787-7_17.

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Teye, Joseph Kofi, and Ebenezer G. A. Nikoi. "Climate-Induced Migration in West Africa." In IMISCOE Research Series, 79–105. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97322-3_5.

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AbstractAlthough West Africa’s contribution to global climate change is very minimal, its geographical location and weak adaptive capacity makes it highly vulnerable to the effects of climate change and variability. The livelihoods of people in the dry regions of West Africa, in particular, are adversely affected by increased temperature and fluctuating rainfall patterns because they depend on rain-fed agriculture and ecosystem services. Flooding is also a common climate-induced hazard in some West African countries. However, only a few researchers have examined the nature of climate-induced migration in the sub-region. This chapter examines how migration is used as a strategy to deal with climate change and variability in West Africa. While it is difficult to separate climatic drivers from the socio-economic causes of migration, seasonal and permanent migration are increasingly used by households to deal with climate change and variability in some communities in West Africa. Floods have also caused population displacement in parts of West Africa. While human mobility occurs in response to changes in climatic variables, migration is not adequately incorporated into planned climate change adaptation strategies being implemented by governments in the sub-region. This chapter, therefore, recommends that migration should be incorporated into climate change adaptation and development policies and programs in the sub-region.

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Lee, Christopher, Pieter Smets, Andrew Charlton-Perez, Läslo Evers, Giles Harrison, and Graeme Marlton. "The Potential Impact of Upper Stratospheric Measurements on Sub-seasonal Forecasts in the Extra-Tropics." In Infrasound Monitoring for Atmospheric Studies, 889–907. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75140-5_29.

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Belmecheri, Soumaya, William E. Wright, and Paul Szejner. "Sample Collection and Preparation for Annual and Intra-annual Tree-Ring Isotope Chronologies." In Stable Isotopes in Tree Rings, 103–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92698-4_4.

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AbstractThis chapter provides guidance for conducting studies based on stable isotope measurements in tree rings to infer past and present climate variability and ecophysiology. Balancing theoretical perspectives of stable isotope variations recorded in tree rings, intended research applications (paleoclimate or ecophysiology) and resource limitations, this chapter describes key aspects of field sampling strategies and laboratory sample processing. It presents an overview of factors influencing variations and thus interpretations of carbon and oxygen isotopes, including juvenile/age effects, canopy status and stand characteristicsto inform sampling strategies that optimize a robust paleoenvironmental and physiological signal with statistically defined confidence limits. Fieldwork considerations include the selection of a study site and trees, field equipment, and sample requirements to recover sufficient material for isotopic measurements, and the desired environmental signal. Aspects of laboratory sample processing include choosing a sampling resolution (e.g. whole ring, earlywood/latewood, thin section, etc.), sample pooling within and between trees, and particle size requirements for chemical extraction and analytical repeatability. Finally, this chapter provides a case study highlighting the potential benefits and limitations of high-resolution sub-seasonal sampling.

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Belmecheri, Soumaya, William E. Wright, and Paul Szejner. "Sample Collection and Preparation for Annual and Intra-annual Tree-Ring Isotope Chronologies." In Stable Isotopes in Tree Rings, 103–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92698-4_4.

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AbstractThis chapter provides guidance for conducting studies based on stable isotope measurements in tree rings to infer past and present climate variability and ecophysiology. Balancing theoretical perspectives of stable isotope variations recorded in tree rings, intended research applications (paleoclimate or ecophysiology) and resource limitations, this chapter describes key aspects of field sampling strategies and laboratory sample processing. It presents an overview of factors influencing variations and thus interpretations of carbon and oxygen isotopes, including juvenile/age effects, canopy status and stand characteristicsto inform sampling strategies that optimize a robust paleoenvironmental and physiological signal with statistically defined confidence limits. Fieldwork considerations include the selection of a study site and trees, field equipment, and sample requirements to recover sufficient material for isotopic measurements, and the desired environmental signal. Aspects of laboratory sample processing include choosing a sampling resolution (e.g. whole ring, earlywood/latewood, thin section, etc.), sample pooling within and between trees, and particle size requirements for chemical extraction and analytical repeatability. Finally, this chapter provides a case study highlighting the potential benefits and limitations of high-resolution sub-seasonal sampling.

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Jørgensen, Even Hjalmar, and Arne Mikal Arnesen. "Seasonal changes in osmotic and ionic regulation in Arctic charr, Salvelinus alpinus, from a high- and a sub-arctic anadromous population." In Ecology, behaviour and conservation of the charrs, genus Salvelinus, 185–93. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1352-8_15.

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Conference papers on the topic "Sub-Seasonal"

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Salles Civitarese, Daniel, and Bianca Zadrozny. "Machine learning derived sub-seasonal to seasonal extremes." In Anais Estendidos do Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbbd_estendido.2023.235209.

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Improving the accuracy of sub-seasonal to seasonal (S2S) extremes can significantly impact society. Providing S2S forecasts in the form of risk or extreme indices can aid in disaster response, especially for drought and flood events. Additionally, it can provide updates on disease outbreaks and aid in predicting the occurrence, duration, and decline of heatwaves. This work uses a transformer model to predict the daily temperature distributions in the S2S scale. We analyze how the model performs in extreme temperatures by comparing its output distributions with those obtained from ECMWF forecasts across different metrics. Our model produces better responses for temperatures in average and extreme regions. Also, we show how our model better captures the heatwave that hit Europe in the summer of 2019.

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Kustiyo, Aziz, Agus Buono, Akhmad Faqih, and Karlisa Priandana. "Analysis on Dimensionality Reduction Techniques for Sub-Seasonal to Seasonal Rainfall Prediction." In 2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE). IEEE, 2021. http://dx.doi.org/10.1109/cosite52651.2021.9649588.

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Malzone, Jonathan M. "MORPHOLOGICAL CONTROL OF SEASONAL AND SUB-SEASONAL GROUNDWATER FLOW IN GEOGRAPHICALLY ISOLATED WETLANDS." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-299778.

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"Improving sub-seasonal streamflow forecasts across flow regimes." In 24th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2021. http://dx.doi.org/10.36334/modsim.2021.k5.mcinerney.

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Dinwiddie, Cynthia, Timothy N. Titus, and Adrianna Buxrude. "DIURNAL AND SEASONAL CO₂ ICE AT KAISER CRATER, MARS." In GSA Connects 2023 Meeting in Pittsburgh, Pennsylvania. Geological Society of America, 2023. http://dx.doi.org/10.1130/abs/2023am-391306.

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Calvin, Wendy, Peter Thomas, and Samuel Cartwright. "SOUTH POLAR CO₂ ICE ON MARS: REVISITING "SEASONAL" AND "RESIDUAL"." In GSA Connects 2023 Meeting in Pittsburgh, Pennsylvania. Geological Society of America, 2023. http://dx.doi.org/10.1130/abs/2023am-392917.

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NATSAGDORJ, AMGALAN, BULGANKHANGAI TUGSBAYAN, TSELMUUNGARAV BATTUMUR, BOLORMAA OYUNTSETSEG, JIYI LEE, YONG PYO KIM, and BATTSETSEG USUHBAYAR. "SEASONAL CONCENTRATIONS OF ELEMENTS IN BOTH INDOOR AND OUTDOOR HOUSING IN PM_2.5." In AIR POLLUTION 2021. Southampton UK: WIT Press, 2021. http://dx.doi.org/10.2495/air210051.

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Neuharth, Kayla D., Mark B. Hausner, Mark B. Hausner, Kevin P. Wilson, and Kevin P. Wilson. "MODELING THE IMPACTS OF SUB-SEASONAL ENVIRONMENTAL VARIABILITY AT DEVILS HOLE." In GSA Annual Meeting in Indianapolis, Indiana, USA - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018am-319699.

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Shaifullah, Shaifullah, and Indra Sen. "Seasonal trends of chemical weathering rate and CO₂ consumption yield in the Upper Ganga Basin." In Goldschmidt2023. France: European Association of Geochemistry, 2023. http://dx.doi.org/10.7185/gold2023.14297.

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Jayeshlal, G. S., Malladi Satyanarayana, Reji K. Dhaman, and G. S. Motty. "Seasonal and optical characterisation of cirrus clouds over Indian sub-continent using LIDAR." In LIGHT AND ITS INTERACTIONS WITH MATTER. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4898237.

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Reports on the topic "Sub-Seasonal"

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Oechel, Walter, and Aram Kalhori. Seasonal and Intra-annual Controls on CO₂ Flux in Arctic Alaska. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1233182.

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Orange, Daniel L., and Ana Garcia-Garcia. Repeat Surveys to Evaluate Seasonal Variability in Seafloor and Shallow Sub-surface Acoustic Properties, Shallow Water Gulf of Mexico. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada515031.

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