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1
White, Cary Blake, and Cary Blake White. "Soil Moisture Variability in Land Surface-Atmosphere Interactions." Thesis, The University of Arizona, 1996. http://hdl.handle.net/10150/626791.
Full textAbstract:
Meteorological measurements in the Walnut Gulch catchment in Arizona were used
to synthesize a distributed, hourly-average time series of data across a 26.9 by 12.5 km area
with a grid resolution of 480 m for a continuous 18-month period which included two
seasons of monsoonal rainfall. Coupled surface-atmosphere model runs established the
acceptability (for modeling purposes) of assuming uniformity in all meteorological variables
other than rainfall. Rainfall was interpolated onto the grid from an array of 82 recording rain
gauges. These meteorological data were used as forcing variables for an equivalent array of
stand-alone Biosphere-Atmosphere Transfer Scheme (BATS) models to describe the
evolution of soil moisture and surface energy fluxes in response to the prevalent,
heterogeneous pattern of convective precipitation. The calculated area-average behavior was
compared with that given by a single aggregate BATS simulation forced with area-average
meteorological data. Heterogeneous rainfall gives rise to significant but partly compensating
differences in the transpiration and the intercepted rainfall components of total evaporation
during rain storms. However, the calculated area-average surface energy fluxes given by the
two simulations in rain-free conditions with strong heterogeneity in soil moisture were
always close to identical, a result which is independent of whether default or site-specific
vegetation and soil parameters are used. Because the spatial variability in soil moisture
throughout the catchment has the same order of magnitude as the amount of rain falling in
a typical convective storm (commonly 10% of the vegetation's root zone saturation), in a
semi-arid environment, any non-linearity in the relationship between transpiration and the
soil moisture available to the vegetation has limited influence on area-average surface fluxes.
2
McAtee, Brendon Kynnie. "Surface-atmosphere interactions in the thermal infrared (8 - 14um)." Thesis, Curtin University, 2003. http://hdl.handle.net/20.500.11937/408.
Full textAbstract:
Remote sensing of land surface temperature (LST) is a complex task. From a satellite-based perspective the radiative properties of the land surface and the atmosphere are inextricably linked. Knowledge of both is required if one is to accurately measure the temperature of the land surface from a space-borne platform. In practice, most satellite-based sensors designed to measure LST over the surface of the Earth are polar orbiting. They scan swaths of the order of 2000 km, utilizing zenith angles of observation of up to 60°. As such, satellite viewing geometry is important when comparing estimates of LST between different overpasses of the same point on the Earth's surface. In the case of the atmosphere, the optical path length through which the surfaceleaving radiance propagates increases with increasing zenith angle of observation. A longer optical path may in turn alter the relative contributions which molecular absorption and emission processes make to the radiance measured at the satellite sensor. A means of estimating the magnitudes of these radiative components in relation to the viewing geometry of the satellite needs to be developed if their impacts on the at-sensor radiance are to be accurately accounted for. The problem of accurately describing radiative transfer between the surface and the satellite sensor is further complicated by the fact that the surface-leaving radiance itself may also vary with sensor viewing geometry. Physical properties of the surface such as emissivity are known to vary as the zenith angle of observation changes. The proportions of sunlit and shaded areas with the field-of-view of the sensor may also change with viewing geometry depending on the type of cover (eg vegetation), further impacting the surface emissivity.Investigation of the change in surface-leaving radiance as the zenith angle of observation varies is then also important in developing a better understanding of the radiative interaction between the land surface and the atmosphere. The work in this study investigates the atmospheric impacts using surface brightness temperature measurements from the ATSR-2 satellite sensor in combination with atmospheric profile data from radiosondes and estimates of the downwelling sky radiance made by a ground-based radiometer. A line-by-line radiative transfer model is used to model the angular impacts of the atmosphere upon the surfaceleaving radiance. Results from the modelling work show that if the magnitude of the upwelling and downwelling sky radiance and atmospheric transmittance are accurately known then the surface-emitted radiance and hence the LST may be retrieved with negligible error. Guided by the outcomes of the modelling work an atmospheric correction term is derived which accounts for absorption and emission by the atmosphere, and is based on the viewing geometry of the satellite sensor and atmospheric properties characteristic of a semi-arid field site near Alice Springs in the Northern Territory (Central Australia). Ground-based angular measurements of surface brightness temperature made by a scanning, self calibrating radiometer situated at this field site are then used to investigate how the surface-leaving radiance varies over a range of zenith angles comparable to that of the ATSR-2 satellite sensor.Well defined cycles in the angular dependence of surface brightness temperature were observed on both diumal and seasonal timescales in these data. The observed cycles in surface brightness temperature are explained in terms of the interaction between the downwelling sky radiance and the angular dependence of the surface emissivity. The angular surface brightness temperature and surface emissivity information is then applied to derive an LST estimate of high accuracy (approx. 1 K at night and 1-2 K during the day), suitable for the validation of satellite-derived LST measurements. Finally, the atmospheric and land surface components of this work are combined to describe surface-atmosphere interaction at the field site. Algorithms are derived for the satellite retrieval of LST for the nadir and forward viewing geometries of the ATSR-2 sensor, based upon the cycles in the angular dependence of surface brightness temperature observed in situ and the atmospheric correction term developed from the modelling of radiative transfer in the atmosphere. A qualitative assessment of the performance of these algorithms indicates they may obtain comparable accuracy to existing dual angle algorithms (approx. 1.5 K) in the ideal case and an accuracy of 3-4 K in practice, which is limited by knowledge of atmospheric properties (eg downwelling sky radiance and atmospheric transmittance), and the surface emissivity. There are, however, strong prospects of enhanced performance given better estimates of these physical quantities, and if coefficients within the retrieval algorithms are determined over a wider range of observation zenith angles in the future.
3
McAtee, Brendon Kynnie. "Surface-atmosphere interactions in the thermal infrared (8 - 14um)." Curtin University of Technology, Department of Applied Physics, 2003. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14481.
Full textAbstract:
Remote sensing of land surface temperature (LST) is a complex task. From a satellite-based perspective the radiative properties of the land surface and the atmosphere are inextricably linked. Knowledge of both is required if one is to accurately measure the temperature of the land surface from a space-borne platform. In practice, most satellite-based sensors designed to measure LST over the surface of the Earth are polar orbiting. They scan swaths of the order of 2000 km, utilizing zenith angles of observation of up to 60°. As such, satellite viewing geometry is important when comparing estimates of LST between different overpasses of the same point on the Earth's surface. In the case of the atmosphere, the optical path length through which the surfaceleaving radiance propagates increases with increasing zenith angle of observation. A longer optical path may in turn alter the relative contributions which molecular absorption and emission processes make to the radiance measured at the satellite sensor. A means of estimating the magnitudes of these radiative components in relation to the viewing geometry of the satellite needs to be developed if their impacts on the at-sensor radiance are to be accurately accounted for. The problem of accurately describing radiative transfer between the surface and the satellite sensor is further complicated by the fact that the surface-leaving radiance itself may also vary with sensor viewing geometry. Physical properties of the surface such as emissivity are known to vary as the zenith angle of observation changes. The proportions of sunlit and shaded areas with the field-of-view of the sensor may also change with viewing geometry depending on the type of cover (eg vegetation), further impacting the surface emissivity.Investigation of the change in surface-leaving radiance as the zenith angle of observation varies is then also important in developing a better understanding of the radiative interaction between the land surface and the atmosphere. The work in this study investigates the atmospheric impacts using surface brightness temperature measurements from the ATSR-2 satellite sensor in combination with atmospheric profile data from radiosondes and estimates of the downwelling sky radiance made by a ground-based radiometer. A line-by-line radiative transfer model is used to model the angular impacts of the atmosphere upon the surfaceleaving radiance. Results from the modelling work show that if the magnitude of the upwelling and downwelling sky radiance and atmospheric transmittance are accurately known then the surface-emitted radiance and hence the LST may be retrieved with negligible error. Guided by the outcomes of the modelling work an atmospheric correction term is derived which accounts for absorption and emission by the atmosphere, and is based on the viewing geometry of the satellite sensor and atmospheric properties characteristic of a semi-arid field site near Alice Springs in the Northern Territory (Central Australia). Ground-based angular measurements of surface brightness temperature made by a scanning, self calibrating radiometer situated at this field site are then used to investigate how the surface-leaving radiance varies over a range of zenith angles comparable to that of the ATSR-2 satellite sensor.
Well defined cycles in the angular dependence of surface brightness temperature were observed on both diumal and seasonal timescales in these data. The observed cycles in surface brightness temperature are explained in terms of the interaction between the downwelling sky radiance and the angular dependence of the surface emissivity. The angular surface brightness temperature and surface emissivity information is then applied to derive an LST estimate of high accuracy (approx. 1 K at night and 1-2 K during the day), suitable for the validation of satellite-derived LST measurements. Finally, the atmospheric and land surface components of this work are combined to describe surface-atmosphere interaction at the field site. Algorithms are derived for the satellite retrieval of LST for the nadir and forward viewing geometries of the ATSR-2 sensor, based upon the cycles in the angular dependence of surface brightness temperature observed in situ and the atmospheric correction term developed from the modelling of radiative transfer in the atmosphere. A qualitative assessment of the performance of these algorithms indicates they may obtain comparable accuracy to existing dual angle algorithms (approx. 1.5 K) in the ideal case and an accuracy of 3-4 K in practice, which is limited by knowledge of atmospheric properties (eg downwelling sky radiance and atmospheric transmittance), and the surface emissivity. There are, however, strong prospects of enhanced performance given better estimates of these physical quantities, and if coefficients within the retrieval algorithms are determined over a wider range of observation zenith angles in the future.
4
McAtee, Brendon Kynnie. "Surface-atmosphere interactions in the thermal infrared (8 - 14℗æm) /." Full text available, 2003. http://adt.curtin.edu.au/theses/available/adt-WCU20040324.085644.
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5
Goncalves, de Goncalves Luis Gustavo. "LAND SURFACE-ATMOSPHERE INTERACTIONS IN REGIONAL MODELING OVER SOUTH AMERICA." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/195893.
Full textAbstract:
Land surface processes play an important role when modeling weather and climate, and understanding and representing such processes in South America is a particular challenge because of the large variations in regional climate and surface features such as vegetation and soil. Numerical models have been used to explore the climate and weather of continental South America, but without appropriate initiation of land surface conditions model simulations can rapidly diverge from reality. This initiation problem is exacerbated by the fact that conventional surface observations over South America are scarce and biased towards the urban centers and coastal areas. This dissertation explores issues related to the apt representation of land surface processes and their impacts in numerical simulations with a regional atmospheric model (specifically the Eta model) over South America. The impacts of vegetation heterogeneity in regional weather forecast were first investigated. A South American Land Data Assimilation System (SALDAS) was then created analogous to that currently used in North America to estimate soil moisture fields for initializing regional atmospheric models. The land surface model (LSM) used in this SALDAS is the Simplified Simple Biosphere (SSiB). Precipitation fields are critical when calculating soil moisture and, because conventional surface observations are scarce in South America, some of the most important remote sensed precipitation products were evaluated as potential precipitation forcing for the SALDAS. Spin up states for SSiB where then compared with climatological estimates of land surface fields and significant differences found. Finally, an assessment was made of the value of SALDAS-derived soil moisture fields on Eta model forecasts. The primary result was that model performance is enhanced over the entire continent in up to 72h forecasts using SALDAS surface fields
6
Bain, Caroline Louise. "Interactions between the Land Surface and the Atmosphere over West Africa." Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491661.
Full textAbstract:
The north-south gradient in surface temperature and rainfall in West Africa leads to the summertime monsoon circulation. Here, the full extent of the relationship between the land surface and the atmosphere is discussed with particular reference to the impact that soil moisture has on the atmosphere at different spatial scales. Observations from the AMMA field campaign in 2005 and 2006 are combined with satellite analysis and model simulations to discuss various interactions between the land surface and the atmosphere. Tethered balloon observations from Mali in August 2005 are used to assess the characteristics of the nocturnal boundary layer. It is observed that a stronger surface temperature inversion after sunset leads to a faster nocturnal jet, and these findings are further investigated using surface station data. Case studies of two nights of observations are used to discuss the variation of observed boundary layer structures. It is found that on nights where the nocturnal jet is weaker, the winds align with African Easterly Wave (AEW) circulations on the larger scale. . Following this, the impact that AEWs had on sl1rface properties is examined. Flux data from Niamey showed little statistical correlation with wave passage. It is suggested this could be partly due to the study year having more westerly initiating waves than climatology. The inducement of circulations by soil moisture inhomogeneities are discussed in regard to previous literature, where a moist cool surface leads to high pressure and anticyclonic circulation. The relation of this theory to the synoptic scale is investigated using a case study from 25-29 July 2006. During this time, an unusually-structured AEW left a distinct synoptic 'wave' pattern of soil moisture in the Sahel region due to its modulation of convection. The structure of this wave and the initial conditions which lead to the soil moisture pattern are discussed. The atmospheric impact of the soil moisture wave is investigated using the Met Office Unified Model. It is found that th~ enhanced soil moisture leads to a cooler, moister, . thinner boundary layer. This leads to divergent winds at low levels and a reduction in the monsoon flow due to the reduction in the north-south pressure gradient. There is indication that low-level anticyclonic circulations are enhanced. The enhanced soil moisture wave also leads to an increase in easterly winds at the African Easterly Jet level: it is shown that this is due to a decrease in boundary layer height and a reduction in turbulence. Inspection of wave energetics shows the case study wave appears to be in a decaying phase. There is evidence that the soil moisture wave increases the thermal decay by decreasing the temperature behind the trough in the warm region, reducing the temperature eddies and re-establishing the zonal temperature gradient. This study has implications for weather forecasting as the results suggest that patterns in soil moisture on the large scale are able to alter atmospheric dynamics at the synoptic scale within the time frame of a few days. This leads to further questions as to whether a realistic representation of soil moisture in mo.dels would lead to an improvement in the simulation 'of tropical synoptic dynamics.
7
Zhuang, Haixiong School of Mathematics UNSW. "Parameterisation of atmosphere-ocean surface interactions, with applications to the Australian monsoon." Awarded by:University of New South Wales. School of Mathematics, 2004. http://handle.unsw.edu.au/1959.4/26170.
Full textAbstract:
Atmosphere-ocean and atmosphere-land interactions are important processes which determine the development of monsoon systems. In this study, a new atmosphere-ocean surface interaction scheme, referred to as AOSIS, is developed and verified with observed data. AOSIS, together with ALSIS (Atmosphere-Land Surface Interaction Scheme), is then coupled into CEMSYS4 (Computational Environmental Modelling System) to investigate the influences of atmosphere-ocean and atmosphere-land surface interactions on the Australian Monsoon, especially the monsoon onset, break and withdrawal. Numerical experiments are carried out and the simulations are compared with the NCEP (National Center for Environmental Prediction, America) data. AOSIS is constructed with three basic components, i.e., a two-layer ocean temperature model, a wind-wave model and a surface flux model. We divide the ocean into a mixed layer and a deep layer. However, the depth of the mixed layer is not constant but varies with time, depending on surface wind shear and buoyancy flux. In AOSIS, we adapted the approach of relating the stages of wave development by wave age and proposed a new expression for calculating the ocean surface roughness length, $z_{0m}$, with consideration of waves. We test AOSIS in a stand along mode against the Moana data and the NCEP data. The comparison with the Moana data shows that AOSIS has considerable skill in simulating SST (sea surface temperature) and energy fluxes, with the simulated values in good agreement with observed data. AOSIS is also successful in simulating the warm and cool effects considered in the COARE (Coupled Ocean-Atmosphere Response Experiment) scheme. Comparison with the NCEP data also confirms that AOSIS simulates SST well. AOSIS and ALSIS are then coupled into CEMSYS4. We apply the system to the simulation of SST and surface energy fluxes over the Australian region and compared the results with the NCEP data. It is found that the simulated SST and energy fluxes are in good agreement with the NCEP data. Further, we study the synoptic events of the Australian Monsoon onset, break and withdrawal and examine the impacts of atmosphere-ocean and atmosphere-land surface interactions on such synoptic events.
8
Virmani, Jyotika I. "Ocean-atmosphere interactions on the West Florida shelf." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001141.
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9
Wu, Zhaohua. "Thermally driven surface winds in the tropics /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/10075.
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10
Ghent, Darren John. "Land surface modelling and Earth observation of land/atmosphere interactions in African savannahs." Thesis, University of Leicester, 2011. http://hdl.handle.net/2381/10274.
Full textAbstract:
Land/atmosphere feedback processes play a significant role in determining climate forcing on monthly to decadal timescales. Considerable uncertainty however exists in land surface model representation of these processes. This investigation represents an innovative approach to understanding key land surface processes in African savannahs in the framework of the UK‘s most important land surface model – the Joint UK Land Environment Simulator (JULES). Findings from an investigation into the carbon balance of Africa for a 25-year period from 1982 to 2006 inclusive show that JULES estimated Africa to behave as a carbon sink for most of the 1980‘s and 1990‘s punctuated by three periods as a carbon source, which coincided with the three strongest El Niño events of the period. From 2002 until 2006 the continent was also estimated to be a source of carbon. Overall, the JULES simulation suggests a weakening of the African terrestrial carbon sink during this period primarily caused by hot and dry conditions in savannahs. Applying the model further, land surface temperature (LST) displayed large uncertainty with respect to savannah field measurements from Kruger National Park, South Africa, and JULES systematically underestimated LST with respect to Earth Observation data continent-wide. The postulation was that a reduction in the uncertainty of surface-to-atmosphere heat and water fluxes could be achieved by constraining JULES simulations with satellite-derived LST using an Ensemble Kalman Filter. Findings show statistically significant reductions in root mean square errors with data assimilation than without; for heat flux simulations when compared with Eddy Covariance measurements, and surface soil moisture when compared with derivations from microwave scatterometers. The improved representation of LST was applied to map daily fuel moisture content – one of the most important wildfire determinants - over the mixed tree/grass landscapes of Africa, whereby values were strongly correlated with field measurements acquired from three savannah locations.
11
Winterrath, Tanja. "Numerical investigations on atmosphere-biosphere interactions impact of radiation fog and leaf surface water /." [S.l. : s.n.], 2002. http://archimed.uni-mainz.de/pub/2002/0143/diss.pdf.
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12
Evans, Jason Peter, and jason evans@yale edu. "Modelling Climate - Surface Hydrology Interactions in Data Sparse Areas." The Australian National University. Centre for Resource and Environmental Studies, 2000. http://thesis.anu.edu.au./public/adt-ANU20020313.032142.
Full textAbstract:
The interaction between climate and land-surface hydrology is extremely important in relation to long term water
resource planning. This is especially so in the presence of global warming and massive land use change, issues which
seem likely to have a disproportionate impact on developing countries. This thesis develops tools aimed at the study
and prediction of climate effects on land-surface hydrology (in particular streamflow), which require a minimum
amount of site specific data. This minimum data requirement allows studies to be performed in areas that are data
sparse, such as the developing world.
¶
A simple lumped dynamics-encapsulating conceptual rainfall-runoff model, which explicitly calculates the evaporative
feedback to the atmosphere, was developed. It uses the linear streamflow routing module of the rainfall-runoff model
IHACRES, with a new non-linear loss module based on the Catchment Moisture Deficit accounting scheme, and is referred
to as CMD-IHACRES. In this model, evaporation can be calculated using a number of techniques depending on the data
available, as a minimum, one to two years of precipitation, temperature and streamflow data are required. The model
was tested on catchments covering a large range of hydroclimatologies and shown to estimate streamflow well. When
tested against evaporation data the simplest technique was found to capture the medium to long term average well but
had difficulty reproducing the short-term variations.
¶
A comparison of the performance of three limited area climate models (MM5/BATS, MM5/SHEELS and RegCM2) was conducted
in order to quantify their ability to reproduce near surface variables. Components of the energy and water balance
over the land surface display considerable variation among the models, with no model performing consistently better
than the other two. However, several conclusions can be made. The MM5 longwave radiation scheme performed worse than
the scheme implemented in RegCM2. Estimates of runoff displayed the largest variations and differed from observations
by as much as 100%. The climate models exhibited greater variance than the observations for almost all the energy and
water related fluxes investigated.
¶
An investigation into improving these streamflow predictions by utilizing CMD-IHACRES was conducted. Using
CMD-IHACRES in an 'offline' mode greatly improved the streamflow estimates while the simplest evaporation technique
reproduced the evaporative time series to an accuracy comparable to that obtained from the limited area models alone.
The ability to conduct a climate change impact study using CMD-IHACRES and a stochastic weather generator is also
demonstrated. These results warrant further investigation into incorporating the rainfall-runoff model CMD-IHACRES
in a fully coupled 'online' approach.
13
Kelly, Patrick. "Evaluation of Land-Atmosphere Interactions in Models of the North American Monsoon." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_theses/118.
Full textAbstract:
Improving diurnal errors in surface-based heating processes in models might be a promising step towards improved seasonal simulation of the North American Monsoon (NAM). This study isolates model errors in the surface energy budget and examines diurnal heating implications for seasonal development of the NAM 500hPa anticyclone and 850-500hPa thickness ridge using observations and multi-model output. Field data from the 2004 North American Monsoon Experiment (NAME) and satellite estimates are used to evaluate land-atmosphere interactions in regional and global models as part of the North American Monsoon Model Assessment Project 2 (NAMAP2). Several key findings about heating in the NAM emerge: ? Models exhibit considerable differences in surface radiation of the NAM, beginning with albedo (Fig. 3.1). All models have highly-biased albedo throughout summer (Fig. 3.2). ? Observed net surface radiation is around 125 Wm-2 over land in the NAM region in summer (Table 3.5). Models overestimate it by an average of about 20 Wm-2, despite their high albedo, apparently due to deficiencies in cloud radiative forcing. ? Partitioning of this net radiation into latent and sensible fluxes to the atmosphere differs substantially among models. Sensitivity of this partitioning to rainfall also varies widely among models, and appears clearly excessive in some models relative to observations (Fig. 4.10). ? Total sensible heating exceeds latent heating in the NAM (Table 4.1), since it covers a much larger area than the rainy core region (Fig. 4.11). ? Inter-model differences in sensible heating can be traced consistently from surface heat flux (Table 5.1), to PBL diurnal evolution (Fig. 5.1), to diurnal thickening of the lower troposphere (Fig. 5.2). ? Seasonal biases in the NAM?s synoptic structure correspond well to diurnal heating biases (Fig. 5.3, Fig. 5.5), suggesting that diurnal cycle studies from a single field season may suffice to inform physical process improvements that could impact seasonal simulation and forecasting. These NAMAP2 results highlight the range of uncertainty and errors in contemporary models, including those defining US national weather forecasting capability. Model experimentation will be necessary to fully interpret the lessons and harvest the fruits of this offline inter-comparison exercise.
14
Sanchez-Mejia, Zulia M. "Monsoon dependent ecosystems| Implications of the vertical distribution of soil moisture on land surface-atmosphere interactions." Thesis, The University of Arizona, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3590060.
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Uncertainty of predicted change in precipitation frequency and intensity motivates the scientific community to better understand, quantify, and model the possible outcome of dryland ecosystems. In pulse dependent ecosystems (i.e. monsoon driven) soil moisture is tightly linked to atmospheric processes. Here, I analyze three overarching questions; Q1) How does soil moisture presence or absence in a shallow or deep layer influence the surface energy budget and planetary boundary layer characteristics?, Q2) What is the role of vegetation on ecosystem albedo in the presence or absence of deep soil moisture?, Q3) Can we develop empirical relationships between soil moisture and the planetary boundary layer height to help evaluate the role of future precipitation changes in land surface atmosphere interactions? . To address these questions I use a conceptual framework based on the presence or absence of soil moisture in a shallow or deep layer. I define these layers by using root profiles and establish soil moisture thresholds for each layer using four years of observations from the Santa Rita Creosote Ameriflux site. Soil moisture drydown curves were used to establish the shallow layer threshold in the shallow layer, while NEE (Net Ecosystem Exchange of carbon dioxide) was used to define the deep soil moisture threshold. Four cases were generated using these thresholds: Case 1, dry shallow layer and dry deep layer; Case 2, wet shallow layer and dry deep layer; Case 3, wet shallow layer and wet deep layer, and Case 4 dry shallow and wet deep layer. Using this framework, I related data from the Ameriflux site SRC (Santa Rita Creosote) from 2008 to 2012 and from atmospheric soundings from the nearby Tucson Airport; conducted field campaigns during 2011 and 2012 to measure albedo from individual bare and canopy patches that were then evaluated in a grid to estimate the influence of deep moisture on albedo via vegetation cover change; and evaluated the potential of using a two-layer bucket model and empirical relationships to evaluate the link between deep soil moisture and the planetary boundary layer height under changing precipitation regime. My results indicate that (1) the presence or absence of water in two layers plays a role in surface energy dynamics, (2) soil moisture presence in the deep layer is linked with decreased ecosystem albedo and planetary boundary layer height, (3) deep moisture sustains vegetation greenness and decreases albedo, and (4) empirical relationships are useful in modeling planetary boundary layer height from dryland ecosystems. Based on these results we argue that deep soil moisture plays an important role in land surface-atmosphere interactions.
15
Yang, Zhao, and Zhao Yang. "Land-Atmosphere Interactions Due to Anthropogenic and Natural Changes in the Land Surface: A Numerical Modeling." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/623069.
Full textAbstract:
Alterations to the land surface can be attributed to both human activity and natural variability. Human activities, such as urbanization and irrigation, can change the conditions of the land surface by altering albedo, soil moisture, aerodynamic roughness length, the partitioning of net radiation into sensible and latent heat, and other surface characteristics. On the other hand, natural variability, manifested through changes in atmospheric circulation, can also induce land surface changes. These regional scale land surface changes, induced either by humans or natural variability, can effectively modify atmospheric conditions through land-atmosphere interactions. However, only in recent decades have numerical models begun to include representations of the critical processes driving changes at the land surface, and their associated effects on the overlying atmosphere. In this work we explore three mechanisms by which changes to the land surface–both anthropogenic and naturally induced–impact the overlying atmosphere and affect regional hydroclimate. The first land-atmosphere interaction mechanism explored here is land-use and land-cover change (LULCC) due to urban expansion. Such changes alter the surface albedo, heat capacity, and thermal conductivity of the surface. Consequently, the energy balance in urban regions is different from that of natural surfaces. To evaluate the changes in regional hydroclimate that could arise due to projected urbanization in the Phoenix–Tucson corridor, Arizona, my first study applied the Weather Research and Forecasting (WRF) with an Urban Canopy Model (UCM; which includes a detailed urban radiation scheme) coupled to the Noah land surface model to this region. Land-cover changes were represented using land-cover data for 2005 and projections to 2050, and historical North American Regional Reanalysis (NARR) data were used to specify the lateral boundary conditions. Results suggest that temperature changes are well defined, reflecting the urban heat island (UHI) effect within areas experiencing LULCC, whereas changes in precipitation are less certain (statistically less robust). However, the study indicates the likelihood of reductions in precipitation over the mountainous regions northeast of Phoenix and decreased evening precipitation over the newly urbanized area. The second land-atmosphere interaction mechanism explored here is irrigation which, while being an important anthropogenic factor affecting the local to regional water cycle, is not typically represented in regional climate models. In this (second) study, I incorporated an irrigation scheme into the Noah land surface scheme coupled to the WRF model. Using a newly developed water vapor tracer package (developed by Miguez-Macho et al. 2013), the study tracks the path of water vapor that evapotranspires from the irrigated regions. To assess the impact of irrigation over the California Central Valley (CCV) on the regional climate of the U.S. Southwest, I ran six simulations (for three dry and three wet years), both with and without the irrigation scheme. Incorporation of the irrigation scheme resulted in simulated surface air temperature and humidity that were closer to observations, decreased the depth of the planetary boundary layer over the CCV, and increased the convective available potential energy. The results indicated an overall increase in precipitation over the Sierra Nevada Range and the Colorado River Basin during the summer, with water vapor rising from the irrigated region moving mainly northeastward and contributing to precipitation in Nevada and Idaho. The results also indicate an increase in precipitation on the windward side of the Sierra Nevada Range and over the Colorado River Basin. The former is possibly linked to a sea-breeze type circulation near the CCV, while the latter is likely associated with a wave pattern related to latent heat release over the moisture transport belt. In the third study, I investigated the role of large-scale and local-scale processes associated with heat waves using the Modern Era-Retrospective Analysis for Research and Applications (MERRA) reanalysis, and evaluate the performance of the regional climate model ensemble used in the North America Regional Climate Change Program (NARCCAP) in reproducing these processes. The Continental US is divided into different climate divisions (following the convention of the National Climate Assessment) to investigate different mechanisms associated with heat waves. At the large scale, warm air advection from terrestrial sources is a driving factor for heat waves in the Northeast and Midwest. Over the western United States, reduced maritime cool air advection results in local warming. At the local scale, an antecedent precipitation deficit leads to the continuous drying of soil moisture, more energy being partitioned into sensible heat flux and acting to warm surface air temperatures, especially over the Great Plains. My analysis indicates that the NARCCAP simulated large-scale meteorological patterns and temporal evolution of antecedent local-scale terrestrial conditions are very similar to those of MERRA. However, NARCCAP overestimates the magnitude and underestimates the frequency of Northeastern and Midwestern US heat waves, partially due to anomalous heat advection through large-scale forcing. Overall, the aforementioned studies show that utilization of new parameterizations in land surface models, such as the urban canopy scheme and the irrigation scheme, allow us to understand the detailed physical mechanisms by which anthropogenic changes in the land surface can affect regional hydroclimate, and may thus help with informed decision making and climate adaptation/mitigation. In addition to anthropogenic changes of the land surface, humans are of course affecting the overlying atmosphere. Currently, NARCCAP is the best available tool we have to help us understand the effects of changes greenhouse gas induced climate change at the regional scale. The regional climate models participating in NARCCAP are able to realistically represent the dominant processes associated with heat waves, including the atmospheric circulation changes and the land-atmosphere interactions that drive heat waves. This lends credibility, when analyzing the projections of these models with increased GHG emissions, to the assessment of changes in heat waves under a future climate.
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Sanchez-Mejia, Zulia Mayari. "Monsoon Dependent Ecosystems: Implications of the Vertical Distribution of Soil Moisture on Land Surface-Atmosphere Interactions." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/299116.
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Uncertainty of predicted change in precipitation frequency and intensity motivates the scientific community to better understand, quantify, and model the possible outcome of dryland ecosystems. In pulse dependent ecosystems (i.e. monsoon driven) soil moisture is tightly linked to atmospheric processes. Here, I analyze three overarching questions; Q1) How does soil moisture presence or absence in a shallow or deep layer influence the surface energy budget and planetary boundary layer characteristics?, Q2) What is the role of vegetation on ecosystem albedo in the presence or absence of deep soil moisture?, Q3) Can we develop empirical relationships between soil moisture and the planetary boundary layer height to help evaluate the role of future precipitation changes in land surface atmosphere interactions?. To address these questions I use a conceptual framework based on the presence or absence of soil moisture in a shallow or deep layer. I define these layers by using root profiles and establish soil moisture thresholds for each layer using four years of observations from the Santa Rita Creosote Ameriflux site. Soil moisture drydown curves were used to establish the shallow layer threshold in the shallow layer, while NEE (Net Ecosystem Exchange of carbon dioxide) was used to define the deep soil moisture threshold. Four cases were generated using these thresholds: Case 1, dry shallow layer and dry deep layer; Case 2, wet shallow layer and dry deep layer; Case 3, wet shallow layer and wet deep layer, and Case 4 dry shallow and wet deep layer. Using this framework, I related data from the Ameriflux site SRC (Santa Rita Creosote) from 2008 to 2012 and from atmospheric soundings from the nearby Tucson Airport; conducted field campaigns during 2011 and 2012 to measure albedo from individual bare and canopy patches that were then evaluated in a grid to estimate the influence of deep moisture on albedo via vegetation cover change; and evaluated the potential of using a two-layer bucket model and empirical relationships to evaluate the link between deep soil moisture and the planetary boundary layer height under changing precipitation regime. My results indicate that (1) the presence or absence of water in two layers plays a role in surface energy dynamics, (2) soil moisture presence in the deep layer is linked with decreased ecosystem albedo and planetary boundary layer height, (3) deep moisture sustains vegetation greenness and decreases albedo, and (4) empirical relationships are useful in modeling planetary boundary layer height from dryland ecosystems. Based on these results we argue that deep soil moisture plays an important role in land surface-atmosphere interactions.
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Hoffmann, Alex. "Simulating organization of convective cloud fields and interactions with the surface." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/245211.
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The mesoscale organization and structure of convective clouds is thought to be rooted in the thermodynamic properties of the atmosphere and in the turbulent to mesoscale dynamics of the flow. Such structure may contribute to the transition between shallow and deep convection. The thermodynamic state of the boundary layer is forced by the amount of surface fluxes from below. Conversely, landscape patterns and land-cover heterogeneity may equally give rise to focused regions for deep convection triggering, in particular when patch sizes exceed 10 km. Since the convective boundary layer has a mediating function between the surface and deep storm clouds, the connection between surface and upper atmosphere is not straightforward. It is generally believed to involve local erosion of the capping inversion layer, the build-up of a moist energy supply, gradual humidification of the lower-free troposphere that reduces dry air entrainment into burgeoning deeper clouds, and thermal mesoscale circulations that can generate moisture convergence and locally forced ascent. To what extent microscale realistic surface heterogeneity and an interactive surface response matter to shallow and deep convection and its organization remains an open question. In this dissertation, we describe the coupling of a physiology-based vegetation model (HYBRID) and of a sea surface flux algorithm (COARE) to the cloud-resolving Active Tracer High-resolution Atmospheric Model (ATHAM). We investigate the full diurnal cycle of convection based on the example of the Hector storm over Tiwi Islands, notably the well-characterized event on 30th November 2005. The model performs well in terms of timing and cloud dynamics in comparison to a range of available observations. Also, ATHAM-HYBRID seems to do well in terms of flux partitioning. Whilst awaiting more thorough flux validation, we remain confident that the interactive surface response of both HYBRID and COARE is suited for the purpose of simulating convective-scale processes. We find the storm system evolution in 3D simulations to be robust with respect to differences in surface configuration and initialization. Within our 3D sensitivity runs, we could not identify a strong dependence on either realistic surface heterogeneity in the island landscape or on the interactive surface response. We conclude that in our case study at least, atmospheric (turbulent) dynamics likely dominate over surface heterogeneity effects, provided that the bulk magnitude of the surface energy fluxes, and their partitioning into sensible and latent heat (Bowen ratio), remain unaltered. This is consistent with 2D sensitivity studies, where we find model grid-spacing and momentum diffusion, governing the dynamics, to have an important influence on the overall evolution of deep convection. Fine grid-spacing is necessary, as the median width of updraught cores mostly does not exceed 1000 m. We associate this influence with the dry air entrainment rate in the wake of rising parcels, and with how resolution and diffusion act on coherent structures in the flow. In 2D sensitivity studies with differences in realistic heterogeneities of surface properties, we find little evidence for a clear deterministic influence of these properties on the transition between shallow and deep convection, in spite of largely different storm evolutions across the various runs. In these runs, we tentatively ascribe triggering to stochastic features in the flow, without discarding the relevance of convergence lines produced by mesoscale density currents, such as the sea breeze and cold pool storm outflows.
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Sotiropoulou, Georgia. "The Arctic Atmosphere : Interactions between clouds, boundary-layer turbulence and large-scale circulation." Doctoral thesis, Stockholms universitet, Meteorologiska institutionen (MISU), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134525.
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Arctic climate is changing fast, but weather forecast and climate models have serious deficiencies in representing the Arctic atmosphere, because of the special conditions that occur in this region. The cold ice surface and the advection of warm air aloft from the south result in a semi-continuous presence of a temperature inversion, known as the “Arctic inversion”, which is governed by interacting large-scale and local processes, such as surface fluxes and cloud formation. In this thesis these poorly understood interactions are investigated using observations from field campaigns on the Swedish icebreaker Oden: The Arctic Summer Cloud Ocean Study (ASCOS) in 2008 and the Arctic Clouds in Summer Experiment (ACSE) in 2014. Two numerical models are also used to explore these data: the IFS global weather forecast model from the European Center for Medium-range Weather Forecasts and the MIMICA LES from Stockholm University. Arctic clouds can persist for a long time, days to weeks, and are usually mixed-phase; a difficult to model mixture of super-cooled cloud droplets and ice crystals. Their persistence has been attributed to several mechanisms, such as large-scale advection, surface evaporation and microphysical processes. ASCOS observations indicate that these clouds are most frequently decoupled from the surface; hence, surface evaporation plays a minor role. The determining factor for cloud-surface decoupling is the altitude of the clouds. Turbulent mixing is generated in the cloud layer, forced by cloud-top radiative cooling, but with a high cloud this cannot penetrate down to the surface mixed layer, which is forced primarily by mechanical turbulence. A special category of clouds is also found: optically thin liquid-only clouds with stable stratification, hence insignificant in-cloud mixing, which occur in low-aerosol conditions. IFS model fails to reproduce the cloud-surface decoupling observed during ASCOS. A new prognostic cloud physics scheme in IFS improves simulation of mixed-phase clouds, but does not improve the warm bias in the model, mostly because IFS fails to disperse low surface-warming clouds when observations indicate cloud-free conditions. With increasing summer open-water areas in a warming Arctic, there is a growing interest in processes related to the ice marginal zones and the summer-to-autumn seasonal transition. ACSE included measurements over both open-water and sea-ice surfaces, during melt and early freeze. The seasonal transition was abrupt, not gradual as would have been expected if it was primarily driven by the gradual changes in net solar radiation. After the transition, the ocean surface remained warmer than the atmosphere, enhancing surface cooling and facilitating sea-ice formation. Observations in melt season showed distinct differences in atmospheric structure between the two surface types; during freeze-up these largely disappear. In summer, large-scale advection of warm and moist air over melting sea ice had large impacts on atmospheric stability and the surface. This is explored with an LES; results indicate that while vertical structure of the lowest atmosphere is primarily sensitive to heat advection, cloud formation, which is of great importance to the surface energy budget, is primarily sensitive to moisture advection.At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Manuscript.
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Gao, Xiaogang. "Modeling of rainfall distribution, hydrologic processes and examination of model sensitivity in the context of atmosphere-land surface interactions." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186563.
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In order to improve current climate models, two issues have been recognized to be significant: (1) properly representing the precipitation distribution within a GCM grid square, (2) evaluating and improving the existing land surface hydrologic schemes. This dissertation is devoted to these issues. Precipitation affects the climate system in a variety of ways and occurs over areas that are usually smaller than the GCM grid square. This complicates the modeling of land surface processes. There are, however, stable seasonal statistical patterns underlying the observed data for a GCM grid square. A stochastic scheme was therefore proposed for the assimilation of the statistical patterns (extracted from historical data) into the land surface scheme to enhance the simulation. The required high resolution precipitation data may be obtained from satellite imagery for global application. Systematic sensitivity analyses for the Biosphere-Atmosphere Transfer Scheme (BATS) was described in this dissertation. Two types of experiments were conducted to examine the BATS performance. The first type consisted of varying 'perturbation variables' and exploring corresponding variations in energy/water states and fluxes. The employed method stressed (1) long term and multiple measures of model behavior, (2) the dominant processes under certain conditions and the proper ranges for model parameters estimates. The second type experiments applied BATS to a GCM grid covering the Lower Colorado River Basin and examined the effect of intragrid variability on land surface hydrology. The results from different spatial resolutions are compared. BATS sensitivity to initialization, atmospheric forcings, land surface properties and the computational grid size are discussed.
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Lee, Craig M. "Observations and models of upper ocean response to atmospheric forcing : wind driven flow, surface heating and near-inertial wave interactions with mesoscale currents /." Thesis, Connect to this title online; UW restricted, 1995. http://hdl.handle.net/1773/11039.
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Parsakhoo, Zahra Sadat [Verfasser], Yaping [Gutachter] Shao, and Hendrik [Gutachter] Elbern. "Modelling Multi-Scale Atmosphere And Land-Surface Interactions-A Large-Ensemble Approach- / Zahra Sadat Parsakhoo ; Gutachter: Yaping Shao, Hendrik Elbern." Köln : Universitäts- und Stadtbibliothek Köln, 2019. http://d-nb.info/1202920306/34.
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Gerken, Tobias [Verfasser], and Michael [Akademischer Betreuer] Hauhs. "High-Resolution Modelling of Surface-Atmosphere Interactions and Convection Development at Nam Co Lake, Tibetan Plateau / Tobias Gerken. Betreuer: Michael Hauhs." Bayreuth : Universität Bayreuth, 2014. http://d-nb.info/1059352389/34.
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Martinez, Agudelo John Alejandro. "On the Hydroclimate of Southern South America: Water Vapor Transport and the Role of Shallow Groundwater on Land-Atmosphere Interactions." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/595679.
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The present work focuses on the sources and transport of water vapor to the La Plata Basin (LPB), and the role of groundwater dynamics on the simulation of hydrometeorological conditions over the basin. In the first part of the study an extension to the Dynamic Recycling Model (DRM) is developed to estimate the water vapor transported to the LPB from different regions in South America and the nearby oceans, and the corresponding contribution to precipitation over the LPB. It is found that more than 23% of the precipitation over the LPB is from local origin, while nearly 20% originates from evapotranspiration from the southern Amazon. Most of the moisture comes from terrestrial sources, with the South American continent contributing more than 62% of the moisture for precipitation over the LPB. The Amazonian contribution increases during the positive phase of El Niño and the negative phase of the Antarctic Oscillation. In the second part of the study the effect of a groundwater scheme on the simulation of terrestrial water storage, soil moisture and evapotranspiration (ET) over the LPB is investigated. It is found that the groundwater scheme improves the simulation of fluctuations in the terrestrial water storage over parts of the southern Amazon. There is also an increase in the soil moisture in the root zone over those regions where the water table is closer to the surface, including parts of the western and southern Amazon, and of the central and southern LPB. ET increases in the central and southern LPB, where it is water limited. Over parts of the southeastern Amazon the effects of the groundwater scheme are only observed at higher resolution, when the convergence of lateral groundwater flow in local topographical depressions is resolved by the model. Finally, the effects of the groundwater scheme on near surface conditions and precipitation are explored. It is found that the increase in ET induced by the groundwater scheme over parts of the LPB induces an increase in near surface specific humidity, accompanied by a decrease in near surface temperature. During the dry season, downstream of the regions where ET increases, there is also a slight increase in precipitation, over a region where the model has a dry bias compared with observations. During the early rainy season, there is also an increase in the local convective available potential energy. Over the southern LPB, groundwater induces an increase in ET and precipitation of 13 and 10%, respectively. Over the LPB, the groundwater scheme tends to improve the warm and dry biases of the model. It is suggested that a more realistic simulation of the water table depth could further increase the simulated precipitation during the early rainy season.
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Luo, Yan. "Regional aspects of the North American land surface-atmosphere interactions and their contributions to the variability and predictability of the regional hydrologic cycle." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3408.
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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.Thesis research directed by: Atmospheric and Oceanic Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Kröniger, Konstantin [Verfasser], and M. [Akademischer Betreuer] Mauder. "Surface-atmosphere interactions of heterogeneous surfaces on multiple scales by means of large-eddy simulations and analytical approaches / Konstantin Kröniger ; Betreuer: M. Mauder." Karlsruhe : KIT-Bibliothek, 2018. http://d-nb.info/1176022369/34.
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Ortenzi, Gianluigi [Verfasser]. "Interior-surface-atmosphere interactions of rocky planets: simulation of volcanic outgassing and volatile chemical speciation in the C-O-H system / Gianluigi Ortenzi." Berlin : Freie Universität Berlin, 2021. http://d-nb.info/1240230524/34.
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Sanchez-Mejia, Zulia Mayari, and Shirley A. Papuga. "Empirical Modeling of Planetary Boundary Layer Dynamics Under Multiple Precipitation Scenarios Using a Two-Layer Soil Moisture Approach: An Example From a Semiarid Shrubland." AMER GEOPHYSICAL UNION, 2017. http://hdl.handle.net/10150/626481.
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In semiarid regions, where water resources are limited and precipitation dynamics are changing, understanding land surface-atmosphere interactions that regulate the coupled soil moisture-precipitation system is key for resource management and planning. We present a modeling approach to study soil moisture and albedo controls on planetary boundary layer height (PBLh). We used Santa Rita Creosote Ameriflux and Tucson Airport atmospheric sounding data to generate empirical relationships between soil moisture, albedo, and PBLh. Empirical relationships showed that similar to 50% of the variation in PBLh can be explained by soil moisture and albedo with additional knowledge gained by dividing the soil profile into two layers. Therefore, we coupled these empirical relationships with soil moisture estimated using a two-layer bucket approach to model PBLh under six precipitation scenarios. Overall we observed that decreases in precipitation tend to limit the recovery of the PBL at the end of the wet season. However, increases in winter precipitation despite decreases in summer precipitation may provide opportunities for positive feedbacks that may further generate more winter precipitation. Our results highlight that the response of soil moisture, albedo, and the PBLh will depend not only on changes in annual precipitation, but also on the frequency and intensity of this change. We argue that because albedo and soil moisture data are readily available at multiple temporal and spatial scales, developing empirical relationships that can be used in land surface-atmosphere applications have great potential for exploring the consequences of climate change.
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Josset, Damien. "Etude du couplage radar-lidar sur plates-formes spatiales et aeroportees. Application a l'etude des nuages, des aerosols et de leurs interactions." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2009. http://tel.archives-ouvertes.fr/tel-00559472.
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L'effet des aerosols et des nuages sur le climat, qu'il s'agisse de leur forcage radiatif propre ou de leur interactions constitue actuellement la plus grande incertitude du systeme climatique. L'utilisation couplee de nouveaux moyens d'observations comme le lidar ou le radar avec la radiometrie fait partie des pistes de recherches retenues par la communaute scientique pour reduire ces incertitudes justifiant le developpement et la mise en oeuvre de ces nouveaux instruments sur les plates-formes de l'A-Train et le developpement des algorithmes operationnels associes. Ces algorithmes possedent certaines limitations intrinseques, ce qui nous a amene a la revision des methodes d'analyse standard des donnees issues des plates-formes spatiales de l'A-Train (CALIPSO, CLOUDSAT), au developpement de nos propres algorithmes a travers l'etude de l'echo de surface oceanique, et a l'identication d'un modele theorique de diffusion par la surface compatible avec les observations multispectrales de ces instruments actifs. L'utilisation de ce modele avec les observations actives et celles du radiometre micro-onde AMSR-E a permis d'ameliorer les procedures d'etalonnage absolu du lidar et du radar en offrant une reference systematique possedant un important rapport signal sur bruit. L'amelioration de l'etalonnage de ces instruments permet ensuite d'affiner la precision de la restitution des parametres microphysiques dans les produits operationnels de recherche, et doit donner acces a un plus grand nombre de produits derives. La reference de surface issue des mesures des instruments micro-ondes actifs (radar) et passifs (radiometre) permet ainsi de determiner l'epaisseur optique des aerosols aux longueurs d'onde du lidar. Cette methode de restitution ne fait aucune hypothese sur la microphysique des particules diffusantes, est utilisable de jour et de nuit, possede un rapport signal sur bruit important a grande resolution spatiale et offre la possibilite de discriminer les aerosols et les nuages grace aux mesures multispectrales sur la verticale. Les comparaisons avec les mesures du radiometre MODIS montrent un bon accord statistique. Ces mesures d'epaisseur optique au-dessus de l'ocean et des nuages d'eau liquide ouvrent une nouvelle voie pour quantier le forcage radiatif direct des aerosols en presence de nuage, hors de portee des mesures radiometriques actuelles. Les premieres etudes que nous avons effectuees ont confirme que lors des episodes de feux observes pendant la campagne AMMA, le forcage est fortement positif sur le Golfe de Guinee (entre +5 et +10 W/m2 en moyenne diurne). Le forcage negatif en air non-nuageux au-dessus de l'ocean est inferieur d'un ordre de grandeur au forcage positif du aux aerosols transportes au-dessus des nuages. Le forcage radiatif positif observe sur le Golfe de Guinee est ainsi fortement dependant de la couverture nuageuse et les mesures a petite echelle de l'A-Train permettent de mieux le caracteriser a plus grande echelle. Ainsi, le rechauffement induit par l'effet direct des aerosols sera mieux pris en compte dans les modeles climatiques. L'emission d'aerosols absorbants (feux, pollution...) et leur transport a moyenne et grande echelle en altitude representent un point critique de l'evolution du systeme climatique et des interactions environnement-climat. L'hypothese usuellement admise d'un forcage direct negatif de -0, 5 W/m2 pour caracteriser l'effet radiatif des aerosols demande a etre examinee avec attention en etablissant une meilleure quantication de la contribution des aerosols absorbants (d'origine naturelle ou anthropique) au-dessus des nuages a l'echelle globale.
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QUENTIN, Céline Gwenaëlle. "Etude de la surface océanique, de sa signature radar et de ses interactions avec les flux turbulents de quantité de mouvement dans le cadre de l'experience FETCH." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2002. http://tel.archives-ouvertes.fr/tel-00010934.
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L'objectif principal est l'étude de l'état de la mer et de ses relations avec les flux turbulents d'énergie et avec le signal radar rétrodiffusé. L'étude est basée sur les données de l'expérience FETCH (« Flux, Etat de la mer et Télédétection en Conditions de fetcH limité ») qui s'est déroulée dans le golfe du Lion, Méditerranée Occidentale, en Mars-Avril 1998. L'état de la mer a été étudié à partir de mesures in situ (bouées), et par télédétection aéroportée (radar RESSAC) et spatiale (altimètres TOPEX et ERS). Plusieurs états de mer (mer en développement, mer mixte et houle) associées à des situations météorologiques variées (Mistral, Tramontane, ou Marin) ont été analysés. La séparation du spectre des vagues en composantes de mer du vent (vagues générées par le vent local) ou houle a permis de classifier les états de mer. La loi de croissance des vagues a été établie pour les cas de pure mer observés localement par la bouée. . Cette loi diffèresensiblement de celles citées dans la littérature. Ce jeu de données a servi de base à une étude comparative entre modèles de prévision et observations, qui a montré la nécessité, pour cette région côtière, d'utiliser un champ de vent et un modèle d'état de mer de fine résolution spatiale. Une analyse de l'influence de l'état de la mer sur les flux de quantité de mouvement a été menée à partir des données de turbulence acquises sur une bouée (ASIS) et du navire de recherche (Atalante). En condition de mer du vent, l'influence de l'âge des vagues sur les flux de quantité de mouvement a été montrée. Mais aucune relation entre la pente significative des vagues et les paramètres des flux turbulents n'a été mise en évidence sur les données de l'expérience FETCH. L'analyse du signal radar à faible incidence (autour de 12°) a montré une dépendance très faible de la moyenne quadratique des pentes de la surface aux paramètres tels que la force du vent, l'âge ou la pente significative des vagues.
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Guemas, Virginie. "Rôle de la surface marine sur la variabilité intrasaisonnière estivale de l'atmosphère dans la région Nord Atlantique Europe." Phd thesis, Université Paul Sabatier - Toulouse III, 2009. http://tel.archives-ouvertes.fr/tel-00451936.
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Ce travail de thèse vise à déterminer si le couplage de l'atmosphère avec la surface marine joue un rôle dans la variabilité intrasaisonnière estivale de la circulation atmosphérique de grande échelle et si la surface marine peut être une source de prévisibilité potentielle pour l'atmosphère à ces échelles de temps. Un second objectif consiste en l'analyse de l'impact de la représentation des processus physiques dans l'océan superficiel, et en particulier l'impact des variations diurnes océaniques, sur la représentation des températures de surface océanique et sur la circulation atmosphérique de grande échelle à des échelles de temps supérieures. Pour mener à bien ces travaux, le modèle océanique 1D CNRMOM1D a été développé : le choix des paramétrisations utilisées dans ce modèle vise à optimiser la représentation des processus physiques dominant l'évolution des températures de surface océanique aux échelles de temps diurnes à intrasaisonnières. Les résultats, obtenus à partir de simulations numériques effectuées avec le modèle d'atmosphère ARPEGE-climat forcé ou couplé avec le modèle CNRMOM1D, suggèrent que les anomalies de températures de surface océanique induites par la circulation atmosphérique de grande échelle exercent sur celle-ci une rétroaction négative aux échelles de temps intrasaisonnières : le couplage avec la surface océanique dans la région Nord-Atlantique Europe (NAE) diminue le nombre de jours de persistance des régimes de temps estivaux de Dépression Atlantique, de Blocage et de NAO- d'environ 1 jour ce qui représente 15% de leur persistance moyenne, cette diminution étant variable selon le régime de temps. A partir de simulations forcées du modèle CNRMOM1D, on montre que la correction en SST liée à la prise en compte des variations diurnes océaniques peut atteindre environ 0.3°C à 0.5°C en moyenne journalière. Cette anomalie peut persister 15 à 40 jours dans les moyennes latitudes, plus de 60 dans les Tropiques. De plus, à partir de simulations couplées avec le modèle ARPEGE-climat, on montre que la variabilité diurne océanique peut affecter l'état moyen estival par une diminution du gradient méridien de SST, une diminution de l'extension de la glace de mer, une anomalie de circulation atmosphérique de grande échelle qui se projette sur une phase positive de la NAO ainsi que des modifications de la couverture nuageuse et des profils d'humidité atmosphérique. Ce travail montre les améliorations potentielles, en termes d'états moyens océanique et atmosphérique et en termes de variabilité intrasaisonnière, que peuvent apporter un couplage à fréquence horaire et l'utilisation d'un modèle de circulation générale océanique à haute résolution verticale dans les simulations couplées océan-atmosphère.
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Ardilouze, Constantin. "Impact de l'humidité du sol sur la prévisibilité du climat estival aux moyennes latitudes." Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0048/document.
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Les épisodes de sécheresse et de canicule qui frappent épisodiquement les régions tempérées ont des conséquences préjudiciables sur les plans sanitaire, économique, social et écologique. Afin de pouvoir enclencher des stratégies de préparation et de prévention avec quelques semaines ou mois d'anticipation, les attentes sociétales en matière de prévision sont élevées, et ce d'autant plus que les projections climatiques font craindre la multiplication de ces épisodes au cours du 21ème siècle. Néanmoins, la saison d'été est la plus difficile à prévoir aux moyennes latitudes. Les sources connues de prévisibilité sont plus ténues qu'en hiver et les systèmes de prévision climatique actuels peinent à représenter correctement les mécanismes de téléconnexion associés. Un nombre croissant d'études a mis en évidence un lien statistique dans certaines régions entre l'humidité du sol au printemps et les températures et précipitations de l'été qui suit. Ce lien a été partiellement confirmé dans des modèles numériques de climat mais de nombreuses interrogations subsistent. L'objectif de cette thèse est donc de mieux comprendre le rôle joué par l'humidité du sol sur les caractéristiques et la prévisibilité du climat de l'été dans les régions tempérées. Grâce notamment au modèle couplé de circulation générale CNRM-CM, nous avons mis en œuvre des ensembles de simulations numériques qui nous ont permis d'évaluer le degré de persistance des anomalies d'humidité du sol printanière. En effet, une longue persistance est une condition nécessaire pour que ces anomalies influencent le climat à l'échelle de la saison, via le processus d'évapotranspiration de la surface. En imposant dans notre modèle des conditions initiales et aux limitées idéalisées d'humidité du sol, nous avons mis en évidence des régions du globe pour lesquelles l'état moyen et la variabilité des températures et des précipitations en été sont particulièrement sensibles à ces conditions. C'est notamment le cas sur une grande partie de l'Europe et de l'Amérique du nord, y compris à des latitudes élevées. Pour toutes ces régions, l'humidité du sol est une source prometteuse de prévisibilité potentielle du climat à l'horizon saisonnier, bien que de fortes incertitudes demeurent localement sur le degré de persistance de ses anomalies. Une expérience de prévisibilité effective coordonnée avec plusieurs systèmes de prévision montre qu'une initialisation réaliste de l'humidité du sol améliore la prévision de températures estivales principalement dans le sud-est de l'Europe. Dans d'autres régions, comme l'Europe du Nord, le désaccord des modèles provient de l'incertitude sur la persistance des anomalies d'humidité du sol. En revanche, sur les Grandes Plaines américaines, aucun modèle n'améliore ses prévisions qui restent donc très médiocres. La littérature ainsi que nos évaluations de sensibilité du climat à l'humidité du sol ont pourtant identifié cette région comme un "hotspot" du couplage entre l'humidité du sol et l'atmosphère. Nous supposons que l'échec de ces prévisions est une conséquence des forts biais chauds et secs présents dans tous les modèles sur cette région en été, qui conduisent à un dessèchement excessif des sols. Pour le vérifier, nous avons développé une méthode qui corrige ces biais au cours de l'intégration des prévisions avec CNRM-CM6. Les prévisions qui en résultent sont nettement améliorées sur les Grandes Plaines. La compréhension de l'origine des biais continentaux en été et leur réduction dans les prochaines générations de modèles de climat sont des étapes essentielles pour tirer le meilleur parti de l'humidité du sol comme source de prévisibilité saisonnière dans les régions tempéréesSevere heat waves and droughts that episodically hit temperate regions have detrimental consequences on health, economy and society. The design and deployment of efficient preparedness strategies foster high expectations for the prediction of such events a few weeks or months ahead. Their likely increased frequency throughout the 21st century, as envisaged by climate projections, further emphasizes these expectations. Nevertheless, the summer season is the most difficult to predict over mid-latitudes. Well-known sources of predictability are weaker than in winter and current climate prediction systems struggle to adequately represent associated teleconnection mechanisms. An increasing number of studies have shown a statistical link over some regions between spring soil moisture and subsequent summer temperature and precipitation. This link has been partly confirmed in climate numerical models, but many questions remain. The purpose of this PhD thesis is to better understand the role played by soil moisture onthe characteristics and predictability of the summer climate in temperate regions. By means of the CNRM-CM coupled general circulation model, we have designed a range of numerical simulations which help us evaluate the persistence level of spring soil moisture anomalies. Indeed, a long persistence is a necessary condition for these anomalies to influence the climate at the seasonal scale, through the process of evapotranspiration. By imposing in our model idealized initial and boundary soil moisture conditions, we have highlighted areas of the globe for which the average state and the variability of temperatures and precipitation in summer is particularly sensitive to these conditions. This is the case in particular for Europe and North America, including over high latitudes. Soil moisture is therefore a promising source of potential seasonal climate predictability for these regions, although the persistence of soil moisture anomalies remains locally very uncertain. An effective predictability coordinated experiment, bringing together several prediction systems, shows that a realistic soil moisture initialization improves the forecast skill of summer temperatures mainly over southeast Europe. In other regions, such as Northern Europe, the disagreement between models comes from uncertainty about the persistence of soil moisture anomalies. On the other hand, over the American Great Plains, even the forecasts with improved soil moisture initialization remain unsuccessful. Yet, the literature as well as our assessment of climate sensitivity to soil moisture have identified this region as a "hotspot" of soil moisture - atmosphere coupling. We assume that the failure of these predictions relates to the strong hot and dry bias present in all models over this region in summer, which leads to excessive soil drying. To verify this assumption, we developed a method that corrects these biases during the forecast integration based on the CNRM-CM6 model. The resulting forecasts are significantly improved over the Great Plains. Understanding the origin of continental biases in the summer and reducing them in future generations of climate models are essential steps to making the most of soil moisture as a source of seasonal predictability in temperate regions
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Rascle, Nicolas. "Impact des vagues sur la circulation océanique." Phd thesis, Université de Bretagne occidentale - Brest, 2007. http://tel.archives-ouvertes.fr/tel-00182250.
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L'objectif de cette thèse est d'analyser l'impact des vagues sur la circulation océanique. La partie vagues est séparée du courant moyen et les deux sont décrites différemment. Divers aspects sont abordés. Dans la première partie, la dérive en surface est analysée à l'aide un modèle à 1 dimension, avec l'utilisation d'une paramétrisation du mélange lié au déferlement des vagues. Il apparaît que la dérive de Stokes des vagues domine la dérive d'Ekman en surface. Cette description apparaît cohérente avec les ordres de grandeurs des observations de dissipation d'énergie cinétique turbulente, de courants eulériens et de dérives lagrangiennes. Cependant, plusieurs aspects de cette description, l'effet Stokes-Coriolis par exemple, n'ont pas encore été validés par des observations. Une deuxième partie aborde l'impact des vagues sur le mélange et en particulier sur la profondeur de la couche de mélange. La profondeur de la couche de mélange diurne apparaît très sensible à l'état de mer. Une réanalyse de vagues est utilisée pour évaluer l'ordre de grandeur des paramètres importants pour ce mélange, ainsi que la distribution de ces paramètres à l'échelle globale. Enfin, la séparation des vagues et du courant est étudiée en zone côtière, aux abords de la zone de déferlement, et est comparée aux autres descriptions de la dynamique de la zone littorale et de ses abords immédiats. En particulier, l'impact de la non-linéarité des vagues sur les transports lagrangiens est évaluée.
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Gibelin, Anne-Laure. "Cycle du carbone dans un modèle de surface continentale : modélisation, validation et mise en oeuvre à l'échelle globale." Phd thesis, Université Paul Sabatier - Toulouse III, 2007. http://tel.archives-ouvertes.fr/tel-00164054.
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ISBA-A-gs est une option du modèle de surface continentale du CNRM, ISBA, qui simule les échanges de carbone entre la biosphère terrestre et l'atmosphère. Au cours de cette thèse, le modèle est utilisé pour la première fois à l'échelle globale en mode forcé. Plusieurs simulations globales sont réalisées pour évaluer la sensibilité des flux turbulents et du LAI à un doublement de CO2 et au changement climatique prévu pour la fin du XXIe siècle.Une nouvelle option du modèle, nommée ISBA-CC, est aussi développée afin de simuler de manière plus réaliste la respiration de l'écosystème, en distinguant la respiration autotrophe et la respiration hétérotrophe.
La validation de la dynamique de la végétation et des flux de carbone échangés, à la fois à l'échelle globale à l'aide de données satellitaires, et à l'échelle locale sur 26 sites de mesure du réseau FLUXNET, montre que le modèle de surface est suffisamment réaliste pour être couplé à un modèle de circulation générale, afin de simuler les interactions entre la surface continentale, l'atmosphère et le cycle du carbone.
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MELO, Ewerton Cleudson de Sousa. "Simulação numérica das interações biosfera-atmosfera em área de caatinga: uma análise da expansão agrícola em ambiente semiárido." Universidade Federal de Campina Grande, 2011. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1437.
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Neste trabalho a versão 6.0 do modelo numérico RAMS (Regional Atmospheric Modeling System) é usada com o objetivo principal de simular a influência da expansão agrícola nas trocas de água e energia em áreas de Caatinga, e quantificar os efeitos das mudanças na cobertura e uso da terra na geração de circulações termicamente induzidas e na atividade convectiva. Os cenários de uso da terra investigados neste estudo foram construídos para representar condições ambientais nativas (sem influências antrópicas), e com alterações decorrentes da construção da represa de Sobradinho, e da expansão de atividades agrícolas e irrigação em região de clima semiárido. O ambiente atmosférico de grande escala é caracterizado pela estrutura dinâmica e termodinâmica típica da área central de um vórtice ciclônico de altos níveis (VCAN). A escolha do período de estudo teve como objetivo garantir condições ambientais com ampla diversidade agrícola em áreas de Caatinga (culturas de sequeiro e agricultura irrigada), e pouca nebulosidade. A evolução temporal da precipitação convectiva acumulada nas simulações da expansão agrícola mostra diferenças marcantes nos efeitos da agricultura de sequeiro e vegetação irrigada. O aumento na taxa da evapotranspiração nas áreas irrigadas eleva consideravelmente o teor de umidade nos baixos níveis da troposfera, reduz a temperatura do ar e diminui a precipitação convectiva. A descontinuidade na umidade e tipo de cobertura vegetal modifica a intensidade e distribuição dos fluxos turbulentos que são importantes na formação dos gradientes de pressão que geram circulações de brisa (brisa lacustre e de vegetação), de forma que o domínio nos transportes verticais de calor e água passa a ser da mesoescala. Verificou-se que as principais forçantes locais na determinação da distribuição espacial dos fluxos turbulentos e da chuva convectiva foram a topografia e a descontinuidade no teor de umidade do solo. Com relação a estabilidade atmosférica percebeu-se a existência de uma relação quase linear entre a Energia Potencial Convectiva Disponível (CAPE) e a temperatura potencial equivalente.
In this work the version 6.0 of the numerical model RAMS (Regional Atmospheric Modeling System) is used with the main objective of simulating the influence of agricultural expansion on the water and energy exchange in Caatinga vegetation areas, and to quantify the effects that changes on soil use and coverage have on the generation of thermally induced circulations and convective activity. The scenarios of soil use investigated are designed to represent native environmental conditions (without anthropogenic influences) and with alterations due to the implementation of the Sobradinho reservoir, and the expansion of agricultural activities and irrigation in a semiarid climate area. The large scale atmospheric ambient is characterized by the dynamic and thermodynamic structure typical of the central area of an upper level cyclonic vortex. The period of study was chosen aiming at environmental conditions with largely diversified agricultural use in Caatinga vegetation areas (agriculture with and without irrigation), and almost cloudless skies. The temporal evolution of the accumulated convective precipitation in the numerical simulations of the agricultural expansion shows large differences in the effects of agriculture with and without irrigation. The irrigated areas higher evapotranspiration rate causes a substantial increase in the moisture content in the lower troposphere, and lower the air temperature and convective precipitation.
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Sudre, J. "Circulation submésoéchelle et comportements des prédateurs marins supérieurs : Apport de l'analyse multi-échelles et multi-capteurs." Phd thesis, Université Paul Sabatier - Toulouse III, 2013. http://tel.archives-ouvertes.fr/tel-00929804.
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L'océan est le siège de mouvements complexes à toutes échelles spatiales et temporelles. Au sein d'une circulation moyenne et globale existe une circulation secondaire peuplée de fronts, de méandres, de jets étroits, de tourbillons, que l'on nomme circulation à mésoéchelle. L'observation spatiale permet une description et une évaluation synoptique de cette dynamique à mésoéchelle au moyen de l'altimétrie et la diffusiométrie. Cette évaluation a été le premier objectif de cette thèse et a permis de développer un produit distribué à la communauté scientifique internationale : le produit GEKCO. Cependant la description des processus submésoéchelle à plus fine résolution nécessite l'utilisation de données à super-résolution (couleur de l'eau, température de surface) qui ont la possibilité de représenter toute la complexité d'un océan en régime de turbulence pleinement développée. Une méthode à la croisée de l'océanographie physique et de la "science de la complexité" utilisant la formulation microcanonique de la cascade multiplicative, le produit GEKCO et des images de température de la mer, a fait l'objet de la seconde partie de ce manuscrit. La dynamique océanique étant la clef de voûte de tout le monde marin du vivant, la dernière partie de cette thèse s'est intéressée à l'impact de la circulation à mésoéchelle et à submésoéchelle sur la chaîne trophique marine en se focalisant sur ses deux extrémités. L'étude de la circulation à submésoéchelle a permis de montrer qu'elle joue un rôle prépondérant pour la biomasse marine ; un rôle d'activateur en océan ouvert et un rôle d'inhibiteur dans les systèmes d'upwelling de bord Est. Différentes études sur les trajets de prédateurs marins supérieurs ont démontré la nécessité de prendre en compte la dynamique océanique pour interpréter leur comportement de navigation.
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Evans, Jason Peter. "Modelling Climate - Surface Hydrology Interactions in Data Sparse Areas." Phd thesis, 2000. http://hdl.handle.net/1885/46847.
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This thesis develops tools aimed at the study and prediction of climate effects on land-surface hydrology (in particular streamflow), which require a minimum amount of site specific data. This minimum data requirement allows studies to be performed in areas that are data sparse, such as the developing world. ¶ ...
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Aubin, Daniel Gabriel. "Laboratory studies of the gas-surface interactions of hydrocarbon soot in the atmosphere." 2007. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=742513&T=F.
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Winterrath, Tanja [Verfasser]. "Numerical investigations on atmosphere-biosphere interactions : impact of radiation fog and leaf surface water / Tanja Winterrath." 2002. http://d-nb.info/965754103/34.
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"Improvement in Convective Precipitation and Land Surface Prediction over Complex Terrain." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.40318.
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abstract: Land surface fluxes of energy and mass developed over heterogeneous mountain landscapes are fundamental to atmospheric processes. However, due to their high complexity and the lack of spatial observations, land surface processes and land-atmosphere interactions are not fully understood in mountain regions. This thesis investigates land surface processes and their impact on convective precipitation by conducting numerical modeling experiments at multiple scales over the North American Monsoon (NAM) region. Specifically, the following scientific questions are addressed: (1) how do land surface conditions evolve during the monsoon season, and what are their main controls?, (2) how do the diurnal cycles of surface energy fluxes vary during the monsoon season for the major ecosystems?, and (3) what are the impacts of surface soil moisture and vegetation condition on convective precipitation?
Hydrologic simulation using the TIN-based Real-time Integrated Basin Simulator (tRIBS) is firstly carried out to examine the seasonal evolution of land surface conditions. Results reveal that the spatial heterogeneity of land surface temperature and soil moisture increases dramatically with the onset of monsoon, which is related to seasonal changes in topographic and vegetation controls. Similar results are found at regional basin scale using the uncoupled WRF-Hydro model. Meanwhile, the diurnal cycles of surface energy fluxes show large variation between the major ecosystems. Differences in both the peak magnitude and peak timing of plant transpiration induce mesoscale heterogeneity in land surface conditions. Lastly, this dissertation examines the upscale effect of land surface heterogeneity on atmospheric condition through fully-coupled WRF-Hydro simulations. A series of process-based experiments were conducted to identify the pathways of soil moisture-rainfall feedback mechanism over the NAM region. While modeling experiments confirm the existence of positive soil moisture/vegetation-rainfall feedback, their exact pathways are slightly different. Interactions between soil moisture, vegetation cover, and rainfall through a series of land surface and atmospheric boundary layer processes highlight the strong land-atmosphere coupling in the NAM region, and have important implications on convective rainfall prediction. Overall, this dissertation advances the study of complex land surface processes over the NAM region, and made important contributions in linking complex hydrologic, ecologic and atmospheric processes through numerical modeling.Dissertation/Thesis
Doctoral Dissertation Civil and Environmental Engineering 2016