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您的检索式：作者名="Flint Alan L"
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| 1 | Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis显示文摘Introduction:Evaluating the environmental impacts of climate change on water resources and biological components of the landscape is an integral part of hydrologic and ecological investigations,and the resultant land and resource management in the twenty-first century.Impacts of both climate and simulated hydrologic parameters on ecological processes are relevant at scales that reflect the heterogeneity and complexity of landscapes.At present,simulations of climate change available from global climate models[GCMs]require downscaling for hydrologic or ecological applications.Methods:Using statistically downscaled future climate projections developed using constructed analogues,a methodology was developed to further downscale the projections spatially using a gradient-inverse-distancesquared approach for application to hydrologic modeling at 270-m spatial resolution.Results:This paper illustrates a methodology to downscale and bias-correct national GCMs to subkilometer scales that are applicable to fine-scale environmental processes.Four scenarios were chosen to bracket the range of future emissions put forth by the Intergovernmental Panel on Climate Change.Fine-scale applications of downscaled datasets of ecological and hydrologic correlations to variation in climate are illustrated.Conclusions:The methodology,which includes a sequence of rigorous analyses and calculations,is intended to reduce the addition of uncertainty to the climate data as a result of the downscaling while providing the fine-scale climate information necessary for ecological analyses.It results in new but consistent data sets for the US at 4 km,the southwest US at 270 m,and California at 90 m and illustrates the utility of fine-scale downscaling to analyses of ecological processes influenced by topographic complexity. | Lorraine E Flint Alan L Flint | 2012 | Ecological Processes2012，1，1： | 2 |
| 2 | Global synthesis of groundwater recharge in semiarid and arid regions显示文摘 | Scanlon B R Keese K E Flint Alan L | 2006 | Hydrol Proceas2006，20，15： | 1 |
| 3 | Fine-scale hydrologic modeling for regional landscape applications:the California Basin Characterization Model development and performance显示文摘Introduction:Resource managers need spatially explicit models of hydrologic response to changes in key climatic drivers across variable landscape conditions.We demonstrate the utility of a Basin Characterization Model for California(CA-BCM)to integrate high-resolution data on physical watershed characteristics with historical or projected climate data to predict watershed-specific hydrologic responses.Methods:The CA-BCM applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid.The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region.Results:As a result of calibration,predicted basin discharge closely matches measured data for validation watersheds.The CA-BCM recharge and runoff estimates,combined with estimates of snowpack and timing of snowmelt,provide a basis for assessing variations in water availability.Another important output variable,climatic water deficit,integrates the combined effects of temperature and rainfall on site-specific soil moisture,a factor that plants may respond to more directly than air temperature and precipitation alone.Model outputs are calculated for each grid cell,allowing results to be summarized for a variety of planning units including hillslopes,watersheds,ecoregions,or political boundaries.Conclusions:The ability to confidently calculate hydrologic outputs at fine spatial scales provides a new suite of hydrologic predictor variables that can be used for a variety of purposes,such as projections of changes in water availability,environmental demand,or distribution of plants and habitats.Here we present the framework of the CA-BCM model for the California hydrologic region,a test of model performance on 159 watersheds,summary results for the region for the 1981–2010 time period,and changes since the 1951–1980 time period. | Lorraine E Flint Alan L Flint James H Thorne Ryan Boynton | 2013 | Ecological Processes2013，2，1： | 0 |
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