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您的检索式：作者名="Ryan Boynton"
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| 1 | 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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