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    Joint Spatiotemporal Variability of Global Sea Surface Temperatures and Global Palmer Drought Severity Index Values 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 023:;page 6251
    Author(s): Apipattanavis, Somkiat; McCabe, Gregory J.; Rajagopalan, Balaji; Gangopadhyay, Subhrendu
    Publisher: American Meteorological Society
    Abstract: Dominant modes of individual and joint variability in global sea surface temperatures (SST) and global Palmer drought severity index (PDSI) values for the twentieth century are identified through a multivariate frequency ...
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    Climate Index Weighting Schemes for NWS ESP-Based Seasonal Volume Forecasts 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 006:;page 1076
    Author(s): Werner, Kevin; Brandon, David; Clark, Martyn; Gangopadhyay, Subhrendu
    Publisher: American Meteorological Society
    Abstract: This study compares methods to incorporate climate information into the National Weather Service River Forecast System (NWSRFS). Three small-to-medium river subbasins following roughly along a longitude in the Colorado ...
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    Incorporating Medium-Range Numerical Weather Model Output into the Ensemble Streamflow Prediction System of the National Weather Service 

    Source: Journal of Hydrometeorology:;2005:;Volume( 006 ):;issue: 002:;page 101
    Author(s): Werner, Kevin; Brandon, David; Clark, Martyn; Gangopadhyay, Subhrendu
    Publisher: American Meteorological Society
    Abstract: This study introduces medium-range meteorological ensemble inputs of temperature and precipitation into the Ensemble Streamflow Prediction component of the National Weather Service River Forecast System (NWSRFS). The Climate ...
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    The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 001:;page 243
    Author(s): Clark, Martyn; Gangopadhyay, Subhrendu; Hay, Lauren; Rajagopalan, Balaji; Wilby, Robert
    Publisher: American Meteorological Society
    Abstract: A number of statistical methods that are used to provide local-scale ensemble forecasts of precipitation and temperature do not contain realistic spatial covariability between neighboring stations or realistic temporal ...
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    Effects of Spatial and Temporal Aggregation on the Accuracy of Statistically Downscaled Precipitation Estimates in the Upper Colorado River Basin 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 006:;page 1192
    Author(s): Gangopadhyay, Subhrendu; Clark, Martyn; Werner, Kevin; Brandon, David; Rajagopalan, Balaji
    Publisher: American Meteorological Society
    Abstract: To test the accuracy of statistically downscaled precipitation estimates from numerical weather prediction models, a set of experiments to study what space and time scales are appropriate to obtain downscaled precipitation ...
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    How Does the Choice of Distributed Meteorological Data Affect Hydrologic Model Calibration and Streamflow Simulations? 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 004:;page 1384
    Author(s): Elsner, Marketa M.; Gangopadhyay, Subhrendu; Pruitt, Tom; Brekke, Levi D.; Mizukami, Naoki; Clark, Martyn P.
    Publisher: American Meteorological Society
    Abstract: patially distributed historical meteorological forcings (temperature and precipitation) are commonly incorporated into modeling efforts for long-term natural resources planning. For water management decisions, it is critical ...
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    Hydrologic Implications of Different Large-Scale Meteorological Model Forcing Datasets in Mountainous Regions 

    Source: Journal of Hydrometeorology:;2013:;Volume( 015 ):;issue: 001:;page 474
    Author(s): Mizukami, Naoki; P. Clark, Martyn; G. Slater, Andrew; D. Brekke, Levi; M. Elsner, Marketa; R. Arnold, Jeffrey; Gangopadhyay, Subhrendu
    Publisher: American Meteorological Society
    Abstract: rocess-based hydrologic models require extensive meteorological forcing data, including data on precipitation, temperature, shortwave and longwave radiation, humidity, surface pressure, and wind speed. Observations of ...
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