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    Comparison of the GPCP 1DD Precipitation Product and NEXRAD Q2 Precipitation Estimates over the Continental United States 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 006:;page 1837
    Author(s): Cui, Wenjun; Dong, Xiquan; Xi, Baike; Stenz, Ronald
    Publisher: American Meteorological Society
    Abstract: his study compares the Global Precipitation Climatology Project (GPCP) 1 Degree Daily (1DD) precipitation estimates over the continental United States (CONUS) with National Mosaic and Multi-Sensor Quantitative Precipitation ...
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    Assessment of SCaMPR and NEXRAD Q2 Precipitation Estimates Using Oklahoma Mesonet Observations 

    Source: Journal of Hydrometeorology:;2014:;Volume( 015 ):;issue: 006:;page 2484
    Author(s): Stenz, Ronald; Dong, Xiquan; Xi, Baike; Kuligowski, Robert J.
    Publisher: American Meteorological Society
    Abstract: lthough satellite precipitation estimates provide valuable information for weather and flood forecasts, infrared (IR) brightness temperature (BT)-based algorithms often produce large errors for precipitation detection and ...
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    Improving Satellite Quantitative Precipitation Estimation Using GOES-Retrieved Cloud Optical Depth 

    Source: Journal of Hydrometeorology:;2015:;Volume( 017 ):;issue: 002:;page 557
    Author(s): Stenz, Ronald; Dong, Xiquan; Xi, Baike; Feng, Zhe; Kuligowski, Robert J.
    Publisher: American Meteorological Society
    Abstract: o address gaps in ground-based radar coverage and rain gauge networks in the United States, geostationary satellite quantitative precipitation estimation (QPE) such as the Self-Calibrating Multivariate Precipitation Retrieval ...
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