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    Correcting Errors in Streamflow Forecast Ensemble Mean and Spread 

    Source: Journal of Hydrometeorology:;2008:;Volume( 009 ):;issue: 001:;page 132
    Author(s): Wood, Andrew W.; Schaake, John C.
    Publisher: American Meteorological Society
    Abstract: When hydrological models are used for probabilistic streamflow forecasting in the Ensemble Streamflow Prediction (ESP) framework, the deterministic components of the approach can lead to errors in the estimation of forecast ...
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    Comparison of Probabilistic Quantitative Precipitation Forecasts from Two Postprocessing Mechanisms 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 011:;page 2873
    Author(s): Zhang, Yu;Wu, Limin;Scheuerer, Michael;Schaake, John;Kongoli, Cezar
    Publisher: American Meteorological Society
    Abstract: AbstractThis article compares the skill of medium-range probabilistic quantitative precipitation forecasts (PQPFs) generated via two postprocessing mechanisms: 1) the mixed-type meta-Gaussian distribution (MMGD) model and ...
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    HEPEX: The Hydrological Ensemble Prediction Experiment 

    Source: Bulletin of the American Meteorological Society:;2007:;volume( 088 ):;issue: 010:;page 1541
    Author(s): Schaake, John C.; Hamill, Thomas M.; Buizza, Roberto; Clark, Martyn
    Publisher: American Meteorological Society
    Abstract: The Hydrological Ensemble Prediction Experiment (HEPEX) is an international project to advance technologies for hydrological forecasting. Its goal is ?to bring the international hydrological and meteorological communities ...
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    Calibration and Downscaling Methods for Quantitative Ensemble Precipitation Forecasts 

    Source: Weather and Forecasting:;2010:;volume( 025 ):;issue: 006:;page 1603
    Author(s): Voisin, Nathalie; Schaake, John C.; Lettenmaier, Dennis P.
    Publisher: American Meteorological Society
    Abstract: Two approaches for downscaling and calibrating error estimates from ensemble precipitation forecasts are evaluated; the two methods are intended to be used to produce flood forecasts based on global weather forecasts in ...
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    A Framework for Diagnosing Seasonal Prediction through Canonical Event Analysis 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 006:;page 2404
    Author(s): Roundy, Joshua K.; Yuan, Xing; Schaake, John; Wood, Eric F.
    Publisher: American Meteorological Society
    Abstract: ydrologic extremes in the form of flood and drought have large impacts on society that can be reduced through preparations made possible by seasonal prediction. However, the skill of seasonal predictions from global climate ...
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    Application of a Medium-Range Global Hydrologic Probabilistic Forecast Scheme to the Ohio River Basin 

    Source: Weather and Forecasting:;2011:;volume( 026 ):;issue: 004:;page 425
    Author(s): Voisin, Nathalie; Pappenberger, Florian; Lettenmaier, Dennis P.; Buizza, Roberto; Schaake, John C.
    Publisher: American Meteorological Society
    Abstract: 10-day globally applicable flood prediction scheme was evaluated using the Ohio River basin as a test site for the period 2003?07. The Variable Infiltration Capacity (VIC) hydrology model was initialized with the European ...
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    Comparative Evaluation of Three Schaake Shuffle Schemes in Postprocessing GEFS Precipitation Ensemble Forecasts 

    Source: Journal of Hydrometeorology:;2017:;volume 019:;issue 003:;page 575
    Author(s): Wu, Limin; Zhang, Yu; Adams, Thomas; Lee, Haksu; Liu, Yuqiong; Schaake, John
    Publisher: American Meteorological Society
    Abstract: AbstractNatural weather systems possess certain spatiotemporal variability and correlations. Preserving these spatiotemporal properties is a significant challenge in postprocessing ensemble weather forecasts. To address ...
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    The Science of NOAA's Operational Hydrologic Ensemble Forecast Service 

    Source: Bulletin of the American Meteorological Society:;2013:;volume( 095 ):;issue: 001:;page 79
    Author(s): Demargne, Julie; Wu, Limin; Regonda, Satish K.; Brown, James D.; Lee, Haksu; He, Minxue; Seo, Dong-Jun; Hartman, Robert; Herr, Henry D.; Fresch, Mark; Schaake, John; Zhu, Yuejian
    Publisher: American Meteorological Society
    Abstract: tional Weather Service (NWS) is implementing a short- to long-range Hydrologic Ensemble Forecast Service (HEFS). The HEFS addresses the need to quantify uncertainty in hydrologic forecasts for flood risk management, water ...
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    Multiscale Variability of the River Runoff System in China and Its Long-Term Link to Precipitation and Sea Surface Temperature 

    Source: Journal of Hydrometeorology:;2005:;Volume( 006 ):;issue: 004:;page 550
    Author(s): Xue, Yongkang; Ji, Jinjun; Sun, Shufen; Wu, Guoxiong; Lau, K-M.; Poccard, Isabelle; Kang, Hyun-Suk; Zhang, Renhe; Schaake, John C.; Zhang, Jian Yun; Jiao, Yanjun
    Publisher: American Meteorological Society
    Abstract: This is an exploratory study to investigate the spatial and temporal characteristics of east China?s (EC) river runoff and their relationship with precipitation and sea surface temperature (SST) at the continental scale. ...
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    Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction 

    Source: Bulletin of the American Meteorological Society:;2010:;volume( 091 ):;issue: 010:;page 1397
    Author(s): Brunet, Gilbert; Shapiro, Melvyn; Hoskins, Brian; Moncrieff, Mitch; Dole, Randall; Kiladis, George N.; Kirtman, Ben; Lorenc, Andrew; Mills, Brian; Morss, Rebecca; Polavarapu, Saroja; Rogers, David; Schaake, John; Shukla, Jagadish
    Publisher: American Meteorological Society
    Abstract: Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP) have identified collaborations and scientific priorities to accelerate advances in analysis and prediction at subseasonal-to-seasonal time ...
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