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    Proactive Quality Control: Observing System Experiments Using the NCEP Global Forecast System 

    Source: Monthly Weather Review:;2020:;volume( 148 ):;issue: 009:;page 3911
    Author(s): Chen, Tse-Chun;Kalnay, Eugenia
    Publisher: American Meteorological Society
    Abstract: Proactive quality control (PQC) is a fully flow dependent QC based on ensemble forecast sensitivity to observations (EFSO). Past studies showed in several independent cases that GFS forecasts can be improved by rejecting ...
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    Proactive Quality Control: Observing System Simulation Experiments with the Lorenz ’96 Model 

    Source: Monthly Weather Review:;2018:;volume 147:;issue 001:;page 53
    Author(s): Chen, Tse-Chun; Kalnay, Eugenia
    Publisher: American Meteorological Society
    Abstract: Proactive quality control (PQC) is a fully flow-dependent QC for observations based on the ensemble forecast sensitivity to observations technique (EFSO). It aims at reducing the forecast skill dropout events suffered in ...
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    Neural Networks to Find the Optimal Forcing for Offsetting the Anthropogenic Climate Change Effects 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Ren, Huiying; Lu, Jian; Hou, Z. Jason; Chen, Tse-Chun; Leung, L. Ruby; Liu, Fukai
    Publisher: American Meteorological Society
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    S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization in NOAA Numerical Modeling Systems: A Step Toward Bridging the Gap between Research and Operations 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 012:;page 2359
    Author(s): Boukabara, Sid A.; Zhu, Tong; Tolman, Hendrik L.; Lord, Steve; Goodman, Steven; Atlas, Robert; Goldberg, Mitch; Auligne, Thomas; Pierce, Bradley; Cucurull, Lidia; Zupanski, Milija; Zhang, Man; Moradi, Isaac; Otkin, Jason; Santek, David; Hoover, Brett; Pu, Zhaoxia; Zhan, Xiwu; Hain, Christopher; Kalnay, Eugenia; Hotta, Daisuke; Nolin, Scott; Bayler, Eric; Mehra, Avichal; Casey, Sean P. F.; Lindsey, Daniel; Grasso, Louie; Kumar, V. Krishna; Powell, Alfred; Xu, Jianjun; Greenwald, Thomas; Zajic, Joe; Li, Jun; Li, Jinliong; Li, Bin; Liu, Jicheng; Fang, Li; Wang, Pei; Chen, Tse-Chun
    Publisher: American Meteorological Society
    Abstract: n 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with the academic community to help address a vexing issue that has long been known as a disconnection between the operational ...
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