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    A MODIS-Based Global 1-km Maximum Green Vegetation Fraction Dataset 

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008:;page 1996
    Author(s): Broxton, Patrick D.; Zeng, Xubin; Scheftic, William; Troch, Peter A.
    Publisher: American Meteorological Society
    Abstract: lobal land-cover data are widely used in regional and global models because land cover influences land?atmosphere exchanges of water, energy, momentum, and carbon. Many models use data of maximum green vegetation fraction ...
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    Seasonal Forecasting of Precipitation, Temperature, and Snow Mass over the Western United States by Combining Ensemble Postprocessing with Empirical Ocean–Atmosphere Teleconnections 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 008:;page 1413
    Author(s): Scheftic, William D.; Zeng, Xubin; Brunke, Michael A.
    Publisher: American Meteorological Society
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    From California’s Extreme Drought to Major Flooding: Evaluating and Synthesizing Experimental Seasonal and Subseasonal Forecasts of Landfalling Atmospheric Rivers and Extreme Precipitation during Winter 2022/23 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 001:;page E84
    Author(s): DeFlorio, Michael J.; Sengupta, Agniv; Castellano, Christopher M.; Wang, Jiabao; Zhang, Zhenhai; Gershunov, Alexander; Guirguis, Kristen; Luna Niño, Rosa; Clemesha, Rachel E. S.; Pan, Ming; Xiao, Mu; Kawzenuk, Brian; Gibson, Peter B.; Scheftic, William; B
    Publisher: American Meteorological Society
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