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    Evaluation of Official Western U.S. Seasonal Water Supply Outlooks, 1922–2002

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 005::page 896
    Author:
    Pagano, Thomas
    ,
    Garen, David
    ,
    Sorooshian, Soroosh
    DOI: 10.1175/1525-7541(2004)005<0896:EOOWUS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: An analysis was conducted of almost 5000 operational seasonal streamflow forecast errors across the western United States. These forecasts are for 29 unregulated rivers with diversity in geography and climate. Deterministic evaluations revealed strong correspondence between observations and forecasts issued 1 April. Forecasts issued earlier in the season were more uncertain yet remained skillful. The average change in forecast performance between January and April was primarily linked to the climatological seasonal cycle of precipitation: regions with climatologically wet winters and dry springs (e.g., California) showed much more forecast improvement between January and April than did regions with dry winters and wet springs (e.g., western Great Plains, Colorado Front Range). Other climatological factors played a secondary role; for example, mixed rain?snow basins in the Pacific Northwest did not show as significant an improvement in skill versus lead time as might otherwise be expected. Mixed trends in 1 April forecast skill were noted since the 1980s, with increased skill in California and Nevada, and a decline in skill in the Colorado River basin. Increased variability in streamflow was also noted across most of the western United States, although this did not appear to be the only factor responsible for trends in forecast skill.
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      Evaluation of Official Western U.S. Seasonal Water Supply Outlooks, 1922–2002

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206415
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    • Journal of Hydrometeorology

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    contributor authorPagano, Thomas
    contributor authorGaren, David
    contributor authorSorooshian, Soroosh
    date accessioned2017-06-09T16:17:45Z
    date available2017-06-09T16:17:45Z
    date copyright2004/10/01
    date issued2004
    identifier issn1525-755X
    identifier otherams-65214.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206415
    description abstractAn analysis was conducted of almost 5000 operational seasonal streamflow forecast errors across the western United States. These forecasts are for 29 unregulated rivers with diversity in geography and climate. Deterministic evaluations revealed strong correspondence between observations and forecasts issued 1 April. Forecasts issued earlier in the season were more uncertain yet remained skillful. The average change in forecast performance between January and April was primarily linked to the climatological seasonal cycle of precipitation: regions with climatologically wet winters and dry springs (e.g., California) showed much more forecast improvement between January and April than did regions with dry winters and wet springs (e.g., western Great Plains, Colorado Front Range). Other climatological factors played a secondary role; for example, mixed rain?snow basins in the Pacific Northwest did not show as significant an improvement in skill versus lead time as might otherwise be expected. Mixed trends in 1 April forecast skill were noted since the 1980s, with increased skill in California and Nevada, and a decline in skill in the Colorado River basin. Increased variability in streamflow was also noted across most of the western United States, although this did not appear to be the only factor responsible for trends in forecast skill.
    publisherAmerican Meteorological Society
    titleEvaluation of Official Western U.S. Seasonal Water Supply Outlooks, 1922–2002
    typeJournal Paper
    journal volume5
    journal issue5
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/1525-7541(2004)005<0896:EOOWUS>2.0.CO;2
    journal fristpage896
    journal lastpage909
    treeJournal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 005
    contenttypeFulltext
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