Quantifying the Benefits of Altimetry Assimilation in Seasonal Forecasts of the Upper Ocean
Supporting Files
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2023
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Details
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Journal Title:Journal of Geophysical Research: Oceans
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Personal Author:
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NOAA Program & Office:NWS (National Weather Service) ; OAR (Oceanic and Atmospheric Research) ; CIMAR (Cooperative Institute for Marine and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; CPC (Climate Prediction Center) ; NCEP (National Centers for Environmental Prediction) ; PSL (Physical Sciences Laboratory)
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Description:Satellite altimetry measurements of sea surface height provide near-global ocean state observations on sub-monthly time scales, which are not always utilized by seasonal climate forecasting systems. As early as the mid-1990s, attempts were made to assimilate altimetry observations to initialize climate models. These experiments demonstrated improved ocean forecasting skill, especially compared to experiments that did not assimilate subsurface ocean temperature information. Nowadays, some operational climate forecasting models utilize altimetry in their assimilation systems, whereas others do not. Here, we assess the impact of altimetry assimilation on seasonal prediction skill of ocean variables in two climate forecasting systems that
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Source:Journal of Geophysical Research: Oceans, 128(5)
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DOI:
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ISSN:2169-9275 ; 2169-9291
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Rights Information:Other
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Compliance:Library
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Main Document Checksum:urn:sha256:f06ad72877ef9318b9b05f19220496d189dd934a714889c253915d8c6dd49cf3
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Supporting Files
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