{"id":847,"date":"2023-07-02T19:56:40","date_gmt":"2023-07-02T18:56:40","guid":{"rendered":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/?page_id=847"},"modified":"2023-07-02T19:56:40","modified_gmt":"2023-07-02T18:56:40","slug":"abstract088","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/abstract088\/","title":{"rendered":"Abstract 088"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]Abstract ID:<\/strong> 088<\/p>\n

Evaluation of GEOS -S2S Version 3 Forecast System<\/h2>\n

Lead Author:<\/strong> Li Ren
\nNASA\/GSFC, SSAI, United States of America
\n<\/span><\/p>\n

Keywords:<\/strong> GMAO, GEOS S2S, MERRA2, coupled assimilation, forecast skill<\/p>\n

Abstract:<\/strong> The Global Modeling and Assimilation Office (GMAO) has developed a new version (V3) of the Goddard Earth Observing System (GEOS) Subseasonal to Seasonal prediction (S2S) system. This new version of the coupled atmosphere-ocean data assimilation system runs with upgrades of a higher oceanic resolution, assimilation of satellite sea surface salinity, new ensemble forecast strategy, and \u201cdual ocean\u201d replay the GEOS Atmospheric Reanalysis, the Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA 2). This new \u201cweakly\u201d coupled reanalysis is designed to provide dynamically consistent air\/sea coupled model results for a wide range of scientific studies. In addition, this coupled system will provide initial conditions for the next generation of subseasonal to seasonal forecasts from GMAO (S2S-V3). The coupled assimilation system assimilates all available in situ temperature and salinity profiles, along-track absolute dynamic topography, and sea surface salinity from Aquarius, SMAP and SMOS. First, we evaluate the ocean data assimilation statistics over depth for temperature and salinity, SST, SSS, mixed layer depth, upper ocean heat content, and water masses, globally and regionally. Next, we demonstrate the improved forecast skill initialized from coupled assimilation analysis over our current NMME forecast system, S2S-V2.<\/p>\n

Co-authors:
\n<\/strong>Andrea Molod (NASA\/GSFC)
\nEric Hackert (NASA\/GSFC)
\nSantha Akelia (NASA\/GSFC)
\nLauren Andrews (NASA\/GSFC)
\nDonifan Barahona (NASA\/GSFC)
\nAnna Borovikov (NASA\/GSFC, SSAI)
\nRichard Cullather (NASA\/GSFC, University of Maryland)
\nRobin Kovach (NASA\/GSFC, SSAI)
\nRandal Koster (NASA\/GSFC)
\nZhao Li (NASA\/GSFC, SSAI)
\nYoung-Kwon Lim (NASA\/GSFC, UMBC)
\nJelena Marshak (NASA\/GSFC)
\nKazumi Nakada (NASA\/GSFC, SSAI)
\nSiegfried Schubert (NASA\/GSFC, SSAI)
\nYury Vikhliaev (NASA\/GSFC, SSAI)
\nBin Zhao (NASA\/GSFC, SAIC)
\nSteven Pawson (NASA\/GSFC)[\/vc_column_text][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/6″][vc_single_image image=”344″ img_size=”full” onclick=”custom_link” link=”http:\/\/s2sprediction.net\/”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”345″ img_size=”full” onclick=”custom_link” link=”https:\/\/public.wmo.int\/en”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”346″ img_size=”full” onclick=”custom_link” link=”https:\/\/community.wmo.int\/activity-areas\/wwrp”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”347″ img_size=”full” onclick=”custom_link” link=”https:\/\/www.wcrp-climate.org\/”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”348″ img_size=”full”][\/vc_column][vc_column width=”1\/6″][vc_single_image image=”349″ img_size=”full” onclick=”custom_link” link=”https:\/\/www.reading.ac.uk\/”][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_column_text]Abstract ID: 088 Evaluation of GEOS -S2S Version 3 Forecast System Lead Author: Li Ren NASA\/GSFC, SSAI, United States of America Keywords: GMAO, GEOS S2S, MERRA2, coupled assimilation, forecast skill…Read More ><\/a><\/p>\n","protected":false},"author":145,"featured_media":0,"parent":528,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"__cvm_playback_settings":[],"__cvm_video_id":"","footnotes":""},"coauthors":[13],"class_list":["post-847","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nAbstract 088 - WWRP\/WCRP S2S Summit 2023<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/abstract088\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Abstract 088 - 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