{"id":775,"date":"2023-07-02T19:01:58","date_gmt":"2023-07-02T18:01:58","guid":{"rendered":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/?page_id=775"},"modified":"2023-07-02T19:01:58","modified_gmt":"2023-07-02T18:01:58","slug":"abstract050","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/abstract050\/","title":{"rendered":"Abstract 050"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]Abstract ID:<\/strong> 050<\/p>\n

CMA-CPSv3: A sub-seasonal to annual climate prediction system in China Meteorological Administration<\/h2>\n

Lead Author:<\/strong> Tongwen Wu
\nEarth System Modeling and Prediction Center, China Meteorological Administration, China
\n<\/span><\/p>\n

Keywords:<\/strong> sub-seasonal to annual climate prediction, Climate System Model<\/p>\n

Abstract:<\/strong> CMA-CPSv3 is the China Meteorological Administration (CMA) Climate Prediction System version 3 that used for sub-seasonal to seasonal prediction on every weekly, monthly to annual prediction on every month. It is based on the climate system BCC-CSM2-HR originally developed by the Beijing Climate Centre (BCC), CMA. BCC-CSM2-HR is the global fully coupled atmosphere-ocean-land-sea ice model with a horizontal resolution of T266 (approximately 45 km) in atmosphere and 0.25ox0.25o in ocean. It has 56 layers in the vertical and 0.092 hPa for the top of model (Wu et al., 2021). This model was participated in CMIP6-endorsed HighResMIP. Its climate prediction performance is significantly improved with compared to the previous generation system, especially in monsoon circulation and MJO prediction. It has been used for S2S prediction project, and will be used for sub-seasonal to decadal climate prediction.<\/p>\n

Co-authors:
\n<\/strong>Qiaoping Li (Earth System Modeling and Prediction Center, China Meteorological Administration),
\nXiangwen Liu (Earth System Modeling and Prediction Center, China Meteorological Administration),
\nWeihua Jie (Earth System Modeling and Prediction Center, China Meteorological Administration),
\nYixiong Lu (Earth System Modeling and Prediction Center, China Meteorological Administration).[\/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: 050 CMA-CPSv3: A sub-seasonal to annual climate prediction system in China Meteorological Administration Lead Author: Tongwen Wu Earth System Modeling and Prediction Center, China Meteorological Administration, China Keywords:…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-775","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nAbstract 050 - 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\/abstract050\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Abstract 050 - 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