{"id":1063,"date":"2023-07-03T01:20:20","date_gmt":"2023-07-03T00:20:20","guid":{"rendered":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/?page_id=1063"},"modified":"2023-07-03T01:20:20","modified_gmt":"2023-07-03T00:20:20","slug":"abstract188","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/abstract188\/","title":{"rendered":"Abstract 188"},"content":{"rendered":"<p>[vc_row][vc_column][vc_column_text]<strong>Abstract ID:<\/strong> 188<\/p>\n<h2 style=\"text-align: center\">Advances in the prediction of MJO-Teleconnections in the S2S forecast systems<\/h2>\n<p style=\"text-align: center\"><span data-contrast=\"auto\"><strong>Lead Author:<\/strong> Cristiana Stan<br \/>\nGeorge Mason University, United States of America<br \/>\n<\/span><\/p>\n<p><strong>Keywords:<\/strong> sub-project highlight<\/p>\n<p><strong>Abstract:<\/strong> This study evaluates the ability of state-of-the-art subseasonal to seasonal (S2S) forecasting systems to represent and predict the teleconnections of the Madden Julian Oscillations and their effects on weather in terms of midlatitude weather patterns and North Atlantic tropical cyclones. This evaluation of forecast systems applies novel diagnostics developed to track teleconnections along their preferred pathways in the troposphere and stratosphere, and to measure the global and regional responses induced by teleconnections across both the Northern and Southern Hemispheres. Results of this study will help the modeling community understand to what extent the potential to predict the weather on S2S time scales is achieved by the current generation of forecasting systems, while informing where to focus further development efforts. The findings of this study will also provide impact modelers and decision makers with a better understanding of the potential of S2S predictions related to MJO teleconnections.<\/p>\n<p><strong>Co-authors:<br \/>\n<\/strong>Cheng Zheng (Lamont-Doherty Earth Observatory, Columbia University, USA)<br \/>\nEdmund Kar-Man Chang (School of Marine and Atmospheric Sciences, Stony Brook University, USA<br \/>\nDaniela I.V. Domeisen (ETH Z\u00fcrich, Institute for Atmospheric and Climate Science, Z\u00fcrich, Switzerland and University of Lausanne, Lausanne, Switzerland)<br \/>\nChaim I. Garfinkel (The Fredy and Nadine Hermann Institute of Earth Sciences, Hebrew University of Jerusalem, Israel)<br \/>\nAndrea M. Jenney (Department of Earth System Science, University of California, Irvine, USA)<br \/>\nHyemi Kim (School of Marine and Atmospheric Sciences, Stony Brook University, USA )<br \/>\nYoung-Kwon Lim (Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, USA and<br \/>\nGoddard Earth Sciences Technology and Research \/ University of Maryland Baltimore County, USA<br \/>\nHai Lin (Environment and Climate Change Canada, Canada)<br \/>\nAndrew Robertson (International Research Institute for Climate and Society, USA)<br \/>\nChen Schwartz (The Fredy and Nadine Hermann Institute of Earth Sciences, Hebrew University of Jerusalem, Israel)<br \/>\nFrederic Vitart (European Center for Medium-Range Weather Forecast, UK)<br \/>\nJiabao Wang (Center for Western Weather and Water Extremes, Scripps Institute of Oceanography, University of California, San Diego, USA)<br \/>\nPriyanka Yadav (ETH Z\u00fcrich, Institute for Atmospheric and Climate Science, Z\u00fcrich, Switzerland)[\/vc_column_text][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/6&#8243;][vc_single_image image=&#8221;344&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;http:\/\/s2sprediction.net\/&#8221;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_single_image image=&#8221;345&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;https:\/\/public.wmo.int\/en&#8221;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_single_image image=&#8221;346&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;https:\/\/community.wmo.int\/activity-areas\/wwrp&#8221;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_single_image image=&#8221;347&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;https:\/\/www.wcrp-climate.org\/&#8221;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_single_image image=&#8221;348&#8243; img_size=&#8221;full&#8221;][\/vc_column][vc_column width=&#8221;1\/6&#8243;][vc_single_image image=&#8221;349&#8243; img_size=&#8221;full&#8221; onclick=&#8221;custom_link&#8221; link=&#8221;https:\/\/www.reading.ac.uk\/&#8221;][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text]Abstract ID: 188 Advances in the prediction of MJO-Teleconnections in the S2S forecast systems Lead Author: Cristiana Stan George Mason University, United States of America Keywords: sub-project highlight Abstract: This&#8230;<a class=\"read-more\" href=\"&#104;&#116;&#116;&#112;&#115;&#58;&#47;&#47;&#114;&#101;&#115;&#101;&#97;&#114;&#99;&#104;&#46;&#114;&#101;&#97;&#100;&#105;&#110;&#103;&#46;&#97;&#99;&#46;&#117;&#107;&#47;&#115;&#50;&#115;&#45;&#115;&#117;&#109;&#109;&#105;&#116;&#50;&#48;&#50;&#51;&#47;&#112;&#114;&#111;&#103;&#114;&#97;&#109;&#109;&#101;&#47;&#97;&#98;&#115;&#116;&#114;&#97;&#99;&#116;&#49;&#56;&#56;&#47;\">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-1063","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.8.1 - 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