{"id":769,"date":"2023-07-02T18:58:05","date_gmt":"2023-07-02T17:58:05","guid":{"rendered":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/?page_id=769"},"modified":"2023-07-02T18:58:05","modified_gmt":"2023-07-02T17:58:05","slug":"abstract048","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/s2s-summit2023\/programme\/abstract048\/","title":{"rendered":"Abstract 048"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]Abstract ID:<\/strong> 048<\/p>\n

Stratosphere & Stratosphere-Troposphere Coupling Biases in Subseasonal-to-Seasonal Forecast Models:
\nAn International SNAP Community Effort<\/h2>\n

Lead Author:<\/strong> Zachary Lawrence
\nCIRES \/ NOAA PSL, United States of America
\n<\/span><\/p>\n

Keywords:<\/strong> stratosphere, stratosphere-troposphere coupling, biases<\/p>\n

Abstract:<\/strong> Two-way coupling between the stratosphere and troposphere is recognized as an important source of subseasonal-to-seasonal (S2S) predictability. Stratospheric processes involving phenomena such as the stratospheric polar vortex and the quasi-biennial oscillation can modulate the tropospheric circulation in predictable ways and\/or provide forecast windows of opportunity. S2S forecast models can struggle to represent such coupling processes; at longer lead times, drifts in a model\u2019s circulation related to model configurations, biases, and parameterizations have the potential to feedback and affect stratosphere-troposphere coupling. Fortunately, biases in the stratosphere provide useful insights into their likely sources because of well known radiative and dynamical controls on stratospheric temperatures and winds. This presentation will highlight results from an international SPARC-SNAP (Stratospheric Network for the Assessment of Predictability) community effort to diagnose and characterize stratosphere-related biases in S2S models, and better understand their ties to tropospheric biases and impacts on predictive skill.<\/p>\n

Co-authors:
\n<\/strong>Marta Abalos (Universidad Complutense de Madrid)
\nBlanca Ayarzag\u00fcena (Universidad Complutense de Madrid)
\nDavid Barriopedro (Universidad Complutense de Madrid)
\nAmy H. Butler (NOAA CSL)
\nNatalia Calvo (Universidad Complutense de Madrid)
\nAlvaro de la C\u00e1mara (Universidad Complutense de Madrid)
\nAndrew Charlton-Perez (University of Reading)
\nDaniela I. V. Domeisen (University of Lausanne \/ ETH Zurich)
\nEtienne Dunn-Sigouin (NORCE Norwegian Research Centre \/ Bjerknes Centre for Climate Research)
\nJavier Garcia-Serrano (Universitat de Barcelona)
\nChaim I. Garfinkel (The Hebrew University of Jerusalem)
\nNeil P. Hindley (University of Bath)
\nLiwei Jia (UCAR \/ NOAA GFDL)
\nMartin Jucker (University of New South Wales \/ Australian Research Council Center of Excellence for Climate Extremes)
\nAlexey Y. Karpechko (Finnish Meteorological Institute)
\nHera Kim (Seoul National University)
\nGerbrand Koren (Utrecht University)
\nAndrea L. Lang (University at Albany, State University of New York)
\nSimon H. Lee (Columbia University)
\nPu Lin (Princeton University \/ NOAA GFDL)
\nMarisol Osman (Karlsruhe Institute of Technology)
\nFroila M. Palmeiro (Universitat de Barcelona)
\nJudith Perlwitz (NOAA PSL)
\nInna Polichtchouk (ECMWF)
\nJadwiga Richter (NCAR)
\nChen Schwartz (The Hebrew University of Jerusalem)
\nSeok-Woo Son (Seoul National University)
\nIrina Statnaia (Finnish Meteorological Institute)
\nMasakazu Taguchi (Aichi University of Education)
\nNicholas Tyrrell (Finnish Meteorological Institute)
\nCorwin J. Wright (University of Bath)
\nRachel Wu (ETH Zurich)[\/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: 048 Stratosphere & Stratosphere-Troposphere Coupling Biases in Subseasonal-to-Seasonal Forecast Models: An International SNAP Community Effort Lead Author: Zachary Lawrence CIRES \/ NOAA PSL, United States of America 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-769","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nAbstract 048 - 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\/abstract048\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Abstract 048 - 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