{"id":799,"date":"2023-01-17T16:19:23","date_gmt":"2023-01-17T16:19:23","guid":{"rendered":"https:\/\/atmos.ucla.edu\/csi\/?page_id=799"},"modified":"2023-01-20T17:21:53","modified_gmt":"2023-01-20T17:21:53","slug":"research-areas-overview","status":"publish","type":"page","link":"https:\/\/atmos.ucla.edu\/csi\/research-areas-overview\/","title":{"rendered":"Research Areas Overview"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\" id=\"block-7c7c33f5-6c88-4ad0-b0fd-8165b50ac842\"><strong>Precipitation processes and changes under global warming<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\" id=\"block-9c8d4452-343c-4718-a9ca-e37b781c3f05\"><li><a href=\"https:\/\/atmos.ucla.edu\/csi\/precipitation-clusters\/\">Precipitation Clusters<\/a><ul><li><a href=\"https:\/\/atmos.ucla.edu\/csi\/precipitation-clusters\/\">Changes in probability of large clusters under global warming<\/a><\/li><li><a href=\"https:\/\/atmos.ucla.edu\/csi\/research-areas\/intermediate-complexity-models\/\">Explaining precipitation cluster size distributions with intermediate complexity models<\/a><\/li><\/ul><\/li><li>Precipitation probability distributions<ul><li>Explaining precipitation probability distributions<\/li><\/ul><\/li><li>Precipitation buoyancy relationships<\/li><li>Understanding deep convection to improve climate models<ul><li>Example: Explaining <a href=\"https:\/\/atmos.ucla.edu\/csi\/deep-inflow\/\">deep inflow<\/a>\u2014 what it is, why it matters<\/li><\/ul><\/li><\/ul>\n\n\n\n<p id=\"block-7ae9005b-c7bb-4f08-9bc6-66cdd8575c27\">\ufeff<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"block-26f2590b-4e68-44c9-b724-4853f3a492c7\"><strong>Hierarchical modeling<\/strong><\/h4>\n\n\n\n<p id=\"block-9f670fe9-047b-4368-b9de-9e78c6b2081e\">Creation of process models and <strong>intermediate complexity models <\/strong>that yield understanding of climate system processes<\/p>\n\n\n\n<ul class=\"wp-block-list\" id=\"block-2b9671d5-f53e-40c2-b555-4a4a3d083128\"><li><a href=\"https:\/\/atmos.ucla.edu\/csi\/research-areas\/intermediate-complexity-models\/\">Intermediate complexity models for convective aggregation<\/a><\/li><li><a href=\"https:\/\/atmos.ucla.edu\/csi\/qtcm\/\">QTCMs (Quasi-equilibrium Tropical Circulation Models): Intermediate complexity Earth system models that use the properties of moist convection to simplify atmospheric equations<\/a><\/li><\/ul>\n\n\n\n<div style=\"height:32px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"block-36e23d57-a875-4dcb-8d0c-64093dabf0fc\"><strong><a href=\"https:\/\/atmos.ucla.edu\/csi\/research-areas\/ocean-atmosphere-interaction\/\">Ocean-Atmosphere Interaction<\/a><\/strong><\/h4>\n\n\n\n<p id=\"block-c76bce9a-0563-485f-b8ab-07a7e00506ad\">\ufeff<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"block-cb350b97-6a7c-4af9-97d4-5f53b0fefa50\"><strong>Tropical atmospheric dynamics for tropical climate problems<\/strong><\/h4>\n\n\n\n<p id=\"block-d57d972d-853c-4404-bff4-8f2ad4353216\">\ufeff<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"block-682443a4-d510-4bf5-9b65-cb23c8b0a16a\"><strong>Process-oriented diagnostics<\/strong><\/h4>\n\n\n\n<p id=\"block-772e1f8b-e038-4f39-979d-47361d4460b9\">Process-oriented diagnostics aim to identify\u2026 Neelin Chairs the NOAA Model Diagnostics Task Force (MDTF) in a <a href=\"https:\/\/www.gfdl.noaa.gov\/model-diagnostics-task-force-framework-team-2\/\">collaborative effort<\/a> with the Geophysical Fluid Dynamics Laboratory, the National Center for Atmospheric Research, Colorado State University, UC Davis, Lawrence Livermore National Laboratory and other institutions.&nbsp; The MDTF coordinates diagnostics inputs from many contributing institutions into a <a href=\"https:\/\/www.gfdl.noaa.gov\/mdtf-diagnostics\/\">software framework<\/a> used by climate and weather model developers to test and improve the next generation of models.<\/p>\n\n\n\n<p>\ufeff<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Page<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Precipitation processes and changes under global warming Precipitation Clusters Changes in probability of large clusters under global warming Explaining precipitation cluster size distributions with intermediate complexity models Precipitation probability distributions Explaining precipitation probability distributions Precipitation buoyancy relationships Understanding deep convection to improve climate models Example: Explaining deep inflow\u2014 what it is, why it matters \ufeff&#8230;<\/p>\n","protected":false},"author":20,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates-simple-content-page\/general-content-template.php","meta":{"footnotes":""},"class_list":["post-799","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/pages\/799","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/comments?post=799"}],"version-history":[{"count":3,"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/pages\/799\/revisions"}],"predecessor-version":[{"id":835,"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/pages\/799\/revisions\/835"}],"wp:attachment":[{"href":"https:\/\/atmos.ucla.edu\/csi\/wp-json\/wp\/v2\/media?parent=799"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}