{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","intvolume":"        15","has_accepted_license":"1","publication_status":"published","date_updated":"2023-11-28T12:04:42Z","ddc":["550"],"keyword":["General Earth and Planetary Sciences","Environmental Chemistry","Global and Planetary Change"],"article_number":"e2022MS003391","status":"public","acknowledgement":"The research of B.K. is supported in part by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (RGPIN-04246-2020). This research was conducted during the visits of P.M. Krishna to the Center for Prototype Climate Models at NYU Abu Dhabi and University of Victoria from November 2018 to June 2019 and July 2019 and October 2019, respectively. The authors are very grateful to the three anonymous reviewers who provided very thoughtful and constructive comments during the review process that helped greatly improve and shape the final version of the manuscript.","article_processing_charge":"Yes","date_published":"2023-11-01T00:00:00Z","quality_controlled":"1","title":"A shallow‐deep unified stochastic mass flux cumulus parameterization in the single column community climate model","volume":15,"type":"journal_article","_id":"14564","doi":"10.1029/2022ms003391","file_date_updated":"2023-11-20T11:29:16Z","file":[{"checksum":"e30329dd985559de0ddc7021ca7382b4","file_size":6435697,"creator":"dernst","file_id":"14582","date_created":"2023-11-20T11:29:16Z","access_level":"open_access","success":1,"relation":"main_file","date_updated":"2023-11-20T11:29:16Z","file_name":"2023_JAMES_Khoulder.pdf","content_type":"application/pdf"}],"oa":1,"date_created":"2023-11-20T09:18:21Z","publisher":"American Geophysical Union","author":[{"last_name":"Khouider","full_name":"Khouider, B.","first_name":"B."},{"first_name":"BIDYUT B","orcid":"0000-0001-8602-3083","last_name":"GOSWAMI","full_name":"GOSWAMI, BIDYUT B","id":"3a4ac09c-6d61-11ec-bf66-884cde66b64b"},{"full_name":"Phani, R.","last_name":"Phani","first_name":"R."},{"first_name":"A. J.","full_name":"Majda, A. J.","last_name":"Majda"}],"year":"2023","language":[{"iso":"eng"}],"issue":"11","tmp":{"image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"},"license":"https://creativecommons.org/licenses/by-nc/4.0/","day":"01","article_type":"original","month":"11","department":[{"_id":"CaMu"}],"publication_identifier":{"eissn":["1942-2466"]},"citation":{"ista":"Khouider B, GOSWAMI BB, Phani R, Majda AJ. 2023. A shallow‐deep unified stochastic mass flux cumulus parameterization in the single column community climate model. Journal of Advances in Modeling Earth Systems. 15(11), e2022MS003391.","ama":"Khouider B, GOSWAMI BB, Phani R, Majda AJ. A shallow‐deep unified stochastic mass flux cumulus parameterization in the single column community climate model. <i>Journal of Advances in Modeling Earth Systems</i>. 2023;15(11). doi:<a href=\"https://doi.org/10.1029/2022ms003391\">10.1029/2022ms003391</a>","apa":"Khouider, B., GOSWAMI, B. B., Phani, R., &#38; Majda, A. J. (2023). A shallow‐deep unified stochastic mass flux cumulus parameterization in the single column community climate model. <i>Journal of Advances in Modeling Earth Systems</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2022ms003391\">https://doi.org/10.1029/2022ms003391</a>","chicago":"Khouider, B., BIDYUT B GOSWAMI, R. Phani, and A. J. Majda. “A Shallow‐deep Unified Stochastic Mass Flux Cumulus Parameterization in the Single Column Community Climate Model.” <i>Journal of Advances in Modeling Earth Systems</i>. American Geophysical Union, 2023. <a href=\"https://doi.org/10.1029/2022ms003391\">https://doi.org/10.1029/2022ms003391</a>.","short":"B. Khouider, B.B. GOSWAMI, R. Phani, A.J. Majda, Journal of Advances in Modeling Earth Systems 15 (2023).","ieee":"B. Khouider, B. B. GOSWAMI, R. Phani, and A. J. Majda, “A shallow‐deep unified stochastic mass flux cumulus parameterization in the single column community climate model,” <i>Journal of Advances in Modeling Earth Systems</i>, vol. 15, no. 11. American Geophysical Union, 2023.","mla":"Khouider, B., et al. “A Shallow‐deep Unified Stochastic Mass Flux Cumulus Parameterization in the Single Column Community Climate Model.” <i>Journal of Advances in Modeling Earth Systems</i>, vol. 15, no. 11, e2022MS003391, American Geophysical Union, 2023, doi:<a href=\"https://doi.org/10.1029/2022ms003391\">10.1029/2022ms003391</a>."},"oa_version":"Published Version","abstract":[{"text":"Cumulus parameterization (CP) in state‐of‐the‐art global climate models is based on the quasi‐equilibrium assumption (QEA), which views convection as the action of an ensemble of cumulus clouds, in a state of equilibrium with respect to a slowly varying atmospheric state. This view is not compatible with the organization and dynamical interactions across multiple scales of cloud systems in the tropics and progress in this research area was slow over decades despite the widely recognized major shortcomings. Novel ideas on how to represent key physical processes of moist convection‐large‐scale interaction to overcome the QEA have surged recently. The stochastic multicloud model (SMCM) CP in particular mimics the dynamical interactions of multiple cloud types that characterize organized tropical convection. Here, the SMCM is used to modify the Zhang‐McFarlane (ZM) CP by changing the way in which the bulk mass flux and bulk entrainment and detrainment rates are calculated. This is done by introducing a stochastic ensemble of plumes characterized by randomly varying detrainment level distributions based on the cloud area fraction of the SMCM. The SMCM is here extended to include shallow cumulus clouds resulting in a unified shallow‐deep CP. The new stochastic multicloud plume CP is validated against the control ZM scheme in the context of the single column Community Climate Model of the National Center for Atmospheric Research using data from both tropical ocean and midlatitude land convection. Some key features of the SMCM CP such as it capability to represent the tri‐modal nature of organized convection are emphasized.","lang":"eng"}],"publication":"Journal of Advances in Modeling Earth Systems"}