{"title":"将干燥环境对流参数化扩展到与潮湿湍流耦合以及 GRIST 模型中的基线评估","authors":"Xiaohan Li, Wenchao Chu, Yi Zhang, Yiming Wang","doi":"10.1002/qj.4763","DOIUrl":null,"url":null,"abstract":"This study presents an extension of a dry‐environment convection scheme (Tiedtke–Bechtold) to couple with a boundary‐layer moist turbulence scheme. The deep and shallow convective updraught is modified to develop in a moist environment and the large‐scale budget of cloud condensate takes account of the influence of compensation subsidence. An ambiguous layer is introduced in the sub‐cloud layer transport of shallow convection to mimic the non‐local transport that is ignored in the moist local turbulence scheme. Long‐term global simulation suggests that the modified convection and moist turbulence improve low cloud and short‐wave cloud radiative forcing. This includes a more realistic climatological structure of stratocumulus‐to‐cumulus transition and ameliorated biases in liquid water path. For short to mid‐term hindcasts in June 2021, the modified convection coupled with moist turbulence mitigates some regional over‐forecasts of precipitation. They improve the forecast ability for light and moderate precipitation. The modified model still retains the capability to capture the diurnal features of continental rainfall.","PeriodicalId":49646,"journal":{"name":"Quarterly Journal of the Royal Meteorological Society","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extending a dry‐environment convection parameterization to couple with moist turbulence and a baseline evaluation in the GRIST model\",\"authors\":\"Xiaohan Li, Wenchao Chu, Yi Zhang, Yiming Wang\",\"doi\":\"10.1002/qj.4763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents an extension of a dry‐environment convection scheme (Tiedtke–Bechtold) to couple with a boundary‐layer moist turbulence scheme. The deep and shallow convective updraught is modified to develop in a moist environment and the large‐scale budget of cloud condensate takes account of the influence of compensation subsidence. An ambiguous layer is introduced in the sub‐cloud layer transport of shallow convection to mimic the non‐local transport that is ignored in the moist local turbulence scheme. Long‐term global simulation suggests that the modified convection and moist turbulence improve low cloud and short‐wave cloud radiative forcing. This includes a more realistic climatological structure of stratocumulus‐to‐cumulus transition and ameliorated biases in liquid water path. For short to mid‐term hindcasts in June 2021, the modified convection coupled with moist turbulence mitigates some regional over‐forecasts of precipitation. They improve the forecast ability for light and moderate precipitation. The modified model still retains the capability to capture the diurnal features of continental rainfall.\",\"PeriodicalId\":49646,\"journal\":{\"name\":\"Quarterly Journal of the Royal Meteorological Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quarterly Journal of the Royal Meteorological Society\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1002/qj.4763\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quarterly Journal of the Royal Meteorological Society","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1002/qj.4763","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Extending a dry‐environment convection parameterization to couple with moist turbulence and a baseline evaluation in the GRIST model
This study presents an extension of a dry‐environment convection scheme (Tiedtke–Bechtold) to couple with a boundary‐layer moist turbulence scheme. The deep and shallow convective updraught is modified to develop in a moist environment and the large‐scale budget of cloud condensate takes account of the influence of compensation subsidence. An ambiguous layer is introduced in the sub‐cloud layer transport of shallow convection to mimic the non‐local transport that is ignored in the moist local turbulence scheme. Long‐term global simulation suggests that the modified convection and moist turbulence improve low cloud and short‐wave cloud radiative forcing. This includes a more realistic climatological structure of stratocumulus‐to‐cumulus transition and ameliorated biases in liquid water path. For short to mid‐term hindcasts in June 2021, the modified convection coupled with moist turbulence mitigates some regional over‐forecasts of precipitation. They improve the forecast ability for light and moderate precipitation. The modified model still retains the capability to capture the diurnal features of continental rainfall.
期刊介绍:
The Quarterly Journal of the Royal Meteorological Society is a journal published by the Royal Meteorological Society. It aims to communicate and document new research in the atmospheric sciences and related fields. The journal is considered one of the leading publications in meteorology worldwide. It accepts articles, comprehensive review articles, and comments on published papers. It is published eight times a year, with additional special issues.
The Quarterly Journal has a wide readership of scientists in the atmospheric and related fields. It is indexed and abstracted in various databases, including Advanced Polymers Abstracts, Agricultural Engineering Abstracts, CAB Abstracts, CABDirect, COMPENDEX, CSA Civil Engineering Abstracts, Earthquake Engineering Abstracts, Engineered Materials Abstracts, Science Citation Index, SCOPUS, Web of Science, and more.