{"title":"社区大气模式第6版及其超参数化版本在云和辐射卫星观测模拟中的评价","authors":"Siyu Yue, Yang Xia, Zengyuan Guo","doi":"10.1029/2024EA004137","DOIUrl":null,"url":null,"abstract":"<p>Cloud plays a crucial role in modulating the energy budget of the earth-atmosphere system. Cloud-resolving models have been demonstrated to be capable of better simulating the microphysical processes within clouds. This study assesses the super-parameterized version of Community Atmosphere Model Version 6 (SPCAM6) in simulating clouds, radiation, and precipitation. The results indicate that SPCAM6 effectively reduces the overestimation of cloud amount in CAM6, particularly in equatorial and mid-high latitude regions. The improvement in cloud amount simulation further enhances the simulation of cloud radiative forcing and precipitation. Through further research on the North Pacific, Southern Ocean regions and Maritime Continent, it is found that with the coupling of the cloud-resolving model, cloud amount at high, middle, and low levels all exhibits a decreasing trend. However, liquid water content and ice water content (IWC) display different characteristics. Despite a decrease in cloud amount, IWC increases due to the heterogeneity of IWC in sub-grid scales, which is closer to actual observations. SPCAM6 can simulate sub-grid in-cloud processes and capture the in-cloud heterogeneity distribution, showing potential as a tool for understanding sub-grid cloud processes.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 10","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA004137","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Community Atmosphere Model Version 6 and Its Super-Parameterized Version in Simulation of Cloud and Radiation Using Satellite Observation\",\"authors\":\"Siyu Yue, Yang Xia, Zengyuan Guo\",\"doi\":\"10.1029/2024EA004137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Cloud plays a crucial role in modulating the energy budget of the earth-atmosphere system. Cloud-resolving models have been demonstrated to be capable of better simulating the microphysical processes within clouds. This study assesses the super-parameterized version of Community Atmosphere Model Version 6 (SPCAM6) in simulating clouds, radiation, and precipitation. The results indicate that SPCAM6 effectively reduces the overestimation of cloud amount in CAM6, particularly in equatorial and mid-high latitude regions. The improvement in cloud amount simulation further enhances the simulation of cloud radiative forcing and precipitation. Through further research on the North Pacific, Southern Ocean regions and Maritime Continent, it is found that with the coupling of the cloud-resolving model, cloud amount at high, middle, and low levels all exhibits a decreasing trend. However, liquid water content and ice water content (IWC) display different characteristics. Despite a decrease in cloud amount, IWC increases due to the heterogeneity of IWC in sub-grid scales, which is closer to actual observations. SPCAM6 can simulate sub-grid in-cloud processes and capture the in-cloud heterogeneity distribution, showing potential as a tool for understanding sub-grid cloud processes.</p>\",\"PeriodicalId\":54286,\"journal\":{\"name\":\"Earth and Space Science\",\"volume\":\"12 10\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA004137\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earth and Space Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024EA004137\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth and Space Science","FirstCategoryId":"89","ListUrlMain":"https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024EA004137","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
Evaluation of Community Atmosphere Model Version 6 and Its Super-Parameterized Version in Simulation of Cloud and Radiation Using Satellite Observation
Cloud plays a crucial role in modulating the energy budget of the earth-atmosphere system. Cloud-resolving models have been demonstrated to be capable of better simulating the microphysical processes within clouds. This study assesses the super-parameterized version of Community Atmosphere Model Version 6 (SPCAM6) in simulating clouds, radiation, and precipitation. The results indicate that SPCAM6 effectively reduces the overestimation of cloud amount in CAM6, particularly in equatorial and mid-high latitude regions. The improvement in cloud amount simulation further enhances the simulation of cloud radiative forcing and precipitation. Through further research on the North Pacific, Southern Ocean regions and Maritime Continent, it is found that with the coupling of the cloud-resolving model, cloud amount at high, middle, and low levels all exhibits a decreasing trend. However, liquid water content and ice water content (IWC) display different characteristics. Despite a decrease in cloud amount, IWC increases due to the heterogeneity of IWC in sub-grid scales, which is closer to actual observations. SPCAM6 can simulate sub-grid in-cloud processes and capture the in-cloud heterogeneity distribution, showing potential as a tool for understanding sub-grid cloud processes.
期刊介绍:
Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.