{"title":"大气环流模型模拟的三维金星云层结构","authors":"Wencheng D. Shao, João M. Mendonça, Longkang Dai","doi":"arxiv-2407.15966","DOIUrl":null,"url":null,"abstract":"The clouds have a great impact on Venus's energy budget and climate\nevolution, but its three-dimensional structure is still not well understood.\nHere we incorporate a simple Venus cloud physics scheme into a flexible GCM to\ninvestigate the three-dimensional cloud spatial variability. Our simulations\nshow good agreement with observations in terms of the vertical profiles of\nclouds and H2SO4 vapor. H2O vapor is overestimated above the clouds due to\nefficient transport in the cloud region. The cloud top decreases as latitude\nincreases, qualitatively consistent with Venus Express observations. The\nunderlying mechanism is the combination of H2SO4 chemical production and\nmeridional circulation. The mixing ratios of H2SO4 at 50-60 km and H2O vapors\nin the main cloud deck basically exhibit maxima around the equator, due to the\neffect of temperature's control on the saturation vapor mixing ratios of the\ntwo species. The cloud mass distribution is subject to both H2SO4 chemical\nproduction and dynamical transport and shows a pattern that peaks around the\nequator in the upper cloud while peaks at mid-high latitudes in the middle\ncloud. At low latitudes, H2SO4 and H2O vapors, cloud mass loading and acidity\nshow semidiurnal variations at different altitude ranges, which can be\nvalidated against future missions. Our model emphasizes the complexity of the\nVenus climate system and the great need for more observations and simulations\nto unravel its spatial variability and underlying atmospheric and/or geological\nprocesses.","PeriodicalId":501423,"journal":{"name":"arXiv - PHYS - Space Physics","volume":"2017 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-Dimensional Venus Cloud Structure Simulated by a General Circulation Model\",\"authors\":\"Wencheng D. Shao, João M. Mendonça, Longkang Dai\",\"doi\":\"arxiv-2407.15966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The clouds have a great impact on Venus's energy budget and climate\\nevolution, but its three-dimensional structure is still not well understood.\\nHere we incorporate a simple Venus cloud physics scheme into a flexible GCM to\\ninvestigate the three-dimensional cloud spatial variability. Our simulations\\nshow good agreement with observations in terms of the vertical profiles of\\nclouds and H2SO4 vapor. H2O vapor is overestimated above the clouds due to\\nefficient transport in the cloud region. The cloud top decreases as latitude\\nincreases, qualitatively consistent with Venus Express observations. The\\nunderlying mechanism is the combination of H2SO4 chemical production and\\nmeridional circulation. The mixing ratios of H2SO4 at 50-60 km and H2O vapors\\nin the main cloud deck basically exhibit maxima around the equator, due to the\\neffect of temperature's control on the saturation vapor mixing ratios of the\\ntwo species. The cloud mass distribution is subject to both H2SO4 chemical\\nproduction and dynamical transport and shows a pattern that peaks around the\\nequator in the upper cloud while peaks at mid-high latitudes in the middle\\ncloud. At low latitudes, H2SO4 and H2O vapors, cloud mass loading and acidity\\nshow semidiurnal variations at different altitude ranges, which can be\\nvalidated against future missions. Our model emphasizes the complexity of the\\nVenus climate system and the great need for more observations and simulations\\nto unravel its spatial variability and underlying atmospheric and/or geological\\nprocesses.\",\"PeriodicalId\":501423,\"journal\":{\"name\":\"arXiv - PHYS - Space Physics\",\"volume\":\"2017 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Space Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.15966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Space Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.15966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three-Dimensional Venus Cloud Structure Simulated by a General Circulation Model
The clouds have a great impact on Venus's energy budget and climate
evolution, but its three-dimensional structure is still not well understood.
Here we incorporate a simple Venus cloud physics scheme into a flexible GCM to
investigate the three-dimensional cloud spatial variability. Our simulations
show good agreement with observations in terms of the vertical profiles of
clouds and H2SO4 vapor. H2O vapor is overestimated above the clouds due to
efficient transport in the cloud region. The cloud top decreases as latitude
increases, qualitatively consistent with Venus Express observations. The
underlying mechanism is the combination of H2SO4 chemical production and
meridional circulation. The mixing ratios of H2SO4 at 50-60 km and H2O vapors
in the main cloud deck basically exhibit maxima around the equator, due to the
effect of temperature's control on the saturation vapor mixing ratios of the
two species. The cloud mass distribution is subject to both H2SO4 chemical
production and dynamical transport and shows a pattern that peaks around the
equator in the upper cloud while peaks at mid-high latitudes in the middle
cloud. At low latitudes, H2SO4 and H2O vapors, cloud mass loading and acidity
show semidiurnal variations at different altitude ranges, which can be
validated against future missions. Our model emphasizes the complexity of the
Venus climate system and the great need for more observations and simulations
to unravel its spatial variability and underlying atmospheric and/or geological
processes.