Evaluating the Conservation of Energy Variables in Simulations of Deep Moist Convection
Author:
Affiliation:
1. a Department of Meteorology, Naval Postgraduate School, Monterey, California
2. b Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana
Abstract
Funder
Division of Atmospheric and Geospace Sciences
Biological and Environmental Research
Publisher
American Meteorological Society
Subject
Atmospheric Science
Link
https://journals.ametsoc.org/downloadpdf/journals/atsc/78/10/JAS-D-20-0351.1.xml
Reference82 articles.
1. Are supercells resistant to entrainment because of their rotation?;Peters;J. Atmos. Sci.,2020c
2. Sticky thermals: Evidence for a dominant balance between buoyancy and drag in cloud updrafts;Romps;J. Atmos. Sci.,2015
3. The computation of equivalent potential temperature;Bolton;Mon. Wea. Rev.,1980
4. Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian climate center general-circulation model;Zhang;Atmos.–Ocean,1995
5. The stocastic parcel model: A deterministic parameterization of stochastically entraining convection;Romps;J. Adv. Model. Earth Syst.,2016
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. How Does Vertical Wind Shear Influence Updraft Characteristics and Hydrometeor Distributions in Supercell Thunderstorms?;Monthly Weather Review;2024-07
2. Static Energy Deserves Greater Emphasis in the Meteorology Community;Bulletin of the American Meteorological Society;2023-10
3. An Analytic Formula for Entraining CAPE in Midlatitude Storm Environments;Journal of the Atmospheric Sciences;2023-09
4. Entrainment Makes Pollution More Likely to Weaken Deep Convective Updrafts Than Invigorate Them;Geophysical Research Letters;2023-06-16
5. Biases in CMIP6 Historical U.S. Severe Convective Storm Environments Driven by Biases in Mean‐State Near‐Surface Moist Static Energy;Geophysical Research Letters;2022-12-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3