Improving Convection Trigger Functions in Deep Convective Parameterization Schemes Using Machine Learning
Author:
Affiliation:
1. Brookhaven National Laboratory Upton NY USA
2. School of Marine and Atmospheric Sciences Stony Brook University Stony Brook NY USA
3. Lawrence Livermore National Laboratory Livermore CA USA
Funder
U.S. Department of Energy
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020MS002365
Reference72 articles.
1. A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing
2. The Cumulus Parameterization Problem: Past, Present, and Future
3. Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I
4. A mass-flux convection scheme for regional and global models
Cited by 25 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. Who will sign a double tax treaty next? A prediction based on economic determinants and machine learning algorithms;Economic Modelling;2024-10
2. Mesoscale air motion and thermodynamics predict heavy hourly U.S. precipitation;Communications Earth & Environment;2024-08-30
3. Deep-learning-driven simulations of boundary layer clouds over the Southern Great Plains;Geoscientific Model Development;2024-08-27
4. A machine learning based deep convective trigger for climate models;Climate Dynamics;2024-07-10
5. Enhancing stormwater network overflow prediction: investigation of ensemble learning models;Acta Geophysica;2024-07-10
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