Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models
Author:
Affiliation:
1. Atmospheric Sciences Research Center State University of New York Albany NY USA
2. NASA Goddard Institute for Space Studies New York NY USA
3. Center for Climate Systems Research New York NY USA
Funder
National Aeronautics and Space Administration
New York State Energy Research and Development Authority
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL098551
Reference57 articles.
1. Aerosols, Cloud Microphysics, and Fractional Cloudiness
2. Impact of heterogeneous sulfate formation at mineral dust surfaces on aerosol loads and radiative forcing in the Goddard Institute for Space Studies general circulation model
3. Historical (1850–2014) Aerosol Evolution and Role on Climate Forcing Using the GISS ModelE2.1 Contribution to CMIP6
4. MATRIX (Multiconfiguration Aerosol TRacker of mIXing state): an aerosol microphysical module for global atmospheric models
5. Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model
Cited by 6 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. Pan-Arctic methanesulfonic acid aerosol: source regions, atmospheric drivers, and future projections;npj Climate and Atmospheric Science;2024-07-13
2. Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries;Earth Systems and Environment;2024-07-03
3. Hidden danger: The long-term effect of ultrafine particles on mortality and its sociodemographic disparities in New York State;Journal of Hazardous Materials;2024-06
4. Characterizing the spatio-temporal distribution, detection, and prediction of aerosol atmospheric rivers on a global scale;Journal of Environmental Management;2024-02
5. Improving BC Mixing State and CCN Activity Representation With Machine Learning in the Community Atmosphere Model Version 6 (CAM6);Journal of Advances in Modeling Earth Systems;2024-01
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