A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model-Reference-Cited by-同舟云学术

A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model

Author:

Arcomano Troy¹^ORCID,Szunyogh Istvan¹^ORCID,Wikner Alexander²,Pathak Jaideep³,Hunt Brian R.⁴,Ott Edward²⁵

Affiliation:

1. Department of Atmospheric Sciences Texas A&M University College Station TX USA

2. Department of Physics University of Maryland College Park MD USA

3. Lawrence Berkeley National Laboratory Berkeley CA USA

4. Institute for Physical Science and Technology University of Maryland College Park MD USA

5. Department of Electrical and Computer Engineering University of Maryland College Park MD USA

Funder

Defense Advanced Research Projects Agency

Office of Naval Research

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

Reference44 articles.

Cited by 26 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