A Machine Learning‐Based Global Atmospheric Forecast Model-Reference-Cited by-同舟云学术

A Machine Learning‐Based Global Atmospheric Forecast Model

Published:2020-05-09 Issue:9 Volume:47 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Arcomano Troy¹^ORCID,Szunyogh Istvan¹^ORCID,Pathak Jaideep²,Wikner Alexander²,Hunt Brian R.³,Ott Edward⁴

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. Department of Mathematics University of Maryland College Park MD USA

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

Funder

Defense Advanced Research Projects Agency

Office of Naval Research

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020GL087776

Reference19 articles.

1. Challenges and design choices for global weather and climate models based on machine learning

2. Random Graphs

3. Global reanalysis: Goodby ERA‐interim, hello ERA5;Hersbach H.;ECMWF Newsletter,2019

4. Jaeger H.(2001).The “echo state” approach to analyzing and training recurrent neural networks. GMD Report 148 German National Research Center for Information Technology.

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