A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing-Reference-Cited by-同舟云学术

A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing

Published:2022 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Duffy Kate¹^ORCID,Vandal Thomas J.²,Wang Weile³,Nemani Ramakrishna R.⁴^ORCID,Ganguly Auroop R.⁵^ORCID

Affiliation:

1. Sustainability and Data Sciences Laboratory, Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115 USA, also with the NASA Ames Research Center, Mountain View, CA 94035 USA, and also with the Bay Area Environmental Research Institute, Moffett Field, CA 94035 USA

2. NASA Ames Research Center, Mountain View, CA 94035 USA, and also with the Bay Area Environmental Research Institute, Moffett Field, CA 94035 USA.

3. NASA Ames Research Center, Mountain View, CA 94035 USA, and also with the Department of Applied Environmental Science, California State University, Seaside, CA 93955 USA.

4. NASA Ames Research Center, Mountain View, CA 94035 USA.

5. Sustainability and Data Sciences Laboratory, Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115 USA.

Funder

NASA Earth eXchange NEX

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09769745.pdf?arnumber=9769745

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