A Convolutional Neural Network to Reconstruct Ocean Surface PAR from Physical Predictors-Reference-Cited by-同舟云学术

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A Convolutional Neural Network to Reconstruct Ocean Surface PAR from Physical Predictors

Published:2024-02-01 Issue: Volume:22 Page:1-6
ISSN:
Container-title:2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
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Author:

Frouin Robert¹,Tan Jing¹,Liu Shuo¹

Affiliation:

1. University of California San Diego,Scripps Institution of Oceanography,La Jolla,California

Funder

National Aeronautics and Space Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467177/10467211/10467589.pdf?arnumber=10467589

Reference12 articles.

1. Light and photosynthesis in aquatic ecosystems

2. Satellite Radiation Products for Ocean Biology and Biogeochemistry: Needs, State-of-the-Art, Gaps, Development Priorities, and Opportunities

3. The NASA EPIC/DSCOVR Ocean PAR Product

4. The SeaWiFS PAR product, algorithm updates for the fourth SeaWiFS data reprocessing;Frouin;NASA,2003

5. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

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