Satellite-Based Global Sea Surface Oxygen Mapping and Interpretation with Spatiotemporal Machine Learning
Author:
Affiliation:
1. School of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou 310027, China
2. Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou 310028, China
Funder
National Key Research and Development Program of China
Key Research and Development Program of Zhejiang Province
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
Environmental Chemistry,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c08833
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4. Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6
5. Deconinck, W.; Hamrud, M.; Kuehnlein, C.; Accelerating Extreme-Scale Numerical Weather Prediction. Parallel Processing And Applied Mathematics─11th International Conference, PPAM 2015; PT II, Krakow, Poland, 2016; Wyrzykowski, R., Deelman, E., Dongarra, J. J., Karczewski, K., Kitowski, J., Wiatr, K., Eds. Krakow, Poland, 2016; pp 583–593.
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