Global Surface Ocean Total Alkalinity Estimation: The Machine Learning Approach-Reference-Cited by-同舟云学术

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Global Surface Ocean Total Alkalinity Estimation: The Machine Learning Approach

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Shaik Ibrahim¹^ORCID,Yadav Sandesh²,Krishna Gowtham³,Mahesh P.¹^ORCID,Nagamani P. V.¹^ORCID,Begum S. K.⁴,Manmode Yash²^ORCID,Srinivasa Rao G.¹

Affiliation:

1. National Remote Sensing Center (NRSC), Hyderabad, India

2. G. H. Raisoni Institute of Engineering and Technology, Nagpur, India

3. School of Spatial Information Technology, JNTU-Kakinada, Kakinada, India

4. Department of Geophysics, Andhra University, Visakhapatnam, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10522796.pdf?arnumber=10522796

Reference19 articles.

1. The Oceanic Sink for Anthropogenic CO 2

2. Ocean Acidification: The Other CO2 Problem

3. An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021

4. An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020

5. GLODAPv2.2019 – an update of GLODAPv2

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