Improved estimation of global surface ocean total alkalinity fields using in-situ and satellite observations-Reference-Cited by-同舟云学术

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Improved estimation of global surface ocean total alkalinity fields using in-situ and satellite observations

Published:2024-08-21 Issue:9 Volume:15 Page:964-976
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Shaik Ibrahim¹^ORCID,Manmode Yash²,Vamsi Krishna Kande³,Yadav Sandesh²,M. Haritha¹,P. Mahesh¹,Krishna Gowtham⁴,Nagamani P. V.¹,Rao G. Srinivasa¹,Begum S. K.⁵,Srinivasa Rao M.⁵

Affiliation:

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

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

3. Indian Institute of Technology –Madras (IIT-M), Chennai, India

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

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

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2024.2391091

Reference31 articles.

1. Global monthly sea surface nitrate fields estimated from remotely sensed sea surface temperature, chlorophyll, and modeled mixed layer depth

2. Ocean carbon cycling in the Indian Ocean: 1. Spatiotemporal variability of inorganic carbon and air-sea CO2gas exchange

3. Alkalinity changes generated by phytoplankton growth1

4. A global monthly climatology of total alkalinity: a neural network approach

5. Alkalinity distribution in the western North Atlantic Ocean margins

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