Long-term changes of surface total alkalinity and its driving mechanisms in the North Indian Ocean
Year: 2024
Type: article
Abstract: This product is a result of the use of a decision tree-based advanced machine learning algorithm (XGB) combined with an ensemble approach to predict the surface total alkalinity (TA) of the north Indian Ocean (NIO) using ship-based observations collected from different sources for the period 1978-2019 and a reanalysis data product. The ensemble approach enables the development of the best high-resolution (1/12) surface TA estimates (INCOIS_TA) with an uncertainty map. This data has a monthly frequency and ranges from 1993 to 2020. **Users should use the latest version, V2. The previous version has been deprecated.
Author: Joshi, A.P.
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911787068