Modeling the seasonal variability and the governing factors of Ocean Acidification over the Bay of Bengal region
A.P Joshi, H.V Warrior

TL;DR
This study models the seasonal variability of ocean acidification in the Bay of Bengal, identifying key factors like SST, SSS, and DIC that influence pH levels and highlighting the region's complex acidification dynamics.
Contribution
It provides a detailed analysis of the governing factors affecting pH seasonality in the Bay of Bengal using sensitivity experiments, emphasizing the region's unique stratification effects.
Findings
SST, SSS, and DIC are primary drivers of pH variability.
Stratification and barrier layer thickness influence surface pH.
Northern Bay of Bengal is more alkaline than the southern part.
Abstract
The Bay of Bengal (BoB) is a high recipient of freshwater flux from rivers and precipitation, making the region strongly stratified. The strong stratification results in a thick barrier layer formation, which inhibits vertical mixing making this region a low-productive zone. In the present study, we attempt to model the pH of the BoB region and understand the role of different governing factors such as sea-surface temperature (SST), sea-surface salinity (SSS), dissolved inorganic carbon (DIC), and total alkalinity (TALK) on the seasonality of sea-surface pH. We run a set of sensitivity experiments to understand the role of each of the governing factors. The results show that the SST, SSS, and DIC are the principal drivers affecting the sea-surface pH, while TALK plays a buffering role. The SST and DIC are consistently found to be opposite to each other. The pre-monsoon season (MAM) has…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOcean Acidification Effects and Responses · Marine and coastal ecosystems · Marine and fisheries research
