Earth, Atmosphere & Environment Sciences
Title : | Estimation of P(CO2) and air-sea CO2 flux using remote sensing observations and advanced machine learning techniques |
Area of research : | Earth, Atmosphere & Environment Sciences |
Focus area : | Ocean science |
Principal Investigator : | Dr. Mihir Kumar Dash, IIT Kharagpur, West Bengal |
Timeline Start Year : | 2022 |
Timeline End Year : | 2025 |
Details
Executive Summary : | North Indian Ocean has been known as net CO2 sink. Many studies have been conducted to
understand and quantify the variability of CO2 pathway in the Arabian Sea. However, its
eastern counterpart, Bay of Bengal (BoB), is explored less (George et al., 1994; Sarma et al.,
2011; Shanthi et al., 2016). Moreover, BoB is a semi-enclosed basin, receives huge riverine
(freshwater and sediments) discharge and prone to cyclones. Poor sampling over this region
remains a constraint to explore the sea – air CO2 exchange. However, recent satellite-based
approaches for assessments of surface water partial pressure of CO2 (pCO2) distributions and
air-sea fluxes of CO2 have received great momentum due to high quality observations and are
potentially powerful to provide broad spatial coverage and extended temporal coverage as well. |
Total Budget (INR): | 41,96,600 |
Organizations involved