Our People
Deep S. Banerjee
Modelling Scientist
EO Data-Model Evaluation
Research interests
I am interested in Numerical Ocean Models (Biogeo chemical and physical), Data Assimilation, Ocean Observation networks and model validation and Machine learning. I am presently developing an Artificial Neural Network-based model in the Atlantic-European North West Shelf domain to improve biogeochemical model forecasts and analyses, with the ultimate objective of providing better predictions related to harmful events such as eutrophication.
Recent publications
Bivariate sea-ice assimilation for global ocean Analysis/Reanalysis. 2023-02-22
DOI: https://doi.org/10.5194/egusphere-2023-254
Copernicus Ocean State Report, issue 6. 2022-08-31
DOI: http://dx.doi.org/10.1080/1755876x.2022.2095169
The Atlantic Meridional Overturning Circulation forcing the mean sea level in the Mediterranean Sea through the Gibraltar transport . 2022-03-28
DOI: http://dx.doi.org/10.5194/egusphere-egu22-10212
Are ocean-moored buoys redundant for prediction of Indian monsoon?. 2021-08
DOI: http://dx.doi.org/10.1007/s00703-021-00792-3
High-Resolution Operational Ocean Forecast and Reanalysis System for the Indian Ocean. 2020-08-01
DOI: http://dx.doi.org/10.1175/bams-d-19-0083.1
Ensemble based regional ocean data assimilation system for the Indian Ocean: Implementation and evaluation. 2019
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85072578789&partnerID=MN8TOARS
Impact of dynamical representational errors on an Indian Ocean ensemble data assimilation system. 2019
DOI: http://www.scopus.com/inward/record.url?eid=2-s2.0-85072556315&partnerID=MN8TOARS
LETKF-ROMS: An improved predictability system for the Indian Ocean. 2018-11-01
https://incois.gov.in/documents/rain_reports/ESSO-INCOIS-MDG-TR-03_(2018).pdf
