Assimilation of satellite observation in Ocean general circulation model to reconstruct ocean state parameters
- Assimilation of satellite derived temp, salinity and sealevel is needed to improve the accuracy ocean model simulations of temp, salinity and currents and their vertical profiles.
- Altimeters routinely provide information regarding sealevel, wind and wave information.
- Altimeter derived sealevel can be assimilated using variational techniques such as 3D var and 4D var in ocean circulation models such as MOM, ROMS, MITGCM etc.
- Altimeter derived significant wave height can be assimilated in ocean wave models such as SWAN, WAVEWATCH etc., for improved prediction of waves along the indian coasts.
Development of real time coastal ocean analysis system through ocean general circulation model coupled with ocean Biogeochemical flux model
Tide and current interaction are very significant in the coastal ocean regions which are being neglected in most of the coastal circulation model studies. Indian has vast Exclusive Economic Zone (EEZ) with tremendous influence by anthropogenic activities including industrial and navigation activities. Coastal ecosystem is under stress. It is essential to monitor and maintain the health of the marine flora and fauna. In this regard, satellite observations combining with ocean general circulation model to be used for understanding regional circulation and ecosystem dynamics. 1. Establishing regional coastal circulation model driven by global ocean climate model analysis at the open boundaries along with tides and atmospheric forcing. 2. Establishment of Ocean Ecosystem Model and satellite data integration for monitoring health of the marine ecosystem in Indian EEZ. 3. Latest Ocean Circulation Models such as MOM5 have capabilities to simulate Ocean Circulation parameters including biogeochemical models available in their native configuration. 4. Biogeochemical Flux Model can simulate the biogeochemical processes for improved understanding of marine ecosystem variability.
Use of satellite observation for modeling and assessing regional carbon cycle for the Indian region
Carbon dioxide is a major greenhouse gas and various scientific investigations have revealed that increase in the concentration of CO2 is an important contributor to climate change. Understanding the carbon (C) sink or source potential of ecosystems and their variability in relation to climatic drivers are critical to elucidate and quantify climate-carbon feedbacks. Using satellite data inputs of NDVI, land-use-land-cover, CASA Terrestrial ecosystem model was used to simulate the terrestrial carbon budget over India for the period 1981-2016. GEOS-Chem Model was implemented to understand the atmospheric CO2 variability over India.
Regional monitoring of Trace and Green house gases (NRSC/NESAC)
Trace and green house gases in earth atmosphere are important as they affect both air quality and radiation balance of the earth atmosphere system. Anthropogenic activities influence abundance of many of these gases in the atmosphere. In view of this, it is necessary to have continuous monitoring of these gases and changes in their concentrations over different regions to understand anthropogenic impacts on global climate change.
