Back close

Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Alka Singh
Enhancing the Quantification of Wetland Methane Emissions by Data Assimilation and Remote Sensing Techniques to Improve Understanding of the Terrestrial Carbon Cycle

The project aims at improving the  representation of methane production, removal and transport processes of tropical wetlands in a wetland methane biogeochemical model. It will advance mapping of wetland dynamics through models and remote sensing. The project will produce advanced  regional estimates of methane flux from important wetland areas of tropical regions.

Amrita Team Members: Rajarajan V

Name of the International Collaborators

  • Prof. Peter Rayner, Univ of Melbourne Australia
  • Dr. Philippe Peylin, LSCE IPSL France

Publication Details

  • Rajarajan got awarded Raman Charpak fellowship under CIPFRA France to work for 6 month in the prestigious Climate and Environmental Sciences Laboratory (LSCE) in ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) – the land surface model of the Institut Pierre Simon Laplace (IPSL) institute, under Dr Philippe Peylin

Related Projects

Green synthesis of Metal Nano Particles like Gold or Silver and its Application
Green synthesis of Metal Nano Particles like Gold or Silver and its Application
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Modular Water Distribution System – Andhra Pradesh
Modular Water Distribution System – Andhra Pradesh
Development of Laser Surface Texturing technology for automotive application
Development of Laser Surface Texturing technology for automotive application
Fusion Transcripts in Cancer and the Potential to Inhibit by RNA Interference
Fusion Transcripts in Cancer and the Potential to Inhibit by RNA Interference
Admissions Apply Now