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Cambridge Global Challenges

 

The Climate Science for Service Partnership (CSSP) Brazil is seeking
submissions on methane flux estimation using inverse modelling to better understand Brazil’s CH4 budget from available observations.

The research will seek to:

  • develop a high-resolution regional inverse modelling infra-structure centred on Brazil utilising available surface, airborne and satellite observations
  • link with existing land-surface wetland modelling in CSSP-Brazil WP1 to gather together available a priori emission datasets into a cohesive and comprehensive database for use within the inversion system
  • develop better understanding of the spatial and temporal distribution of CH4 fluxes across Brazil and surrounding areas with a special focus on understanding the anthropogenic and non-anthropogenic split of emissions, including sectors such as fossil fuel, agriculture, wetlands and fire.

The work should produce a critical assessment of how top-down and bottom-up modelling differ, and the relative strengths and weaknesses of each.

These grants offer £180,000 of funding to be applied between 1st April 2018 and 31st March 2020.

This opportunity is offered by the Newton Fund Weather and Climate Science for Service Partnership Programme, which comprises projects designed to build the basis for strengthening the resilience of vulnerable communities to weather and climate variability, supported by the UK government's Newton Fund. Please find other opportunities offered by the programme here.

 

Please find further information and apply here.

Welcome to Cambridge Global Challenges

Cambridge Global Challenges is the Strategic Research Initiative of the University of Cambridge that aims to enhance the contribution of its research towards addressing the Sustainable Development Goals (SDGs) by 2030, with a particular focus on the poorest half of the world’s population.

 

Join the Strategic Research Initiative

Register to Cambridge Global Challenges here.

 

Contact us

Programme Manager (Sara Serradas Duarte): coordinator@gci.cam.ac.uk​