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CSSP Brazil research opportunities

Amazon rainforest Brazil

Calls for grant applications are now closed. More information on calls is available via the Met Office tenders portal.

Call now CLOSED

Processes and predictability associated with sub-seasonal rainfall variability in Brazil

Call closed on 4 December.

Submissions are sought on analysis of the processes and predictability of rainfall variability over Brazil in GCMs.

The ability of different modelling systems to represent the processes and drivers associated with sub-seasonal variations of rainfall over Brazil is of key interest to enable useful information to be gained from models on timescales from days to seasons to centuries. Sub-seasonal variations of rainfall in this region are known to be associated mainly with the Madden-Julian Oscillation (MJO) and other equatorial waves, modulated by the seasonal variations of the North and South American monsoons, the Atlantic ITCZ and the South Atlantic Convergence Zone. However, the ability of models to represent the processes linking these dynamical modes with variations in rainfall intensity and location has not been established. In addition, the role of local interactions and feedbacks through the land surface and vegetation cover in modulating the rainfall variability at intraseasonal timescales is not well understood.  

Research is required into the representation of physical processes associated with rainfall patterns and intensities over Brazil in GCMs and how this affects a model’s ability to predict sub-seasonal variations.

CLOSED calls

Estimating methane fluxes through inverse modelling

Call closed on 15 November.

Submissions were sought 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.

Meteorological driving data for offline land surface and impacts simulations

Call closed 15 November

Submissions are sought on developing methods and datasets of meteorological forcing data for land-surface model simulations to span historical and future periods.

The research will seek to develop methodology to extend historical datasets of meteorological driving data required for offline land-surface models. Specific focus will be on enabling the ability to extend existing offline ensembles (such as TRENDY) into the near future using initialised seasonal and decadal predictions. Anticipated outputs include:

  • Tested and documented methodology for producing forcing data for land-surface models across observed and projected time periods
  • Routinely produced forcing data to extend TRENDY simulations beyond present day using seasonal forecast, decadal forecast and centennial projection data.

 

Applying for research grant opportunities

In order to respond to calls for research grant opportunities under CSSP Brazil you will need to register on the Met Office tendering portal via the 'Register Free' option found on the right hand side of the Tenders page. You will find more information on how to use the Met Office Tenders system on the Guidance page.

 

Closed calls

Requests for proposals on the following four research grant opportunities closed on 31 October.

Vegetation dynamics modelling

Submissions were sought on dynamic vegetation modelling to better represent mortality and regrowth processes and recovery dynamics.

Call 1: Vegetation dynamics modelling

Collection and application of in-situ forest observations and measurements to evaluate models

Submissions were sought on use of in-situ forest observations and measurements to evaluate models.

Call 2: collection and application of in-situ forest observations and measurements to evaluate models

Collection and application of regional scale observations and measurements to evaluate models

Submissions were sought on use of regional scale observations and measurements to evaluate models.

Call 3: collection and application of regional scale observations and measurements to evaluate models

Attribution of impacts and extremes for disaster risk reduction

Submissions were sought on detection and attribution of impacts of climate change in Brazil.

Call 4: attribution of impacts and extremes for disaster risk reduction

 

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