Global climate modelling

The team of FutureDAMS contributors at Newcastle University has responsibility for assessing and preparing gridded input data for the range of sectoral impact models used throughout the consortium. This covers a number of analytical tasks including:

  • using local meteorological observational records shared by (case study) ‘in-basin’ consortium members to evaluate historical gridded climate datasets and validate the choice of reference dataset;
  • investigating spatial and temporal patterns of near surface atmospheric moisture supply (precipitation) and demand (potential evapotranspiration) across case study basins/domains;
  • developing and implementing methodology to produce a broad of ensemble of bias-corrected projections of 21st century climate conditions using the latest generation global modelling and covering a range of theoretical emissions pathways (scenarios).

Specific key research questions are co-developed – identified and explored – with (case study) ‘in-basin’ consortium members, but are generally articulated around the accuracy of available datasets, the implications observed patterns of moisture availability for critical sectors (e.g. agriculture) and the potential resource management challenges from anticipated anthropogenic climate change.”

The Global Climate Modelling team:

Research update video

This video was produced for the FutureDAMS annual forum (November 2020) as a summary of the team’s current research progress.

Global climate modelling research