Water Resource Modelling on Grids

We are helping the Walker Institute to run ensembles of hydrological models across a range of computational resources to map out future water resource availability across the UK and beyond. 

We have deployed SSHFS across the Reading Campus grid to enable large IO streams to be used for this modelling as the ensembles are driven by multiple scenarios of future hydrological conditions. This solves a common problem with Climate modelling on Grids and we expect to roll out this solution into many other climate modelling projects. 

The image below illustrates some of the results obtained by running an ensemble of models on the Reading Campus Grid.

These results are based on the predictions of 19 Global Climate Models. The regions coloured blue are where most models predict an increase in rainfall. The regions coloured yellow and brown are where fewer models predict an increase in rainfall; these regions are most likely to become drier.

Click here to see slides from a recent presentation about the hydrological modelling work that was facilitated by the Reading Campus Grid.