Climate Modeling Tools Improve Weather Forecasting
At the meeting, hosted by the Lab's National Energy Research Scientific Computing
Division (NERSC), scientists demonstrated that their tools for predicting weather are
getting more reliable and extending the range of forecasts.
To do this, the Department of Energy's Biological and Environmental Research Program recently announced that it will fund a joint climate research project between NERSC and the Geophysical Fluid Dynamics Laboratory (GFDL) to investigate how widely used climate models can be run effectively and efficiently on massively parallel processing supercomputers. Such computers, called MPP machines, are able to handle large jobs more quickly by dividing codes into smaller units and running them in parallel, thereby taking minutes or hours to process data that once required days or weeks to run. Using such machines, climate researchers can also include more data points in their simulations, thereby producing more detailed and accurate results.
NERSC will focus initially on the Modular Ocean Model developed at the GFDL, and investigate additional models later. As improvements are made in the codes, NERSC will work closely with the model developers at GFDL to incorporate the improvements into the models. For more climate modeling visualizations visit theGFDL website.