The topic working group on ‘spatial analysis and modelling’ (SAM) from the Challenge Program for Water and Food (CPWF) has agreed on a partnership between the International Water Management Institute (IWMI), Cornell University and Texas A&M University on a product dealing with global climate reanalysis data.

This partnership and announced its intentions at the recent Soil and Water Technology (SWAT) 2012 conference. The product (available at this address: will be hosted by Texas A&M University for now.

As an upcoming paper highlights, “Obtaining representative or near real-time meteorological data to force watershed models can be difficult and time consuming. Land based stations are often too far from the point of interest to adequately represent the weather, and many have  gaps in the data series.” The Climate Forecast System Reanalysis (CFSR) global meteorological data set has the advantage of using precipitation and temperature data, which generally provide better predictions of watershed discharge than land based stations at distances greater than 10 km from the watershed center.

This data set is useful for the SAM team for hydrological modeling, in the absence of gauge data. However, the data can also be used for any other application. It requires MET parameters – a lot of other parameters were not included (see full details at: Daniel Fuka, PhD student from Cornell University is leading this work.