OREGON STATE UNIVERSITY

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Climate Analysis

Thank you for your interest in the Global Climate Data Package (written in Matlab). The methods implemented in this package are described in:

1. Mosier, T., Hill, D.F., Sharp, K.V., 2017, "Update to the Global Cliamte Data Package: analysis of empirical bias correction methods in the context of producing very high resolution climate projections", International Journal of Climatology

2. Mosier, T., Hill, D.F., Sharp, K.V., 2014, "Very high resolution monthly climate surfaces with global land coverage," International Journal of Climatology, v.34(7), pp.2175-2188.

3. Mosier, Thomas M., 2015, “Characterizing Linkages Between the Climate, Cryosphere, and Impacts on Run-of-River Hydropower in Data-Sparse Mountain Environments.” Dissertation. Oregon State University.

 

The Global Climate Data Package is distributed with the minimal inputs necessary to produce a 30 arcsecond monthly precipitation grid for June. Full input datasets must be downloaded through the respective organizations that have produced them. Instructions on how to access some of the input data compatible with the Global Climate Data Package are provided in the associated user manual.

 

Both the Global Climate Data Package and associated user manual are available upon filling out the form below.