9 hours and 30 minutes
Fortran 95,f95 compiler,GrADS,ArcGIS
1. For each model at each grid point, the mean spring precipitation under the RCP8.5 scenario was calculated.<br/>2. For each model, these data were re-gridded to a common grid.<br/>3. For each model at each grid point, the mean spring precipitation under the RCP8.5 scenario was calculated for two periods: 1971-2000 and 2041-2070.<br/>4. At each grid point, the difference in projected spring precipitation was calculated for 2041-2070 minus 1971-2000.<br/>5. At each grid point, the mean spring precipitation difference was computed by averaging the following models:<br/>BCC-CSM1.1, CCSM4, CSIRO-Mk3-6-0, FIO-ESM, GFDL-CM3, GFDL-ESM2G, GFDL-ESM2M, GISS-E2-R, HadGEM2-A0, HadGEM2-ES, IPSL-CM5B-LR, IPSL-CM5A-LR, MIROC5, MIROC-ESM-CHEM, MIROC-ESM, MRI-CGCM3.<br/>6. Data were plotted for grid points in the contiguous United States with model agreement indicated as follows:<br/>Category 1: If less than 50% of the models indicate a statistically significant change then the multi-model mean is shown in color;<br/>Category 2: If more than 50% of the models indicate a statistically significant change but less than 67% of the significant models agree on the sign of the change, then the grid points are masked out;<br/>Category 3: If more than 50% of the models indicate a statistically significant change and more than 67% of the significant models agree on the sign of the change, then the multimodel mean is shown in color with hatching.
noaa-led-state-summaries-2017-az-projected-change-in-spring-precipitation-process
CICS computer cluster /snfs4/assessment/state summaries
Linux (CentOS release 6.4)