f8258223-nca3-cmip3-downscaled-r201304-process

The multi-model mean difference in the number of days with total precipitation exceeding the historical (1971-2000) 98th percentile under the higher emissions scenario (A2) for 2041-2070 relative to 1971-2000 was plotted for the U.S. Great Plains.

1. For each model at each grid point, the 98th percentile threshold value of total daily precipitation was calculated for 1971-2000. 2. For each model at each grid point, the number of days with total precipitation exceeding the threshold value for 1971-2000, under the higher emissions scenario (A2), was calculated for two periods: 1971-2000 and 2070-2099. 3. At each grid point, the mean number of days with total precipitation exceeding the threshold value was computed for both time periods by averaging the following models: - cgcm3_t47 - cgcm3_t63 - cnrm - echam5 - echo - gfdl_2.1 - hadcm3 - pcm 4. At each grid point, the difference in the number of days with total precipitation exceeding the threshold value was calculated for 2041-2070 minus 1971-2000. 5. Data were plotted for all grid points in the U.S. Great Plains.

The duration of this activity was 56 hours.

Output artifacts generated by this activity :

clusterify.py
config.py
local_utils.py
mean_ffs.py
mpi_clusterify.py
mpi_model_mean.py
MultiModelMeanDifference.py
MultiModelMean.py
plot_model_diag.py
resolve_grids.py
test_suite.py
MMMDiff_CMIP3Downscaled_monolithic_pr98th_a2_2041_2070.sum
pr98th_new_diff.pro
MMMDiff_CMIP3Downscaled_monolithic_pr98th_a2_2041_2070.nc
MMMDiff_CMIP3Downscaled_monolithic_pr98th_a2_2041_2070.ctl
pr98th_plot.gs
MMMDiff_CMIP3Downscaled_pr98th_a2_2041-2070.ps
HeavyPrecipDiff_A2_2041_2070_GP.png
19-3c.png
GP_heavy precip projected_V3.png

This activity resulted in the following :

• image f8258223-c1a5-4279-95cd-89c36a48311a was derived from dataset Eighth degree-CONUS Daily Downscaled Climate Projections

Computing environment : Linux (Red Hat Enterprise Linux Server release 6.4) Mac OS X (darwin x86_64 m64)

Software used : SciPy (v0.10.1), IDL (v8.0), GrADS (v2.0.2)

Visualization software used : GrADS

Notes : SciPy, IDL, GrADS