5a8944ff-nca3-cmip3-r201205-process

Multi-model mean CMIP3 (higher emissions scenario) summer precipitation projections were plotted for the United States, for 2041-2070 relative to 1970-1999.

1. For each model at each grid point, the mean summer precipitation under the higher emissions scenario (A2) was calculated. 2. For each model, these data were re-gridded to a common grid. 3. For each model at each grid point, the mean summer precipitation under the higher emissions scenario (A2) was calculated for two periods: 1970-1999 and 2041-2070. 4. At each grid point, the mean summer precipitation for the two periods was computed by averaging the following models: CCSM3, CGCM3.1 (T47), CNRM-CM3, CSIRO-Mk3.0, ECHAM5/MPI-OM, ECHO-G, GFDL-CM2.0, GFDL-CM2.1, INM-CM3.0, IPSL-CM4, MIROC3.2 (medres), MRI-CGCM2.3.2, PCM, UKMO-HadCM3, and UKMO-HadGEM1 5. At each grid point, the difference in projected summer precipitation was calculated for 2041-2070 minus 1970-1999. 6. Data were plotted for grid points in the United States with hatching/white-out applied as follows: If less than 50% of the models show a statistically significant change, then those grid points are whited out. If more than 50% of the models show a statistically significant change, but less than 67% of the models agree on the sign of the change, then those grid points are shaded. If more than 50% of the models show a statistically significant change, and more than 67% of the models agree on the sign of the change, then shading is overlaid with hatching for those grid points.

The duration of this activity was 100 hours.

Output artifacts generated by this activity :

gridded_data_CMIP3_2041_2070_a2_precip.dat
plot_north_american_precip.py
CMIP3_2041_2070_a2_precip.eps
CMIP3_2041_2070_a2_precip_categories.eps
4-4_c.png
Energy_seasonal precip_cmip3_v5.png

This activity resulted in the following :

• image 5a8944ff-477b-4497-a619-3107daa63af5 was derived from dataset World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset

Computing environment : Linux (Red Hat Enterprise Linux Server release 6.4)

Software used : Python (v2.7.6)

Visualization software used : Python (v2.7.6), Matplotlib (v1.3.1), Basemap (v1.0.7)

Notes : Python