f3dd8b46-nca3-cmip3-r201205-process

Multi-model mean CMIP3 (A1B emissions scenario) temperature projections were plotted for North America, for 2071-2099 relative to 1970-1999.

1. For each model at each grid point, the mean annual temperature under the A1B emissions scenario 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 annual temperature under the A1B scenario for 2071-2099 was calculated for the same subset of CMIP3 models under historical scenario for 1970-1999. 4. At each grid point, the mean temperature for the two periods was computed by averaging the following models: BCCR_BCM2.0, CCSM3, CGCM3.1 (T47), CGCM3.1 (T63), CNRM-CM3, CSIRO-Mk3.0, ECHAM5/MPI-OM, ECHO-G, FGOALS-g1.0, GFDL-CM2.0, GFDL-CM2.1, GISS-AOM, GISS-EH, GISS-ER, INM-CM3.0, IPSL-CM4, MIROC3.2 (hires), MIROC3.2 (medres), MRI-CGCM2.3.2, PCM, UKMO-HadCM3, and UKMO-HadGEM1. 5. At each grid point, the difference in projected temperature was calculated for 2071-2099 minus 1970-1999. 6. Data were plotted for grid points in North America.

The duration of this activity was 100 hours.

Output artifacts generated by this activity :

Custom python codes written by Michael Wehner
tas_sresa1b_1970-1999_2071-2099_change.nc
config.py
plot_annual_temp_maps.py
temp_scenarios_annual.eps
temp_scenarios_annual_new_colors_darker.eps
temp_scenarios_annual_new_colors_darker.png
temp_scenarios_HI_annual.eps
temp_scenarios_HI_annual_new_colors_darker.eps
temp_scenarios_HI_annual_new_colors_darker.png
a1b.png
APP_Projected Annually-Averaged Temperature Change_V3.png

This activity resulted in the following :

• image f3dd8b46-4c3e-4d09-8f1d-36bbcc5c7f29 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