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activity : e4ee3f29-nca3-cmip5-r1-process
Multi-model mean CMIP5 (RCP 6.0 scenario) temperature projections were plotted for the United States, for 2071-2099 relative to 1970-1999.
1. For each model at each grid point, the mean annual temperature under the RCP 6.0 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 temperature under the RCP 6.0 scenario was calculated for two periods: 1970-1999 and 2071-2099. 4. At each grid point, the mean temperature for the two periods was computed by averaging the following models: bcc-csm1-1, bcc-csm1-1-m, CCSM4, CESM1-CAM5, CSIRO-Mk3-6-0, FGOALS-s2, FIO-ESM, GFDL-CM3, GFDL-ESM2G, GFDL-ESM2M, GISS-E2-H, GISS-E2-R, HadGEM2-A0, HadGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MIROC5, MIROC-ESM, MIROC-ESM-CHEM, MRI-CGCM3, NorESM1-ME, and NorESM1-M. 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 the United States.
The duration of this activity was 100 hours.Output artifacts generated by this activity :
tas_rcp60_1970-1999_2071-2099_change.nc 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 config.py plot_annual_temp_maps.py 2-9_c.png CS_projected temperature change_RCPs_V9.png
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
This activity resulted in the following :
Alternatives : JSON YAML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG