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activity : 5433f9f1-nca3-cmip5-r1-process
5433f9f1-nca3-cmip5-r1-process
Multi-model mean CMIP5 RCP 6.0 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 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 annual temperature was calculated under the RCP 6.0 scenario for 2071-2099 and under the historical scenario for 1970-1999 for the same subset of CMIP5 models. 4. At each grid point, the mean temperature for the two periods was computed by averaging the following models: bcc-csm1-1, CCSM4, CESM1-CAM5, CSIRO-Mk3-6-0, FIO-ESM, GFDL-CM3, GFDL-ESM2G, GFDL-ESM2M, GISS-E2-R, HadGEM2-AO, HadGEM2-ES, IPSL-CM5A-LR, MIROC5, MIROC-ESM-CHEM, MIROC-ESM, 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 North America.
The duration of this activity was 100 hours.
Output artifacts generated by this activity :tas_rcp60_1970-1999_2071-2099_change.nc Custom python codes written by Michael Wehner 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 rcp60.png APP_Projected Annually-Averaged Temperature Change_V3.png
This activity resulted in the following :
- image 5433f9f1-5710-45ea-8167-86a3cb7fe0dd was derived from dataset World Climate Research Program's (WCRP's) Coupled Model Intercomparison Project phase 5 (CMIP5) multi-model ensemble
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
Alternatives : JSON YAML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG