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activity : ab9fa765-nca3-cmip5-r1-process
ab9fa765-nca3-cmip5-r1-process
Multi-model mean CMIP5 (RCP 4.5 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 4.5 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 4.5 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: ACCESS1-0, ACCESS1-3, bcc-csm1-1, bcc-csm1-1-m, BNU-ESM, CanESM2, CCSM4, CESM1-BGC, CESM1-CAM5, CESM1-WACCM, CMCC-CM, CMCC-CMS, CNRM-CM5, CSIRO-Mk3-6-0, EC-EARTH, FGOALS-g2, FGOALS-s2, FIO-ESM, GFDL-CM3, GFDL-ESM2G, GFDL-ESM2M, GISS-E2-H-CC, GISS-E2-H, GISS-E2-R-CC, GISS-E2-R, HadGEM2-A0, HadGEM2-CC, HadGEM2-ES, inmcm4, IPSL-CM5A-LR, IPSL-CM5A-MR, IPSL-CM5B-LR, MIROC5, MIROC-ESM, MIROC-ESM-CHEM, MPI-ESM-LR, MPI-ESM-MR, 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_rcp45_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_b.png CS_projected temperature change_RCPs_V9.png
This activity resulted in the following :
- image ab9fa765-c273-45af-9a17-017d151a9cde 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