---
computing_environment: Linux (Red Hat Enterprise Linux Server release 6.4)
data_usage: 'Multi-model mean CMIP3 (A1B emissions scenario) winter precipitation projections were plotted for North America, for 2070-2099 relative to 1970-1999.'
display_name: 3db26b57-nca3-cmip3-r201205-process
duration: 100 hours
end_time: ~
href: http://52.38.26.42:8080/activity/3db26b57-nca3-cmip3-r201205-process.yaml
identifier: 3db26b57-nca3-cmip3-r201205-process
methodologies: []
methodology: "1. For each model at each grid point, the mean winter precipitation under the A1B emissions scenario was calculated.\r\n2. For each model, these data were re-gridded to a common grid.\r\n3. For each model at each grid point, the mean winter precipitation was calculated under the A1B scenario for 2071-2099 and under the historical scenario for 1970-1999 for the same subset of CMIP3 models.\r\n4. At each grid point, the mean winter precipitation for the two periods was computed by averaging the following models:\r\nBCCR_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.\r\n5. At each grid point, the difference in projected winter precipitation was calculated for 2070-2099 minus 1970-1999.\r\n6. Data were plotted for grid points in North America with hatching/white-out applied as follows:\r\nIf the average change is twice as large as the average 20-year standard deviation from the reference period model run and 90% of the models agree in sign, then hatching is applied to those grid points. If the average change is less than the average 20-year standard deviation from the reference period model run, then those grid points are whited out (Methodology as used in IPCC AR5 WG1 report, chapter 12)."
notes: Python
output_artifacts: "pr_sresa1b_2071-2099_percent_change.nc_hatched_north_america_ar5_white.nc\r\nCustom python codes written by Michael Wehner\r\ngridded_data_CMIP3_2041_2070_precip_test.dat\r\ngridded_data_a1b_precip.dat\r\nconfig.py\r\nplot_hawaii_precip.py\r\nplot_north_american_categories.py\r\nplot_north_american_precip.py\r\nWintertime_precip.eps\r\nWintertime_categories.eps\r\na1b.png\r\nAPP_precip_winter projections_V6.png"
publication_maps:
  - activity_identifier: 3db26b57-nca3-cmip3-r201205-process
    child: 16197
    child_uri: /publication/16197
    display_name: 16197/prov:wasDerivedFrom/14593
    note: ~
    parent: 14593
    parent_uri: /publication/14593
    relationship: prov:wasDerivedFrom
    type: publication_map
software: Python (v2.7.6)
start_time: ~
type: activity
uri: /activity/3db26b57-nca3-cmip3-r201205-process
visualization_software: 'Python (v2.7.6), Matplotlib (v1.3.1), Basemap (v1.0.7)'