410f8550-nca3-etccdi-r201305-process

The multi-model mean change in annual maximum precipitation for the continued emissions increases (RCP 8.5) scenario, for 2070-2099 relative to 1971-2000, was plotted for North America.

1. The mean annual maximum precipitation CLIMDEX data (RCP 8.5 scenario) for each model were re-gridded to a common grid of 1.5 x 1.5 degrees. 2. For each model listed below, at each grid point, the mean annual maximum precipitation was calculated for two periods (1971-2000 and 2070-2099) by averaging the annual values. 3. Multi-model mean values were then calculated for 1971-2000 and 2070-2099 by averaging the period means from the 24 models listed below, at each grid point. 4. The percentage change was calculated at each grid point (relative to the 1971-2000 mean) and plotted on a map. 5. The percentage of models with differences greater than zero was calculated and stippling was added to the maps for percentages greater than 80% or less than 20%. The following models were used: ACCESS1-0 BNU-E CanES2 CCSM4 CESM1-BGC CMCC-CM CNRM-CM5 CSIRO-Mk3-6-0 GFDL-CM3 GFDL-ESM2G GFDL-ESM2M HadGEM2-CC HadGEM2-ES inmcm4 IPSL-CM5A-LR IPSL-CM5A-MR IPSL-CM5B-LR MIROC5 MIROC-ESM-CHEM MIROC-ESM MPI-ESM-LR MPI-ESM-MR MRI-CGCM3 NorESM1-M

The duration of this activity was 60 hours.

Output artifacts generated by this activity :

cal30yrmax.gs
cal_diffmap.gs
just_regrid.gs
cal_t_cat.f95
CMIP5_RCP85_cdd_PositivePct.asc
CMIP5_RCP85_cdd_tTest_cat123.asc
global_grid-CMIP5_RCP85_PCT_cdd.asc
config.py
plot_precip_change.py
80_20_plots_solid_dots.zip
CMIP5_precip_plots_fixed_scale.zip
CMIP5_precip_plots_levels10.zip
CMIP5_precip_plots_levels5.zip
rcp85_cdd_80_20.eps
rcp85_cdd_80_20_levels10.eps
rcp85_cdd_80_20_levels5.eps
rcp85_cdd_signif.eps
2-13_b.png
CS_regional uncertainty_V4.png

This activity resulted in the following :

• image 410f8550-d1ef-47ee-9252-7262fcfe8ca0 was derived from dataset ETCCDI Extremes Indices Archive

Computing environment : Linux (Red Hat Enterprise Linux Server release 6.4)

Software used : GrADS 2.0, Fortran 95

Visualization software used : Python (v2.7.6), Matplotlib (v1.3.1), Basemap (v1.0.5)

Notes : Fortran 95, GrADS