13129a6d-nca3-ghcn-daily-r201305-process

Decadal average anomalies for the 99th percentile of precipitation (difference between the decade and the 1901-1960 average precipitation) for the southern Great Plains region were plotted as a bar graph. Note: the far right bar contains data for 12 years (2001-2012).

First, GHCN-D stations with minimal (less than 10%) missing precipitation data were identified. For each station the 99th percentile threshold of daily precipitation was determined using the entire period of record. Next, the total precipitation falling on days exceeding the 99th percentile threshold was calculated for each year. Then, grid box average values were calculated for each year, by averaging the values for each station available in that grid box. The annual values were then averaged for all grid boxes containing data in the southern Great Plains region. Decadal averages were then calculated. Finally the 1901-1960 99th percentile average amount was subtracted from the decadal average amount, and a percentage change was calculated.

The duration of this activity was 6 hours.

Output artifacts generated by this activity :

getprcpextremes99perc_May03_2013.f95
prcpextremes99perc_1901_2012_May03_2013.txt 
gridaverage_99per_regions_May03_2013.f95
gridprcpextremes99perc_regions_1901_2012_May03_2013.txt
gridprecipextremes99perc_regions_1901_2012_May03_2013.csv
perc99_decadal_barchart.pro
99th_perc_anom_decadal_values_1901-2012.txt
GS_99th_perc_anom_pct_1901_2012.eps
2-17_gps.png
CS_Extreme Heavy precipitation_v7.png

This activity resulted in the following :

• image 13129a6d-3955-483b-94fa-d17b139d460c was derived from dataset Global Historical Climatology Network - Daily

Computing environment : Linux (CentOS release 6.4); Mac OS X (darwin x86_64 m64)

Software used : Fortran 95; lf95 compiler (Lahey/Fujitsu Linux64 Fortran compiler release L8.10b); IDL (version 8.0)

Visualization software used : IDL (version 8.0)

Notes : Fortran 95 was used to perform numerical calculations. IDL was used to visualize the data.