activity : nca4-change-in-heavy-precipitation-panel-2-process



1. Stations were chosen with less than 10% missing data for the period of 1950-2011

2. For each station, the number of days with precipitation greater than 3 inches was counted for each year for 1950-2016.

3. For each station, the trend was calculated using linear least squares regression

4. The trend value was expressed as a percent change over the entire period, relative to the overall mean of the time series. The specific formula was
Percent change = length x slope/mean
Length = 65 years (the number of years between the middle of 1950 to the middle of 2016)
Slope = slope of the linear regression in units of number per year
Mean = average number of days per year over the entire time series

Station trend values were plotted on a map of the Southeast Region using color coding to indicate sign and magnitude

Methodology Contact: Kenneth E. Kunkel; North Carolina State University


The duration of this activity was 5 hours.

Interim artifacts generated by this activity :
Output artifacts generated by this activity :
SE_change heavy precip_v2.png; Resources site

Computing environment : Red Hat Enterprise Linux Server release 7.5

Software used : FORTRAN G95 (GCC 4.0.3 (g95 0.94!) Jan 17 2013)

Visualization software used : Grid Analysis and Display System (GrADS) Version 2.0.1

Data Bounding

The input object was time bounded starting from January 01, 1950 (00:00 AM)

The input object was time bounded ending at December 31, 2016 (00:00 AM)

The input object was bounded spatially:

This activity resulted in the following :

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