TITLE:
Rainy/Non-Rainy Day Pattern Analysis for North Carolina
AUTHORS:
Akand W. Islam
KEYWORDS:
Mann-Kendall, Sen-Slope, Inverse Distance Weighing Interpolation, Trend Significance
JOURNAL NAME:
American Journal of Climate Change,
Vol.4 No.1,
March
3,
2015
ABSTRACT: Trends in rainy/non-rainy days are investigated using the Mann-Kendall
non-parametric test at 249 weather station sites of North Carolina, United
States. Sen-Slope method has been applied to predict the trend magnitude. Inverse
distance weighing interpolation technique is adopted to represent the spatial
distribution of trend magnitude across the North Carolina. Quality controlled
daily precipitation data sets from 1950 to 2009 have been used to analyze. The
double-mass curve and autocorrelation were adopted to analyze the precipitation
time series of each station to check the consistency and homogeneity. Standard
Precipitation Index (SPI) has also been discussed for the study area. It is found in North Carolina
that a number of rainy day trends are increasing both spatially and temporally.
Eastern part of North Carolina shows the significant increasing rainy day
trends. Trend significance has been checked at 1% and 5% significance level.
Recent decades show the high SPI in both the extent of wetness and dryness.