Next Article in Journal
Life Cycle Characteristics of Warm-Season Severe Thunderstorms in Central United States from 2010 to 2014
Previous Article in Journal
Polar Cyclone Identification from 4D Climate Data in a Knowledge-Driven Visualization System
Article Menu

Export Article

Open AccessArticle
Climate 2016, 4(3), 44; doi:10.3390/cli4030044

Trend and Homogeneity Analysis of Precipitation in Iran

College of Social Science, Payame Noor University, Tehran 19395-3697, Iran
Academic Editor: Yang Zhang
Received: 25 April 2016 / Revised: 21 August 2016 / Accepted: 1 September 2016 / Published: 8 September 2016
View Full-Text   |   Download PDF [7814 KB, uploaded 8 September 2016]   |  

Abstract

The main objective of this study is to examine trend and homogeneity through the analysis of rainfall variability patterns in Iran. The study presents a review on the application of homogeneity and seasonal time series analysis methods for forecasting rainfall variations. Trend and homogeneity methods are applied in the time series analysis from collecting rainfall data to evaluating results in climate studies. For the homogeneity analysis of monthly, seasonal and annual rainfall, homogeneity tests were used in 140 stations in the 1975–2014 period. The homogeneity of the monthly and annual rainfall at each station was studied using the autocorrelation (ACF), and the von Neumann (VN) tests at a significance level of 0.05. In addition, the nature of the monthly and seasonal rainfall series in Iran was studied using the Kruskal-Wallis (KW) test, the Thumb test (TT), and the least squares regression (LSR) test at a significance level of 0.05. The present results indicate that the seasonal patterns of rainfall exhibit considerable diversity across Iran. Rainfall seasonality is generally less spatially coherent than temporal patterns in Iran. The seasonal variations of rainfall decreased significantly throughout eastern and central Iran, but they increased in the west and north of Iran during the studied interval. The present study comparisons among variations of patterns with the seasonal rainfall series reveal that the variability of rainfall can be predicted by the non-trended and trended patterns. View Full-Text
Keywords: trend; homogeneity; rainfall; time series and temporal pattern trend; homogeneity; rainfall; time series and temporal pattern
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Javari, M. Trend and Homogeneity Analysis of Precipitation in Iran. Climate 2016, 4, 44.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Climate EISSN 2225-1154 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top