Extreme value innovative trend analysis methodology

ŞEN Z.

International Journal of Global Warming, vol.28, no.3, pp.297-310, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28 Issue: 3
  • Publication Date: 2022
  • Doi Number: 10.1504/ijgw.2022.126674
  • Journal Name: International Journal of Global Warming
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, INSPEC, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.297-310
  • Keywords: average, drought, extreme, flood, hazard, lower, rainfall, risk, slope, trend, upper
  • Istanbul Medipol University Affiliated: Yes

Abstract

The main concern of the article is to determine the trend analyses of upper and lower extreme values separately, apart from the classical central trend. The innovative trend analysis (ITA) modification is adapted for extreme value trend analysis using one standard deviation level from the arithmetic mean value. Extreme value trends emerge along completely different monotonous lines. The application of the proposed methodology is presented for the annual total rainfall time series of seven meteorological stations from each geographical and climatological regions of Turkey. In the future, it is recommended to use only the classical central trend extreme value trend analyses for refined forecasts.