Extreme value innovative trend analysis methodology

ŞEN Z.

International Journal of Global Warming, cilt.28, sa.3, ss.297-310, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 3
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1504/ijgw.2022.126674
  • Dergi Adı: International Journal of Global Warming
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, INSPEC, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.297-310
  • Anahtar Kelimeler: average, drought, extreme, flood, hazard, lower, rainfall, risk, slope, trend, upper
  • İstanbul Medipol Üniversitesi Adresli: Evet

Özet

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.