A multi-method and multi-duration trend analysis of temperature and precipitation in Istanbul, Turkey, by using meteorological records, MERRA-2 reanalysis, and IMERG estimations

In this study, temperature and precipitation trends in Istanbul were analyzed using data from a ground-based station for the 1960–2019 interval, Integrated Multi-SatellitE Retrievals for Global Precipitation Measurement (GPM IMERG) for 2000–2019, and Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) temperature reanalysis for 1980–2019. Single-duration analysis revealed significant increasing temperature trends with minor downward and major upward tendencies in precipitation. Multi-duration analysis resulted with dominant decreasing and increasing temperature trends, respectively, in 1980–1999 and 2000–2019, alongside decreasing precipitation trends in 1980–1999 winter and 2000–2019 spring, which were undetected in the single-duration analysis. As a novel attempt, trends based on MERRA-2 and IMERG data were compared with ground-based records in Istanbul and revealed better compatibility in MERRA-2, especially in 2000–2019 compared to IMERG data. By comparing various statistical methods and data sources, this study offers valuable insights into hydrometeorological trend analysis and aids transition from conventional to novel data sources. • Seasonal and annual temperatures showed consistent, significant rises, with summer rising most. • Seasonal and annual precipitation trends were inconsistent, with yearly, summer, and fall rising. • Temperature trend consistency of MERRA-2 and ground data improved in 2000–2019 against 1980–1999. • Precipitation trends of IMERG and ground data were parallel, except spring and high values in fall. • The visual multi-duration ITA method capably identified sub-trends in different value groups.

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Publication Details

Journal
HydroResearch
Published
2024-11-19
DOI
https://doi.org/10.1016/j.hydres.2024.11.005
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85

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article

A multi-method and multi-duration trend analysis of temperature and precipitation in Istanbul, Turkey, by using meteorological records, MERRA-2 reanalysis, and IMERG estimations

S. Chrisben Sam, Mehmet Özger
3 citations
HydroResearch
Climate variability and models
0.85
article

A multi-method and multi-duration trend analysis of temperature and precipitation in Istanbul, Turkey, by using meteorological records, MERRA-2 reanalysis, and IMERG estimations

S. Chrisben Sam, Mehmet Özger
article en
3 citations

Abstract

In this study, temperature and precipitation trends in Istanbul were analyzed using data from a ground-based station for the 1960–2019 interval, Integrated Multi-SatellitE Retrievals for Global Precipitation Measurement (GPM IMERG) for 2000–2019, and Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) temperature reanalysis for 1980–2019. Single-duration analysis revealed significant increasing temperature trends with minor downward and major upward tendencies in precipitation. Multi-duration analysis resulted with dominant decreasing and increasing temperature trends, respectively, in 1980–1999 and 2000–2019, alongside decreasing precipitation trends in 1980–1999 winter and 2000–2019 spring, which were undetected in the single-duration analysis. As a novel attempt, trends based on MERRA-2 and IMERG data were compared with ground-based records in Istanbul and revealed better compatibility in MERRA-2, especially in 2000–2019 compared to IMERG data. By comparing various statistical methods and data sources, this study offers valuable insights into hydrometeorological trend analysis and aids transition from conventional to novel data sources. • Seasonal and annual temperatures showed consistent, significant rises, with summer rising most. • Seasonal and annual precipitation trends were inconsistent, with yearly, summer, and fall rising. • Temperature trend consistency of MERRA-2 and ground data improved in 2000–2019 against 1980–1999. • Precipitation trends of IMERG and ground data were parallel, except spring and high values in fall. • The visual multi-duration ITA method capably identified sub-trends in different value groups.

HydroResearchVol. 8
Istanbul Technical University (TR)
Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi
Climate action
Openalex Percentile: Top 27%
Climate variability and models
0.85
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A multi-method and multi-duration trend analysis of temperature and precipitation in Istanbul, Turkey, by using meteorological records, MERRA-2 reanalysis, and IMERG estimations — S. Chrisben Sam, Mehmet Özger · HydroResearch (2024) | TGRS Research Map | TGRS