An ensemble-based projection of future hydro-climatic extremes in Iran

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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An ensemble-based projection of future hydro-climatic extremes in Iran. / Jahanshahi, Afshin; Booij, Martijn; Patil, Sopan et al.
Yn: Journal of Hydrology, Cyfrol 642, 131892, 01.10.2024.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Jahanshahi, A, Booij, M, Patil, S & Gupta, H 2024, 'An ensemble-based projection of future hydro-climatic extremes in Iran', Journal of Hydrology, cyfrol. 642, 131892. https://doi.org/10.1016/j.jhydrol.2024.131892

APA

Jahanshahi, A., Booij, M., Patil, S., & Gupta, H. (2024). An ensemble-based projection of future hydro-climatic extremes in Iran. Journal of Hydrology, 642, Erthygl 131892. Cyhoeddiad ar-lein ymlaen llaw. https://doi.org/10.1016/j.jhydrol.2024.131892

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MLA

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Jahanshahi A, Booij M, Patil S, Gupta H. An ensemble-based projection of future hydro-climatic extremes in Iran. Journal of Hydrology. 2024 Hyd 1;642:131892. Epub 2024 Awst 22. doi: 10.1016/j.jhydrol.2024.131892

Author

Jahanshahi, Afshin ; Booij, Martijn ; Patil, Sopan et al. / An ensemble-based projection of future hydro-climatic extremes in Iran. Yn: Journal of Hydrology. 2024 ; Cyfrol 642.

RIS

TY - JOUR

T1 - An ensemble-based projection of future hydro-climatic extremes in Iran

AU - Jahanshahi, Afshin

AU - Booij, Martijn

AU - Patil, Sopan

AU - Gupta, Hoshin

PY - 2024/8/22

Y1 - 2024/8/22

N2 - Climate change poses a significant global challenge, impacting both the natural and socio-economic functioning of the world. Iran, is already experiencing significant changes in hydro-climatic patterns. Here, we introduce and employ an assessment framework to evaluate the impacts of climate change on hydro-climatic extremes for 576 catchments across Iran. We used future projections of five Regional Climate Models (RCMs) from the Coordinated Regional Climate Downscaling Experiment (CORDEX) for two time periods, the near future (2024–2050) and far future (2051–2080) and two Representative Concentration Pathway (RCP) scenarios, RCP 2.6 and RCP 8.5. These projections were bias-corrected and used to drive the HBV hydrological model for estimating changes in extreme streamflow, characterized via 19 hydro-climatic indices.Results show that, based on the median values of the RCM ensemble, most study catchments will experience modest precipitation reductions but with amplified intensity and frequency of precipitation events and substantial rises in air temperature. Most extreme precipitation indices show noticeable upward trends under both RCP scenarios, with significant increases in extreme temperatures, especially under RCP 8.5. An increase in the annual maximum 1-day streamflow index is projected across approximately half of the catchments, with the most notable rise in the northeastern and southeastern regions of Iran. Moreover, northeastern Iran can expect significant increases in the annual minimum 7-day streamflow index, in both the near and far future, and under both RCP scenarios.Our findings offer valuable insights into the patterns of hydro-climatic extremes within Iran in response to climate change and have the capacity to inform decision-makers to develop effective adaptation and mitigation strategies.

AB - Climate change poses a significant global challenge, impacting both the natural and socio-economic functioning of the world. Iran, is already experiencing significant changes in hydro-climatic patterns. Here, we introduce and employ an assessment framework to evaluate the impacts of climate change on hydro-climatic extremes for 576 catchments across Iran. We used future projections of five Regional Climate Models (RCMs) from the Coordinated Regional Climate Downscaling Experiment (CORDEX) for two time periods, the near future (2024–2050) and far future (2051–2080) and two Representative Concentration Pathway (RCP) scenarios, RCP 2.6 and RCP 8.5. These projections were bias-corrected and used to drive the HBV hydrological model for estimating changes in extreme streamflow, characterized via 19 hydro-climatic indices.Results show that, based on the median values of the RCM ensemble, most study catchments will experience modest precipitation reductions but with amplified intensity and frequency of precipitation events and substantial rises in air temperature. Most extreme precipitation indices show noticeable upward trends under both RCP scenarios, with significant increases in extreme temperatures, especially under RCP 8.5. An increase in the annual maximum 1-day streamflow index is projected across approximately half of the catchments, with the most notable rise in the northeastern and southeastern regions of Iran. Moreover, northeastern Iran can expect significant increases in the annual minimum 7-day streamflow index, in both the near and far future, and under both RCP scenarios.Our findings offer valuable insights into the patterns of hydro-climatic extremes within Iran in response to climate change and have the capacity to inform decision-makers to develop effective adaptation and mitigation strategies.

U2 - 10.1016/j.jhydrol.2024.131892

DO - 10.1016/j.jhydrol.2024.131892

M3 - Article

VL - 642

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

M1 - 131892

ER -