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Future changes in peak river flows across northern Eurasia as inferred from an ensemble of regional climate projections under the IPCC RCP8.5 scenario. / Shkolnik, Igor; Pavlova, Tatiana; Efimov, Sergey; Zhuravlev, Sergey.

в: Climate Dynamics, Том 50, № 1-2, 01.01.2018, стр. 215-230.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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Shkolnik, Igor ; Pavlova, Tatiana ; Efimov, Sergey ; Zhuravlev, Sergey. / Future changes in peak river flows across northern Eurasia as inferred from an ensemble of regional climate projections under the IPCC RCP8.5 scenario. в: Climate Dynamics. 2018 ; Том 50, № 1-2. стр. 215-230.

BibTeX

@article{26a958fe7a0c4410a3d79cc23cdd9177,
title = "Future changes in peak river flows across northern Eurasia as inferred from an ensemble of regional climate projections under the IPCC RCP8.5 scenario",
abstract = "Climate change simulation based on 30-member ensemble of Voeikov Main Geophysical Observatory RCM (resolution 25 km) for northern Eurasia is used to drive hydrological model CaMa-Flood. Using this modeling framework, we evaluate the uncertainties in the future projection of the peak river discharge and flood hazard by 2050–2059 relative to 1990–1999 under IPCC RCP8.5 scenario. Large ensemble size, along with reasonably high modeling resolution, allows one to efficiently sample natural climate variability and increase our ability to predict future changes in the hydrological extremes. It has been shown that the annual maximum river discharge can almost double by the mid-XXI century in the outlets of major Siberian rivers. In the western regions, there is a weak signal in the river discharge and flood hazard, hardly discernible above climate variability. Annual maximum flood area is projected to increase across Siberia mostly by 2–5% relative to the baseline period. A contribution of natural climate variability at different temporal scales to the uncertainty of ensemble prediction is discussed. The analysis shows that there expected considerable changes in the extreme river discharge probability at locations of the key hydropower facilities. This suggests that the extensive impact studies are required to develop recommendations for maintaining regional energy security.",
keywords = "Climate projection, Flood, Hydrological models, Large ensemble, Regional atmospheric model, River discharge",
author = "Igor Shkolnik and Tatiana Pavlova and Sergey Efimov and Sergey Zhuravlev",
note = "Publisher Copyright: {\textcopyright} 2017, Springer-Verlag Berlin Heidelberg.",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/s00382-017-3600-6",
language = "English",
volume = "50",
pages = "215--230",
journal = "Climate Dynamics",
issn = "0930-7575",
publisher = "Springer Nature",
number = "1-2",

}

RIS

TY - JOUR

T1 - Future changes in peak river flows across northern Eurasia as inferred from an ensemble of regional climate projections under the IPCC RCP8.5 scenario

AU - Shkolnik, Igor

AU - Pavlova, Tatiana

AU - Efimov, Sergey

AU - Zhuravlev, Sergey

N1 - Publisher Copyright: © 2017, Springer-Verlag Berlin Heidelberg.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Climate change simulation based on 30-member ensemble of Voeikov Main Geophysical Observatory RCM (resolution 25 km) for northern Eurasia is used to drive hydrological model CaMa-Flood. Using this modeling framework, we evaluate the uncertainties in the future projection of the peak river discharge and flood hazard by 2050–2059 relative to 1990–1999 under IPCC RCP8.5 scenario. Large ensemble size, along with reasonably high modeling resolution, allows one to efficiently sample natural climate variability and increase our ability to predict future changes in the hydrological extremes. It has been shown that the annual maximum river discharge can almost double by the mid-XXI century in the outlets of major Siberian rivers. In the western regions, there is a weak signal in the river discharge and flood hazard, hardly discernible above climate variability. Annual maximum flood area is projected to increase across Siberia mostly by 2–5% relative to the baseline period. A contribution of natural climate variability at different temporal scales to the uncertainty of ensemble prediction is discussed. The analysis shows that there expected considerable changes in the extreme river discharge probability at locations of the key hydropower facilities. This suggests that the extensive impact studies are required to develop recommendations for maintaining regional energy security.

AB - Climate change simulation based on 30-member ensemble of Voeikov Main Geophysical Observatory RCM (resolution 25 km) for northern Eurasia is used to drive hydrological model CaMa-Flood. Using this modeling framework, we evaluate the uncertainties in the future projection of the peak river discharge and flood hazard by 2050–2059 relative to 1990–1999 under IPCC RCP8.5 scenario. Large ensemble size, along with reasonably high modeling resolution, allows one to efficiently sample natural climate variability and increase our ability to predict future changes in the hydrological extremes. It has been shown that the annual maximum river discharge can almost double by the mid-XXI century in the outlets of major Siberian rivers. In the western regions, there is a weak signal in the river discharge and flood hazard, hardly discernible above climate variability. Annual maximum flood area is projected to increase across Siberia mostly by 2–5% relative to the baseline period. A contribution of natural climate variability at different temporal scales to the uncertainty of ensemble prediction is discussed. The analysis shows that there expected considerable changes in the extreme river discharge probability at locations of the key hydropower facilities. This suggests that the extensive impact studies are required to develop recommendations for maintaining regional energy security.

KW - Climate projection

KW - Flood

KW - Hydrological models

KW - Large ensemble

KW - Regional atmospheric model

KW - River discharge

UR - http://www.scopus.com/inward/record.url?scp=85014220035&partnerID=8YFLogxK

U2 - 10.1007/s00382-017-3600-6

DO - 10.1007/s00382-017-3600-6

M3 - Article

AN - SCOPUS:85014220035

VL - 50

SP - 215

EP - 230

JO - Climate Dynamics

JF - Climate Dynamics

SN - 0930-7575

IS - 1-2

ER -

ID: 97812115