Uncertainty Analysis of Future Projections of Precipitation and Temperature for the Var Basin, France

被引:0
|
作者
Ghulami, Masoud [1 ]
Gourbesville, Philippe [1 ]
机构
[1] Univ Cote dAzur, Polytech Lab, 930 Route Colles, F-06903 Sophia Antipolis, France
关键词
Climate change; EURO-CORDEX; Var River Basin; Temperature; Precipitation;
D O I
10.3850/IAHR-39WC2521716X20221288
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to understand the future changes of water resources and its impact assessments, it is necessary to have reliable projections of temperature and precipitation. A high -resolution regional climate change ensemble is available for Europe within the World Climate Research Program Coordinated Regional Downscaling Experiment (EURO-CORDEX) initiative. These simulations should be validated against observations before they can be used in hydrological models or other assessment tools. The Var catchment, located at the southeast part of France is the largest river basin in the French Mediterranean Alps region. The Var low valley and its unconfined alluvial aquifer is the main water resource for around 600,000 inhabitants who live in the cities and towns near the river mouth such as Nice and St Laurent du Var. Here in this study, the future changes of temperature and precipitation derived from five RCMs. The delta changes approach was used as a downscaling and bias correction method. The results of analysis show that the future temperature might increase, with higher values under RCP 8.5 as it is expected, for all over the basin. The changes are larger for the upstream part of the basin. The results of precipitation changes indicate that in the future period (2031-2050) compared to the baseline (1986-2050), the annual precipitation will might decrease for the most areas of the basin while it is slightly expected to have an increase for the upstream part, under both RCP scenarios.
引用
收藏
页码:3110 / 3113
页数:4
相关论文
共 50 条
  • [31] The potential to narrow uncertainty in projections of regional precipitation change
    Hawkins, Ed
    Sutton, Rowan
    CLIMATE DYNAMICS, 2011, 37 (1-2) : 407 - 418
  • [32] The potential to narrow uncertainty in projections of regional precipitation change
    Ed Hawkins
    Rowan Sutton
    Climate Dynamics, 2011, 37 : 407 - 418
  • [33] Historical Changes and Future Projections of Extreme Temperature and Precipitation along the Sichuan–Tibet Railway
    Jingpeng ZHANG
    Tianbao ZHAO
    Libo ZHOU
    Lingkun RAN
    Journal of Meteorological Research, 2021, 35 (03) : 402 - 415
  • [34] Climate change signal of future climate projections for Aachen, Germany, in terms of temperature and precipitation
    Buttstaedt, Mareike
    Schneider, Christoph
    METEOROLOGISCHE ZEITSCHRIFT, 2014, 23 (01) : 63 - 74
  • [35] Future projections of precipitation and temperature extremes at Sohra (Cherrapunji) using Statistical Downscaling Model
    Kalita, Raju
    Kalita, Dipangkar
    Saxena, Atul
    MAUSAM, 2024, 75 (01): : 181 - 190
  • [36] Statistical downscaling of future temperature and precipitation projections in Iraq under climate change scenarios
    Hashim, Bassim Mohammed
    Alnaemi, Amer Naji Ahmed
    Hussain, Basim A.
    Abduljabbar, Suhair A.
    Doost, Ziaul Haq
    Yaseen, Zaher Mundher
    PHYSICS AND CHEMISTRY OF THE EARTH, 2024, 135
  • [37] Uncertainty in future projections of the North Pacific subtropical high and its implication for California winter precipitation change
    Choi, Jung
    Lu, Jian
    Son, Seok-Woo
    Frierson, Dargan M. W.
    Yoon, Jin-Ho
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (02) : 795 - 806
  • [38] Ichnofabric analysis of the Pliocene marine sediments of the Var basin (Nice, SE France)
    de Gibert, JM
    Martinell, J
    GEOBIOS, 1998, 31 (02) : 271 - 281
  • [39] Future projections and uncertainty assessment of precipitation extremes in the Korean peninsula from the CMIP5 ensemble
    Lee, Youngsaeng
    Shin, Younggwan
    Boo, Kyung-On
    Park, Jeong-Soo
    ATMOSPHERIC SCIENCE LETTERS, 2020, 21 (02):
  • [40] Reducing uncertainty in local temperature projections
    Qasmi, Said
    Ribes, Aurelien
    SCIENCE ADVANCES, 2022, 8 (41)