GCM and downscaling uncertainty in modelling of current river flow: why is it important for future impacts?

被引:0
|
作者
Prudhomme, Christel [1 ]
机构
[1] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
关键词
climate change impact; downscaling; GCM; RCM; SDSM; uncertainty;
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper compares the uncertainty in flow simulation due to the modelling of precipitation (using three global circulation Models, GCMs, and two downscaling techniques) with the current natural flow variability in three catchments in Scotland. The reference daily flow series, obtained by running a calibrated continuous rainfall-runoff model with observed catchment rainfall and potential evaporation, is compared with simulations from a range of different precipitation scenarios, representative of the climate modelling uncertainty and cut-rent natural variability. Results show that the natural variability can be large and differs from one catchnient to another. The reproduction of climate variability from different GCMs is not always within this natural variability and there is some regional variation in the GCMs' and downscaling techniques' ability to reproduce the current climate. The uncertainty due to GCMs is consistently larger than that of downscaling techniques.
引用
收藏
页码:375 / 381
页数:7
相关论文
共 50 条
  • [1] Modelling uncertainty on future river flow sequences
    Seidou, O
    Rousselle, J
    Lefebvre, M
    Lauzon, N
    Ribeiro, J
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2002, 47 (03): : 367 - 385
  • [2] Uncertainty Impacts of Climate Change and Downscaling Methods on Future Runoff Projections in the Biliu River Basin
    Zhu, Xueping
    Zhang, Aoran
    Wu, Penglin
    Qi, Wei
    Fu, Guangtao
    Yue, Guangtao
    Liu, Xiaoqing
    [J]. WATER, 2019, 11 (10)
  • [3] Development of a statistical downscaling approach for projecting future river runoff from GCM outputs
    Liu, C. M.
    Lin, S. H.
    Lin, S. S.
    Yen, T. H.
    Kuo, J. T.
    [J]. PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON WATER RESOURCES MANAGEMENT, 2007, : 220 - +
  • [4] Evaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method in the Jing River of China
    Li, Zhi
    Jin, Jiming
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (11) : 5531 - 5546
  • [5] From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches
    Xu, CY
    [J]. PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 1999, 23 (02): : 229 - 249
  • [6] Why is the choice of future climate scenarios for species distribution modelling important?
    Beaumont, Linda J.
    Hughes, Lesley
    Pitman, A. J.
    [J]. ECOLOGY LETTERS, 2008, 11 (11) : 1135 - 1146
  • [7] Future evolution and uncertainty of river flow regime change in a deglaciating river basin
    Mackay, Jonathan D.
    Barrand, Nicholas E.
    Hannah, David M.
    Krause, Stefan
    Jackson, Christopher R.
    Everest, Jez
    Adalgeirsdottir, Gudfinna
    Black, Andrew R.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2019, 23 (04) : 1833 - 1865
  • [8] Modelling the impacts of transport telematics: current limitations and future developments
    Chatterjee, K
    McDonald, M
    [J]. TRANSPORT REVIEWS, 1999, 19 (01) : 57 - 80
  • [9] Climate Change Impacts on Jordan River Flow: Downscaling Application from a Regional Climate Model
    Samuels, Rana
    Rimmer, Alon
    Hartmann, Andreas
    Krichak, Simon
    Alpert, Pinhas
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2010, 11 (04) : 860 - 879
  • [10] Future impacts of river flow on hydropower generation in Great Britain
    Golgojan, Ana-Diana
    White, Christopher J.
    Bertram, Douglas
    [J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2024,