Decomposing the satellite precipitation error propagation through the rainfall-runoff processes

被引:13
|
作者
Mei, Yiwen [1 ]
Anagnostou, Emmanouil N. [1 ]
Shen, Xinyi [1 ]
Nikolopoulos, Efthymios I. [1 ,2 ]
机构
[1] Univ Connecticut, Civil & Environm Engn, Storrs, CT 06269 USA
[2] ITC, Athens, Greece
关键词
Satellite precipitation; Error propagation; Runoff generation; Runoff routing; Hydrological model; SPACE-TIME VARIABILITY; FLOOD RESPONSE; PASSIVE MICROWAVE; SOIL-MOISTURE; UNCERTAINTY; GENERATION; DEPENDENCE;
D O I
10.1016/j.advwatres.2017.09.012
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This study uses an analytical hydrological framework to investigate the error propagation from satellite precipitation products to hydrological simulations. Specifically, the analytical formulation of the framework allows linking the error in hydrograph properties (i.e., cumulative volume, centroid, and dispersion) to the space-time characteristics of error in satellite-precipitation, runoff generation, and routing. Main finding from this study are that (i) the error in spatial and temporal covariance between rainfall and runoff generation is not contributing significantly to the error in cumulative volume of flood events; (ii) errors in runoff generation and routing time are of equal importance in terms of the overall error in the arrival of flood event centroid; and (iii) errors in the variability of runoff generation time is the main contributor to the error in dispersion of flood event hydrograph. Furthermore, sensitivity tests show that errors in hydrograph properties are strongly correlated with errors in the space-time characteristics of precipitation, runoff generation and routing parameters estimated by the analytical framework. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:253 / 266
页数:14
相关论文
共 50 条
  • [1] Rainfall-runoff processes and modelling
    O'Loughlin, G.
    Huber, W.
    Chocat, B.
    Journal of Hydraulic Research/De Recherches Hydrauliques, 1996, 34 (06): : 733 - 751
  • [2] Rainfall-runoff processes and modelling
    OLoughlin, G
    Huber, W
    Chocat, B
    JOURNAL OF HYDRAULIC RESEARCH, 1996, 34 (06) : 733 - 751
  • [3] Hydrologic investigations of radar-rainfall error propagation to rainfall-runoff model hydrographs
    Ghimire, Ganesh R.
    Krajewski, Witold F.
    Ayalew, Tibebu B.
    Goska, Radoslaw
    ADVANCES IN WATER RESOURCES, 2022, 161
  • [4] Evaluation of GPM IMERG satellite precipitation for rainfall-runoff modelling in Great Britain
    Gautam, Jagrati
    Sungmin, O.
    Vinod, Degavath
    Mahesha, Amai
    HYDROLOGICAL SCIENCES JOURNAL, 2024, 69 (14) : 2010 - 2025
  • [5] Performance of GPM-IMERG satellite precipitation for rainfall-runoff modeling in Indonesia
    Hidayah, Entin
    Saifurridzal, Saifurridzal
    Wiyono, Retno Utami Agung
    Widiarti, Wiwik Yunarni
    Martini, Resa
    Juliastuti, Juliastuti
    Riduwan, Mohammad
    WATER PRACTICE AND TECHNOLOGY, 2024, 19 (10) : 3909 - 3928
  • [6] Rainfall-runoff processes and modelling - Discussion
    Wong, TSW
    JOURNAL OF HYDRAULIC RESEARCH, 1998, 36 (02) : 281 - 283
  • [7] Rainfall-runoff analysis based on competing linear impulse responses: decomposition of rainfall-runoff processes
    Yoo, Chulsang
    Park, Jooyoung
    HYDROLOGICAL PROCESSES, 2008, 22 (05) : 660 - 669
  • [8] A refined method for the simulation of catchment rainfall-runoff based on satellite-precipitation downscaling
    Jian, Jihao
    He, Siming
    Liu, Wei
    Liu, Shuang
    Guo, Liping
    JOURNAL OF HYDROLOGY, 2025, 653
  • [9] Error influence of radar rainfall estimate on rainfall-runoff simulation
    Taewoong Park
    Taesam Lee
    Sora Ahn
    Dongryul Lee
    Stochastic Environmental Research and Risk Assessment, 2016, 30 : 283 - 292
  • [10] Error influence of radar rainfall estimate on rainfall-runoff simulation
    Park, Taewoong
    Lee, Taesam
    Ahn, Sora
    Lee, Dongryul
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2016, 30 (01) : 283 - 292