A methodology for temporal disaggregation of daily rain gauge data using satellite precipitation product for improved accuracy in hydrologic simulation

被引:1
|
作者
Kachhawa, Nitin Singh [1 ]
Agnihotri, Prasit Girish [1 ]
机构
[1] Sardar Vallabhbhai Natl Inst Technol, Dept Civil Engn, Surat, Gujarat, India
关键词
extreme floods; HEC-HMS; hydrologic simulation; temporal disaggregation approach; TRMM_3B42RT; RESOLUTION;
D O I
10.2166/wpt.2023.199
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
High-temporal resolution rainfall is a prerequisite for flood risk-related studies. Recently, satellite precipitation products (SPPs) have gained some attention in the hydro-meteorology field, but the application of these products for hydrological studies is still uncertain. This study discusses the methodology for temporal disaggregation of daily rain gauge (DRG) data using SPP for improved accuracy in hydrologic simulation. The objectives of this research article are (i) to temporally dis-aggregate the DRG data using 3-h SPP TRMM_3B42RT; (ii) to suggest the best approach in terms of hydrologic simulation capabilities using the compound factor (CF) technique. The hydrologic simulation in HEC-HMS was performed for various temporally disaggregated rain gauge (TDRG) data and results were analyzed using 10 efficiency criteria. The best approach was selected using the CF technique. The lowest CF of 2.4 reveals that peak discharge can be computed with less than 8% deviation using the TDRG data, which utilizes the least error tile/grid/pixel from rain gauge rainfall value out of four nearby tile/grid/pixel. This study concluded that flood volume can be computed with less than 5% deviation using DRG data but it failed to reproduce the flood peak. This approach has overcome the insufficiency of sub-daily rainfall observation.
引用
收藏
页码:3221 / 3234
页数:14
相关论文
共 20 条
  • [1] USING NEXRAD AND RAIN GAUGE PRECIPITATION DATA FOR HYDROLOGIC CALIBRATION OF SWAT IN A NORTHEASTERN WATERSHED
    Sexton, A. M.
    Sadeghi, A. M.
    Zhang, X.
    Srinivasan, R.
    Shirmohammadi, A.
    [J]. TRANSACTIONS OF THE ASABE, 2010, 53 (05) : 1501 - 1510
  • [2] Modelling Hydrologic Processes in the Mekong River Basin Using a Distributed Model Driven by Satellite Precipitation and Rain Gauge Observations
    Wang, Wei
    Lu, Hui
    Yang, Dawen
    Sothea, Khem
    Jiao, Yang
    Gao, Bin
    Peng, Xueting
    Pang, Zhiguo
    [J]. PLOS ONE, 2016, 11 (03):
  • [3] Performance and Evaluation of Multisensor Precipitation Estimation Algorithm Using a High Density Rain Gauge Network and Hydrologic Simulation
    Gonzalez, Alejandra M. Rojas
    Harmsen, Eric W.
    Pol, Sandra Cruz
    [J]. 21ST CENTURY WATERSHED TECHNOLOGY: IMPROVING WATER QUALITY AND ENVIRONMENT CONFERENCE PROCEEDINGS, 2010,
  • [4] Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela
    Paredes Trejo, Franklin Javier
    Barbosa, Humberto Alves
    Penaloza-Murillo, Marcos A.
    Moreno, Maria Alejandra
    Farias, Asdrubal
    [J]. ATMOSFERA, 2016, 29 (04): : 323 - 342
  • [5] Downscaling and Merging of Daily Scale Satellite Precipitation Data in the Three River Headwaters Region Fused with Cloud Attributes and Rain Gauge Data
    Xu, Chi
    Liu, Chuanqi
    Zhang, Wanchang
    Li, Zhenghao
    An, Bangsheng
    [J]. WATER, 2023, 15 (06)
  • [6] Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation
    Ivkovic, Marija
    Todorovic, Andrijana
    Plavsic, Jasna
    [J]. JOURNAL OF HYDROINFORMATICS, 2018, 20 (04) : 784 - 797
  • [7] Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology
    Garcia-Benadi, Albert
    Bech, Joan
    Gonzalez, Sergi
    Udina, Mireia
    Codina, Bernat
    Georgis, Jean-Francois
    [J]. REMOTE SENSING, 2020, 12 (24) : 1 - 23
  • [8] Merging satellite rainfall estimates and daily rain gauge observations for improved flood simulation in MelkaKuntire catchment, upper Awash Basin, Ethiopia
    Mekonnen, Kirubel
    Melesse, Assefa M.
    Woldesenbet, Tekalegn Ayele
    [J]. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 25
  • [9] Daily Indian Precipitation Analysis Formed from a Merge of Rain-Gauge Data with the TRMM TMPA Satellite-Derived Rainfall Estimates
    Mitra, A. K.
    Bohra, A. K.
    Rajeevan, M. N.
    Krishnamurti, T. N.
    [J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2009, 87A : 265 - 279
  • [10] Validation of the H-SAF precipitation product H03 over Greece using rain gauge data
    Feidas, H.
    Porcu, F.
    Puca, S.
    Rinollo, A.
    Lagouvardos, C.
    Kotroni, V.
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 131 (1-2) : 377 - 398