Daily rainfall estimation using a GIS with weather radar imagery

被引:0
|
作者
Vilchis-Mata, Ivan [1 ]
Quentin, Emmanuelle [2 ]
Ba, Khalidou M. [1 ]
Diaz-Delgado, Carlos [1 ]
机构
[1] Univ Autonoma Estado Mexico, Fac Ingn, Ctr Interamer Recursos Agua, Unidad San Cayetano, Toluca 50200, Estado De Mexic, Mexico
[2] UNL, Ctr Integrado Geomat Ambiental CINFA, Loja, Ecuador
来源
TECNOLOGIA Y CIENCIAS DEL AGUA | 2011年 / 2卷 / 04期
关键词
rainfall; weather radar; GIS-Idrisi; rainfall estimation;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
VILCHIS-MATA, I., QUENTIN, E., BA, K.M. & DIAZ-DELGADO, C. Daily rainfall estimation using a GIS with weather radar imagery. Water Technology and Sciences (in Spanish). Vol. II, No. 4, October-December, 2011, pp. 167-174. This research focuses on the integration, error correction and quantitative estimation of daily rainfall data based on C-Band weather radar imagery. This work includes a methodological proposal and a geomatic application in a Geographic Information System (Idrisi). The case study was based on the Cerro Catedral weather radar located in central Mexico, with a spatial and temporal resolution of 832.78 in and 15 min, respectively. Most determination coefficients (r(2)) for estimated daily rainfall based on radar information and information obtained by the Automatic Weather Stations ranged between 0.50 and 0.90, within a 150 km influence radius. Based on these results, the geomatic tool built serves as an alternative for estimating daily rainfall that improves and complements the rain gauge network. This facilitates the understanding of spatial-temporary variability in rainfall and justifies its use in hydrological and studies on integrated water resources management studies.
引用
收藏
页码:167 / 174
页数:8
相关论文
共 50 条
  • [21] Rainfall erosivity estimation using daily rainfall amounts for South Australia
    Yu, B
    Rosewell, CJ
    AUSTRALIAN JOURNAL OF SOIL RESEARCH, 1996, 34 (05): : 721 - 733
  • [22] Integration of weather radar data into a raster GIS framework for improved flood estimation
    Yu, B.
    Seed, A.
    Pu, L.
    Malone, T.
    ATMOSPHERIC SCIENCE LETTERS, 2005, 6 (01): : 66 - 70
  • [23] Benchmarking KDP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations
    Aldana, Miguel
    Pulkkinen, Seppo
    von Lerber, Annakaisa
    Kumjian, Matthew R.
    Moisseev, Dmitri
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2025, 18 (03) : 793 - 816
  • [24] The Rainfall Measurement using Dual-polarization Doppler Weather Radar
    Hu, Mingbao
    He, Hongbing
    Zhao, Jingzhi
    Zhao, Liang
    ADVANCES IN HYDROLOGY AND HYDRAULIC ENGINEERING, PTS 1 AND 2, 2012, 212-213 : 63 - +
  • [25] Investigations in radar rainfall estimation using neural networks
    Li, W
    Chandrasekar, V
    Xu, G
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2347 - 2349
  • [26] Weather Radar Spectral Estimation Using Sparse Models
    Garcia, Manuel Redondo
    Hurtado, Martin
    Pazos, Sebastian
    Muravchik, Carlos H.
    2018 IEEE BIENNIAL CONGRESS OF ARGENTINA (ARGENCON), 2018,
  • [27] RAINFALL-RUNOFF ESTIMATION USING DIGITAL RADAR
    RussellA.Kutzman
    PeterS.Ray
    Acta Meteorologica Sinica, 1995, (02) : 129 - 151
  • [28] ACCURACY OF DAILY RAINFALL MEASUREMENTS BY RADAR
    JOSS, J
    THAMS, JC
    WALDVOGE.A
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1968, 49 (5P2) : 570 - &
  • [29] Weather radar rainfall data in urban hydrology
    Thorndahl, Soren
    Einfalt, Thomas
    Willems, Patrick
    Nielsen, Jesper Ellerbaek
    ten Veldhuis, Marie-Claire
    Arnbjerg-Nielsen, Karsten
    Rasmussen, Michael R.
    Molnar, Peter
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (03) : 1359 - 1380
  • [30] RAINFALL MEASUREMENTS BY WEATHER RADAR - APPLICATIONS TO HYDROLOGY
    BARGE, BL
    HUMPHRIES, RG
    MAH, SJ
    KUHNKE, WK
    WATER RESOURCES RESEARCH, 1979, 15 (06) : 1380 - 1386