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
  • [31] Estimation of depth-area relationships using radar-rainfall data
    Durrans, SR
    Julian, LT
    Yekta, M
    JOURNAL OF HYDROLOGIC ENGINEERING, 2002, 7 (05) : 356 - 367
  • [32] Radar rainfall estimation for the identification of debris-flow occurrence thresholds
    Marra, Francesco
    Nikolopoulos, Efthymios I.
    Creutin, Jean Dominique
    Borga, Marco
    JOURNAL OF HYDROLOGY, 2014, 519 : 1607 - 1619
  • [33] Using Weather Radar Data (Rainfall and Lightning Flashes) for the Analysis of Debris Flows Occurrence in Emilia-Romagna Apennines (Italy)
    Ciccarese, Giuseppe
    Corsini, Alessandro
    Alberoni, Pier Paolo
    Celano, Miria
    Fornasiero, Anna
    ADVANCING CULTURE OF LIVING WITH LANDSLIDES, VOL 4: DIVERSITY OF LANDSLIDE FORMS, 2017, : 437 - 448
  • [34] Long-term assessment of bias adjustment in radar rainfall estimation
    Borga, M
    Tonelli, F
    Moore, RJ
    Andrieu, H
    WATER RESOURCES RESEARCH, 2002, 38 (11) : 8 - 1
  • [35] Radar rainfall estimation for flash flood forecasting in small urban watersheds
    Smith, James A.
    Baeck, Mary Lynn
    Meierdiercks, Katherine L.
    Miller, Andrew J.
    Krajewski, Witold F.
    ADVANCES IN WATER RESOURCES, 2007, 30 (10) : 2087 - 2097
  • [36] Rainfall Estimation From Ground Radar and TRMM Precipitation Radar Using Hybrid Deep Neural Networks
    Chen, Haonan
    Chandrasekar, V
    Tan, Haiming
    Cifelli, Robert
    GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (17-18) : 10669 - 10678
  • [37] Instantaneous rainfall estimation using neural network from multispectral observations of SEVIRI radiometer and its application in estimation of daily and monthly rainfall
    Lazri, Mourad
    Ameur, Soltane
    Mohia, Yacine
    ADVANCES IN SPACE RESEARCH, 2014, 53 (01) : 138 - 155
  • [38] Using microwave links to adjust the radar rainfall field
    Cummings, R. J.
    Upton, G. J. G.
    Holt, A. R.
    Kitchen, M.
    ADVANCES IN WATER RESOURCES, 2009, 32 (07) : 1003 - 1010
  • [39] Recalibration of cumulative rainfall estimates by weather radar over a large area
    Mazza, Alessandro
    Antonini, Andrea
    Melani, Samantha
    Ortolania, Alberto
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [40] Graph4GIS: Geographical graphs for GIS platforms based on weather radar dataset
    Jorge, Aurelienne
    Freitas, Vander L. S.
    Costa, Izabelly C.
    Santos, Leonardo B. L.
    SOFTWARE IMPACTS, 2023, 17