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by Delrieu, G., Boudevillain, B., Wijbrans, A., Faure, D., Bonnifait, L., Kirstetter, P.-E. and Confoland, A.
Abstract:
This article describes a methodology to estimate rainfall based on raingauge and radar data available from operational networks in the Cévennes-Vivarais region, France. Applied over the year 2008, this approach intends to produce long-term rainfall reanalyses for hydrological applications. The radar mosaic and the raingauge network are "in competition" with the application of three estimation methods based on each observation system separately, and their fusion. We show that the radar contributes effectively only for the rainy periods when the 0 °C isotherm is above 2000 m. For summer and fall events, which are those leading to the most remarkable floods in the region, the radar provides undeniable added value. Data merging by kriging with external drift can effectively combine the qualities of the two observation systems, i.e. the spatial and temporal resolution of the radar and direct measurements of raingauges. For these episodes, the gain provided by the radar is more pronounced at the smallest spatial and temporal scales.The quantification of estimation errors is a fundamental aspect of this work, discussed in the context of geostatistics.
Reference:
Delrieu, G., Boudevillain, B., Wijbrans, A., Faure, D., Bonnifait, L., Kirstetter, P.-E. and Confoland, A., 2013: Prototype de ré-analyses pluviométriques pour la région Cévennes-VivaraisLa Météorologie, 83, 35-41. (ACLN)
Bibtex Entry:
@Article{Delrieu2013,
  Title                    = {Prototype de ré-analyses pluviométriques pour la région Cévennes-Vivarais},
  Author                   = {Delrieu, G. and Boudevillain, B. and Wijbrans, A. and Faure, D. and Bonnifait, L. and Kirstetter, P.-E. and Confoland, A.},
  Journal                  = {La Météorologie},
  Year                     = {2013},
  Pages                    = {35-41},
  Volume                   = {83},

  Abstract                 = {This article describes a methodology to estimate rainfall based on raingauge and radar data available from operational networks in the Cévennes-Vivarais region, France. Applied over the year 2008, this approach intends to produce long-term rainfall reanalyses for hydrological applications. The radar mosaic and the raingauge network are "in competition" with the application of three estimation methods based on each observation system separately, and their fusion. We show that the radar contributes effectively only for the rainy periods when the 0 °C isotherm is above 2000 m. For summer and fall events, which are those leading to the most remarkable floods in the region, the radar provides undeniable added value. Data merging by kriging with external drift can effectively combine the qualities of the two observation systems, i.e. the spatial and temporal resolution of the radar and direct measurements of raingauges. For these episodes, the gain provided by the radar is more pronounced at the smallest spatial and temporal scales.The quantification of estimation errors is a fundamental aspect of this work, discussed in the context of geostatistics.},
  Comment                  = {ACLN},
  Doi                      = {10.4267/2042/52052},
  Owner                    = {hymexw},
  Quality                  = {1},
  Timestamp                = {2016.01.08},
  Url                      = {http://hdl.handle.net/2042/52052}
}