Home About HyMeX
Motivations
Science questions
Observation strategy
Modelling strategy
Target areas
Key documents
Organisation
International coordination
Working groups
Task teams
National contributions
Endorsements
Resources
Database
Data policy
Publications
Education and summer schools
Drifting balloons (BAMED)
SOP web page
Google maps data visualisation
Workshops Projects
ASICS-MED
MOBICLIMEX
MUSIC
IODA-MED
REMEMBER
FLOODSCALE
EXAEDRE
Offers Links Contacts
Science & Task teams
Science teams
Task teams
Implementation plan
Coordination
International Scientific Steering Committee (ISSC)
Executive Committee for Implementation and Science Coordination (EC-ISC)
Executive Committee - France (EC-Fr)
HyMeX France
HyMeX Italy
HyMeX Spain
Archive
by Boudevillain, B., Delrieu, G., Wijbrans, A. and Confoland, A.
Abstract:
This work aims at providing quantitative precipitation estimates (QPEs) for the Cévennes-Vivarais region, France, over temporal (1–6 h) and spatial (1–300 km2) scales relevant for flash-flood prediction in that region. A systematic implementation of three estimation methods (radar QPE, hourly raingauge Ordinary Kriging – OK – and merging of radar and raingauge data through Kriging with External Drift – KED) proves the KED method to systematically outperform the concurrent approaches for the 131 main rain events selected during the period 2007–2014. Error models, assuming the standard deviation of the QPE error to be a bi-linear function of the rain rate and the kriging normalized estimation standard deviation, are parameterized for the KED and OK QPEs for the considered temporal and spatial scales. The error models are shown to depend on the type of rain event (Cévennes rain events, localized convection, widespread rainfall) and physical parameters such as the 0 °C isotherm altitude and the rain intermittency. The added-value of the radar network in terms of QPE with respect to the hourly raingauge network is larger for localized convection rain events as well as for the smallest space–time scales which are those of interest for flash-flood prediction in the region.
Reference:
Boudevillain, B., Delrieu, G., Wijbrans, A. and Confoland, A., 2016: A high-resolution rainfall re-analysis based on radar-raingauge merging in the Cévennes-Vivarais region, FranceJournal of Hydrology, 541, 14-23.
Bibtex Entry:
@Article{Boudevillain2016,
  Title                    = {A high-resolution rainfall re-analysis based on radar-raingauge merging in the Cévennes-Vivarais region, France},
  Author                   = {Boudevillain, B. and Delrieu, G. and Wijbrans, A. and Confoland, A.},
  Journal                  = {Journal of Hydrology},
  Year                     = {2016},

  Month                    = {October},
  Number                   = {Part A},
  Pages                    = {14-23},
  Volume                   = {541},

  Abstract                 = {This work aims at providing quantitative precipitation estimates (QPEs) for the Cévennes-Vivarais region, France, over temporal (1–6 h) and spatial (1–300 km2) scales relevant for flash-flood prediction in that region. A systematic implementation of three estimation methods (radar QPE, hourly raingauge Ordinary Kriging – OK – and merging of radar and raingauge data through Kriging with External Drift – KED) proves the KED method to systematically outperform the concurrent approaches for the 131 main rain events selected during the period 2007–2014. Error models, assuming the standard deviation of the QPE error to be a bi-linear function of the rain rate and the kriging normalized estimation standard deviation, are parameterized for the KED and OK QPEs for the considered temporal and spatial scales. The error models are shown to depend on the type of rain event (Cévennes rain events, localized convection, widespread rainfall) and physical parameters such as the 0 °C isotherm altitude and the rain intermittency. The added-value of the radar network in terms of QPE with respect to the hourly raingauge network is larger for localized convection rain events as well as for the smallest space–time scales which are those of interest for flash-flood prediction in the region.},
  Copublication            = {4: 4 Fr},
  Doi                      = {10.1016/j.jhydrol.2016.03.058},
  Keywords                 = {Heavy rainfall; Flash-flood; Weather radar; Raingauge; Merging; Kriging with External Drift;},
  Owner                    = {hymexw},
  Timestamp                = {2017.09.11},
  Url                      = {http://dx.doi.org/10.1016/j.jhydrol.2016.03.058}
}