This paper presents a simulation procedure aimed at the redetermination of the hydrological quality that a given weather radar may obtain over a given region in space, typically a hydrologic catchment. First, the influence of three error sources (ground clutter, shadows and effects linked to vertical structure of the atmosphere) is modelled in terms of error on the rain-rate. This modelling relies on the knowledge of the relies and of a climatology of the vertical structure of rain, only. Then, a rainfall-runoff simulation is performed over the catchment of interest. Given reference areal rainfall time series, the radar error simulation procedure is used to generate radar rainfall space-time series. The hydrological impact of the radar errors, and of various radar data processing techniques, can then be evaluated in terms of discharge at the catchment outlet with a distributed hydrologic model (TOPODYN). A case study, devoted to analyse the coverage of the Ardèche basin by the two weather radars operated by Météo France in Nîmes and Bollène, is presented.
Free access
La mesure de pluie par radar : " visibilité hydrologique " en région montagneuse
Radar rainfall measurement : " hydrologic visibility" in mountainous regions
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.