Spatial classification of precipitation from operational radar data

C. Z. Van De Beek*, R. Uijlenhoet, I. Holleman

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


This research is intended to improve on existing rainfall estimation algorithms derived from operational radar data as well as to facilitate the study of spatial and temporal variability of rainfall. Using the C-band radar data of the KNMI at De Bilt (the Netherlands) several operational products with a grid of 256 by 256 pixels are produced with a resolution of 2.5km × 2.5km from which precipitation characteristics can be derived. Commonly a single Z-R relation is applied on CAPPI fields to create an estimate of rainfall. The proposed algorithm tries to make a distinction between convective and stratiform precipitation types and therefore will offer a chance to improve upon the estimation of precipitation. First an algorithm based on reflectivity intensity is to provide a first guess of convective and stratiform areas. Secondly separate reflectivity areas (RAs) are identified and tracked in consecutive images to follow their development. Within the first step CAPPI, lightning, echo-top height and Vertically Integrated Liquid (VIL) data can be used to identify more accurately different precipitating areas. Future plans also involve incorporating volume scans directly into the algorithm.

Original languageEnglish
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
Event11th Conference on Mesoscale Processes and the 32nd Conference on Radar Meteorology - Boston, Albuquerque, NM, United States
Duration: 24 Oct 200529 Oct 2005


Conference11th Conference on Mesoscale Processes and the 32nd Conference on Radar Meteorology
Country/TerritoryUnited States
CityAlbuquerque, NM


Dive into the research topics of 'Spatial classification of precipitation from operational radar data'. Together they form a unique fingerprint.

Cite this