Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 4061–4080, 2021
https://doi.org/10.5194/hess-25-4061-2021
Hydrol. Earth Syst. Sci., 25, 4061–4080, 2021
https://doi.org/10.5194/hess-25-4061-2021

Research article 13 Jul 2021

Research article | 13 Jul 2021

A climatological benchmark for operational radar rainfall bias reduction

Ruben Imhoff et al.

Data sets

The archived gauge-adjusted (reference) QPE Royal Netherlands Meteorological Institute https://dataplatform.knmi.nl/dataset/rad-nl25-rac-mfbs-em-5min-2-0

Archived 5-min rainfall accumulations from a radar dataset for the Netherlands A. Overeem and R. Imhoff https://doi.org/10.4121/uuid:05a7abc4-8f74-43f4-b8b1-7ed7f5629a01

Climatological adjustment factors for operational radar rainfall bias reduction in the Netherlands R. Imhoff, C. Brauer, K.-J. van Heeringen, H. Leijnse, A. Overeem, A. Weerts, and R. Uijlenhoet https://doi.org/10.4121/13573814

Scientific colour maps (Version 6.0.4) F. Crameri and G. E. Shephard https://doi.org/10.5281/zenodo.4153113

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Short summary
Significant biases in real-time radar rainfall products limit the use for hydrometeorological forecasting. We introduce CARROTS (Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting), a set of fixed bias reduction factors to correct radar rainfall products and to benchmark other correction algorithms. When tested for 12 Dutch basins, estimated rainfall and simulated discharges with CARROTS generally outperform those using the operational mean field bias adjustments.