Articles | Volume 12, issue 8
https://doi.org/10.5194/gmd-12-3401-2019
https://doi.org/10.5194/gmd-12-3401-2019
Methods for assessment of models
 | 
05 Aug 2019
Methods for assessment of models |  | 05 Aug 2019

Assessment of wavelet-based spatial verification by means of a stochastic precipitation model (wv_verif v0.1.0)

Sebastian Buschow, Jakiw Pidstrigach, and Petra Friederichs

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sebastian Buschow on behalf of the Authors (27 Jun 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (05 Jul 2019) by Simon Unterstrasser
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Short summary
Highly resolved forecasts of precipitation fields are difficult to evaluate since individual rain features are typically not placed precisely at the right location. Instead of comparing forecasts and observations pixel by pixel, we base our verification on the fields' wavelet transforms which compactly summarize the overall structure. The methodology is rigorously tested using randomly generated rain fields for which that structure can be determined at will.