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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Cited articles

Addison, P. S.: The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance, CRC press, 2017. a
Ahijevych, D., Gilleland, E., Brown, B. G., and Ebert, E. E.: Application of spatial verification methods to idealized and NWP-gridded precipitation forecasts, Weather Forecast., 24, 1485–1497, 2009. a, b
Bachmaier, M. and Backes, M.: Variogram or semivariogram? Variance or semivariance? Allan variance or introducing a new term?, Math. Geosci., 43, 735–740, 2011. a
Brune, S., Kapp, F., and Friederichs, P.: A wavelet-based analysis of convective organization in ICON large-eddy simulations, Q. J. Roy. Meteor. Soc., 144, 2812–2829, 2018. a
Buschow, S.: wv_verif (Version 0.1.0), Zenodo, https://doi.org/10.5281/zenodo.3257511, 2019. a
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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.
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