Articles | Volume 23, issue 9
Hydrol. Earth Syst. Sci., 23, 3711–3733, 2019
https://doi.org/10.5194/hess-23-3711-2019

Special issue: Linking landscape organisation and hydrological functioning:...

Hydrol. Earth Syst. Sci., 23, 3711–3733, 2019
https://doi.org/10.5194/hess-23-3711-2019

Research article 16 Sep 2019

Research article | 16 Sep 2019

Quantitative precipitation estimation with weather radar using a data- and information-based approach

Malte Neuper and Uwe Ehret

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Cited articles

Adirosi, E., Volpi, E., Lombardo, F., and Baldini, L.: Raindrop size distribution: Fitting performance of common theoretical models, Adv. Water Resour., 96, 290–305, https://doi.org/10.1016/j.advwatres.2016.07.010, 2016. a
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Bauer, H.-S., Schwitalla, T., Wulfmeyer, V., Bakhshaii, A., Ehret, U., Neuper, M., and Caumont, O.: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test, Tellus A, 67, 25047, https://doi.org/10.3402/tellusa.v67.25047, 2015. a
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Short summary
In this study, we apply a data-driven approach to quantitatively estimate precipitation using weather radar data. The method is based on information theory concepts. It uses predictive relations expressed by empirical discrete probability distributions, which are directly derived from data rather than the standard deterministic functions.