2024-03-28T12:05:12Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/147522022-06-21T08:21:30Zcom_10612_17col_10612_18
Facultad de Ciencias Biologicas y Ambientales
Merino Suances, Andrés
García Ortega, Eduardo
Navarro, Andrés
Sánchez Gómez, José Luis
Tapiador, Francisco J.
Fisica Aplicada
2022
2022-05-17T09:03:56Z
2022-05-17T09:03:56Z
0169-8095
https://www.sciencedirect.com/science/article/pii/S0169809522002010?via%3Dihub#!
http://hdl.handle.net/10612/14752
10.1016/j.atmosres.2022.106215
.
Precipitation is one of the most relevant fields in atmospheric modeling because of its environmental, social and economic implications. However, precipitation validation from weather model outputs presents substantial challenges, such as measurement uncertainties, use of gridded datasets vs. direct observations, and the selection of statistical goodness-of-fit measures. The main difficulty of working with precipitation is that it can be spatially irregular, especially in extreme events. High temporal aggregation smooths the field and reduces verification uncertainty. For this reason, validations are usually focused on a daily scale. However, many extreme events occur on shorter periods, for which a sub-daily precipitation assessment is required. In this paper, hourly precipitation verification of the Weather Research and Forecasting (WRF) model is explored for 45 extreme precipitation events (EPEs) recorded in northeastern Spain. For this, stations with recorded EPEs were classified according to the hourly distribution of precipitation. WRF simulations were established considering three microphysics and two planetary boundary layer (PBL) parameterizations. Finally, several statistical goodness-of-fit measures and spatial and temporal precipitation distributions were used for evaluating WRF performance. The results showed that microphysics were more important than PBL parameterizations. Goddard and Thompson together with Mellor-Yamada-Nakanishi and Nino PBL gave better results for most of the analyzed characteristics. However, an optimal combination of parameterizations was not obtained for all EPEs, because event characteristics had important effects on model performance.
SI
eng
Elsevier
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Física
Hourly precipitation
WRF model
Physics parameterizations
Precipitation extreme
WRF hourly evaluation for extreme precipitation events
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
LE240P18,PID2019-108470RB-C22,PID2019-108470RB-C21
Atmospheric Research
274
106215