Moya Álvarez, Aldo SaturninoMartínez Castro, DanielKumar, ShailendraEstevan, RenéSilva Vidal, Yamina2019-02-122019-02-122019-08-01Moya-Álvarez, A. S., Martínez-Castro, D., Kumar, S., Estevan, R. & Silva, Y. (2019). Response of the WRF model to different resolutions in the rainfall forecast over the complex Peruvian orography.==$Theoretical and Applied Climatology, 137,$==2993–3007. https://doi.org/10.1007/s00704-019-02782-3index-oti2018http://hdl.handle.net/20.500.12816/4081The main objective of the research is to evaluate the response of the WRF model to the domains and resolutions that are used in complex orographic conditions like the central Andes of Peru for the forecast of short- and medium-term rainfall. To do this, the model was configured with four domains and the verifications were made using data from meteorological stations located within the study area and TRMMdata. Experiments were conducted for nine 10-day periods of rainy days, five cases of extreme rainfall, and one event with hail fall on the region. In general, the model overestimates precipitation, but, in the five cases of extreme rainfall, and in the case of the hailstorm, underestimation was observed, so it is not accurate to assert in an absolute way thatWRF overestimates precipitation in the study region. It was observed that the 3-km domain simulate effectively the accumulated rainfall, while the 0.75-km domain reproduces better the process at local scale. The results in the domain with the coarsest resolution of 18 km showed the lowest skill in simulating rainfall compared to the higher resolutions. Thus, it is concluded that an increase of resolution leads to an improvement of the results of rainfall forecast in the region and the structure of clouds systems. At the same time, the domains with resolutions of 18 km showed poorer results.application/pdfspainfo:eu-repo/semantics/restrictedAccessOrographyAtmospheric precipitationWRF modelWeather forecastLAMARinfo:eu-repo/semantics/articlehttp://purl.org/pe-repo/ocde/ford#1.05.00http://purl.org/pe-repo/ocde/ford#1.05.09Theoretical and Applied Climatologyhttps://doi.org/10.1007/s00704-019-02782-3