RT info:eu-repo/semantics/article
T1 Assessing the performance of the HARMONIE-AROME and WRF-ARW numerical models in North Atlantic Tropical Transitions
A1 Calvo Sancho, Carlos
A1 Quitián Hernández, Lara
A1 González Alemán, Juan Jesús
A1 Bolgiani, Pedro
A1 Santos Muñoz, Daniel
A1 Martín Pérez, María Luisa
K1 Matemáticas
K1 Artificial intelligence
K1 Tropical Transitions
K1 North Atlantic basin
K1 Object-based verification
K1 WRF
K1 Transiciones tropicales
K1 Cuenca del Atlántico Norte
K1 Verificación basada en objetos
K1 12 Matemáticas
AB Tropical cyclones (TCs) can develop as a result of the tropical transition (TT) process, which occurs when an extratropical cyclone (EC) begins to exhibit tropical characteristics, forming a TC. In this study, four TT processes that lead to a hurricane structure [Delta (2005), Ophelia (2017), Leslie (2018), and Theta (2020)] are evaluated using two high-resolution numerical models (WRF and HARMONIE-AROME). Both tracks and intensities of the cyclones are assessed by comparing the simulated minimum sea level pressure and maximum wind speed to an observational dataset. Moreover, a spatial verification is performed by comparing the MSG-SEVIRI brightness temperature (BT) and accumulated precipitation (IMERG) to the corresponding simulations accomplished by both models. Analyzing the track results, the WRF model, on average, outstands HARMONIE-AROME. However, it is the HARMONIE-AROME model that performs better than WRF when reproducing the intensity of these cyclones. Concerning the BT spatial validation, HARMONIE-AROME slightly outperformed WRF when reproducing the cyclone's structure but failed when simulating the BT amplitude. Besides, both models achieved a nearly perfect cyclone location. In terms of accumulated precipitation results, the HARMONIE-AROME model overestimates the larger structures while underestimating the smaller ones, whereas the WRF model underestimates the bigger structures, being poorly located by both models. Although it is difficult to establish which numerical model performs better, the overall results show an outstanding of the HARMONIE-AROME model over the WRF model when simulating TT processes.
PB Elsevier
SN 0169-8095
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/59637
UL https://uvadoc.uva.es/handle/10324/59637
LA eng
NO Atmospheric Research, 2023, vol. 291, 106801
NO Producción Científica
DS UVaDOC
RD 28-jun-2024