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Assessing the performance of the HARMONIE-AROME and WRF-ARW numerical models in North Atlantic Tropical Transitions
Title: Assessing the performance of the HARMONIE-AROME and WRF-ARW numerical models in North Atlantic Tropical Transitions
Authors: Calvo Sancho, CarlosQuitián Hernández, LaraGonzález-Alemán, Juan Jesús ORCID RESEARCHERID SCOPUSID Autor AEMETBolgiani, PedroSantos Muñoz, DanielAutor AEMETMartín, María Luisa
Keywords: Object-based verification; Tropical Transitions; North Atlantic basin; HARMONIE-AROME; WRF
Issue Date: 2023
Publisher: Elsevier
Citation: Atmospheric Research. 2023, 291, 106801
Publisher version:
Abstract: 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.
Sponsorship : This work was partially supported by research project PID2019-105306RB-I00/AEI/10.13039/ 501100011033 (IBERCANES). This work is also supported by the ECMWF Special Projects SPESMART and SPESVALE. C. Calvo-Sancho acknowledges the grant awarded by the Spanish Ministry of Science and Innovation - FPI program (PRE2020-092343).
ISSN: 0169-8095
Appears in Collections:Artículos científicos 2023-2026

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