dc.creatorMaldonado Mora, Tito José
dc.creatorAmador Astúa, Jorge Alberto
dc.creatorRivera Fernández, Erick
dc.creatorHidalgo León, Hugo G.
dc.creatorAlfaro Martínez, Eric J.
dc.date.accessioned2021-11-02T20:35:59Z
dc.date.available2021-11-02T20:35:59Z
dc.date.created2021-11-02T20:35:59Z
dc.date.issued2020
dc.identifierhttps://www.mdpi.com/2073-4433/11/12/1317
dc.identifier2073-4433
dc.identifierhttps://hdl.handle.net/10669/85024
dc.identifier10.3390/atmos11121317
dc.identifier805-B9-454
dc.identifier805-B8-766
dc.identifier805-B8-604
dc.identifier805-B9-609
dc.identifierEC-497
dc.identifier805-C0-074
dc.identifier805-B0-810
dc.identifier805-C0-610
dc.description.abstractHurricane Otto (2016) was characterised by remarkable meteorological features of relevance for the scientific community and society. Scientifically, among the most important attributes of Otto is that it underwent a rapid intensification (RI) process. For society, this cyclone severely impacted Costa Rica and Nicaragua, leaving enormous economic losses and many fatalities. In this study, a set of three numerical simulations are performed to examine the skill of model estimations in reproducing RI and trajectory of Hurricane Otto by comparing the results of a global model to a regional model using three different planetary boundary layer parameterizations (PBL). The objective is to set the basis for future studies that analyse the physical reasons why a particular simulation (associated with a certain model setup) performs better than others in terms of reproducing RI and trajectory. We use the regional model Weather Research and Forecasting—Advanced Research WRF (WRF-ARW) with boundary and initial conditions provided by the Global Forecast System (GFS) analysis (horizontal resolution of 0.5 degrees). The PBL used are the Medium Range Forecast, the Mellor-Yamada-Janjic (MYJ), and the Yonsei University (YSU) parameterizations. The regional model is run in three static domains with horizontal grid spacing of 27, 9 and 3 km, the latter covering the spacial extent of Otto during the simulation period. WRF-ARW results improve the GFS forecast, in almost every aspect evaluated in this study, particularly, the simulated trajectories in WRF-ARW show a better representation of the cyclone path and movement compared to GFS. Even though the MYJ experiment was the only one that exhibited an abrupt 24-h change in the storm’s surface wind, close to the 25-knot threshold, the YSU scheme presented the fastest intensification, closest to reality. View Full-Text
dc.languageeng
dc.sourceAtmosphere 2020, 11, 1317.
dc.subjecttropical cyclones
dc.subjectnatural hazards
dc.subjectregional numerical modelling
dc.subjectCosta Rica
dc.titleExamination of WRF-ARW experiments using different planetary boundary layer parameterizations to study the rapid intensification and trajectory of Hurricane Otto 2016
dc.typeartículo científico


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