Surface wind gust prediction over Incheon international airport using the unified model

Venkatraman Prasanna (), Hee Wook Choi, Seon O. K. Hong, Geun Hoi Kim, Young Gon Lee and Baek Jo Kim
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Venkatraman Prasanna: National Institute of Meteorological Sciences
Hee Wook Choi: National Institute of Meteorological Sciences
Seon O. K. Hong: National Institute of Meteorological Sciences
Geun Hoi Kim: National Institute of Meteorological Sciences
Young Gon Lee: National Institute of Meteorological Sciences
Baek Jo Kim: National Institute of Meteorological Sciences

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 103, issue 1, No 69, 1499-1535

Abstract: Abstract The unified model (Version: UM10.4) wind gust prediction system using rose nesting suite at 300 m resolution over the Incheon international airport (IIA) is carried out, and the prediction results of multiple domain nesting with input initial and lateral boundary conditions from the Korea meteorological administration (KMA) operational global data assimilation and prediction system (GDAPS) are compared with the operational local data assimilation and prediction system and the observed automated weather stations (AWS) dataset. The 300 m nested prediction system over the IIA is built from the 17 km GDAPS output in KMA; it is downscaled with a multiple nesting domains to 300 m resolution from the GDAPS, here after called as IIA-300 m. The model results are validated against the AWS to see the accuracy of the IIA-300 m model’s skill in predicting the wind gust over the IIA. The nesting suite is run with the default ancillary files created by the central ancillary program 9.0 (CAP 9.0) as well as modified ancillary files created by modifying the land points over IIA region using an ancillary editor. The UM model wind prediction is done with both ancillary files to see the improvements achieved by adding additional land points over the IIA domain. Further the vegetation fraction from the international geosphere-biosphere program (IGBP) data classified as 9 tiles in the ancillary file is replaced by the environmental-geographic information system (E-GIS) data to see the effect on the UM model’s wind gust predictions. The prediction of two wind gust events on 30-August-2016 and 02-October-2016 reveals only modest improvements in the prediction with respect to AWS observations, even after the modification of ancillaries with land points over the IIA domain, and only minor improvements are noted for the vegetation fraction replacement from IGBP to E-GIS vegetation dataset over the Incheon International Airport and exhibited only a marginal wind speed decrease due to warming up of the land part, particularly on the peripheries of the IIA-domain.

Keywords: Wind gust prediction; Unified model; Incheon international airport; IIA-300 m model; IGBP and E-GIS vegetation fraction (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-020-04047-z

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