Show simple item record

dc.contributor.authorFonseca, Ricardo
dc.contributor.authorMartín-Torres, Javier
dc.contributor.authorAndersson, Kent
dc.date.accessioned2019-09-19T10:05:32Z
dc.date.available2019-09-19T10:05:32Z
dc.date.copyright4/19/2018 12:00:00 AM
dc.date.issued2018
dc.identifier.otherwaf-d-18-0031.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261428
dc.description.abstractAbstract High-altitude balloons and rockets are regularly launched at the Esrange Space Center (ESC) in Kiruna, Sweden, with the aim of retrieving atmospheric data for meteorological and space studies in the Arctic region. Meteorological conditions, particularly wind direction and speed, play a critical role in the decision of whether to go ahead with or postpone a planned launch. Given the lack of high-resolution wind forecasts for this remote region, the Weather Research and Forecasting (WRF) Model is used to downscale short-term forecasts given by the Global Forecast System (GFS) for the ESC for six 5-day periods in the warm, cold, and transition seasons. Three planetary boundary layer (PBL) schemes are considered: the local Mellor?Yamada?Janji? (MYJ), the nonlocal Yonsei University (YSU), and the hybrid local?nonlocal Asymmetric Convective Model 2 (ACM2). The ACM2 scheme is found to provide the most skillful forecasts. An analysis of the WRF Model output against the launch criteria for two of the most commonly launched vehicles, the sounding rockets Veículo de Sondagem Booster-30 (VSB-30) and Improved Orion, reveals probability of detection (POD) values that always exceeds 60% with the false alarm rate (FAR) generally below 50%. It is concluded that the WRF Model, in its present configuration, can be used to generate useful 5-day wind forecasts for the launches of these two rockets. The conclusions reached here are applicable to similar sites in the Arctic and Antarctic regions.
dc.publisherAmerican Meteorological Society
dc.titleWind Forecasts for Rocket and Balloon Launches at the Esrange Space Center Using the WRF Model
dc.typeJournal Paper
dc.journal.volume33
dc.journal.issue3
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/waf-d-18-0031.1
dc.journal.fristpage813
dc.journal.lastpage833
dc.treeWeather and Forecasting:;2018:;volume 033:;issue 003
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record