contributor author | Larsén, Xiaoli Guo | |
contributor author | Ott, Søren | |
contributor author | Badger, Jake | |
contributor author | Hahmann, Andrea N. | |
contributor author | Mann, Jakob | |
date accessioned | 2017-06-09T16:49:03Z | |
date available | 2017-06-09T16:49:03Z | |
date copyright | 2012/03/01 | |
date issued | 2011 | |
identifier issn | 1558-8424 | |
identifier other | ams-74679.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4216930 | |
description abstract | xtreme winds derived from simulations using mesoscale models are underestimated because of the effective spatial and temporal resolutions. This is reflected in the spectral domain as an energy deficit in the mesoscale range. The energy deficit implies smaller spectral moments and thus underestimation in the extreme winds. The authors have developed two approaches for correcting the smoothing effect resulting from the mesoscale model resolution that impacts the extreme wind estimation by taking into account the difference between the modeled and measured spectra in the high-frequency range. Both approaches give estimates of the smoothing effect that are in good agreement with measurements from several sites in Denmark and Germany. | |
publisher | American Meteorological Society | |
title | Recipes for Correcting the Impact of Effective Mesoscale Resolution on the Estimation of Extreme Winds | |
type | Journal Paper | |
journal volume | 51 | |
journal issue | 3 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-11-090.1 | |
journal fristpage | 521 | |
journal lastpage | 533 | |
tree | Journal of Applied Meteorology and Climatology:;2011:;volume( 051 ):;issue: 003 | |
contenttype | Fulltext | |