contributor author | Miller, Paul W. | |
contributor author | Black, Alan W. | |
contributor author | Williams, Castle A. | |
contributor author | Knox, John A. | |
date accessioned | 2017-06-09T16:51:08Z | |
date available | 2017-06-09T16:51:08Z | |
date copyright | 2016/04/01 | |
date issued | 2016 | |
identifier issn | 1558-8424 | |
identifier other | ams-75286.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4217605 | |
description abstract | uman wind reports are a vital supplement to the relatively sparse network of automated weather stations in the United States, especially for localized convective winds. In this study, human wind estimates recorded in Storm Data between 1996 and 2013 were compared with instrumentally observed wind speeds from the Global Historical Climatology Network (GHCN). Nonconvective wind events in areas of flat terrain within the continental United States served as the basis for this analysis because of the relative spatial homogeneity of wind fields in these meteorological and geographic settings. The distribution of 6801 GHCN-measured gust factors (GF), defined here as the ratio of the daily maximum gust to the daily average wind, provided the reference upon which human gust reports were judged. GFs were also calculated for each human estimate by dividing the estimated gust by the GHCN average wind speed on that day. Human-reported GFs were disproportionately located in the upper tail of the observed GF distribution, suggesting that humans demonstrate a tendency to report statistically improbable wind gusts. As a general rule of thumb, humans overestimated nonconvective wind GFs by approximately one-third. | |
publisher | American Meteorological Society | |
title | Quantitative Assessment of Human Wind Speed Overestimation | |
type | Journal Paper | |
journal volume | 55 | |
journal issue | 4 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-15-0259.1 | |
journal fristpage | 1009 | |
journal lastpage | 1020 | |
tree | Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 004 | |
contenttype | Fulltext | |