Show simple item record

dc.contributor.authorYelena L. Pichugina
dc.contributor.authorRobert M. Banta
dc.contributor.authorW. Alan Brewer
dc.contributor.authorJ. Kenyon
dc.contributor.authorJ. B. Olson
dc.contributor.authorD. D. Turner
dc.contributor.authorJ. Wilczak
dc.contributor.authorS. Baidar
dc.contributor.authorJ. K. Lundquist
dc.contributor.authorW. J. Shaw
dc.contributor.authorS. Wharton
dc.date.accessioned2023-04-12T18:27:37Z
dc.date.available2023-04-12T18:27:37Z
dc.date.copyright2022/09/30
dc.date.issued2022
dc.identifier.otherWAF-D-21-0214.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289704
dc.description.abstractModel improvement efforts involve an evaluation of changes in model skill in response to changes in model physics and parameterization. When using wind measurements from various remote sensors to determine model forecast accuracy, it is important to understand the effects of measurement-uncertainty differences among the sensors resulting from differences in the methods of measurement, the vertical and temporal resolution of the measurements, and the spatial variability of these differences. Here we quantify instrument measurement variability in 80-m wind speed during WFIP2 and its impact on the calculated errors and the change in error from one model version to another. The model versions tested involved updates in model physics from HRRRv1 to HRRRv4, and reductions in grid interval from 3 km to 750 m. Model errors were found to be 2–3 m s
dc.publisherAmerican Meteorological Society
dc.titleModel Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain
dc.typeJournal Paper
dc.journal.volume37
dc.journal.issue10
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-21-0214.1
dc.journal.fristpage1829
dc.journal.lastpage1853
dc.page1829–1853
dc.treeWeather and Forecasting:;2022:;volume( 037 ):;issue: 010
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record