Matches in SemOpenAlex for { <https://semopenalex.org/work/W2580966556> ?p ?o ?g. }
- W2580966556 endingPage "24" @default.
- W2580966556 startingPage "24" @default.
- W2580966556 abstract "An automated method producing a diagnostic of the severity of lee waves and their impacts on surface winds as represented in output from a high resolution linear numerical model (3D velocities over mountains (3DVOM)) covering several areas of the U.K. is discussed. Lee waves involving turbulent rotor activity or downslope windstorms represent a hazard to aviation and ground transport, and summary information of this kind is highly valuable as an efficient ‘heads-up’ for forecasters, for automated products or to feed into impact models. Automated diagnosis of lee wave surface effects presents a particular challenge due to the complexity of turbulent zones in the lee of irregular terrain. The method proposed quantifies modelled wind perturbations relative to those that would occur in the absence of lee waves for a given background wind, and diagnoses using it are found to be quite consistent between cases and for different ranges of U.K. hills. A recent upgrade of the operational U.K. limited area model, the U.K. Variable Resolution Model (UKV) used for general forecasting at the Met Office means that it now resolves lee waves, and its performance is here demonstrated using comparisons with aircraft- and surface-based observations and the linear model. In the future, automated diagnostics may be adapted to use its output to routinely produce contiguous mesoscale maps of lee wave activity and surface impacts over the whole U.K." @default.
- W2580966556 created "2017-02-03" @default.
- W2580966556 creator A5011283059 @default.
- W2580966556 creator A5035474134 @default.
- W2580966556 creator A5080608862 @default.
- W2580966556 date "2017-01-23" @default.
- W2580966556 modified "2023-10-03" @default.
- W2580966556 title "Mountain Waves in High Resolution Forecast Models: Automated Diagnostics of Wave Severity and Impact on Surface Winds" @default.
- W2580966556 cites W1502176278 @default.
- W2580966556 cites W1517745824 @default.
- W2580966556 cites W1548206737 @default.
- W2580966556 cites W1639445094 @default.
- W2580966556 cites W1666703693 @default.
- W2580966556 cites W1966137659 @default.
- W2580966556 cites W1966153782 @default.
- W2580966556 cites W1969540620 @default.
- W2580966556 cites W1970044701 @default.
- W2580966556 cites W1980989765 @default.
- W2580966556 cites W1988796304 @default.
- W2580966556 cites W1989389164 @default.
- W2580966556 cites W1993107687 @default.
- W2580966556 cites W1995270722 @default.
- W2580966556 cites W2000194879 @default.
- W2580966556 cites W2001497547 @default.
- W2580966556 cites W2001521060 @default.
- W2580966556 cites W2005654513 @default.
- W2580966556 cites W2006675646 @default.
- W2580966556 cites W2007038645 @default.
- W2580966556 cites W2018011148 @default.
- W2580966556 cites W2024661628 @default.
- W2580966556 cites W2028123945 @default.
- W2580966556 cites W2030115033 @default.
- W2580966556 cites W2030538320 @default.
- W2580966556 cites W2036717225 @default.
- W2580966556 cites W2045597928 @default.
- W2580966556 cites W2051904689 @default.
- W2580966556 cites W2053092636 @default.
- W2580966556 cites W2057825667 @default.
- W2580966556 cites W2061035372 @default.
- W2580966556 cites W2065095246 @default.
- W2580966556 cites W2074959601 @default.
- W2580966556 cites W2076074183 @default.
- W2580966556 cites W2076984229 @default.
- W2580966556 cites W2077816856 @default.
- W2580966556 cites W2081965431 @default.
- W2580966556 cites W2083740175 @default.
- W2580966556 cites W2085774139 @default.
- W2580966556 cites W2092680921 @default.
- W2580966556 cites W2102521759 @default.
- W2580966556 cites W2105523270 @default.
- W2580966556 cites W2108037479 @default.
- W2580966556 cites W2125185852 @default.
- W2580966556 cites W2128130734 @default.
- W2580966556 cites W2139726577 @default.
- W2580966556 cites W2145170044 @default.
- W2580966556 cites W2146275967 @default.
- W2580966556 cites W2156404606 @default.
- W2580966556 cites W2159507917 @default.
- W2580966556 cites W2161030670 @default.
- W2580966556 cites W2162818540 @default.
- W2580966556 cites W2163188735 @default.
- W2580966556 cites W2169993534 @default.
- W2580966556 cites W2171293108 @default.
- W2580966556 cites W2171393868 @default.
- W2580966556 cites W2174296419 @default.
- W2580966556 cites W2175788527 @default.
- W2580966556 cites W2180248910 @default.
- W2580966556 cites W2188454445 @default.
- W2580966556 cites W2275552660 @default.
- W2580966556 cites W2286238773 @default.
- W2580966556 cites W2464651653 @default.
- W2580966556 cites W2569233810 @default.
- W2580966556 cites W280391086 @default.
- W2580966556 doi "https://doi.org/10.3390/atmos8010024" @default.
- W2580966556 hasPublicationYear "2017" @default.
- W2580966556 type Work @default.
- W2580966556 sameAs 2580966556 @default.
- W2580966556 citedByCount "6" @default.
- W2580966556 countsByYear W25809665562018 @default.
- W2580966556 countsByYear W25809665562020 @default.
- W2580966556 countsByYear W25809665562023 @default.
- W2580966556 crossrefType "journal-article" @default.
- W2580966556 hasAuthorship W2580966556A5011283059 @default.
- W2580966556 hasAuthorship W2580966556A5035474134 @default.
- W2580966556 hasAuthorship W2580966556A5080608862 @default.
- W2580966556 hasBestOaLocation W25809665561 @default.
- W2580966556 hasConcept C121332964 @default.
- W2580966556 hasConcept C127313418 @default.
- W2580966556 hasConcept C153294291 @default.
- W2580966556 hasConcept C161840515 @default.
- W2580966556 hasConcept C169596890 @default.
- W2580966556 hasConcept C196558001 @default.
- W2580966556 hasConcept C205649164 @default.
- W2580966556 hasConcept C39432304 @default.
- W2580966556 hasConcept C40382383 @default.
- W2580966556 hasConcept C41008148 @default.
- W2580966556 hasConcept C44886760 @default.
- W2580966556 hasConcept C49204034 @default.