KIT | KIT-Bibliothek | Impressum | Datenschutz
Open Access Logo
DOI: 10.5445/IR/110103229
Veröffentlicht am 16.04.2018
DOI: 10.1127/metz/2015/0640
Zitationen: 13
Web of Science
Zitationen: 12

Remote sensing winds in complex terrain : a review

Bradley, Stuart; Strehz, Alexander; Emeis, Stefan

Ground-based remote sensing is now essential for wind energy purposes. Currently available remote sensing instruments construct a wind vector from wind components measured at several spatially separated volumes, leading to errors on complex terrain where the flow is inhomogeneous. Wind estimation errors are found to be fully described by only two parameters: the flow curvature and flow inclination above the instrument. However, neither parameter is measured directly, nor are they simple products of flow models, so the challenge is to adequately estimate them. Linearized flow models are attractive in being fast and requiring few inputs, but make several limiting assumptions that can lead to their failure to adequately predict corrections for remote sensing. It is found that sophisticated CFD models can also over-correct. The status of such corrections is reviewed here, from a number of diverse measurement campaigns, and it is found that generally remote sensed winds can be corrected to within 1.5% of nearby mast winds. Alternative methods, using multiple receivers sensing several wind components within one volume, are also reviewed. ... mehr

Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 0941-2948, 1610-1227
URN: urn:nbn:de:swb:90-AAA1101032297
KITopen-ID: 110103229
HGF-Programm 12.02.04 (POF III, LK 01)
Erschienen in Meteorologische Zeitschrift
Band 24
Heft 6
Seiten 547-555
Schlagworte remote sensing, complex terrain, wind profiles, inhomogeneous wind fields, wind error correction
Nachgewiesen in Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft KITopen Landing Page