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The Perdigão: Peering into Microscale Details of Mountain Winds.

Authors :
Fernando, H. J. S.
Mann, J.
Palma, J. M. L. M.
Lundquist, J. K.
Barthelmie, R. J.
Belo-Pereira, M.
Brown, W. O. J.
Chow, F. K.
Gerz, T.
Hocut, C. M.
Klein, P. M.
Leo, L. S.
Matos, J. C.
Oncley, S. P.
Pryor, S. C.
Bariteau, L.
Bell, T. M.
Bodini, N.
Carney, M. B.
Courtney, M. S.
Source :
Bulletin of the American Meteorological Society; May2019, Vol. 100 Issue 5, p799-819, 21p
Publication Year :
2019

Abstract

A grand challenge from the wind energy industry is to provide reliable forecasts on mountain winds several hours in advance at microscale (∼100 m) resolution. This requires better microscale wind-energy physics included in forecasting tools, for which field observations are imperative. While mesoscale (∼1 km) measurements abound, microscale processes are not monitored in practice nor do plentiful measurements exist at this scale. After a decade of preparation, a group of European and U.S. collaborators conducted a field campaign during 1 May–15 June 2017 in Vale Cobrão in central Portugal to delve into microscale processes in complex terrain. This valley is nestled within a parallel double ridge near the town of Perdigão with dominant wind climatology normal to the ridges, offering a nominally simple yet natural setting for fundamental studies. The dense instrument ensemble deployed covered a ∼4 km × 4 km swath horizontally and ∼10 km vertically, with measurement resolutions of tens of meters and seconds. Meteorological data were collected continuously, capturing multiscale flow interactions from synoptic to microscales, diurnal variability, thermal circulation, turbine wake and acoustics, waves, and turbulence. Particularly noteworthy are the extensiveness of the instrument array, space–time scales covered, use of leading-edge multiple-lidar technology alongside conventional tower and remote sensors, fruitful cross-Atlantic partnership, and adaptive management of the campaign. Preliminary data analysis uncovered interesting new phenomena. All data are being archived for public use. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00030007
Volume :
100
Issue :
5
Database :
Complementary Index
Journal :
Bulletin of the American Meteorological Society
Publication Type :
Academic Journal
Accession number :
136806334
Full Text :
https://doi.org/10.1175/BAMS-D-17-0227.1