Bulletin of the American Meteorological Society · 2018 · 203 citations · 68 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceMesoscale MeteorologyMountain MeteorologyMesoscale DynamicsMesoscale ForecastingMountain Weather ForecastingMountain-valley WindsMultiscale Fluid DynamicsSynoptic-scale DynamicsComplex Terrain FlowComplex Terrain Wind FlowDiurnal Flow VariabilityField ObservationsMountain Wind ClimatologyObservations Of Mountain WindsWind ClimatologyWind Observations In Complex Terrain
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.
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