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Perdigão-2017: multi-lidar flow mapping over the complex terrain site

Version 2 2019-10-11, 09:05
Version 1 2018-11-07, 11:44
online resource
posted on 2019-10-11, 09:05 authored by Robert Menke, Jakob Mann, Nikola Vasiljevic

This dataset has been recorded by eight long-range WindScanners that were deployed during the Perdigão 2017 campaign. For the campaign which took place in central Portugal near the village of Perdigão eight scanners were located on two mountain ridges that run in parallel for about 2 km. The scanners carried out three synchronized scanning scenarios: transect scans at three positions perpendicular to the ridge with two scanners at two transects and one transect with four scanners; a scan following transects 80m above the ridges; and virtual mast scans at four locations.


This is an original dataset. It represents Level 2.3 data product in the FAIR lidar data schematics, that is geo-located radial velocities stored in NetCDF files with dimensions of time, range and line-of-sight number.


Consult a list of references for more details about :

(1) WindScanner (https://doi.org/10.3390/rs8110896)

(2) Perdigão site and prequel experiment from 2015 (https://doi.org/10.5194/amt-10-3463-2017)

(3) FAIR lidar data standard (http://e-windlidar.windenergy.dtu.dk/documents/report.pdf)

(4) Perdigão data repository (https://perdigao.fe.up.pt/ )


Consult link in Related publications which holds information on the paper that presents a part of the Perdigão-2017 dataset.


The data can be downloaded from the webpage:

https://bit.ly/2APFISJ

Funding

ERANET+ - ENER/FP7/618122/NEWA, Danish Energy Agency - New European Wind Atlas project (EUDP 14-II)

History

Location

Vale Cobrão, Portugal

Date

from 2017-03-22 to 2017-07-24

Topic

  • Siting;>Wind Mapping
  • Siting;>Design conditions;>Other
  • Siting;>Resource assessment

Models

  • Not applicable

Activities

  • Measurements;>Field experiment

External conditions

  • Location;>Onshore;>Inland
  • Topography;>Forest
  • Topography;>Other
  • Topography;>Rural
  • Terrain type;>Complex;>Hilly
  • Terrain type;>Complex;>Ridge

Data category

  • Meteorological data

Contributors

Per Hansen, Preben Aagaard, Guillaume Lea, Jose Carlos Matos, Stephan Voß