Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements

The Dutch Offshore Wind Atlas (DOWA) is validated against wind speed and direction measurements from the Cabauw meteorological mast for a 10-year period and at heights between 10 m and 200 m. The validation results are compared to the Royal Netherlands Meteorological Institute (KNMI) North Sea Wind...

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Main Authors: Steven Knoop, Pooja Ramakrishnan, Ine Wijnant
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/24/6558
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spelling doaj-ccc5a91acedb4d179a46b64c1b078d162020-12-12T00:06:20ZengMDPI AGEnergies1996-10732020-12-01136558655810.3390/en13246558Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind MeasurementsSteven Knoop0Pooja Ramakrishnan1Ine Wijnant2Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, The NetherlandsFaculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, The NetherlandsThe Dutch Offshore Wind Atlas (DOWA) is validated against wind speed and direction measurements from the Cabauw meteorological mast for a 10-year period and at heights between 10 m and 200 m. The validation results are compared to the Royal Netherlands Meteorological Institute (KNMI) North Sea Wind (KNW) atlas. It is found that the average difference (bias) between DOWA wind speeds and those measured at Cabauw varies for the different heights between −0.1 m/s to 0.3 m/s. Significant differences between DOWA and KNW are only found at altitudes of 10 m and 20 m, where KNW performs better. For heights above 20 m, there is no significant difference between DOWA and KNW with respect to the 10-year averaged wind speed bias. The diurnal cycle is better captured by DOWA compared to KNW, and the hourly correlation is slightly improved. In addition, a comparison with the global European Center for Medium-Range Weather Forecasts (ECMWF) ERA-Interim and ERA5 reanalyses (used for KNW and DOWA, respectively) is made, highlighting the added skill provided by downscaling those global datasets with the weather model HARMONIE.https://www.mdpi.com/1996-1073/13/24/6558wind atlasin-situ wind measurementsvalidation study
collection DOAJ
language English
format Article
sources DOAJ
author Steven Knoop
Pooja Ramakrishnan
Ine Wijnant
spellingShingle Steven Knoop
Pooja Ramakrishnan
Ine Wijnant
Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements
Energies
wind atlas
in-situ wind measurements
validation study
author_facet Steven Knoop
Pooja Ramakrishnan
Ine Wijnant
author_sort Steven Knoop
title Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements
title_short Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements
title_full Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements
title_fullStr Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements
title_full_unstemmed Dutch Offshore Wind Atlas Validation against Cabauw Meteomast Wind Measurements
title_sort dutch offshore wind atlas validation against cabauw meteomast wind measurements
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-12-01
description The Dutch Offshore Wind Atlas (DOWA) is validated against wind speed and direction measurements from the Cabauw meteorological mast for a 10-year period and at heights between 10 m and 200 m. The validation results are compared to the Royal Netherlands Meteorological Institute (KNMI) North Sea Wind (KNW) atlas. It is found that the average difference (bias) between DOWA wind speeds and those measured at Cabauw varies for the different heights between −0.1 m/s to 0.3 m/s. Significant differences between DOWA and KNW are only found at altitudes of 10 m and 20 m, where KNW performs better. For heights above 20 m, there is no significant difference between DOWA and KNW with respect to the 10-year averaged wind speed bias. The diurnal cycle is better captured by DOWA compared to KNW, and the hourly correlation is slightly improved. In addition, a comparison with the global European Center for Medium-Range Weather Forecasts (ECMWF) ERA-Interim and ERA5 reanalyses (used for KNW and DOWA, respectively) is made, highlighting the added skill provided by downscaling those global datasets with the weather model HARMONIE.
topic wind atlas
in-situ wind measurements
validation study
url https://www.mdpi.com/1996-1073/13/24/6558
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