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The Making of the New European Wind Atlas - Part 2: Production and evaluation

  • Martin Dörenkämper*
  • , Bjarke T. Olsen
  • , Björn Witha
  • , Andrea N. Hahmann
  • , Neil N. Davis
  • , Jordi Barcons
  • , Yasemin Ezber
  • , Elena Garciá-Bustamante
  • , J. Fidel González-Rouco
  • , Jorge Navarro
  • , Mariano Sastre-Marugán
  • , Tija Sīle
  • , Wilke Trei
  • , Mark Žagar
  • , Jake Badger
  • , Julia Gottschall
  • , Javier Sanz Rodrigo
  • , Jakob Mann
  • *Šī darba korespondējošais autors
  • Fraunhofer Institute for Wind Energy Systems
  • Technical University of Denmark
  • Energy and Meteo Systems GmbH
  • University of Oldenburg
  • Barcelona Supercomputing Center (BSC)
  • Istanbul Technical University
  • CIEMAT
  • Complutense University
  • Vestas Wind Systems AS
  • Centro Nacional de Energías Renovables

Zinātniskās darbības rezultāts: Devums žurnālamZinātniskais raksts (žurnālā)koleģiāli recenzēts

168 Atsauces (Scopus)

Kopsavilkums

This is the second of two papers that document the creation of the New European Wind Atlas (NEWA). In Part 1, we described the sensitivity experiments and accompanying evaluation done to arrive at the final mesoscale model setup used to produce the mesoscale wind atlas. In this paper, Part 2, we document how we made the final wind atlas product, covering both the production of the mesoscale climatology generated with the Weather Research and Forecasting (WRF) model and the microscale climatology generated with the Wind Atlas Analysis and Applications Program (WAsP). The paper includes a detailed description of the technical and practical aspects that went into running the mesoscale simulations and the downscaling using WAsP. We show the main results from the final wind atlas and present a comprehensive evaluation of each component of the NEWA model chain using observations from a large set of tall masts located all over Europe. The added value of the WRF and WAsP downscaling of wind climatologies is evaluated relative to the performance of the driving ERA5 reanalysis and shows that the WRF downscaling reduces the mean wind speed bias and spread relative to that of ERA5 from -1:50 ± 1:30 to 0:02 ± 0:78 m s-1. The WAsP downscaling has an added positive impact relative to that of the WRF model in simple terrain. In complex terrain, where the assumptions of the linearized flow model break down, both the mean bias and spread in wind speed are worse than those from the raw mesoscale results.

OriģinālvalodaAngļu
Lapas (no-līdz)5079-5102
ŽurnālsGeoscientific Model Development
Sējums13
Izdevuma numurs10
DOIs
Publikācijas statussPublicēts - 27 okt. 2020

OECD Zinātnes nozare

  • 1.5 Zemes zinātnes, fiziskā ģeogrāfija un vides zinātnes

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