Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain
Source at https://doi.org/10.1088/1742-6596/1102/1/012011. In this study the performance of the Weather Research and Forecast (WRF) model in a complex and coastal terrain has been evaluated with focus on wind resource assessment. The study area is a small community on the northern part of the island...
Published in: | Journal of Physics: Conference Series |
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Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
IOP Publishing
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10037/14974 https://doi.org/10.1088/1742-6596/1102/1/012011 |
_version_ | 1829299153774051328 |
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author | Solbakken, Kine Birkelund, Yngve |
author_facet | Solbakken, Kine Birkelund, Yngve |
author_sort | Solbakken, Kine |
collection | University of Tromsø: Munin Open Research Archive |
container_start_page | 012011 |
container_title | Journal of Physics: Conference Series |
container_volume | 1102 |
description | Source at https://doi.org/10.1088/1742-6596/1102/1/012011. In this study the performance of the Weather Research and Forecast (WRF) model in a complex and coastal terrain has been evaluated with focus on wind resource assessment. The study area is a small community on the northern part of the island Senja, Norway. The community, with fishery and seafood as its main industry, is being limited by poor grid connection. One of the solutions is to increase the production of local power from wind energy. There are no in-situ wind measurements in the area, and therefore numerical weather prediction models, namely the WRF model, is being evaluated as a method for wind resource assessment. The WRF model has been run for the whole of 2017 with high resolution covering an area large enough to include the three closest weather stations. The model is compared to the observed wind speed and direction. It is found that the model is able to reproduce the average wind speed and wind direction quite well for two of the locations, while for the third location the average wind speed is considerably overestimated compared to the observations. The Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) found are larger than in other comparable studies. |
format | Article in Journal/Newspaper |
genre | Senja |
genre_facet | Senja |
geographic | Norway Senja |
geographic_facet | Norway Senja |
id | ftunivtroemsoe:oai:munin.uit.no:10037/14974 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(16.803,16.803,69.081,69.081) |
op_collection_id | ftunivtroemsoe |
op_doi | https://doi.org/10.1088/1742-6596/1102/1/012011 |
op_relation | Journal of Physics, Conference Series FRIDAID 1630462 https://hdl.handle.net/10037/14974 |
op_rights | openAccess |
publishDate | 2018 |
publisher | IOP Publishing |
record_format | openpolar |
spelling | ftunivtroemsoe:oai:munin.uit.no:10037/14974 2025-04-13T14:26:52+00:00 Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain Solbakken, Kine Birkelund, Yngve 2018 https://hdl.handle.net/10037/14974 https://doi.org/10.1088/1742-6596/1102/1/012011 eng eng IOP Publishing Journal of Physics, Conference Series FRIDAID 1630462 https://hdl.handle.net/10037/14974 openAccess VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Journal article Tidsskriftartikkel Peer reviewed 2018 ftunivtroemsoe https://doi.org/10.1088/1742-6596/1102/1/012011 2025-03-14T05:17:55Z Source at https://doi.org/10.1088/1742-6596/1102/1/012011. In this study the performance of the Weather Research and Forecast (WRF) model in a complex and coastal terrain has been evaluated with focus on wind resource assessment. The study area is a small community on the northern part of the island Senja, Norway. The community, with fishery and seafood as its main industry, is being limited by poor grid connection. One of the solutions is to increase the production of local power from wind energy. There are no in-situ wind measurements in the area, and therefore numerical weather prediction models, namely the WRF model, is being evaluated as a method for wind resource assessment. The WRF model has been run for the whole of 2017 with high resolution covering an area large enough to include the three closest weather stations. The model is compared to the observed wind speed and direction. It is found that the model is able to reproduce the average wind speed and wind direction quite well for two of the locations, while for the third location the average wind speed is considerably overestimated compared to the observations. The Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) found are larger than in other comparable studies. Article in Journal/Newspaper Senja University of Tromsø: Munin Open Research Archive Norway Senja ENVELOPE(16.803,16.803,69.081,69.081) Journal of Physics: Conference Series 1102 012011 |
spellingShingle | VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Solbakken, Kine Birkelund, Yngve Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain |
title | Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain |
title_full | Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain |
title_fullStr | Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain |
title_full_unstemmed | Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain |
title_short | Evaluation of the Weather Research and Forecasting (WRF) model with respect to wind in complex terrain |
title_sort | evaluation of the weather research and forecasting (wrf) model with respect to wind in complex terrain |
topic | VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 |
topic_facet | VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 |
url | https://hdl.handle.net/10037/14974 https://doi.org/10.1088/1742-6596/1102/1/012011 |