Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach

The aim of the research is to explore the possibility of using the Weather Research and Forecasting Model 3.2.1 (WRF) for creating synthetic wind speed time-series in the southern part of the Baltic Sea. The hourly wind speed time series derived from a mesoscale model were forced by the NCEP/NCAR r...

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Main Author: Bartosz Czernecki
Format: Article
Language:English
Published: Borntraeger 2013-10-01
Series:Meteorologische Zeitschrift
Subjects:
wrf
Online Access:http://dx.doi.org/10.1127/0941-2948/2013/0454
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spelling doaj-ed2bf819ccaa4833b99db97c73bcb42a2020-11-24T22:09:30ZengBorntraegerMeteorologische Zeitschrift0941-29482013-10-0122558759310.1127/0941-2948/2013/045481746Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approachBartosz CzerneckiThe aim of the research is to explore the possibility of using the Weather Research and Forecasting Model 3.2.1 (WRF) for creating synthetic wind speed time-series in the southern part of the Baltic Sea. The hourly wind speed time series derived from a mesoscale model were forced by the NCEP/NCAR re-analysis dataset for the period of 1991?2000 using 2-way nesting domains with horizontal resolutions of 27 and 9 km. Realism of spatial and temporal structure of the dataset was validated against in-situ offshore and onshore measurements. The dataset confirms the wind speed patterns over the Baltic Sea obtained in previous studies. The validation procedure proves that the model represents the spatio-temporal structure of the wind field well with a temporal correlation of around 0.80 for those stations with an undisturbed, high quality archive dataset. It was found that the model tends to underestimate wind speeds over offshore areas and overestimate them over onshore areas, especially for the near-surface wind field. Additionally, the author briefly presents the transition of wind speed in coastal areas as they are of great interest to the renewable energy community.http://dx.doi.org/10.1127/0941-2948/2013/0454baltic sea basindynamical downscalingwind engineeringwind fieldwrf
collection DOAJ
language English
format Article
sources DOAJ
author Bartosz Czernecki
spellingShingle Bartosz Czernecki
Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach
Meteorologische Zeitschrift
baltic sea basin
dynamical downscaling
wind engineering
wind field
wrf
author_facet Bartosz Czernecki
author_sort Bartosz Czernecki
title Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach
title_short Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach
title_full Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach
title_fullStr Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach
title_full_unstemmed Creating wind field time-series over the Southern Baltic area using a dynamical downscaling approach
title_sort creating wind field time-series over the southern baltic area using a dynamical downscaling approach
publisher Borntraeger
series Meteorologische Zeitschrift
issn 0941-2948
publishDate 2013-10-01
description The aim of the research is to explore the possibility of using the Weather Research and Forecasting Model 3.2.1 (WRF) for creating synthetic wind speed time-series in the southern part of the Baltic Sea. The hourly wind speed time series derived from a mesoscale model were forced by the NCEP/NCAR re-analysis dataset for the period of 1991?2000 using 2-way nesting domains with horizontal resolutions of 27 and 9 km. Realism of spatial and temporal structure of the dataset was validated against in-situ offshore and onshore measurements. The dataset confirms the wind speed patterns over the Baltic Sea obtained in previous studies. The validation procedure proves that the model represents the spatio-temporal structure of the wind field well with a temporal correlation of around 0.80 for those stations with an undisturbed, high quality archive dataset. It was found that the model tends to underestimate wind speeds over offshore areas and overestimate them over onshore areas, especially for the near-surface wind field. Additionally, the author briefly presents the transition of wind speed in coastal areas as they are of great interest to the renewable energy community.
topic baltic sea basin
dynamical downscaling
wind engineering
wind field
wrf
url http://dx.doi.org/10.1127/0941-2948/2013/0454
work_keys_str_mv AT bartoszczernecki creatingwindfieldtimeseriesoverthesouthernbalticareausingadynamicaldownscalingapproach
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