A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model

Over the years, the Weather Research and Forecasting Model (WRF) has been gaining popularity as a low-cost alternative source of data for wind resource assessments. This paper investigates the impact of selected time control, and nudging options on wind simulations in WRF. We conducted 15 numerical...

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Main Authors: Denis E.K. Dzebre, Akwasi A. Acheampong, Joshua Ampofo, Muyiwa S. Adaramola
Format: Article
Language:English
Published: Elsevier 2019-03-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844018378903
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author Denis E.K. Dzebre
Akwasi A. Acheampong
Joshua Ampofo
Muyiwa S. Adaramola
author_facet Denis E.K. Dzebre
Akwasi A. Acheampong
Joshua Ampofo
Muyiwa S. Adaramola
author_sort Denis E.K. Dzebre
collection DOAJ
description Over the years, the Weather Research and Forecasting Model (WRF) has been gaining popularity as a low-cost alternative source of data for wind resource assessments. This paper investigates the impact of selected time control, and nudging options on wind simulations in WRF. We conducted 15 numerical experiments, combining 5 simulation run-times and 3 options for disabling nudging in the Planetary Boundary Layer (PBL) in WRF. Hourly wind speed and direction predictions were compared with actual measurements at 40 m, 50 m and 60 m a.g.l. From our results, we recommend that, for optimum performance, the method of disabling nudging in the PBL should be chosen with simulation run times in mind. For wind simulations in our study area, up to 2 days run-times with nudging disabled below 1600 m in model configurations gives the best wind speed predictions. However, disabling nudging below the model-calculated PBL height offers more consistent results and produces relatively less prediction error with longer run times.
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spelling doaj.art-41b82165b5ee48749bfb8332c90943152022-12-21T19:20:36ZengElsevierHeliyon2405-84402019-03-0153e01385A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting ModelDenis E.K. Dzebre0Akwasi A. Acheampong1Joshua Ampofo2Muyiwa S. Adaramola3Faculty of Environmental Sciences and Natural Resources, Norwegian University of Life Sciences, Ås, Norway; Department of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; The Brew-Hammond Energy Centre, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Corresponding author.Department of Geomatic Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaFaculty of Environmental Sciences and Natural Resources, Norwegian University of Life Sciences, Ås, Norway; Corresponding author.Over the years, the Weather Research and Forecasting Model (WRF) has been gaining popularity as a low-cost alternative source of data for wind resource assessments. This paper investigates the impact of selected time control, and nudging options on wind simulations in WRF. We conducted 15 numerical experiments, combining 5 simulation run-times and 3 options for disabling nudging in the Planetary Boundary Layer (PBL) in WRF. Hourly wind speed and direction predictions were compared with actual measurements at 40 m, 50 m and 60 m a.g.l. From our results, we recommend that, for optimum performance, the method of disabling nudging in the PBL should be chosen with simulation run times in mind. For wind simulations in our study area, up to 2 days run-times with nudging disabled below 1600 m in model configurations gives the best wind speed predictions. However, disabling nudging below the model-calculated PBL height offers more consistent results and produces relatively less prediction error with longer run times.http://www.sciencedirect.com/science/article/pii/S2405844018378903Atmospheric scienceEnvironmental science
spellingShingle Denis E.K. Dzebre
Akwasi A. Acheampong
Joshua Ampofo
Muyiwa S. Adaramola
A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model
Heliyon
Atmospheric science
Environmental science
title A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model
title_full A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model
title_fullStr A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model
title_full_unstemmed A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model
title_short A sensitivity study of Surface Wind simulations over Coastal Ghana to selected Time Control and Nudging options in the Weather Research and Forecasting Model
title_sort sensitivity study of surface wind simulations over coastal ghana to selected time control and nudging options in the weather research and forecasting model
topic Atmospheric science
Environmental science
url http://www.sciencedirect.com/science/article/pii/S2405844018378903
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