Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe

The grid size resolution effect on the annual and seasonal simulated mean, maximum and minimum daily temperatures and precipitation is assessed using the Advanced Research Weather Research and Forecasting model (ARW-WRF, hereafter WRF) that dynamically downscales the National Centers for Environment...

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Main Authors: Ioannis Stergiou, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/2/278
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author Ioannis Stergiou
Efthimios Tagaris
Rafaella-Eleni P. Sotiropoulou
author_facet Ioannis Stergiou
Efthimios Tagaris
Rafaella-Eleni P. Sotiropoulou
author_sort Ioannis Stergiou
collection DOAJ
description The grid size resolution effect on the annual and seasonal simulated mean, maximum and minimum daily temperatures and precipitation is assessed using the Advanced Research Weather Research and Forecasting model (ARW-WRF, hereafter WRF) that dynamically downscales the National Centers for Environmental Prediction’s final (NCEP FNL) Operational Global Analysis data. Simulations were conducted over central Europe for the year 2015 using 36, 12 and 4 km grid resolutions. Evaluation is done using daily E-OBS data. Several performance metrics and the bias adjusted equitable threat score (BAETS) for precipitation are used. Results show that model performance for mean, maximum and minimum temperature improves when increasing the spatial resolution from 36 to 12 km, with no significant added value when further increasing it to 4 km. Model performance for precipitation is slightly worsened when increasing the spatial resolution from 36 to 12 km while further increasing it to 4 km has minor effect. However, simulated and observed precipitation data are in quite good agreement in areas with precipitation rates below 3 mm/day for all three grid resolutions. The annual mean fraction of observed and/or forecast events that were correctly predicted (BAETS), when increasing the grid size resolution from 36 to 12 and 4 km, suggests a slight modification on average over the domain. During summer the model presents significantly lower BAETS skill score compared to the rest of the seasons.
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spelling doaj.art-8dc4a1e763c647af81eb075ee703b63e2023-12-11T17:41:44ZengMDPI AGAtmosphere2073-44332021-02-0112227810.3390/atmos12020278Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central EuropeIoannis Stergiou0Efthimios Tagaris1Rafaella-Eleni P. Sotiropoulou2Department of Mechanical Engineering, University of Western Macedonia, 50132 Kozani, GreeceDepartment of Chemical Engineering, University of Western Macedonia, 50132 Kozani, GreeceDepartment of Mechanical Engineering, University of Western Macedonia, 50132 Kozani, GreeceThe grid size resolution effect on the annual and seasonal simulated mean, maximum and minimum daily temperatures and precipitation is assessed using the Advanced Research Weather Research and Forecasting model (ARW-WRF, hereafter WRF) that dynamically downscales the National Centers for Environmental Prediction’s final (NCEP FNL) Operational Global Analysis data. Simulations were conducted over central Europe for the year 2015 using 36, 12 and 4 km grid resolutions. Evaluation is done using daily E-OBS data. Several performance metrics and the bias adjusted equitable threat score (BAETS) for precipitation are used. Results show that model performance for mean, maximum and minimum temperature improves when increasing the spatial resolution from 36 to 12 km, with no significant added value when further increasing it to 4 km. Model performance for precipitation is slightly worsened when increasing the spatial resolution from 36 to 12 km while further increasing it to 4 km has minor effect. However, simulated and observed precipitation data are in quite good agreement in areas with precipitation rates below 3 mm/day for all three grid resolutions. The annual mean fraction of observed and/or forecast events that were correctly predicted (BAETS), when increasing the grid size resolution from 36 to 12 and 4 km, suggests a slight modification on average over the domain. During summer the model presents significantly lower BAETS skill score compared to the rest of the seasons.https://www.mdpi.com/2073-4433/12/2/278WRFCentral Europespatial resolutiontemperatureprecipitationsensitivity
spellingShingle Ioannis Stergiou
Efthimios Tagaris
Rafaella-Eleni P. Sotiropoulou
Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe
Atmosphere
WRF
Central Europe
spatial resolution
temperature
precipitation
sensitivity
title Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe
title_full Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe
title_fullStr Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe
title_full_unstemmed Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe
title_short Investigating the WRF Temperature and Precipitation Performance Sensitivity to Spatial Resolution over Central Europe
title_sort investigating the wrf temperature and precipitation performance sensitivity to spatial resolution over central europe
topic WRF
Central Europe
spatial resolution
temperature
precipitation
sensitivity
url https://www.mdpi.com/2073-4433/12/2/278
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AT efthimiostagaris investigatingthewrftemperatureandprecipitationperformancesensitivitytospatialresolutionovercentraleurope
AT rafaellaelenipsotiropoulou investigatingthewrftemperatureandprecipitationperformancesensitivitytospatialresolutionovercentraleurope