On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity

Limitations to operational weather forecasts exist in terms of availability of computer (and human) resources combined with operational deadlines. For operational weather services it is therefore important to utilize their resources to maximize the predictive capability. This study shows how forecas...

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Published in:Tellus A: Dynamic Meteorology and Oceanography
Main Authors: Morten KØltzow, Rafael Grote, Andrew Singleton
Format: Article in Journal/Newspaper
Language:English
Published: Stockholm University Press 2021
Subjects:
Online Access:https://doi.org/10.1080/16000870.2021.1976093
https://doaj.org/article/b068e18694b2417c824fb413c7a6253c
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spelling ftdoajarticles:oai:doaj.org/article:b068e18694b2417c824fb413c7a6253c 2023-05-15T14:48:25+02:00 On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity Morten KØltzow Rafael Grote Andrew Singleton 2021-01-01T00:00:00Z https://doi.org/10.1080/16000870.2021.1976093 https://doaj.org/article/b068e18694b2417c824fb413c7a6253c EN eng Stockholm University Press http://dx.doi.org/10.1080/16000870.2021.1976093 https://doaj.org/toc/1600-0870 1600-0870 doi:10.1080/16000870.2021.1976093 https://doaj.org/article/b068e18694b2417c824fb413c7a6253c Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-18 (2021) arctic regional numerical weather prediction operational forecast quality ensemble prediction system high-resolution initialization Oceanography GC1-1581 Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.1080/16000870.2021.1976093 2022-12-30T23:58:19Z Limitations to operational weather forecasts exist in terms of availability of computer (and human) resources combined with operational deadlines. For operational weather services it is therefore important to utilize their resources to maximize the predictive capability. This study shows how forecast quality in a state-of-the-art high-resolution regional Arctic Numerical Weather Prediction (NWP) system changes with varying configuration choices; (1) Ensemble Prediction System (EPS), (2) higher spatial resolution, (3) atmospheric initialization by assimilation of observations, (4) surface initialization by assimilation of observations and by (5) changing the regional domain and location. Results from such inter-comparisons are useful guidance for (Arctic) weather forecast systems, and can together with information on e.g. user-needs and post-processing capabilities be used to maximize the operational predictive capacity. All configuration choices have a significant impact on the forecast quality of near-surface parameters, but the impact varies with parameter, region, weather type, lead time and part of the forecast evaluated (e.g. average errors or rare events). Higher spatial resolution and EPS are expensive, but are still promising to further improve state-of-the-art regional Arctic high-resolution NWP systems. In particular when forecasting rare events regional EPS shows huge benefits. Assimilation of observations in the initialization process of the regional NWP system has also a positive impact on forecast quality. Finally, although less pronounced, the choice of the domain size and location also has a significant impact and should therefore be chosen carefully. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Tellus A: Dynamic Meteorology and Oceanography 73 1 1 18
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic arctic regional numerical weather prediction
operational forecast quality
ensemble prediction system
high-resolution
initialization
Oceanography
GC1-1581
Meteorology. Climatology
QC851-999
spellingShingle arctic regional numerical weather prediction
operational forecast quality
ensemble prediction system
high-resolution
initialization
Oceanography
GC1-1581
Meteorology. Climatology
QC851-999
Morten KØltzow
Rafael Grote
Andrew Singleton
On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
topic_facet arctic regional numerical weather prediction
operational forecast quality
ensemble prediction system
high-resolution
initialization
Oceanography
GC1-1581
Meteorology. Climatology
QC851-999
description Limitations to operational weather forecasts exist in terms of availability of computer (and human) resources combined with operational deadlines. For operational weather services it is therefore important to utilize their resources to maximize the predictive capability. This study shows how forecast quality in a state-of-the-art high-resolution regional Arctic Numerical Weather Prediction (NWP) system changes with varying configuration choices; (1) Ensemble Prediction System (EPS), (2) higher spatial resolution, (3) atmospheric initialization by assimilation of observations, (4) surface initialization by assimilation of observations and by (5) changing the regional domain and location. Results from such inter-comparisons are useful guidance for (Arctic) weather forecast systems, and can together with information on e.g. user-needs and post-processing capabilities be used to maximize the operational predictive capacity. All configuration choices have a significant impact on the forecast quality of near-surface parameters, but the impact varies with parameter, region, weather type, lead time and part of the forecast evaluated (e.g. average errors or rare events). Higher spatial resolution and EPS are expensive, but are still promising to further improve state-of-the-art regional Arctic high-resolution NWP systems. In particular when forecasting rare events regional EPS shows huge benefits. Assimilation of observations in the initialization process of the regional NWP system has also a positive impact on forecast quality. Finally, although less pronounced, the choice of the domain size and location also has a significant impact and should therefore be chosen carefully.
format Article in Journal/Newspaper
author Morten KØltzow
Rafael Grote
Andrew Singleton
author_facet Morten KØltzow
Rafael Grote
Andrew Singleton
author_sort Morten KØltzow
title On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
title_short On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
title_full On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
title_fullStr On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
title_full_unstemmed On the configuration of a regional Arctic Numerical Weather Prediction system to maximize predictive capacity
title_sort on the configuration of a regional arctic numerical weather prediction system to maximize predictive capacity
publisher Stockholm University Press
publishDate 2021
url https://doi.org/10.1080/16000870.2021.1976093
https://doaj.org/article/b068e18694b2417c824fb413c7a6253c
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-18 (2021)
op_relation http://dx.doi.org/10.1080/16000870.2021.1976093
https://doaj.org/toc/1600-0870
1600-0870
doi:10.1080/16000870.2021.1976093
https://doaj.org/article/b068e18694b2417c824fb413c7a6253c
op_doi https://doi.org/10.1080/16000870.2021.1976093
container_title Tellus A: Dynamic Meteorology and Oceanography
container_volume 73
container_issue 1
container_start_page 1
op_container_end_page 18
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