Study of a dynamic downscaling scheme for quantitative precipitation forecasting
Dynamic downscaling is the best way to get high resolution quantitative precipitation forecasts. The Weather Research and Forecasting Model (WRF) was utilized as a dynamic downscaling tool in this study. The influence of the horizontal resolutions and the model domains on precipitation forecasts has...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-05-01
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Series: | Proceedings of the International Association of Hydrological Sciences |
Online Access: | https://www.proc-iahs.net/368/108/2015/piahs-368-108-2015.pdf |
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author | Y. Li G. H. Lu Z. Y. Wu J. Shi |
author_facet | Y. Li G. H. Lu Z. Y. Wu J. Shi |
author_sort | Y. Li |
collection | DOAJ |
description | Dynamic downscaling is the best way to get high resolution quantitative precipitation forecasts. The Weather Research and Forecasting Model (WRF) was utilized as a dynamic downscaling tool in this study. The influence of the horizontal resolutions and the model domains on precipitation forecasts has been analysed to establish an optimized dynamic downscaling scheme. Three precipitation events over Xijiang basin, China, were simulated with different horizontal resolutions and domains. The results indicate that both the horizontal resolution and model domain have an influence on the precipitation forecast. However, the correlation between high precipitation forecast accuracy and the high horizontal resolution or the large model domain were not very strong. Comprehensive consideration of the results shows that the accuracy of forecast is best when the horizontal resolution is 20-km. Although the model domain size has no significant influence on the precipitation forecast, a larger domain may improve the stability of forecasting. |
first_indexed | 2024-04-14T08:21:12Z |
format | Article |
id | doaj.art-aee89c7b304e449ea367562f184f7e8e |
institution | Directory Open Access Journal |
issn | 2199-8981 2199-899X |
language | English |
last_indexed | 2024-04-14T08:21:12Z |
publishDate | 2015-05-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Proceedings of the International Association of Hydrological Sciences |
spelling | doaj.art-aee89c7b304e449ea367562f184f7e8e2022-12-22T02:04:12ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2015-05-0136810811310.5194/piahs-368-108-2015Study of a dynamic downscaling scheme for quantitative precipitation forecastingY. Li0G. H. Lu1Z. Y. Wu2J. Shi3College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu Province, 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu Province, 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu Province, 210098, ChinaHenan Electric Power Survey & Design Institute, Zhengzhou, Henan Province, 450007, ChinaDynamic downscaling is the best way to get high resolution quantitative precipitation forecasts. The Weather Research and Forecasting Model (WRF) was utilized as a dynamic downscaling tool in this study. The influence of the horizontal resolutions and the model domains on precipitation forecasts has been analysed to establish an optimized dynamic downscaling scheme. Three precipitation events over Xijiang basin, China, were simulated with different horizontal resolutions and domains. The results indicate that both the horizontal resolution and model domain have an influence on the precipitation forecast. However, the correlation between high precipitation forecast accuracy and the high horizontal resolution or the large model domain were not very strong. Comprehensive consideration of the results shows that the accuracy of forecast is best when the horizontal resolution is 20-km. Although the model domain size has no significant influence on the precipitation forecast, a larger domain may improve the stability of forecasting.https://www.proc-iahs.net/368/108/2015/piahs-368-108-2015.pdf |
spellingShingle | Y. Li G. H. Lu Z. Y. Wu J. Shi Study of a dynamic downscaling scheme for quantitative precipitation forecasting Proceedings of the International Association of Hydrological Sciences |
title | Study of a dynamic downscaling scheme for quantitative precipitation forecasting |
title_full | Study of a dynamic downscaling scheme for quantitative precipitation forecasting |
title_fullStr | Study of a dynamic downscaling scheme for quantitative precipitation forecasting |
title_full_unstemmed | Study of a dynamic downscaling scheme for quantitative precipitation forecasting |
title_short | Study of a dynamic downscaling scheme for quantitative precipitation forecasting |
title_sort | study of a dynamic downscaling scheme for quantitative precipitation forecasting |
url | https://www.proc-iahs.net/368/108/2015/piahs-368-108-2015.pdf |
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