基于多分辨率模式的粤港澳前汛期降水 与低层流场预报性能评估.

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Title: 基于多分辨率模式的粤港澳前汛期降水 与低层流场预报性能评估.
Alternate Title: A Multi-Resolution Model Evaluation of Pre-Flood Season Precipitation and Low-Level Flow Field Forecasts over the Guangdong-Hong Kong-Macao Region.
Authors: 曹雨然1, 王东海1,2,3 wangdh7@mail.sysu.edu.cn
Source: Journal of Tropical Meteorology (1004-4965). Oct2025, Vol. 41 Issue 5, p728-744. 17p.
Subject Terms: *PRECIPITATION forecasting, *NUMERICAL weather forecasting, *GEOGRAPHICAL positions, *FORECASTING, *ATMOSPHERIC circulation, *WEATHER forecasting, *METEOROLOGICAL precipitation
Geographic Terms: SOUTH China Sea, GUANGDONG Sheng (China)
Abstract (English): Based on observations from national meteorological and radiosonde stations, this study comprehensively evaluates the forecast performance of precipitation and low-level flow field over the Guangdong-Hong Kong-Macao region during the pre-flood season (April to June) from 2014 to 2018 using regional numerical weather prediction models with 9 km and 3 km horizontal resolutions. Traditional precipitation scoring methods and neighborhood technique were employed, along with various statistical indicators, to assess the differences in forecast skills between the models with different resolutions, focusing on both temporal and spatial variability. The study also analyzed the applicability of different resolutions and explored the relationship between the forecast skills for precipitation and low-level flow field, providing valuable insights for optimizing mesoscale models in future regional forecasts. The results show that: (1) Both the 9 km and 3 km resolution models exhibit relatively stable forecast performance for precipitation and low-level flow fields prior to the onset of the South China Sea summer monsoon. Both models show diurnal variations in forecasting capabilities, with improved accuracy during the 08:00 LST to 12:00 LST period, while their performance during the afternoon and night, which involve more complex physical processes, is comparatively inadequate. (2) The 9 km resolution model tends to overestimate precipitation amounts, whereas the 3 km model displays smaller temporal and spatial biases in overall forecasting, demonstrating more stable forecast skills, particularly with higher accuracy for light, moderate, and heavy rainfall events. The 3 km resolution model provides more precise predictions for precipitation following the monsoon onset and during the afternoon, with reduced forecast errors in complex terrains such as the Pearl River Delta and the northern mountainous regions of Guangdong. (3) Similarly, the 3 km resolution model excels in simulating low-level flow fields, particularly in near-surface temperature and specific humidity simulations, effectively capturing their variations during the afternoon. This model also demonstrates greater precision in simulating near-surface temperature and humidity over complex terrain areas. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 利用国家级气象站和探空站的观测数据, 对2014--2018 年4--6 月期间粤港澳地区9 km和3 km分 辨率区域数值天气模式的降水及低层流场预报结果进行了综合评估。研究采用传统降水评分、邻域法, 并利用 多种统计指标评估了不同分辨率模式在前汛期的降水与低层流场预报技巧的差异及其时间、空间变化特征, 分 析了不同分辨率的适用性;进一步探索降水预报与低层流场预报技巧之间的相互联系, 为未来中尺度模式在区 域预报中的优化提供参考。(1) 9 km、3 km分辨率模式对南海夏季风爆发前降水、低层流场预报水平均相对稳 定;两种分辨率模式预报降水、低层流场预报能力均具有一定日变化, 两者对08:00--12:00 时段的预报更准确, 而对物理过程更复杂的午后和夜间预报技巧相对不足。(2) 9 km分辨率模式常高估降水量, 而3 km模式的整 体预报结果时间和空间偏差更小, 具体表现为这一分辨率模式对季风爆发后及午后时段的降水预测更精准, 且 对珠江三角洲和广东省北部山区等复杂地形的降水预报误差更小;此外, 3 km分辨率模式预报技巧更加稳定, 尤其对小雨、中雨及强降水的预报精度更高。(3) 与降水预报评估结论相似, 3 km分辨率模式对低层流场的预 报同样更出色;尤其是近地面温度场和比湿的预报中, 能够更好地捕捉午后近地面温度和湿度条件的变化;在 复杂地形区域对近地面温湿度的预报更精准。. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
Description
Abstract:Based on observations from national meteorological and radiosonde stations, this study comprehensively evaluates the forecast performance of precipitation and low-level flow field over the Guangdong-Hong Kong-Macao region during the pre-flood season (April to June) from 2014 to 2018 using regional numerical weather prediction models with 9 km and 3 km horizontal resolutions. Traditional precipitation scoring methods and neighborhood technique were employed, along with various statistical indicators, to assess the differences in forecast skills between the models with different resolutions, focusing on both temporal and spatial variability. The study also analyzed the applicability of different resolutions and explored the relationship between the forecast skills for precipitation and low-level flow field, providing valuable insights for optimizing mesoscale models in future regional forecasts. The results show that: (1) Both the 9 km and 3 km resolution models exhibit relatively stable forecast performance for precipitation and low-level flow fields prior to the onset of the South China Sea summer monsoon. Both models show diurnal variations in forecasting capabilities, with improved accuracy during the 08:00 LST to 12:00 LST period, while their performance during the afternoon and night, which involve more complex physical processes, is comparatively inadequate. (2) The 9 km resolution model tends to overestimate precipitation amounts, whereas the 3 km model displays smaller temporal and spatial biases in overall forecasting, demonstrating more stable forecast skills, particularly with higher accuracy for light, moderate, and heavy rainfall events. The 3 km resolution model provides more precise predictions for precipitation following the monsoon onset and during the afternoon, with reduced forecast errors in complex terrains such as the Pearl River Delta and the northern mountainous regions of Guangdong. (3) Similarly, the 3 km resolution model excels in simulating low-level flow fields, particularly in near-surface temperature and specific humidity simulations, effectively capturing their variations during the afternoon. This model also demonstrates greater precision in simulating near-surface temperature and humidity over complex terrain areas. [ABSTRACT FROM AUTHOR]
ISSN:10044965
DOI:10.16032/j.issn.1004-4965.2025.061