| 注册
首页|期刊导航|热带气象学报|基于广东数值天气预报模式产品的扰动天气图系统

基于广东数值天气预报模式产品的扰动天气图系统

文秋实 梁卓轩 魏丹淇 钱维宏

热带气象学报2024,Vol.40Issue(4):633-649,17.
热带气象学报2024,Vol.40Issue(4):633-649,17.DOI:10.16032/j.issn.1004-4965.2024.056

基于广东数值天气预报模式产品的扰动天气图系统

Anomaly-based Weather Map Post-processing System Based on Numerical Weather Precliction Model Products in Guangdong

文秋实 1梁卓轩 1魏丹淇 2钱维宏3

作者信息

  • 1. 中国气象局广州热带海洋气象研究所/广东省区域数值天气预报重点实验室,广东 广州 510641
  • 2. 中国气象局广州热带海洋气象研究所/广东省区域数值天气预报重点实验室,广东 广州 510641||广东海洋大学海洋与气象学院,广东 湛江 524088
  • 3. 中国气象局广州热带海洋气象研究所/广东省区域数值天气预报重点实验室,广东 广州 510641||北京大学物理学院大气海洋科学系,北京 100871
  • 折叠

摘要

Abstract

Multi-model numerical products have become the primary information source in short-term weather forecasting.To extract information on different types of weather systems,the anomaly-based weather map post-processing system based on the European Center global model product has been developed by Peking University.In this study,the anomaly-based weather map post-processing system was implemented in the Guangdong Regional Model(CMA-GD)product.Given that the CMA-GD model is non-hydrostatic and may have certain systematic biases,we proposed a basic scheme that better estimates the weather anomaly signals from the regional model forecast data.This paper details the localized anomaly-based weather map post-processing system,and demonstrates an example of tropical cyclone forecast based on the system outputs.The results show that the anomalous weather map generated based on the localized system can show finer spatio-temporal characteristics,especially the non-hydrostatic features.The presented system can help forecasters understand the anomaly-based weather analysis approach and be familiar with its application in daily weather forecast operations and weather process review summaries.

关键词

广东模式产品/扰动天气图/业务系统

Key words

Guangdong model products/anomaly weather map/post-processing system/CMA-GD/CMA-TRAMS

分类

天文与地球科学

引用本文复制引用

文秋实,梁卓轩,魏丹淇,钱维宏..基于广东数值天气预报模式产品的扰动天气图系统[J].热带气象学报,2024,40(4):633-649,17.

基金项目

广东省"珠江人才"计划创新创业团队-台风数值预报技术创新团队(2019ZT08G669) (2019ZT08G669)

国家自然科学基金联合基金项目(U1811464) (U1811464)

中国气象局/广东省区域数值天气预报重点实验室开放基金(J202001)共同资助 (J202001)

热带气象学报

OA北大核心CSTPCD

1004-4965

访问量0
|
下载量0
段落导航相关论文