陈静,朱跃建,段晚锁,智协飞,闵锦忠,李晓莉,邓国,袁慧玲,冯杰,杜钧,李巧萍,龚建东,沈学顺,穆穆. 2025. 集合预报进展、挑战及展望*[J]. 气象学报, (0):-, doi:[doi]
集合预报进展、挑战及展望*
A review on development, challenges and future perspectives of ensemble forecast
投稿时间:2024-09-11  修订日期:2025-02-12
DOI:
中文关键词:  集合预报,方法,中国集合预报,回顾
英文关键词:Ensemble  forecast, Method, CMA  ensemble forecast, Review
基金项目:国家自然科学基金项目(U2242213,42341209)
作者单位邮编
陈静* 中国气象局地球系统数值预报中心 100081
朱跃建  100081
段晚锁  100029
智协飞  210044
闵锦忠  210044
李晓莉  100081
邓国  100081
袁慧玲  210008
冯杰  200433
杜钧  20740
李巧萍  100081
龚建东  100081
沈学顺  100081
穆穆  200433
摘要点击次数: 380
全文下载次数: 159
中文摘要:
      本文系统地概述了集合预报的发展历程和国内外主要的集合预报方法,重点回顾了中国全球/区域集合预报预测系统发展历程、集合预报系统业务技术、初值扰动技术、模式扰动技术和集合预报应用的进步,以及与当前国际主要数值预报中心集合预报水平的对比。最后针对集合预报系统逐步走向对流尺度、海陆气冰耦合模式的趋势,从业务、科学、人工智能与集合预报、天气气候一体化以及用户需求等方面分析了集合预报技术发展面临的主要挑战,最后进行总结及展望。
英文摘要:
      This paper reviews the development of ensemble forecast and the primary techniques employed in the main ensemble prediction systems (EPS) designed by China and other countries. Here, the emphasis is placed on the development of China Meteorological Administration (CMA) global and regional EPSs, focusing on operational technologies, initial and model perturbation methods, and the applications of ensemble forecast. Besides, the analysis is provided to present the similar forecast skills by comparing the verification results of CMA EPS and other major international NWP centers. According to the trend of the EPS towards convective-scale and sea-land-air-ice coupling, the paper addresses the key challenges in ensemble forecast technologies on the aspects of operation, science, integrated with Artificial Intelligence (AI), the integration of weather and climate, and user requirements. The summaries and future perspectives of ensemble forecast are concluded in the end.
查看全文   查看/发表评论  下载PDF阅读器