Overview and New Opportunities for Multi-Source Data Assimilation  

作　　者：Xiaolei ZOU 

机构地区：[1]Joint Center of Data Assimilation for Research and Application,Nanjing University of Information Science&Technology,Nanjing,210044,China

出　　处：《Journal of Meteorological Research》2025年第1期1-25,共25页气象学报(英文版)

基　　金：Supported by the National Key Research and Development Program of China(2018YFC1507004).

摘　　要：The world witnessed an accelerated development of various types of meteorological observing technology,an evolution of numerical weather prediction(NWP)models from single atmospheric component to coupled multi-components of the earth system,as well as the multi graphics processing unit technology in computer sciences,a new era for rapidly advancing data assimilation science and technology development has arrived.The multi-source data assimilation is important not only for NWP but also for further understanding of global and regional weather changes.This article firstly selectively reviews past methods of multi-source data assimilation.New opportunities are then discussed for future development of data assimilation system framework,for innovative uses of high-resolution observations,and for applications of artificial intelligence machine learning in meteorological data assimilation.

关 键 词：multi-source observations data assimilation innovative use of high-resolution observations 

分 类 号：P45[天文地球—大气科学及气象学]