@article{ZOU2025, 
author = {Xiaolei ZOU},
title = {Overview and New Opportunities for Multi-Source Data Assimilation},
year = {2025},
journal = {Journal of Meteorological Research},
volume = {39},
number = {1},
pages = {1-25},
keywords = {multi-source observations, data assimilation, innovative use of high-resolution observations},
url = {https://www.sciopen.com/article/10.1007/s13351-025-4140-3},
doi = {10.1007/s13351-025-4140-3},
abstract = {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.}
}