中圖分類號(hào)：P4567文獻(xiàn)標(biāo)識(shí)碼：ADOI:10.19358/j.issn.2097-1788.2024.01.004
引用格式：郭亞楠,，曹小群,，周夢(mèng)鴿，等. 大數(shù)據(jù)時(shí)代：數(shù)值天氣預(yù)報(bào)的機(jī)遇與挑戰(zhàn)［J］.網(wǎng)絡(luò)安全與數(shù)據(jù)治理,，2024,，43（1）：28-32.

The big data era: opportunities and challenges for numerical weather prediction

Abstract： With the continuous development of earth observation systems and numerical simulation methods, numerical weather prediction research has entered a new paradigm driven by data. Atmospheric science has also entered the era of big data, and the application of big data technology in the development of numerical weather prediction has become a hot topic in atmospheric science research. From the connotation, classification, and characteristics of meteorological and oceanic big data, it summarizes the application of meteorological and oceanic big data in numerical weather prediction. From a technical perspective, it analyzes issues such as data assimilation, parameterization of physical processes, correction of numerical forecast products, and development of models for the integration of big data and physical laws. Through indepth exploration and prospects of relevant applications, important reference basis is provided for the integration and development of meteorological and oceanic big data and numerical weather prediction.

Key words : meteorology; oceans; big data; numerical weather prediction