Big Data Research ›› 2022, Vol. 8 ›› Issue (2): 89-102.doi: 10.11959/j.issn.2096-0271.2022017

• TOPOC: AEROSPACE BIG DATA • Previous Articles     Next Articles

Analysis of satellite big data requirements in numerical weather prediction

Hequn YANG1,2, Xiaofeng WANG1,3, Yanqing GAO1,3, Yiwen LU1, Bingxin MA1, Xinyao WANG1,3   

  1. 1 Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai 200030, China
    2 Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China
    3 Shanghai Innovative Center of Regional High Resolution NWP, Shanghai 200030, China
  • Online:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Natural Science Foundation of China(41801367);Shanghai Science and Technology Commission Project in Yangtze River Delta Innovation Community Field of “Science and Technology Innovation Action Plan”(20232410100)

Abstract:

Multi cooperative satellites can provide multi spectral, multi temporal, multi factor, multi scale and multi-level remote sensing data, which is rich in valuable information for numerical weather prediction (NWP).In order to support earth system seamless fine gridded forecasting service in the future, the application status of satellite observation big data was discussed for numerical weather prediction from the aspects of detection variables, time density, spatial coverage, horizontal and vertical resolution, as well as accuracy and timeliness.At the same time, in order to make satellite big data be highly tolerant with NWP, the challenges and prospects were summarized, such as multi-satellite integrated and consistent processing, all-weather, coupled data assimilation methods, deep integration with artificial intelligence, and interaction between satellite observation and prediction.

Key words: numerical weather prediction, satellite, big data, feature variable, spatiotemporal resolution, accuracy

CLC Number: 

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