Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

被引:46
|
作者
Dewitte, Steven [1 ]
Cornelis, Jan P. [2 ]
Muller, Richard [3 ]
Munteanu, Adrian [2 ]
机构
[1] Royal Meteorol Inst Belgium, B-1180 Brussels, Belgium
[2] Vrije Univ Brussel, Fac Sci Appl, B-1050 Brussels, Belgium
[3] Deutsch Wetterdienst, D-63067 Offenbach, Germany
关键词
Artificial Intelligence; weather forecast; climate monitoring and prediction; observations; nowcasting; warnings; DATA ASSIMILATION; GLOBAL WEATHER; WRF MODEL; RESOLUTION; IMPACT; EVENT;
D O I
10.3390/rs13163209
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Artificial Intelligence (AI) is an explosively growing field of computer technology, which is expected to transform many aspects of our society in a profound way. AI techniques are used to analyse large amounts of unstructured and heterogeneous data and discover and exploit complex and intricate relations among these data, without recourse to an explicit analytical treatment of those relations. These AI techniques are unavoidable to make sense of the rapidly increasing data deluge and to respond to the challenging new demands in Weather Forecast (WF), Climate Monitoring (CM) and Decadal Prediction (DP). The use of AI techniques can lead simultaneously to: (1) a reduction of human development effort, (2) a more efficient use of computing resources and (3) an increased forecast quality. To realise this potential, a new generation of scientists combining atmospheric science domain knowledge and state-of-the-art AI skills needs to be trained. AI should become a cornerstone of future weather and climate observation and modelling systems.
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页数:12
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