一种新的基于机器学习的偏差校正方法及其在气候预估集合中海平面的应用

M. Hieronymus, F. Hieronymus
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A Novel Machine Learning Based Bias Correction Method and Its Application to Sea Level in an Ensemble of Downscaled Climate Projections
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来源期刊
CiteScore
4.00
自引率
5.00%
发文量
21
审稿时长
3 months
期刊介绍: Tellus A: Dynamic Meteorology and Oceanography along with its sister journal Tellus B: Chemical and Physical Meteorology, are the international, peer-reviewed journals of the International Meteorological Institute in Stockholm, an independent non-for-profit body integrated into the Department of Meteorology at the Faculty of Sciences of Stockholm University, Sweden. Aiming to promote the exchange of knowledge about meteorology from across a range of scientific sub-disciplines, the two journals serve an international community of researchers, policy makers, managers, media and the general public. Original research papers comprise the mainstay of Tellus A. Review articles, brief research notes, and letters to the editor are also welcome. Special issues and conference proceedings are published from time to time. The scope of Tellus A spans dynamic meteorology, physical oceanography, data assimilation techniques, numerical weather prediction, climate dynamics and climate modelling.
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