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My research focuses on the use of data assimilation and causality (cause and effect) inference for better understanding geophysical fluids, with emphasis on the atmosphere and the ocean. This includes further development of data-assimilation methodology for highly nonlinear high-dimensional geophysical systems and of causality theory for these systems. I also have a research group at the University of Reading, working on these two projects:
Data assimilation in highly nonlinear systems
CUNDA: Causality Relations using nonlinear Data Assimilation
Research Interests
Papers共 200 篇Author StatisticsCo-AuthorSimilar Experts
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QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2024)
CoRR (2024)
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JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERESno. 4 (2024)
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPANno. 4 (2023): 233-253
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHYno. 1 (2023): 108-128
arXiv (Cornell University) (2023)
FOUNDATIONS OF DATA SCIENCEno. 0 (2023): 0-0
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