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Reconstructions using data assimilationUnderstanding interannual-to-decadal climate variability and extremes requires long datasets.Climate reconstructions have provided this information for decades.However, to understand the underlying mechanisms and relate climatic changes to atmospheric circulation variability, more comprehensive datasets than hitherto available are essential.One way of achieving this is to assimilate as much high-resolution climate information as possible into climate model simulations that provide physically consistent climate states.
A Mon, study studied this question.
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