Parallel data analysis for atmospheric science
Data sizes are growing in atmospheric science, as climate models increase to higher resolutions to improve the representation of atmospheric phenomena, and larger numbers of ensemble members are used so as to better capture the variability in the atmosphere. New methods need to be developed to handl...
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University of Reading
2018
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.749359 |