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machine learning and physical methods. Initially, observations from existing instruments with similar characteristics will be employed to develop ways to assimilate the sea-ice and snow information from
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to analyse land surface temperature variables in a coupled land-atmosphere data assimilation system, using a combination of machine learning and physical methods. Initially, observations from existing
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partnerships with 35 Member and Co-operating States and the international community, some of the most powerful supercomputers in the world, and the use of innovative technologies and machine learning across our
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supercomputers in the world, and the use of innovative technologies and machine learning across our operations. ECMWF has also developed a strong partnership with the European Union and has been entrusted with