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On computation of the design function gradient for the sensor-location problem in variational data assimilation

This paper gives new computational options for design and optimisation of sensor locations. It can be used for data assimilation involving models with distributed parameters, such as those used in weather and ocean forecasting. The results were recognized by the reviewers as "a highly significant contribution to optimal design theory". The body of work in Gejadze's REF papers underpinned his NERC Advanced Fellowship (NE/J018201/1) where the research will be applied within the framework of the NEMO ocean model, with the UK Met Office, to improve global predictions of ocean flow, temperature, salinity. (Mike Bell, National Centre for Ocean Forecasting, mike.bell@metoffice.gov.uk)