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• W947374327 abstract "Novel methods are developed to directly assimilate remote sensing data to (a) discrete in situ monitoring data and (b) environmental models. The objective is to investigate the feasibility of the developed methods as they are applied to the operative and semi-operative systems employed in Finland by the Finnish Environment Institute. The development work is focused on (a) water quality monitoring and prediction and (b) hydrological monitoring and forecasting. The investigated applications include the monitoring and prediction of snowmelt, runoff and the level of soil moisture/evapotranspiration. The developed assimilation procedures take into account the accuracy characteristics of physical models (or those of in situ data), the accuracy of remote sensing data and models, and additionally, the propagation of errors with time. The first test results of satellite data assimilation to dynamical environmental models were obtained in snowmelt monitoring/discharge forecasting. These results indicate that the inclusion of satellite data improves the performance of run-off forecasting models during the critical snow melt period. As well, encouraging results were obtained in the in the case of snow depth mapping when assimilating remote sensing data to discrete in situ observations (to snow depth values interpolated from discrete observation data)." @default.
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• W947374327 date "2003-01-01" @default.
• W947374327 modified "2023-09-23" @default.
• W947374327 title "Development of methods to assimilate satellite observations to operative environmental monitoring and forecasting system of Finland." @default.
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