Data assimilation is a mathematical approach employed by leading operational weather forecast centers worldwide. Its primary purpose is to estimate the most accurate atmospheric state and its associated uncertainties by integrating observations and short-range forecasts. Data assimilation methodologies extend beyond weather prediction; they play a crucial role in monitoring and comprehending climate and its variability through reanalysis of historical data. This versatile tool is instrumental in investigating processes within the domains of Land, Atmosphere, and Oceans.The field of Data Assimilation is unfortunately constrained by a scarcity of well-trained scientists and researchers familiar with its theoretical foundations and practical applications. To address this gap, we are organizing a two-week workshop with a specific focus. This workshop aims to provide comprehensive training by introducing fundamental data assimilation theory and facilitating hands-on sessions, particularly f...
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