Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical model to generate state estimates. These techniques are essential for numerical weather and climate predictions, but aplications of DA to many other scientific and engineering disciplines are emerging rapidly. DA is inherently interdisciplinary in nature and requires close collaborations and interactions between researchers inatmospheric sciences, in nonlinear dynamics and complex systems, and in applied mathematics and statistics.The Data Assimilation Research Program (DARP) is primarily aimed at developing an interest within the academic and scientific community in pure and applied research related to DA, in order to form a group of researchers, developers, and users of data assimilation systems.The initial set of activities will consist of a "Monsoon School on Mathematical and Statistical Foundations of Data Assimilation" along with an "International Conference o...
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