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A Neural-Network Model-Measurement-Based Observation Operator For Weather Radar Reflectivity Assimilation
In three-dimensional variational data assimilation (3DVar) for numerical weather prediction (NWP), the observation operator $\mathcal{H}$ plays a central role by mapping model state variables to an observation equivalent. For weather radar, however, specifying $\mathcal{H}$ is particularly challengi
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