The tangent linear and adjoint versions of GraphCast and NeuralGCM produce noisier and more localized sensitivity patterns than those of MPAS-A, calling into question their readiness for data assimilation.
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Exploring the Use of Machine Learning Weather Models in Data Assimilation
The tangent linear and adjoint versions of GraphCast and NeuralGCM produce noisier and more localized sensitivity patterns than those of MPAS-A, calling into question their readiness for data assimilation.