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Status: Unchecked ×Keyword: tangent linear model ×Clear all

1 claim from 1 paper

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   Building Tangent‐Linear and Adjoint Models for Data Assimilation With Neural Networks

   Hatfield, Chantry, Dueben, Lopez, Geer and Palmer · Journal of Advances in Modeling Earth Systems · 2021

   The authors emulate a weather model's gravity wave drag scheme with a neural network and derive its tangent-linear and adjoint models, to ease building the linearised models that 4D-Var data assimilation needs.

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   1. UncheckedTangent-linear and adjoint models derived from a neural network emulator of gravity wave drag pass standard tests and can be used in 4D-Var data assimilation.“We demonstrate that these neural network‐derived tangent‐linear and adjoint models not only pass the standard consistency tests but also can be used successfully to do 4D‐Var data assimilation.”