42 citations · 223 across the 17 of their papers we have counts for
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physics.comp-ph2021★ 27 cited
Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation
Lucia Minah Yang, Ian Grooms
Using generative models from the machine learning literature to create artificial ensemble members for use within data assimilation schemes has been introduced in [Grooms QJRMS, 20…
physics.comp-ph2020★ 28 cited
Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders
Ian Grooms
It is proposed to use analogs of the forecast mean to generate an ensemble of perturbations for use in ensemble optimal interpolation (EnOI) or ensemble variational (EnVar) methods…
physics.comp-ph2013★ 42 cited
Stochastic superparameterization in quasigeostrophic turbulence
Ian Grooms, Andrew J Majda
In this article we expand and develop the authors' recent proposed methodology for efficient stochastic superparameterization (SP) algorithms for geophysical turbulence. Geophysica…