55 citations · 113 across the 8 of their papers we have counts for
4 papers · 1 filter
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen +4
Data assimilation (DA) is integrated with machine learning in order to perform entirely data-driven online state estimation. To achieve this, recurrent neural networks (RNNs) are i…
Identifying efficient ensemble perturbations for initializing subseasonal-to-seasonal prediction
Jonathan Demaeyer, Stephen G. Penny, Stéphane Vannitsem
The prediction of the weather at subseasonal-to-seasonal (S2S) timescales is dependent on both initial and boundary conditions. An open question is how to best initialize a relativ…
Robust Forecasting using Predictive Generalized Synchronization in Reservoir Computing
Jason A. Platt, Adrian S. Wong, Randall Clark +2
Reservoir computers (RC) are a form of recurrent neural network (RNN) used for forecasting timeseries data. As with all RNNs, selecting the hyperparameters presents a challenge whe…
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization
Jason A. Platt, Adrian Wong, Randall Clark +2
Reservoir computers (RC) are a form of recurrent neural network (RNN) used for forecasting time series data. As with all RNNs, selecting the hyperparameters presents a challenge wh…