Application Paper
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence
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- 10 January 2023, e1
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Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization
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- 11 January 2023, e2
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Methods Paper
DL4DS—Deep learning for empirical downscaling
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- 16 January 2023, e3
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Corrigendum
A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections – CORRIGENDUM
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- 17 January 2023, e4
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Application Paper
Learning the spatiotemporal relationship between wind and significant wave height using deep learning
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- 15 February 2023, e5
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Methods Paper
AtmoDist: Self-supervised representation learning for atmospheric dynamics
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- 21 February 2023, e6
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Application Paper
Skillful statistical prediction of subseasonal temperature by training on dynamical model data
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- 23 February 2023, e7
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Addendum
Modeling stratospheric polar vortex variation and identifying vortex extremes using explainable machine learning – ADDENDUM
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- 28 February 2023, e8
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Data Paper
A climate index collection based on model data
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- 02 May 2023, e9
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Methods Paper
Probabilistic Prediction of Oceanographic Velocities with Multivariate Gaussian Natural Gradient Boosting
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- 02 May 2023, e10
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Application Paper
Calibrated river-level estimation from river cameras using convolutional neural networks
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- 04 May 2023, e11
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Domain-invariant icing detection on wind turbine rotor blades with generative artificial intelligence for deep transfer learning
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- 07 June 2023, e12
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Toward low-cost automated monitoring of life below water with deep learning
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- 13 June 2023, e13
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Rapid assessment of vessel noise events and quiet periods in Glacier Bay National Park and Preserve using a convolutional neural net
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- 15 June 2023, e14
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Methods Paper
Sinh-arcsinh-normal distributions to add uncertainty to neural network regression tasks: Applications to tropical cyclone intensity forecasts
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- 15 June 2023, e15
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Exploring the nonstationarity of coastal sea level probability distributions
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- 16 June 2023, e16
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A precipitation downscaling method using a super-resolution deconvolution neural network with step orography
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- 30 June 2023, e17
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Ensemble-based 4DVarNet uncertainty quantification for the reconstruction of sea surface height dynamics
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- 30 June 2023, e18
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Application Paper
Understanding cirrus clouds using explainable machine learning
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- 04 July 2023, e19
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Methods Paper
Neural style transfer between observed and simulated cloud images to improve the detection performance of tropical cyclone precursors
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- 04 July 2023, e20
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