Climate Informatics 2022
Application Paper
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence
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- Environmental Data Science / Volume 2 / 2023
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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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- Environmental Data Science / Volume 2 / 2023
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- 11 January 2023, e2
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Methods Paper
DL4DS—Deep learning for empirical downscaling
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- Environmental Data Science / Volume 2 / 2023
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- 16 January 2023, e3
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Application Paper
Learning the spatiotemporal relationship between wind and significant wave height using deep learning
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- Environmental Data Science / Volume 2 / 2023
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- 15 February 2023, e5
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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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- Environmental Data Science / Volume 2 / 2023
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- 15 June 2023, e14
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Modeling stratospheric polar vortex variation and identifying vortex extremes using explainable machine learning
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- Environmental Data Science / Volume 1 / 2022
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- 21 November 2022, e17
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Predicting cyclone landfall using mutual information and dilated recurrent neural network
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- Environmental Data Science / Volume 1 / 2022
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- 25 November 2022, e18
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Methods Paper
ResDeepD: A residual super-resolution network for deep downscaling of daily precipitation over India
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- Environmental Data Science / Volume 1 / 2022
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- 25 November 2022, e19
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Application Paper
Physics-informed learning of aerosol microphysics
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- Environmental Data Science / Volume 1 / 2022
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- 28 November 2022, e20
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Modeling the relationship between vertical temperature profiles and acute surface-level ozone events in the US Southwest by spatially smoothing a functional quantile regression estimator
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- Environmental Data Science / Volume 1 / 2022
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- 01 December 2022, e21
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Stochastic parameterization of column physics using generative adversarial networks
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- Environmental Data Science / Volume 1 / 2022
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- 01 December 2022, e22
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Methods Paper
A dependent multimodel approach to climate prediction with Gaussian processes
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- Environmental Data Science / Volume 1 / 2022
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- 05 December 2022, e23
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Application Paper
Unsupervised domain adaptation for Global Precipitation Measurement satellite constellation using Cycle Generative Adversarial Nets
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- Environmental Data Science / Volume 1 / 2022
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- 06 December 2022, e24
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A Gaussian process state-space model for sea surface temperature reconstruction from the alkenone paleotemperature proxy
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- Environmental Data Science / Volume 1 / 2022
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- 13 December 2022, e25
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Sea surface height super-resolution using high-resolution sea surface temperature with a subpixel convolutional residual network
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- Environmental Data Science / Volume 1 / 2022
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- 20 December 2022, e26
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Week-ahead solar irradiance forecasting with deep sequence learning
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- Environmental Data Science / Volume 1 / 2022
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- 20 December 2022, e28
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A climatic random forest model of agricultural insurance loss for the Northwest United States
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- Environmental Data Science / Volume 1 / 2022
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- 20 December 2022, e29
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Toward data assimilation of ship-induced aerosol–cloud interactions
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- Environmental Data Science / Volume 1 / 2022
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- 23 December 2022, e31
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