Application Paper
Limitations of econometric evaluation of nonrandomized residential energy efficiency programs: A case study of Northern California rebate programs
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- 13 April 2022, e1
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Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks
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- 13 April 2022, e2
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Position Paper
Evolution of machine learning in environmental science—A perspective
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- 13 April 2022, e3
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Data Paper
PaleoRec: A sequential recommender system for the annotation of paleoclimate datasets
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- 13 April 2022, e4
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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
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- 13 April 2022, e5
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Position Paper
Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science
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- 13 April 2022, e6
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Forecasting commodity returns by exploiting climate model forecasts of the El Niño Southern Oscillation
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- 13 April 2022, e7
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Methods Paper
Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset
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- 09 June 2022, e8
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Application Paper
Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning
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- 22 June 2022, e9
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Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour average ozone prediction
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- 01 July 2022, e10
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A sensitivity analysis of a regression model of ocean temperature
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- 30 August 2022, e11
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Methods Paper
A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections
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- 27 September 2022, e12
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Data Paper
High-resolution tropical rain-forest canopy climate data
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- 17 October 2022, e13
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Methods Paper
Advancing interpretability of machine-learning prediction models
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- 25 October 2022, e14
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Quantifying uncertainty in land cover mappings: An adaptive approach to sampling reference data using Bayesian inference
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- 25 October 2022, e15
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Position Paper
Statistical mechanics in climate emulation: Challenges and perspectives
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- 11 November 2022, e16
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Application Paper
Modeling stratospheric polar vortex variation and identifying vortex extremes using explainable machine learning
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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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- 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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- 25 November 2022, e19
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Application Paper
Physics-informed learning of aerosol microphysics
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- 28 November 2022, e20
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