Most cited
This page lists all time most cited articles for this title. Please use the publication date filters on the left if you would like to restrict this list to recently published content, for example to articles published in the last three years. The number of times each article was cited is displayed to the right of its title and can be clicked to access a list of all titles this article has been cited by.
- Cited by 2
Sea surface height super-resolution using high-resolution sea surface temperature with a subpixel convolutional residual network
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- Published online by Cambridge University Press:
- 20 December 2022, e26
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- Cited by 2
Cross-modal distillation for flood extent mapping
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- Published online by Cambridge University Press:
- 07 November 2023, e37
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- Cited by 2
A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections
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- 27 September 2022, e12
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- Cited by 1
Understanding cirrus clouds using explainable machine learning
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- 04 July 2023, e19
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- Cited by 1
Exploring the nonstationarity of coastal sea level probability distributions
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- Published online by Cambridge University Press:
- 16 June 2023, e16
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- Cited by 1
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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- Cited by 1
Calibrated river-level estimation from river cameras using convolutional neural networks
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- 04 May 2023, e11
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- Cited by 1
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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- Cited by 1
High-resolution tropical rain-forest canopy climate data
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- 17 October 2022, e13
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- Cited by 1
Stochastic parameterization of column physics using generative adversarial networks
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- 01 December 2022, e22
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- Cited by 1
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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- Cited by 1
Advancing interpretability of machine-learning prediction models
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- 25 October 2022, e14
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- Cited by 1
Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters
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- 13 December 2023, e45
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- Cited by 1
Leveraging spatiotemporal information in meteorological image sequences: From feature engineering to neural networks
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- 31 July 2023, e31
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- Cited by 1
A climatic random forest model of agricultural insurance loss for the Northwest United States
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- 20 December 2022, e29
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- Cited by 1
Skillful statistical prediction of subseasonal temperature by training on dynamical model data
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- 23 February 2023, e7
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- Cited by 1
A novel workflow for streamflow prediction in the presence of missing gauge observations
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- Published online by Cambridge University Press:
- 04 July 2023, e23
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- Cited by 1
Week-ahead solar irradiance forecasting with deep sequence learning
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- 20 December 2022, e28
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- Cited by 1
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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- Cited by 1
Zonal statistics datasets of climate indicators for Brazilian municipalities
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- Published online by Cambridge University Press:
- 08 February 2024, e2
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