High|resolution downscaling with interpretable deep learning

High-resolution downscaling with interpretable deep learning

Here we test the extent to which developments in deep learning can out-perform existing statistical approaches for downscaling historical rainfall.

(PDF) High-resolution downscaling with interpretable deep learning

Here we test the extent to which developments in deep learning can out-perform existing statistical approaches for downscaling historical rainfall.

High-resolution downscaling with interpretable deep learning - OUCI

Publications that cite this publication · Comparative Assessment of Image Super-Resolution Techniques for Spatial Downscaling of Gridded Rainfall Data.

Overview Deep Learning for Climate Downscaling/Super-Resolution

High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand, -, - ; Downscaling Extreme Rainfall Using Physical-Statistical ...

Enhancing Regional Climate Downscaling through Advances in ...

Meyers, 2022a: High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand. Wea. Climate Extremes, 38, 100525, https ...

Rainfall Prediction for Case Study in Selangor | Abdul Rashid | JOIV ...

High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor.

Deep Learning for Daily Precipitation and Temperature Downscaling

In this study, the mean square error (MSE) between the downscaled data and high-resolution observations was used as a loss function. The Adam optimization ...

Repeatable high-resolution statistical downscaling through deep ...

We used deep-learning-based statistical downscaling methods to obtain daily 1 km resolution gridded data for precipitation in the Eastern Ore Mountains in ...

Rainfall Prediction for Case Study in Selangor - ResearchGate

High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor. May 2024; JOIV ...

Climate Downscaling: A Deep-Learning Based Super-resolution ...

... downscale the low-resolution precipitation data into high-resolution one. Eventually, we compare with other climate downscaling methods and ...

An improved deep learning procedure for statistical downscaling of ...

38. Rampal, N. ... High-resolution downscaling with interpretable deep learning: rainfall extremes over New Zealand. Weather Clim. Extrem ...

Deep Learning for Daily 2‐m Temperature Downscaling - Ding - 2024

... deep learning methods holds great promise for generating high-resolution temperature forecasts. 1 Introduction. Temperature is a ...

TESTING INTERPRETABILITY TECHNIQUES FOR DEEP ...

Deep Learning (DL) has recently emerged as a promising Empirical Statistical. Downscaling perfect-prognosis technique (ESD-PP), to generate high-resolution.

Transferability and Explainability of Deep Learning Emulators for ...

Meyers, 2022: High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand. Wea. Climate Extremes, 38, 100525, https ...

Multi-variable Hard Physical Constraints for Climate Model ... - arXiv

High-resolution downscaling with interpretable deep learning: Rainfall extremes over new zealand. Weather and Climate Extremes, 38:100525 ...

Exploring super-resolution spatial downscaling of several ... - Nature

High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand. Weather Clim. Extremes 38, 100525. https ...

A Deep Learning Algorithm for Downscaling Extreme Precipitation

High- resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand. Weather and Climate. Extremes, 38: 100525. Sun, L.; and ...

Using Machine Learning to Cut the Cost of Dynamical Downscaling

The framework offers a cheap and quick way to downscale large ensembles of GCMs. This could enable high-resolution climate projections from a ...

Interpretable machine learning for weather and climate prediction

et al. High-resolution downscaling with interpretable deep learning: Rainfall extremes over New Zealand. Weather Climate Extremes. (2022). RenX. et al. Deep ...

A two-fold deep-learning strategy to correct and downscale winds ...

Traditionally, the operational applications that require high-resolution wind forcings rely on downscaled outputs of numerical weather ...