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Algorithmic Hallucinations of Near-Surface Winds: Statistical
  Downscaling with Generative Adversarial Networks to Convection-Permitting
  Scales

Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales

17 February 2023
Nicolaas J. Annau
Alex J. Cannon
A. Monahan
ArXivPDFHTML

Papers citing "Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales"

3 / 3 papers shown
Title
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
Xiao Wang
Jong Youl Choi
Takuya Kurihaya
Isaac Lyngaas
Hong-Jun Yoon
...
Dali Wang
Peter Thornton
Prasanna Balaprakash
M. Ashfaq
Dan Lu
28
0
0
07 May 2025
Capturing Climatic Variability: Using Deep Learning for Stochastic
  Downscaling
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Kiri Daust
Adam Monahan
64
2
0
31 May 2024
Statistical treatment of convolutional neural network super-resolution
  of inland surface wind for subgrid-scale variability quantification
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
Daniel J. Getter
J. Bessac
J. Rudi
Yan Feng
27
0
0
30 Nov 2022
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