ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.16708
  4. Cited By
Statistical treatment of convolutional neural network super-resolution
  of inland surface wind for subgrid-scale variability quantification
v1v2v3 (latest)

Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification

Artificial Intelligence for the Earth Systems (AIES), 2022
30 November 2022
Daniel J. Getter
J. Bessac
J. Rudi
Yan Feng
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification"

1 / 1 papers shown
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
Harrison J. Goldwyn
Mitchell Krock
J. Rudi
Daniel J. Getter
J. Bessac
UQCV
150
1
0
21 Aug 2025
1
Page 1 of 1