"A non-intrusive machine learning framework for debiasing long-time coarse ..."

Benedikt Barthel Sorensen et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2402.18484

access: open

type: Informal or Other Publication

metadata version: 2024-03-25

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-18484
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-18484
Benedikt Barthel Sorensen, Alexis-Tzianni Charalampopoulos, Shixuan Zhang, Bryce Harrop, Ruby Leung, Themistoklis P. Sapsis:
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics. CoRR abs/2402.18484 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.