ML4WX

Downscaling & super-resolution

A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets

Zhong Yi Wan, Boyko Dodov, Christian Lessig, Henk A. Dijkstra, Themistoklis P. Sapsis

Journal of Computational Physics · · Massachusetts Institute of Technology (MIT)

PaperPDF

In one sentence. A data-driven stochastic framework reconstructs small-scale features in climate data sets; no abstract was provided, so impact is hard to assess.

Labels

Topic
Downscaling & super-resolution
Type
New model or method
Method
Other
Domain
Global
Data
CMIP / climate model output
Status
Research
Identifiers
DOI:10.1016/j.jcp.2021.110484 OpenAlex:W3167344324
Added
2026-10-22

Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.