A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets
Work
Year: 2021
Type: article
Source: Journal of Computational Physics
Institutions Massachusetts Institute of Technology, AIR Worldwide (United States), Otto-von-Guericke University Magdeburg, Utrecht University
Cites: 55
Cited by: 6
Related to: 10
FWCI: 0.513
Citation percentile (by year/subfield): 54.97
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Sustainable Development Goal Climate action
Open Access status: green