Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 6, issue 2
Articles | Volume 6, issue 2
https://doi.org/10.5194/esd-6-637-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-6-637-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 6, issue 2
Research article
 | 
29 Sep 2015
Research article |  | 29 Sep 2015

The ScaLIng Macroweather Model (SLIMM): using scaling to forecast global-scale macroweather from months to decades

S. Lovejoy, L. del Rio Amador, and R. Hébert

Viewed

Total article views: 2,856 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,641 1,075 140 2,856 177 179
  • HTML: 1,641
  • PDF: 1,075
  • XML: 140
  • Total: 2,856
  • BibTeX: 177
  • EndNote: 179
Views and downloads (calculated since 17 Mar 2015)
Cumulative views and downloads (calculated since 17 Mar 2015)
Latest update: 17 Nov 2025
Download
Short summary
Numerical climate models forecast the weather well beyond the deterministic limit. In this “macroweather” regime, they are random number generators. Stochastic models can have more realistic noises and can be forced to converge to the real-world climate. Existing stochastic models do not exploit the very long atmospheric and oceanic memories. With skill up to decades, our new ScaLIng Macroweather Model (SLIMM) exploits this to make forecasts more accurate than GCMs.
Read more
Share
Altmetrics
Final-revised paper
Preprint