4.7 Article

Using scaling for macroweather forecasting including the pause

Journal

GEOPHYSICAL RESEARCH LETTERS
Volume 42, Issue 17, Pages 7148-7155

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015GL065665

Keywords

-

Ask authors/readers for more resources

The ScaLIng Macroweather model (SLIMM) is a new class of stochastic atmospheric model. It exploits the large system memory to overcome the biases of conventional numerical climate models, it makes hindcasts and forecasts over macroweather forecast horizons (approximate to 10 days to decades). Using the simplest (scalar), SLIMM model with only two parameters, we present various twentieth century hindcasts including several of the slowdown (pause) in the warming since 1998. The 1999-2013 hindcast is accurate to within +/- 0.11 K, with all the 2002-2013 anomalies hindcast to within +/- 0.02 K. In comparison, the Climate Model Intercomparison Project Phase 3 hindcasts were on average about 0.2 K too warm.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available