EconPapers    
Economics at your fingertips  
 

Polar Amplification Helps Forecast Northern Temperature Anomalies

William Brock and J. Miller

No 2502, Working Papers from Department of Economics, University of Missouri

Abstract: Nearly one half of the positive feedback mechanisms that are identified in the literature as potential tipping elements in the climate system and are of serious concern within the next century are located in the northern part of the Northern Hemisphere. Improving forecasts of northern temperatures is therefore critical to improving our understanding and perhaps early detection of tipping points. We propose forecasting northern temperatures using a structural geophysical model of polar amplification, which is defined as the acceleration of warming in regions closer to the poles and the North Pole in particular, that uses anthropogenic forcing and southern temperatures as covariates. We show using pseudo-out-of-sample forecasts over a range of time periods that this geophysical model improves medium-run forecasts over otherwise similar benchmark forecasting models. Using this model, we forecast temperature anomalies in the northern part of the Northern Hemisphere to increase from 1.861C (over the 1961-1990 baseline) in 2023 to 2.214C with a 95% forecast interval of (1.399,3.147) C by 2035.

Keywords: climate change; polar amplification; moist energy balance model; statistical forecasting (search for similar items in EconPapers)
JEL-codes: C32 C33 C53 Q54 (search for similar items in EconPapers)
Date: 2025-02
New Economics Papers: this item is included in nep-env and nep-for
References: Add references at CitEc
Citations:

Downloads: (external link)
https://drive.google.com/file/d/1hpQQbDBH25C9eFyJr ... vN4/view?usp=sharing (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:umc:wpaper:2502

Access Statistics for this paper

More papers in Working Papers from Department of Economics, University of Missouri Contact information at EDIRC.
Bibliographic data for series maintained by Chao Gu ().

 
Page updated 2025-03-23
Handle: RePEc:umc:wpaper:2502