EconPapers    
Economics at your fingertips  
 

Local Climate Sensitivity: A Statistical Approach for a Spatially Heterogeneous Planet

J. Miller ()

No 1702, Working Papers from Department of Economics, University of Missouri

Abstract: Climate sensitivity relates total radiative forcing from anthropogenic and other sources to global mean temperature, and it depends on both changes in net heat transports and changes in the spatial distribution of temperature anomalies. An energy balance model, an easily implemented statistical methodology, and a supplementary inferential procedure are proposed to estimate local climate sensitivity using the historical record and to assess the contribution to overall climate sensitivity. Results are roughly comparable with extant findings from simulations using more complicated models. In particular, areas over ocean tend to import energy, they are relatively more sensitive to forcings, but they warm more slowly than those over land. Increases in the variation of predicted local temperature anomalies are estimated to be proportional to increases in forcings, and economic implications are discussed.

Keywords: local climate sensitivity; energy balance model; historical temperature anomaly distributions; partially linear semiparametric model (search for similar items in EconPapers)
JEL-codes: C14 C23 Q54 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr, nep-ene and nep-env
Date: 2017-01-31
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://economics.missouri.edu/sites/default/files/wp-files/locclimsens1.pdf (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:1702

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 Valerie Kulp ().

 
Page updated 2019-09-18
Handle: RePEc:umc:wpaper:1702