Data-driven modeling of surface temperature anomaly and solar activity trends

Authors:
Michael J. Friedel
Affiliations:
Crustal Geophysics and Geochemistry Science Center, United States Geological Survey, University of Colorado, Denver Federal Center, Box 25046, MS 964, Lakewood, CO 80225, USA and Center for Comput ...
Venue:
Environmental Modelling & Software
Year:
2012

Citing 6
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Abstract

A novel two-step modeling scheme is used to reconstruct and analyze surface temperature and solar activity data at global, hemispheric, and regional scales. First, the self-organizing map (SOM) technique is used to extend annual modern climate data from the century to millennial scale. The SOM component planes are used to identify and quantify strength of nonlinear relations among modern surface temperature anomalies (