scholarly journals Performance of climate field reconstruction methods over multiple seasons and climate variables

2013 ◽  
Vol 118 (17) ◽  
pp. 9595-9610 ◽  
Author(s):  
Matthew P. Dannenberg ◽  
Erika K. Wise
Keyword(s):  
Climate Variables ◽  
Field Reconstruction ◽  
Reconstruction Methods ◽  
Climate Field Reconstruction

scholarly journals Evaluating climate field reconstruction techniques using improved emulations of real-world conditions

2014 ◽  
Vol 10 (1) ◽  
pp. 1-19 ◽  
Author(s):  
J. Wang ◽  
J. Emile-Geay ◽  
D. Guillot ◽  
J. E. Smerdon ◽  
B. Rajaratnam
Keyword(s):  
Graphical Models ◽  
Real World ◽  
General Circulation ◽  
Circulation Model ◽  
Internal Variability ◽  
Field Reconstruction ◽  
Spatial Skill ◽  
Reconstruction Methods ◽  
Climate Field Reconstruction ◽  
Global Mean

Abstract. Pseudoproxy experiments (PPEs) have become an important framework for evaluating paleoclimate reconstruction methods. Most existing PPE studies assume constant proxy availability through time and uniform proxy quality across the pseudoproxy network. Real multiproxy networks are, however, marked by pronounced disparities in proxy quality, and a steep decline in proxy availability back in time, either of which may have large effects on reconstruction skill. A suite of PPEs constructed from a millennium-length general circulation model (GCM) simulation is thus designed to mimic these various real-world characteristics. The new pseudoproxy network is used to evaluate four climate field reconstruction (CFR) techniques: truncated total least squares embedded within the regularized EM (expectation-maximization) algorithm (RegEM-TTLS), the Mann et al. (2009) implementation of RegEM-TTLS (M09), canonical correlation analysis (CCA), and Gaussian graphical models embedded within RegEM (GraphEM). Each method's risk properties are also assessed via a 100-member noise ensemble. Contrary to expectation, it is found that reconstruction skill does not vary monotonically with proxy availability, but also is a function of the type and amplitude of climate variability (forced events vs. internal variability). The use of realistic spatiotemporal pseudoproxy characteristics also exposes large inter-method differences. Despite the comparable fidelity in reconstructing the global mean temperature, spatial skill varies considerably between CFR techniques. Both GraphEM and CCA efficiently exploit teleconnections, and produce consistent reconstructions across the ensemble. RegEM-TTLS and M09 appear advantageous for reconstructions on highly noisy data, but are subject to larger stochastic variations across different realizations of pseudoproxy noise. Results collectively highlight the importance of designing realistic pseudoproxy networks and implementing multiple noise realizations of PPEs. The results also underscore the difficulty in finding the proper bias-variance tradeoff for jointly optimizing the spatial skill of CFRs and the fidelity of the global mean reconstructions.

scholarly journals Robustness of proxy-based climate field reconstruction methods

2007 ◽  
Vol 112 (D12) ◽  
Author(s):  
Michael E. Mann ◽  
Scott Rutherford ◽  
Eugene Wahl ◽  
Caspar Ammann
Keyword(s):  
Field Reconstruction ◽  
Reconstruction Methods ◽  
Climate Field Reconstruction

scholarly journals Evaluating climate field reconstruction techniques using improved emulations of real-world conditions

2013 ◽  
Vol 9 (3) ◽  
pp. 3015-3060 ◽  
Author(s):  
J. Wang ◽  
J. Emile-Geay ◽  
D. Guillot ◽  
J. E. Smerdon ◽  
B. Rajaratnam
Keyword(s):  
Real World ◽  
General Circulation ◽  
Model Simulation ◽  
Circulation Model ◽  
Least Square ◽  
Field Reconstruction ◽  
Spatial Skill ◽  
Reconstruction Methods ◽  
Climate Field Reconstruction ◽  
Global Mean

Abstract. Pseudoproxy experiments (PPEs) have become an essential framework for evaluating paleoclimate reconstruction methods. Most existing PPE studies assume constant proxy availability through time and uniform proxy quality across the pseudoproxy network. Real multi-proxy networks are, however, marked by pronounced disparities in proxy quality, and a steep decline in proxy availability back in time, either of which may have large effects on reconstruction skill. Additionally, an investigation of a real-world global multi-proxy network suggests that proxies are not exclusively indicators of local climate; rather, many are indicative of large-scale teleconnections. A suite of PPEs constructed from a millennium-length general circulation model simulation is thus designed to mimic these various real-world characteristics. The new pseudoproxy network is used to evaluate four climate field reconstruction (CFR) techniques: truncated total least square embedded within the regularized EM algorithm (RegEM-TTLS), the Mann et al. (2009) implementation of RegEM-TTLS (M09), canonical correlation analysis (CCA), and Gaussian graphical models embedded within RegEM (GraphEM). Each method's risk properties are also assessed via a 100-member noise ensemble. Contrary to expectation, it is found that reconstruction skill does not vary monotonically with proxy availability, but rather is a function of the type of climate variability (forced events vs. internal variability). The use of realistic spatiotemporal pseudoproxy characteristics also exposes large inter-method differences. Despite the comparable fidelity in reconstructing the global mean temperature, spatial skill varies considerably between CFR techniques. Both GraphEM and CCA efficiently exploit teleconnections, and produce consistent reconstructions across the ensemble. RegEM-TTLS and M09 appear advantageous for reconstructions on highly noisy data, but are subject to larger stochastic variations across different realizations of pseudoproxy noise. Results collectively highlight the importance of designing realistic pseudoproxy networks and implementing multiple noise realizations of PPEs. The results also underscore the difficulty in finding the proper bias-variance tradeoff for jointly optimizing the spatial skill of CFRs and the fidelity of the global mean reconstructions.

scholarly journals Spatial performance of four climate field reconstruction methods targeting the Common Era

2011 ◽  
Vol 38 (11) ◽  
pp. n/a-n/a ◽  
Author(s):  
J. E. Smerdon ◽  
A. Kaplan ◽  
E. Zorita ◽  
J. F. González-Rouco ◽  
M. N. Evans
Keyword(s):  
Field Reconstruction ◽  
Reconstruction Methods ◽  
Spatial Performance ◽  
The Common ◽  
Climate Field Reconstruction ◽  
Common Era
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