algorithm
; atmospheric general circulation model
; data set
; Gaussian method
; numerical model
; optimization
; paleoclimate
; proxy climate record
; reconstruction
; teleconnection
英文摘要:
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.
Wang J.,Emile-Geay J.,Guillot D.,et al. Evaluating climate field reconstruction techniques using improved emulations of real-world conditions[J]. Climate of the Past,2014-01-01,10(1)