Evaluation of statistical climate reconstruction methods based on pseudoproxy experiments using linear and machine-learning methods

HIGHLIGHTS

SUMMARY

The reconstruction of past climates helps to better understand past climate variability and pose the projected future climate evolution against the backdrop of natural climate variability (Mann and Jones, 2003; Jones and Mann, 2004; Jones et_al, 2009; Frank et_al, 2010; Schmidt, 2010; Christiansen and Ljungqvist, 2012, 2017; Evans et_al, 2014; Smerdon and Pollack, 2016). Paleoclimate reconstructions also provide the authors with a deeper perspective to better understand the effect of external forcing on climate (Hegerl et_al, 2006, 2007; Schurer et_al, 2013, 2014; Anchukaitis et_al, 2012, 2017; Tejedor et_al, 2021a, b). Z. Zhang et_al: Evaluation . . .

 



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