Abstract
Abstract. Past climate variations may be uncovered via reconstruction methods that use proxy data as predictors. Among them, borehole reconstruction is a well-established technique to recover the long-term past surface air temperature (SAT) evolution. It is based on the assumption that SAT changes are strongly coupled to ground surface temperature (GST) changes and transferred to the subsurface by thermal conduction. We evaluate the SAT–GST coupling during the last millennium (LM) using simulations from the Community Earth System Model LM Ensemble (CESM-LME). The validity of such a premise is explored by analyzing the structure of the SAT–GST covariance during the LM and also by investigating the evolution of the long-term SAT–GST relationship. The multiple and single-forcing simulations in the CESM-LME are used to analyze the SAT–GST relationship within different regions and spatial scales and to derive the influence of the different forcing factors on producing feedback mechanisms that alter the energy balance at the surface. The results indicate that SAT–GST coupling is strong at global and above multi-decadal timescales in CESM-LME, although a relatively small variation in the long-term SAT–GST relationship is also represented. However, at a global scale such variation does not significantly impact the SAT–GST coupling, at local to regional scales this relationship experiences considerable long-term changes mostly after the end of the 19th century. Land use land cover changes are the main driver for locally and regionally decoupling SAT and GST, as they modify the land surface properties such as albedo, surface roughness and hydrology, which in turn modifies the energy fluxes at the surface. Snow cover feedbacks due to the influence of other external forcing are also important for corrupting the long-term SAT–GST coupling. Our findings suggest that such local and regional SAT–GST decoupling processes may represent a source of bias for SAT reconstructions from borehole measurement, since the thermal signature imprinted in the subsurface over the affected regions is not fully representative of the long-term SAT variations.
Highlights
Improving our knowledge of the last millennium (LM) climate variability is key for a better understanding of the mechanisms that determine the Earth system response to natural and anthropogenic external forcings (Masson-Delmotte et al, 2013)
CESM-LME supports the assumption that surface air temperature (SAT) is tightly coupled with ground surface temperature (GST) at global scales and longer than multidecadal scales
Subsurface temperature anomalies closely track SAT anomalies with relative small differences between them; this indicates that air and soil temperature are coupled above multi-decadal timescales
Summary
Improving our knowledge of the last millennium (LM) climate variability is key for a better understanding of the mechanisms that determine the Earth system response to natural (solar, volcanic and orbital) and anthropogenic (land use and atmospheric composition changes) external forcings (Masson-Delmotte et al, 2013). Instrumental records represent the most adequate alternative to study past climate variations. They only provide coverage since the mid19th century (e.g., Hansen et al, 2010; Jones et al, 2012). To understand the nature of climate variability operating on longer temporal scales, LM reconstructions from a variety of proxy data (e.g., tree-rings, corals, preserved pollen, ice cores, etc.; Jones et al, 2009) and simulations using general climate models (GCMs) are generally employed.
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