EGU26-18416, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-18416
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Monday, 04 May, 17:05–17:15 (CEST)
 
Room 0.49/50
A New Dataset of Global Climate and Hydroclimate Reconstructions over the Common Era
Jingya Cheng1,2, Alexandre Cauquoin1,2, Atsushi Okazaki3, Olivia Truax4, Ashish Sinha5, Hanying Li6, Shixue Li7, and Kei Yoshimura1,2
Jingya Cheng et al.
  • 1The University of Tokyo, Japan (jingya@iis.u-tokyo.ac.jp)
  • 2Graduate School of Frontier Sciences, The University of Tokyo, Japan
  • 3Institute for Advanced Academic Research, Chiba University, Japan
  • 4School of Earth and Environment, University of Canterbury, New Zealand
  • 5Department of Earth Science, California State University, Dominguez Hills, USA
  • 6Institute of Global Environmental Change, Xi’an Jiaotong University, China
  • 7School of Earth, Atmosphere and Environment, Monash University, Australia

Climate variability over the last two millennia (Past2k) reflects the combined influence of internal climate dynamics, including modes such as ENSO, external forcings such as volcanic and solar activity, and, in recent centuries, increasing anthropogenic forcing. Studying the Past2k period provides critical context for understanding current and future climate change in a warming world. In the pre-instrumental era, the absence of direct climate observations necessitated reliance on climate models and paleoclimate archives to infer past climate conditions.

Paleoclimate data assimilation (PDA) is an effective approach to integrate the information from both climate models and natural proxies. Here, we employ an offline PDA framework to generate a new spatiotemporally resolved global reconstruction of the Past2k at annual and seasonal (summer and winter) resolution, including key climate fields (e.g., temperature, pressure, precipitation), drought indices (scPDSI, SPEI), and climate indices (e.g., ENSO, PDO, AO).Proxy observations are compiled from the Iso2k, PAGES2k, CoralHydro2k, and SISALv3 databases, together with additional tree-ring width datasets. The model priors are derived from isotope-enabled Earth system model simulations using MPI-ESM-wiso and iCESM.

Relative to previous global reconstructions, this assimilation framework advances PDA by explicitly assimilating isotopic proxy records, employing physically based proxy system models, accounting for proxy seasonality and climate sensitivity, and incorporating low-resolution records across multiple timescales. We conducted comprehensive evaluations of the reconstructed fields and indices against instrumental/reanalysis datasets, as well as existing global PDA-based reconstructions, and also assessed the reconstruction skill in earlier centuries. These evaluations show that our reconstructions perform well and yield reliable results. We expect that our datasets will provide a millennial-scale climate context to support further studies of past climate variability and to inform analyses of ongoing and future climate change.

How to cite: Cheng, J., Cauquoin, A., Okazaki, A., Truax, O., Sinha, A., Li, H., Li, S., and Yoshimura, K.: A New Dataset of Global Climate and Hydroclimate Reconstructions over the Common Era, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18416, https://doi.org/10.5194/egusphere-egu26-18416, 2026.