Michel S. L. L., Swingedouw D., Mignot Juliette. (2026). Reconstruction of last millennium sea surface temperature on 1° grid using a random forest algorithm. Global and Planetary Change, 258, p. 105279 [18 p.]. ISSN 0921-8181.
Titre du document
Reconstruction of last millennium sea surface temperature on 1° grid using a random forest algorithm
Global and Planetary Change, 2026,
258, p. 105279 [18 p.] ISSN 0921-8181
Climate models and theoretical evidence show that the ocean drives climate from sub-decadal to centennial timescales through a variety of processes and their interactions. The range of direct climate observations, arelhowever, is too short to understand the exact role of the ocean in shaping observed and future climate variability on top of anthropogenic climate change. In the present study, we use a large set of paleoclimate records combined with a random forest algorithm to reconstruct a gridded dataset of sea surface temperatures since 850 C.E. to provide a better framework for the study of ocean surface variability. In line with modeling and paleodata studies, our reconstruction suggests that natural climate forcings have importantly influenced the last millennium climate variability. Our reconstruction also suggests that North Atlantic SST multidecadal variability influences Pacific SST on decadal timescales. However, the latter result is shown to be strongly dependent on background climate conditions. This new reconstruction offers a useful resource for testing the capabilities of climate models to reproduce the linkages between Atlantic and Pacific as well as the response to external forcings.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Sciences du milieu [021]
