@article{fdi:010096085,
  title = {{R}econstruction of last millennium sea surface temperature on 1° grid using a random forest algorithm},
  author = {{M}ichel, {S}. {L}. {L}. and {S}wingedouw, {D}. and {M}ignot, {J}uliette},
  editor = {},
  language = {{ENG}},
  abstract = {{C}limate models and theoretical evidence show that the ocean drives climate from sub-decadal to centennial timescales through a variety of processes and their interactions. {T}he 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. {I}n 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. {I}n line with modeling and paleodata studies, our reconstruction suggests that natural climate forcings have importantly influenced the last millennium climate variability. {O}ur reconstruction also suggests that {N}orth {A}tlantic {SST} multidecadal variability influences {P}acific {SST} on decadal timescales. {H}owever, the latter result is shown to be strongly dependent on background climate conditions. {T}his new reconstruction offers a useful resource for testing the capabilities of climate models to reproduce the linkages between {A}tlantic and {P}acific as well as the response to external forcings.},
  keywords = {{S}ea surface temperatures ; {L}ast millennium climate ; {R}andom forest ; {V}olcanic eruptions ; {A}tlantic-{P}acific interactions ; {MONDE} ; {ATLANTIQUE} ; {PACIFIQUE}},
  booktitle = {},
  journal = {{G}lobal and {P}lanetary {C}hange},
  volume = {258},
  numero = {},
  pages = {105279 [18 p.]},
  ISSN = {0921-8181},
  year = {2026},
  DOI = {10.1016/j.gloplacha.2025.105279},
  URL = {https://www.documentation.ird.fr/hor/fdi:010096085},
}