Land Processes Can Substantially Impact the Mean Climate State

Claire M. Zarakas, Daniel Kennedy, Katherine Dagon, David M. Lawrence, Amy Liu, Gordon Bonan, Charles Koven, Danica Lombardozzi, Abigail L.S. Swann

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Terrestrial processes influence the atmosphere by controlling land-to-atmosphere fluxes of energy, water, and carbon. Prior research has demonstrated that parameter uncertainty drives uncertainty in land surface fluxes. However, the influence of land process uncertainty on the climate system remains underexplored. Here, we quantify how assumptions about land processes impact climate using a perturbed parameter ensemble for 18 land parameters in the Community Earth System Model version 2 under preindustrial conditions. We find that an observationally-informed range of land parameters generate biogeophysical feedbacks that significantly influence the mean climate state, largely by modifying evapotranspiration. Global mean land surface temperature ranges by 2.2°C across our ensemble (σ = 0.5°C) and precipitation changes were significant and spatially variable. Our analysis demonstrates that the impacts of land parameter uncertainty on surface fluxes propagate to the entire Earth system, and provides insights into where and how land process uncertainty influences climate.

Original languageEnglish
Article numbere2024GL108372
JournalGeophysical Research Letters
Volume51
Issue number21
DOIs
StatePublished - Nov 16 2024
Externally publishedYes

Keywords

  • Earth system models
  • evapotranspiration
  • land models
  • land-atmosphere interactions
  • parameter uncertainty
  • perturbed parameter ensemble

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