Assimilating ESA CCI land surface temperature  into the ORCHIDEE land surface model: insights  from a multi-site study across Europe

Olivera-Guerra, Luis-Enrique; Ottlé, Catherine; Raoult, Nina; Peylin, Philippe

doi:https://doi.org/10.5194/hess-29-261-2025

Articles | Volume 29, issue 1

https://doi.org/10.5194/hess-29-261-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-29-261-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 29, issue 1

Research article

|

15 Jan 2025

Research article |

| 15 Jan 2025

Assimilating ESA CCI land surface temperature into the ORCHIDEE land surface model: insights from a multi-site study across Europe

Luis-Enrique Olivera-Guerra, Catherine Ottlé, Nina Raoult, and Philippe Peylin

Supplement

https://doi.org/10.5194/hess-29-261-2025-supplement

Data sets

Multisensor Infra-Red (IR) Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) land surface temperature (LST) level 3 supercollated (L3S) global product (2009-2020), version 1.00 K. Veal et al. https://catalogue.ceda.ac.uk/uuid/6775e27575124407afeebb4bb1dfaaf5

Warm Winter 2020 ecosystem eddy covariance flux product for 73 stations in FLUXNET-Archive format-release 2022-1 (version 1.0) Warm Winter 2020 Team and ICOS Ecosystem Thematic Centre https://www.icos-cp.eu/data-products/2G60-ZHAK

Short summary

We assimilate the recent ESA-CCI land surface temperature (LST) product to optimize parameters of a land surface model (ORCHIDEE). We test different assimilation strategies to evaluate the best strategy over various in situ stations across Europe. We also provide advice on how to assimilate this LST product to better simulate LST and surface energy fluxes. Finally, we demonstrate the effectiveness of this optimization, which is essential to better simulate future projections.