Team : MEA

Project manager :  SAUDREAU Marc

Project link : https://anr.fr/Projet-ANR-17-CE22-0012

Context

Among the strategies for adapting cities to climate change, the reintroduction of trees in cities is an interesting solution because trees, through their transpiration and shade, have a significant impact on the energy balance of the urban atmosphere. The overall objective of the COOLTREES project is to evaluate and model the evapotranspiration of urban trees as a function of their environment, structure, and physiological response.

Presentation

The first general objective of COOLTREES is to assess and model the evapotranspiration of urban trees in relation to their environment, and to link their role in the urban climate to their structural and functional characteristics via modeling by taking into account three different scales: the canyon scale and the city scale. Based on the ongoing experiments in the city of Strasbourg (France), the specific objectives of the COOLTREES project are:<br />i. Quantify the evapotranspiration (latent heat flux) of grass and trees and the shading of silver lime trees (Tilia tomentosa Moench.), in relation to their structure (gap fraction, leaf area index, leaf density), their physiology (stomatal conductance in response to climate, leaf nitrogen), water availability and climate,<br />ii. Integrate the shading and evapotranspiration processes of trees into a 3D energy balance model of urban canyons following the formalism of a validated ecophysiological tree model, and validate this integration at the canyon level by comparing the simulated latent heat flux with field data.<br />iii. Carry out a comparison between the latent heat flux provided by the SURFEX scheme coupled with the mesoscale model Meso-NH and LASER / F. This comparison will be carried out on several districts of Strasbourg. This part also aims to propose a methodology to couple LASER / F to Meso-NH and thus improve the estimation of the latent heat flux released by trees.<br />From a more methodological point of view, this project aims to assess the variability of urban tree species and in particular their structure by providing a fast, efficient and robust method for estimating the parameters of the urban structure (geometry, topology, LAI, LAD). laser scanner acquisition (LiDAR)

Partners

ICube Laboratoire des sciences de l'Ingénieur, de l'Informatique et de l'Imagerie
DEPN/SEVN Direction Mobilité, espaces publics et naturels Service espaces verts et de nature

Funding source

Agence Nationale de la Recherche (ANR)

Projet ANR-17-CE22-0012-01