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SCOPE 2.0: a model to simulate vegetated land surface fluxes and satellite signals

Authors :
Christiaan van der Tol
Wout Verhoef
Peiqi Yang
E. Prikaziuk
UT-I-ITC-WCC
Faculty of Geo-Information Science and Earth Observation
Department of Water Resources
Source :
Geoscientific Model Development, 14(7), 4697-4712. Copernicus, Geoscientific Model Development, Vol 14, Pp 4697-4712 (2021)
Publication Year :
2021
Publisher :
Copernicus GmbH, 2021.

Abstract

The Soil Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) model aims at linking satellite observations in the visible, infrared, and thermal domains with land surface processes in a physically based manner, and quantifying the microclimate in vegetation canopies. It simulates radiative transfer in the soil, leaves, and vegetation canopies, as well as photosynthesis and non-radiative heat dissipation through convection and mechanical turbulence. Since the first publication 12 years ago, SCOPE has been applied in remote sensing studies of solar-induced chlorophyll fluorescence (SIF), energy balance fluxes, gross primary production (GPP), and directional thermal signals. Here, we present a thoroughly revised version, SCOPE 2.0, which features a number of new elements: (1) it enables the definition of layers consisting of leaves with different properties, thus enabling the simulation of vegetation with an understorey or with a vertical gradient in leaf chlorophyll concentration; (2) it enables the simulation of soil reflectance; (3) it includes the simulation of leaf and canopy reflectance changes induced by the xanthophyll cycle; and (4) the computation speed has been reduced by 90 % compared to earlier versions due to a fundamental optimization of the model. These new features improve the capability of the model to represent complex canopies and to explore the response of remote sensing signals to vegetation physiology. The improvements in computational efficiency make it possible to use SCOPE 2.0 routinely for the simulation of satellite data and land surface fluxes. It also strengthens the operability for the numerical retrieval of land surface products from satellite or airborne data.

Details

ISSN :
19919603 and 1991959X
Volume :
14
Database :
OpenAIRE
Journal :
Geoscientific Model Development
Accession number :
edsair.doi.dedup.....41899bc6204ca3b51dcd4ea6a63bea25
Full Text :
https://doi.org/10.5194/gmd-14-4697-2021