Energy budget and radiative transfer modelling in the soil, vegetation, atmosphere continuum

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Abstract

Radiative transfer modelling is often used to retrieve optical properties of the soil, vegetation, water and air from satellite data. The aim of the model 'Soil-Canopy-Observation of Photosynthesis and Energy fluxes' (SCOPE) is to further simulate the micro-climate in the vegetation, and the fluxes of energy and matter (carbon and water). We demonstrate, with examples of the latest version SCOPE2.0, how vegetation structure affects within-canopy heterogeneity of micro-climate and foliage temperatures.
SCOPE links satellite observations in the visible, infrared and thermal domains with land surface processes in a physically based manner. 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 11 years ago, SCOPE has been applied in remote sensing studies of solar-induced chlorophyll fluorescence (SIF), energy balance fluxes, gross primary productivity (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 understory 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 the 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 interoperability for the numerical retrieval of land surface products from satellite or airborne data.
Original languageEnglish
Number of pages1
Publication statusPublished - Dec 2020
EventAGU Fall Meeting 2020 - Online Event
Duration: 1 Dec 202017 Dec 2020
https://www.agu.org/fall-meeting

Conference

ConferenceAGU Fall Meeting 2020
Period1/12/2017/12/20
Internet address

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