Abstract

Abstract. This paper presents the model SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes), which is a vertical (1-D) integrated radiative transfer and energy balance model. The model links visible to thermal infrared radiance spectra (0.4 to 50 μm) as observed above the canopy to the fluxes of water, heat and carbon dioxide, as a function of vegetation structure, and the vertical profiles of temperature. Output of the model is the spectrum of outgoing radiation in the viewing direction and the turbulent heat fluxes, photosynthesis and chlorophyll fluorescence. A special routine is dedicated to the calculation of photosynthesis rate and chlorophyll fluorescence at the leaf level as a function of net radiation and leaf temperature. The fluorescence contributions from individual leaves are integrated over the canopy layer to calculate top-of-canopy fluorescence. The calculation of radiative transfer and the energy balance is fully integrated, allowing for feedback between leaf temperatures, leaf chlorophyll fluorescence and radiative fluxes. Leaf temperatures are calculated on the basis of energy balance closure. Model simulations were evaluated against observations reported in the literature and against data collected during field campaigns. These evaluations showed that SCOPE is able to reproduce realistic radiance spectra, directional radiance and energy balance fluxes. The model may be applied for the design of algorithms for the retrieval of evapotranspiration from optical and thermal earth observation data, for validation of existing methods to monitor vegetation functioning, to help interpret canopy fluorescence measurements, and to study the relationships between synoptic observations with diurnally integrated quantities. The model has been implemented in Matlab and has a modular design, thus allowing for great flexibility and scalability.

Highlights

  • Knowledge of physical processes at the land surface is relevant for a wide range of applications including weather and climate prediction, agriculture, and ecological and hydrological studies

  • Remote sensing (RS) data have been used as input for spatial soil-vegetation-atmosphere-transfer (SVAT) models for estimation of the surface energy balance (Kustas et al, 1994; Su, 2002; Anderson et al, 2008)

  • This paper presents a new model; SCOPE (Soil Canopy Observation of Photochemistry and Energy fluxes), which is a vertical (1-D) integrated radiative transfer and energy balance model

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Summary

Introduction

Knowledge of physical processes at the land surface is relevant for a wide range of applications including weather and climate prediction, agriculture, and ecological and hydrological studies. In order to make effective use of the available RS data, coherent models are needed for the interpretation of observed radiance spectra with respect to physical processes on the ground These models should incorporate fluxes of water, carbon and energy at the land surface, as well as radiative transfer. This paper presents a new model; SCOPE (Soil Canopy Observation of Photochemistry and Energy fluxes), which is a vertical (1-D) integrated radiative transfer and energy balance model It calculates the spectral radiation regime and the energy balance of a vegetated surface at the level of single leaves as well as at canopy level, and the spectrum of the outgoing radiation in the viewing direction at a high spectral resolution over the range from 0.4 to 50 μm, including the visible, near and shortwave infrared, as well as the thermal domain. A full validation of the model against field experiments will be presented in a following paper

Model structure
Atmospheric optical inputs
Direct and diffuse radiation fluxes
Internally generated thermal radiation
Net radiation
The energy balance
Leaf biochemistry
Top-of-canopy radiance spectra
Contributions from scattering and thermal emission
Contribution from leaf fluorescence
Testing of surface energy balance models
Interpolation between satellite overpasses
The use of chlorophyll fluorescence
Conclusions
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