Radiosity Approach for the Shortwave Surface Radiation Balance in Complex Terrain

The influence of topography on the radiation balance in complex terrain has so far been investigated either with very simple or very sophisticated approaches that are limited, respectively, by an uncontrolled spatial representation of radiative fluxes or heavy computational efforts. To bridge this gap in complexity, this paper proposes the radiosity approach, well known in computer graphics, to study anisotropic reflections of radiation in complex terrain. To this end the radiosity equation is rederived in the context of three-dimensional radiative transfer. The discretized equation is solved by means of an adapted version of progressive refinement iteration. To systematically study terrain effects, the geometrical disorder provided by the topography is considered in its simplest approximation by Gaussian random fields. These model topographies capture the most important length scales of complex terrain, namely a typical elevation and a typical valley width via the variance and the correlation length of the field, respectively. The mean reflected radiation is computed as a function of these length scales and sun elevation, thereby explicitly addressing finite system sizes and grid resolutions. A comparison with an isotropic parameterization of terrain reflections reveals that mean values are similar whereas spatial distributions vary remarkably. It is also shown that the mean reflected radiation in real topography is reasonably well characterized by the Gaussian approximation. As a final application of the method, the effective albedo of a topography is shown to vary with sun elevation and domain-averaged albedo, leading to albedo differences up to 0.025.

[1]  J. Oerlemans,et al.  Temporal and spatial variation of the surface albedo of Morteratschgletscher, Switzerland, as derived from 12 Landsat images , 2003, Journal of Glaciology.

[2]  G. Olyphant,et al.  Distributed energy-balance modeling of snow-cover evolution and melt in rugged terrain: Tobacco Root Mountains, Montana, USA , 2007 .

[3]  Ed F. Deprettere,et al.  A VLSI system architecture for high-speed radiative transfer 3D image synthesis , 1989, The Visual Computer.

[4]  G. Maffeis,et al.  Algorithms to Account for Topographic Shading Effects and Surface Temperature Dependence on Terrain Elevation in Diagnostic Meteorological Models , 2005 .

[5]  Donald P. Greenberg,et al.  A progressive refinement approach to fast radiosity image generation , 1988, SIGGRAPH.

[6]  Donald P. Greenberg,et al.  Modeling the interaction of light between diffuse surfaces , 1984, SIGGRAPH.

[7]  Arve Kylling,et al.  Determination of an effective spectral surface albedo from ground-based global and direct UV irradiance measurements , 2000 .

[8]  C. Bohren,et al.  An introduction to atmospheric radiation , 1981 .

[9]  G. Dietler,et al.  Fractal aspects of the Swiss landscape , 1992 .

[10]  Michael F. Cohen,et al.  Radiosity and realistic image synthesis , 1993 .

[11]  Alex Hall,et al.  Application of three-dimensional solar radiative transfer to mountains , 2006 .

[12]  John Amanatides,et al.  A Fast Voxel Traversal Algorithm for Ray Tracing , 1987, Eurographics.

[13]  R. Adler,et al.  The Geometry of Random Fields , 1982 .

[14]  Arve Kylling,et al.  The effect of clouds and surface albedo on UV irradiances at a high latitude site , 2000 .

[15]  J. Orgill,et al.  Correlation equation for hourly diffuse radiation on a horizontal surface , 1976 .

[16]  Robert F. Cahalan,et al.  The I3RC - Bringing Together the Most Advanced Radiative Transfer Tools for Cloudy Atmospheres , 2005 .

[17]  S. Voigt,et al.  Effective albedo derived from UV measurements in the Swiss Alps , 2001 .

[18]  K. Evans The Spherical Harmonics Discrete Ordinate Method for Three-Dimensional Atmospheric Radiative Transfer , 1998 .

[19]  Philipp Slusallek,et al.  Radiosity and relaxation methods , 1994, IEEE Computer Graphics and Applications.

[20]  B. Mayer,et al.  Comment on “Measurements of erythemal irradiance near Davis Station, Antarctica: Effect of inhomogeneous surface albedo” , 2000 .

[21]  V. Demarez,et al.  Modeling radiative transfer in heterogeneous 3D vegetation canopies , 1995, Remote Sensing.

[22]  M. Iqbal An introduction to solar radiation , 1983 .

[23]  Bernhard Mayer I3RC phase 1 results from the MYSTIC Monte Carlo model , 2000 .

[24]  Jean-Philippe Gastellu-Etchegorry,et al.  DART: a 3D model for simulating satellite images and studying surface radiation budget , 2004 .

[25]  Wolfgang Straßer,et al.  Graphische Datenverarbeitung I. Gerätetechnik, Programmierung und Anwendung graphischer Systeme , 1996 .

[26]  Regine Hock,et al.  A distributed surface energy-balance model for complex topography and its application to Storglaciären, Sweden , 2005, Journal of Glaciology.

[27]  R. Adler The Geometry of Random Fields , 2009 .

[28]  M. Pinar Mengüç,et al.  Thermal Radiation Heat Transfer , 2020 .

[29]  Boris A. Kargin,et al.  The Monte Carlo Methods in Atmospheric Optics , 1980 .

[30]  W. Beckman,et al.  Diffuse fraction correlations , 1990 .

[31]  Krzysztof Fortuniak,et al.  Numerical estimation of the effective albedo of an urban canyon , 2008 .

[32]  N. Helbig,et al.  Application of the radiosity approach to the radiation balance in complex terrain , 2009 .

[33]  Benjamin Y. H. Liu,et al.  The interrelationship and characteristic distribution of direct, diffuse and total solar radiation , 1960 .

[34]  D. S. Munro,et al.  Sensitivity studies on the calculation of the radiation balance of urban surfaces: I. Shortwave radiation , 1989 .

[35]  Markus Schmidt,et al.  A Model to Estimate Global Radiation in Complex Terrain , 2006 .

[36]  Richard Essery,et al.  Scaling and parametrization of clear-sky solar radiation over complex topography , 2007 .

[37]  Greg A. Olyphant,et al.  Longwave Radiation in Mountainous Areas and Its Influence on the Energy Balance of Alpine Snowfields , 1986 .

[38]  E. Scott Krayenhoff,et al.  A microscale three-dimensional urban energy balance model for studying surface temperatures , 2007 .

[39]  Rachel Spronken-Smith,et al.  Spatial Variability of Surface Radiation Fluxes in Mountainous Terrain , 2003 .

[40]  M. Nunez,et al.  The Calculation of Solar and Net Radiation in Mountainous Terrain , 1980 .

[41]  Javier G. Corripio,et al.  Modelling the energy balance of high altitude glacierised basins in the Central Andes , 2003 .

[42]  D. S. Munro,et al.  Sensitivity studies on the calculation of the radiation balance of urban surfaces: II. Longwave radiation , 1989 .

[43]  M. Zappa,et al.  ALPINE3D: a detailed model of mountain surface processes and its application to snow hydrology , 2006 .

[44]  Alberto Malinverno,et al.  The length‐scaling properties of topography , 1994 .

[45]  A. Ohmura,et al.  A field study of the hemispherical directional reflectance factor and spectral albedo of dry snow , 2006 .

[46]  Ian D. Moore,et al.  Modelling environmental heterogeneity in forested landscapes , 1993 .

[47]  Dieter Scherer,et al.  A Grid- and Subgrid-Scale Radiation Parameterization of Topographic Effects for Mesoscale Weather Forecast Models , 2005 .

[48]  M. Blumthaler,et al.  Modeling the effect of an inhomogeneous surface albedo on incident UV radiation in mountainous terrain: Determination of an effective surface albedo , 2001 .

[49]  W. Mccluney Introduction to Radiometry and Photometry , 1994 .

[50]  José L. Encarnação,et al.  Graphische Datenverarbeitung II. Modellierung komplexer Objekte und photorealistische Bilderzeugung , 1997 .

[51]  M. Degünther,et al.  Case study on the influence of inhomogeneous surface albedo on UV irradiance , 1998 .

[52]  J. Duffie,et al.  Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation , 1982 .

[53]  Seasonal study of directional reflectance properties of snow , 2005 .

[54]  M. Lehning,et al.  Inhomogeneous precipitation distribution and snow transport in steep terrain , 2008 .

[55]  K. Atkinson The Numerical Solution of Integral Equations of the Second Kind , 1997 .