Synthetic Image Generation of Shallow Waters Using a Parallelized Hyperspectral Monte Carlo & Analytical Radiative Transfer Model

2003 ◽  
Author(s):  
Charles R. Bostater, Jr. ◽  
Gen-Tao Chiang ◽  
Lisa H. Huddleston ◽  
Manuel Gimond
Keyword(s):  
Monte Carlo ◽  
Radiative Transfer ◽  
Radiative Transfer Model ◽  
Shallow Waters ◽  
Synthetic Image ◽  
Transfer Model ◽  
Image Generation ◽  
Synthetic Image Generation

Semianalytic Monte Carlo radiative transfer model for oceanographic lidar systems

1981 ◽  
Vol 20 (20) ◽  
pp. 3653 ◽  
Author(s):  
L. R. Poole ◽  
D. D. Venable ◽  
J. W. Campbell
Keyword(s):  
Monte Carlo ◽  
Radiative Transfer ◽  
Radiative Transfer Model ◽  
Transfer Model

scholarly journals High resolution and Monte Carlo additions to the SASKTRAN radiative transfer model

2015 ◽  
Vol 8 (3) ◽  
pp. 3357-3397 ◽  
Author(s):  
D. J. Zawada ◽  
S. R. Dueck ◽  
L. A. Rieger ◽  
A. E. Bourassa ◽  
N. D. Lloyd ◽  
...  
Keyword(s):  
Monte Carlo ◽  
High Resolution ◽  
Radiative Transfer ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Reference Model ◽  
Monte Carlo Model ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Systematic Bias

Abstract. The OSIRIS instrument on board the Odin spacecraft has been measuring limb scattered radiance since 2001. The vertical radiance profiles measured as the instrument nods are inverted, with the aid of the SASKTRAN radiative transfer model, to obtain vertical profiles of trace atmospheric constituents. Here we describe two newly developed modes of the SASKTRAN radiative transfer model: a high spatial resolution mode, and a Monte Carlo mode. The high spatial resolution mode is a successive orders model capable of modelling the multiply scattered radiance when the atmosphere is not spherically symmetric; the Monte Carlo mode is intended for use as a highly accurate reference model. It is shown that the two models agree in a wide variety of solar conditions to within 0.2%. As an example case for both models, Odin-OSIRIS scans were simulated with the Monte Carlo model and retrieved using the high resolution model. A systematic bias of up to 4% in retrieved ozone number density between scans where the instrument is scanning up or scanning down was identified. It was found that calculating the multiply scattered diffuse field at five discrete solar zenith angles is sufficient to eliminate the bias for typical Odin-OSIRIS geometries.

scholarly journals A Monte Carlo radiative transfer model of satellite waveform LiDAR

2010 ◽  
Vol 31 (5) ◽  
pp. 1343-1358 ◽  
Author(s):  
P. R. J. North ◽  
J. A. B. Rosette ◽  
J. C. Suárez ◽  
S. O. Los
Keyword(s):  
Monte Carlo ◽  
Radiative Transfer ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Waveform Lidar

scholarly journals Uncertainty analysis of a radiative transfer model using Monte Carlo method within 280–2500 nm region

Solar Energy ◽  
2016 ◽  
Vol 132 ◽  
pp. 558-569 ◽  
Author(s):  
Giorgio Belluardo ◽  
Grazia Barchi ◽  
Dietmar Baumgartner ◽  
Marcus Rennhofer ◽  
Philipp Weihs ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Radiative Transfer ◽  
Uncertainty Analysis ◽  
Radiative Transfer Model ◽  
Transfer Model

The Monte Carlo atmospheric radiative transfer model McArtim: Introduction and validation of Jacobians and 3D features

2011 ◽  
Vol 112 (6) ◽  
pp. 1119-1137 ◽  
Author(s):  
Tim Deutschmann ◽  
Steffen Beirle ◽  
Udo Frieß ◽  
Michael Grzegorski ◽  
Christoph Kern ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Radiative Transfer ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Atmospheric Radiative Transfer

scholarly journals Validating the MYSTIC three-dimensional radiative transfer model with observations from the complex topography of Arizona's Meteor Crater

2010 ◽  
Vol 10 (5) ◽  
pp. 13373-13405 ◽  
Author(s):  
B. Mayer ◽  
S. W. Hoch ◽  
C. D. Whiteman
Keyword(s):  
Monte Carlo ◽  
Radiative Transfer ◽  
Three Dimensional ◽  
Longwave Radiation ◽  
Horizontal Resolution ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Deep Basin ◽  
Near Surface ◽  
Radiation Fields

Abstract. The MYSTIC three-dimensional Monte-Carlo radiative transfer model has been extended to simulate solar and thermal irradiances with a rigorous consideration of topography. Forward as well as backward Monte Carlo simulations are possible for arbitrarily oriented surfaces and we demonstrate that the backward Monte Carlo technique is superior to the forward method for applications involving topography, by greatly reducing the computational demands. MYSTIC is used to simulate the short- and longwave radiation fields during a clear day and night in and around Arizona's Meteor Crater, a bowl-shaped, 165-m-deep basin with a diameter of 1200 m. The simulations are made over a 4 by 4 km domain using a 10-m horizontal resolution digital elevation model and meteorological input data collected during the METCRAX (Meteor Crater Experiment) field experiment in 2006. Irradiance (or radiative flux) measurements at multiple locations inside the crater are then used to evaluate the simulations. MYSTIC is shown to realistically model the complex interactions between topography and the radiative field, resolving the effects of terrain shading, terrain exposure, and longwave surface emissions. The effects of surface temperature variations and of temperature stratification within the crater atmosphere on the near-surface longwave irradiance are then evaluated with additional simulations.

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