&lt;title&gt;Optical and electrothermal design of a linear-array thermopile detector for Geostationary Earth Radiation Budget applications&lt;/title&gt;

Mahan, J. R.; Weckmann, Stephanie; Sanchez, Maria Cristina; Sorensen, Ira J.; Coffey, Katherine L.; Kist, Edward H.; Nelson, Edward L.

doi:10.1117/12.333631

Cited by 3 publications

(2 citation statements)

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“…The radiative behavior of the cavity‐type thermal radiation detector described here and shown in Figure 2 has been reported elsewhere (Mahan et al , 1998). This design was an instrument concept that was proposed for use on the Geostationary Earth Radiation Budget (GERB) experiment (Harries and Crommelynck, 1999; Harries et al , 2005).…”

Section: Cavity‐type Thermal Radiation Detector Modelmentioning

confidence: 98%

Predicting uncertainty and confidence intervals in thermal radiative modeling using the Monte Carlo ray‐trace method

Sanchez

Mahan

2010

Int Jnl of Num Meth for HFF

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PurposeThe purpose of this paper is to present the results obtained from numerical models of radiant energy exchange in instruments typically used to measure various characteristics of the Earth's ocean‐atmosphere system.Design/methodology/approachNumerical experiments were designed and performed in a statistical environment, based on the Monte Carlo ray‐trace (MCRT) method, developed to model thermal and optical systems. Results from the derived theoretical equations were then compared to the results from the numerical experiments.FindingsA rigorous statistical protocol is defined and demonstrated for establishing the uncertainty and related confidence interval in results obtained from MCRT models of radiant exchange.Research limitations/implicationsThe methodology developed in this paper should be adapted to predict the uncertainty of more comprehensive parameters such as the total radiative heat transfer.Practical implicationsResults can be used to estimate the number of energy bundles necessary to be traced per surface element in a MCRT model to obtain a desired relative error.Originality/valueThis paper offers a new methodology to predict the uncertainty of parameters in high‐level modeling and analysis of instruments that accumulate the long‐term database required to correlate observed trends with human activity and natural phenomena. The value of this paper lies in the interest in understanding the climatological role of the Earth's radiative energy budget.

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Section: Cavity‐type Thermal Radiation Detector Modelmentioning

confidence: 98%

Predicting uncertainty and confidence intervals in thermal radiative modeling using the Monte Carlo ray‐trace method

Sanchez

Mahan

2010

Int Jnl of Num Meth for HFF

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“…(3) In writing Equation 3 the principle of reciprocity for the total, diffuse-specular distribution factor has been used to eliminate A1. The radiation heat flux emitted by surface element i is q' ciAiTi4C.T.4 (4) i,e A, …”

Section: Introductionmentioning

confidence: 99%

<title>Uncertainty and confidence intervals in optical design using the Monte Carlo ray-trace method</title>

et al. 2001

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The increasing use of probablistic methods, such as the Monte Carlo ray-trace (MCRT) method, in thermal radiation and optical modeling, has created a general awareness in the community of the need for a protocol to predict, to a specified level of confidence, the uncertainty of the results obtained using these methods. This paper presents such a protocol applied to models of radiometric channels used in spaced-based earth observations. It is anticipated that the same protocol, with suitable modification, may be extended to data from actual instruments. The authors and their colleagues have developed a powerful generic MCRT-based computational environment that, among other features, is capable of simulating radiative exchange among surfaces and within enclosures. As in any MCRT thermal-radiative/optical model, the spatial resolution and accuracy of the results obtained depend on the fineness of the mesh, the number of rays traced, and the accuracy of directional and spectral surface property models. The protocol presented in this paper identifies and quantifies the contribution of these factors to the ultimate uncertainty in predicted results and to their related confidence intervals.

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Model-Based Design and Operation of Next-Generation Space-Borne Radiometers (Invited)

Mahan¹,

Sorensen

Sanchez

2004

37th AIAA Thermophysics Conference

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<title>Optical and electrothermal design of a linear-array thermopile detector for Geostationary Earth Radiation Budget applications</title>

Cited by 3 publications

References 5 publications

Predicting uncertainty and confidence intervals in thermal radiative modeling using the Monte Carlo ray‐trace method

Predicting uncertainty and confidence intervals in thermal radiative modeling using the Monte Carlo ray‐trace method

<title>Uncertainty and confidence intervals in optical design using the Monte Carlo ray-trace method</title>

Model-Based Design and Operation of Next-Generation Space-Borne Radiometers (Invited)

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