&lt;title&gt;History of one family of atmospheric radiative transfer codes&lt;/title&gt;

Anderson, Gail P.; Wang, Jinxue; Hoke, Michael L.; Kneizys, F. X.; Chetwynd, James H.; Rothman, Laurence S.; Kimball, L. M.; McClatchey, R. A.; Shettle, E. P.; Shepard,; Gallery, W. O.; Abreu, Leonard W.; Selby, John E.

doi:10.1117/12.196674

Cited by 50 publications

(35 citation statements)

References 24 publications

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“…Top-of-atmosphere solar irradiance spectrum is from Kurucz [18]; the surface spectral albedo is for a vegetated surface [19]. Vertical profiles of atmospheric state (temperature, pressure, density) are from a standard mid-latitude summer profile [20].…”

Section: Radiative Transfer Calculationsmentioning

confidence: 99%

Characterizing a New Surface-Based Shortwave Cloud Retrieval Technique, Based on Transmitted Radiance for Soil and Vegetated Surface Types

et al. 2013

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This paper presents an approach using the GEneralized Nonlinear Retrieval Analysis (GENRA) tool and general inverse theory diagnostics including the maximum likelihood solution and the Shannon information content to investigate the performance of a new spectral technique for the retrieval of cloud optical properties from surface based transmittance measurements. The cumulative retrieval information over broad ranges in cloud optical thickness (τ), droplet effective radius (r e ), and overhead sun angles is quantified under two conditions known to impact transmitted radiation; the variability in land surface albedo and atmospheric water vapor content. Our conclusions are: (1) the retrieved cloud properties are more sensitive to the natural variability in land surface albedo than to water vapor content; (2) the new spectral technique is more accurate (but still imprecise) than a standard approach, in particular for τ between 5 and 60 and r e less than approximately 20 μm; and (3) the retrieved cloud properties are dependent on sun angle for clouds of from 5 to 10 and r e < 10 μm, with maximum sensitivity obtained for

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Section: Radiative Transfer Calculationsmentioning

confidence: 99%

Characterizing a New Surface-Based Shortwave Cloud Retrieval Technique, Based on Transmitted Radiance for Soil and Vegetated Surface Types

et al. 2013

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“…Stamnes and Swanson, 1981) to calculate the brightness temperature spectra for a planeparallel cloud of varying optical thickness. In this model all radiative processes occurring above the cloud are ignored and the radiances entering the cloud base are calculated from the Modtran-4 radiative transfer program (see Anderson et al, 1995;Berk et al, 1989) with local radiosonde data as input for the temperature and water vapour profiles, while all other gas and aerosol profiles are fixed at the US Standard Atmosphere values. It is noted that there is a potential error in this model, since it is likely that some aerosol (volcanic ash) may be present in the cloud; however in the absence of data on the ash we are unable to include any effects in the model.…”

Section: Icementioning

confidence: 99%

Tracking and quantifying volcanic SO<sub>2</sub> with IASI, the September 2007 eruption at Jebel at Tair

et al. 2008

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Abstract.In this paper we demonstrate the potential of the infrared Fourier transform spectrometer IASI in analysing volcanic eruptions, using the September 2007 eruption at Jebel at Tair as an illustrative example. Detailed radiative transfer calculations are presented, simulating IASI-like transmittance spectra for a variety of volcanic plumes. We analyse the sensitivity of IASI to SO 2 at different altitudes and demonstrate that IASI is in principle capable of sensing SO 2 down to the surface. Using the brightness temperature difference of well chosen SO 2 channels as a filter, we are able to track the plume of the Jebel at Tair eruption for 12 days, on a par with state of the art UV sounders. A method is presented for quickly estimating the altitude of a volcanic plume based on the relative intensities of the SO 2 absorption lines. Despite recent advances, it is still very challenging to retrieve vertical profiles of SO 2 from nadir viewing satellites. Currently the most accurate profiles in nadir are retrieved using backtracking of the plume with atmospheric transport models. Via full inverse retrievals using the optimal estimation method, we show the possibility of extracting medium coarse vertical profiles from IASI data. The retrieval allows us to present an evolution of the total mass of SO 2 in the plume for the Jebel at Tair eruption. An analytical relation is derived between brightness temperature differences and concentrations, which fits the experimental data very well. The spectral range of IASI also allows retrieval of volcanic aerosols. In the initial plume of the Jebel at Tair eruption, volcanic aerosols were found in the form of ice particles, for which we derived particle sizes.

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“…where L h (λ) (the "haze") now includes scatter from thermally emitted atmospheric and background photons in addition to the reflected contribution, and is given by: (8) and where, for the direct thermal emission…”

Section: Inband Signal Haze and Direct Thermalmentioning

confidence: 99%

PICASSO: an end-to-end image simulation tool for space and airborne imaging systems II. Extension to the thermal infrared: equations and methods

et al. 2011

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In a previous paper in this series, we described how The Aerospace Corporation's Parameterized Image Chain Analysis & Simulation SOftware (PICASSO) tool may be used to model space and airborne imaging systems operating in the visible to near-infrared (VISNIR). PICASSO is a systems-level tool, representative of a class of such tools used throughout the remote sensing community. It is capable of modeling systems over a wide range of fidelity, anywhere from conceptual design level (where it can serve as an integral part of the systems engineering process) to as-built hardware (where it can serve as part of the verification process). In the present paper, we extend the discussion of PICASSO to the modeling of Thermal Infrared (TIR) remote sensing systems, presenting the equations and methods necessary to modeling in that regime.

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<title>History of one family of atmospheric radiative transfer codes</title>

Cited by 50 publications

References 24 publications

Characterizing a New Surface-Based Shortwave Cloud Retrieval Technique, Based on Transmitted Radiance for Soil and Vegetated Surface Types

Characterizing a New Surface-Based Shortwave Cloud Retrieval Technique, Based on Transmitted Radiance for Soil and Vegetated Surface Types

Tracking and quantifying volcanic SO<sub>2</sub> with IASI, the September 2007 eruption at Jebel at Tair

PICASSO: an end-to-end image simulation tool for space and airborne imaging systems II. Extension to the thermal infrared: equations and methods

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<title>History of one family of atmospheric radiative transfer codes</title>

Cited by 50 publications

References 24 publications

Characterizing a New Surface-Based Shortwave Cloud Retrieval Technique, Based on Transmitted Radiance for Soil and Vegetated Surface Types

Characterizing a New Surface-Based Shortwave Cloud Retrieval Technique, Based on Transmitted Radiance for Soil and Vegetated Surface Types

Tracking and quantifying volcanic SO&lt;sub&gt;2&lt;/sub&gt; with IASI, the September 2007 eruption at Jebel at Tair

PICASSO: an end-to-end image simulation tool for space and airborne imaging systems II. Extension to the thermal infrared: equations and methods

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Tracking and quantifying volcanic SO<sub>2</sub> with IASI, the September 2007 eruption at Jebel at Tair