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W. T. Roach

372 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME36 Radiative Transfer and Cloud Droplet Growth W. T. ROACH Meteorological O. Oice, Bracknell, Berkshire, United Eingdom 21 August 1978 ABSTRACT Two papem, Roach (1976) and Barkstrom (1978), estimating the significance of radiative transfer oncloud (or fog) droplet growth have recently appeared

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Charles Acquista, Frederick House, and James Jafolla

1446 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME38N-Stream Approximations to Radiative Transfer CHARLES ACQUISTA, FREDERICK HOUSE AND JAMES JAFOLLADepartment of Physics and Atmospheric Science, Drexel University, Philadelphia, PA 19104(Manuscript received 11 December 1980, in final form 30 March 1981)ABSTRACT Schuster's two-stream approximation is first derived from Chandrasekhar's radiative transfer equation, and then generalized

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Timothy W. Cronin

weighting with an incorrect approach to insolation weighting. 2. Hold the insolation constant The importance of keeping insolation constant was intended to be a major point in Cronin (2014 , p. 2994): A global-average radiative transfer calculation requires specifying both an effective cosine of solar zenith angle and an effective solar constant such that the resulting insolation matches the planetary-mean insolation…. Matching the mean insolation constrains only the product , and not either

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David B. Mechem, Yefim L. Kogan, Mikhail Ovtchinnikov, Anthony B. Davis, K. Franklin Evans, and Robert G. Ellingson

universally employ one-dimensional treatments of radiative transfer (RT), typically implemented as a two- or four-stream approximation to the radiative transfer equation. One-dimensional RT (1DRT), also referred to here as the independent pixel approximation (IPA), 1 is computationally attractive relative to Monte Carlo methods or solving the full radiative transfer equation. However, IPA RT neglects horizontal radiation transport 2 and associated effects such as cloud shadowing and radiative cooling of

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Petri Räisänen and Anders V. Lindfors

fitting the transmittances to Monte Carlo radiative transfer calculations ( Mayer 2009 ). However, Reinhardt et al. (2014) noted that the values derived for ice clouds differed less than 5% from those computed directly from the single-scattering properties [Eq. (4) ], when the slant optical depth was τ s < 3 and the half-FOV angle was α > 0.5 ° . In this work, we utilize a Monte Carlo model to study the contribution of scattered radiation t sc ⁡ ( α ) to the apparent direct transmittance t

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F. Malvagi, R. N. Byrne, G. C. Pomraning, and R. C. J. Somerville

2146 JOURNAL OF THE ATMOSPHERIC SCIENCES VOL. 50, NO. 14Stochastic Radiative Transfer in a Partially Cloudy Atmosphere F. M~ALVAOl AND R. N. BYRNEScience Applications International Corporation, La Jolla, California G. C. POMRANINGSchool of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California R. C

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Maziar Bani Shahabadi, Josep M. Aparicio, and Louis Garand

1. Introduction Radiance observations are one of the most important sources of data for numerical weather prediction (NWP) ( Cardinali 2009 ; Buehner et al. 2018 ). It is therefore important to optimize the use of these observations in operational data assimilation systems. Improvement to the observation operator used in satellite data assimilation is the subject of this paper. The standard approach in NWP is to perform radiative transfer calculations on interpolated one-dimensional (1D

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William I. Newman, Jeffrey K. Lew, George L. Siscoe, and Robert G. Fovell

15FEBRUARY 1995 NEWMAN ET AL. 427Systematic Effects of Randomness in Radiative Transfer WILLIAM I. NEWMANDepartments of Earth and Space Sciences, Astronomy, and Mathematics, University of California, Los Angeles, California JEFFREY K. LEW, GEORGE L. SISCOE, AND ROBERT G. FOVELLDepartment of Atmospheric Sciences, University of California Los Angeles, Los Angeles

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Robin J. Hogan, Mark D. Fielding, Howard W. Barker, Najda Villefranque, and Sophia A. K. Schäfer

characterized by Hogan and Shonk (2013) as entirely associated with flow of radiation through cloud sides, and led to the development of the Speedy Algorithm for Radiative Transfer through Cloud Sides (SPARTACUS; Hogan et al. 2016 ; Schäfer et al. 2016 ). This solver is now available as an option in the radiation scheme of the forecast model used by the European Centre for Medium-Range Weather Forecasts (ECMWF; Hogan and Bozzo 2018 ). In the shortwave, the main effect of transport through cloud sides

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Thomas P. Ackerman, Kuo-Nan Liou, and Conway B. Leovy

JOURNAL OF APPLIED METEOROLOGY VOLUM~I$Infrared Radiative Transfer in Polluted Atmospheres~ Tao~s P. Ac~Emo. sD~p~r~n2nl oJ A~mosptv~ri~ Sd~a~s, U~si~:~ oJ W~ing~n, ~z~ 9819~K~O-N~ L~o~ Dep~n~ of M~ology, Un~ly of U~h, 5~ La~ City 84112 CO~ B. L~Departm~ of Atmosp~ S~es, Un~s~y of W~hingt~, Se~ 9~195(M~usc~pt received 17 M~rch 1975, ~ re~d fo~ 8 Sep~mber 1975)ABSTRACT A four-stream, multi-layered radiative

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