scholarly journals A parametrization of 3-D subgrid-scale clouds for conventional GCMs: Assessment using A-Train satellite data and solar radiative transfer characteristics

2016 ◽  
Vol 8 (2) ◽  
pp. 566-597 ◽  
Author(s):  
Howard W. Barker ◽  
Jason N. S. Cole ◽  
Jiangnan Li ◽  
Knut von Salzen
Keyword(s):  
Radiative Transfer ◽  
Satellite Data ◽  
Subgrid Scale ◽  
Transfer Characteristics

scholarly journals Effects of subgrid-scale snow thickness variability on radiative transfer in sea ice

2015 ◽  
Vol 120 (8) ◽  
pp. 5597-5614 ◽  
Author(s):  
Carsten Abraham ◽  
Nadja Steiner ◽  
Adam Monahan ◽  
Christine Michel
Keyword(s):  
Radiative Transfer ◽  
Sea Ice ◽  
Subgrid Scale ◽  
Thickness Variability ◽  
Snow Thickness

Polarized Radiative Transfer Characteristics of Ice Cloud Atmospheres at Large Zenith Angles

2019 ◽  
Vol 39 (11) ◽  
pp. 1101002
Author(s):  
郭镭力 Guo Leili ◽  
王明军 Wang Mingjun
Keyword(s):  
Radiative Transfer ◽  
Ice Cloud ◽  
Transfer Characteristics

scholarly journals A study on radiative transfer effects in 3-D cloudy atmosphere using satellite data

2017 ◽  
Vol 122 (1) ◽  
pp. 443-468 ◽  
Author(s):  
M. Okata ◽  
T. Nakajima ◽  
K. Suzuki ◽  
T. Inoue ◽  
T. Y. Nakajima ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Satellite Data ◽  
Transfer Effects ◽  
Cloudy Atmosphere

scholarly journals Advanced Doubling–Adding Method for Radiative Transfer in Planetary Atmospheres

2006 ◽  
Vol 63 (12) ◽  
pp. 3459-3465 ◽  
Author(s):  
Quanhua Liu ◽  
Fuzhong Weng
Keyword(s):  
Radiative Transfer ◽  
Data Assimilation ◽  
Satellite Data ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Thermal Source ◽  
New Development ◽  
Joint Center ◽  
Computational Resources ◽  
Computation Codes

The doubling–adding method (DA) is one of the most accurate tools for detailed multiple-scattering calculations. The principle of the method goes back to the nineteenth century in a problem dealing with reflection and transmission by glass plates. Since then the doubling–adding method has been widely used as a reference tool for other radiative transfer models. The method has never been used in operational applications owing to tremendous demand on computational resources from the model. This study derives an analytical expression replacing the most complicated thermal source terms in the doubling–adding method. The new development is called the advanced doubling–adding (ADA) method. Thanks also to the efficiency of matrix and vector manipulations in FORTRAN 90/95, the advanced doubling–adding method is about 60 times faster than the doubling–adding method. The radiance (i.e., forward) computation code of ADA is easily translated into tangent linear and adjoint codes for radiance gradient calculations. The simplicity in forward and Jacobian computation codes is very useful for operational applications and for the consistency between the forward and adjoint calculations in satellite data assimilation. ADA is implemented into the Community Radiative Transfer Model (CRTM) developed at the U.S. Joint Center for Satellite Data Assimilation.

scholarly journals The ground-based MW radiometer OZORAM on Spitsbergen – description and validation of stratospheric and mesospheric O<sub>3</sub>-measurements

2010 ◽  
Vol 3 (2) ◽  
pp. 1933-1970
Author(s):  
M. Palm ◽  
C. G. Hoffmann ◽  
S. H. W. Golchert ◽  
J. Notholt
Keyword(s):  
Radiative Transfer ◽  
Millimeter Wave ◽  
Satellite Data ◽  
Diurnal Cycle ◽  
Spectroscopic Data ◽  
Large Deviation ◽  
High Arctic ◽  
Instrument Measurement ◽  
Millimeter Wave Radiometer ◽  
Radiative Transfer Modeling

Abstract. This manuscript introduces the OZORAM ground based millimeter wave radiometer. The instrument is deployed to the high Arctic (79° N, 12° E) for measurements of O3 in the upper stratosphere and lower mesosphere. The discussion covers measurements taken since late 2006. To investigate instrumental biases, the results from September 2008 till spring 2009 are compared to O3 profiles derived from measurements of two instruments onboard polar orbiting satellites, MLS onboard EOS-AURA and SABER onboard TIMED. The agreement is within 20% in the stratosphere and 40% in the mesosphere. The deviations show strong systematic and oscillating features, for which the error discussion of the ground based instrument/measurement gives possible explanations. Nonetheless, expected features like the diurnal cycle and O3 enhancements due to stratospheric warmings are readily observed, which could not originally be taken for granted given the large deviation from the satellite data. The nature of the oscillatory deviation is further studied. This study points to a systematic error in the radiative transfer modeling caused by imperfect spectroscopic data.

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