Laboratory studies of water vapor absorption in the atmospheric window at 213 GHz

Godon, M.; Carlier, Julien; Bauer, A.

doi:10.1016/0022-4073(92)90146-u

Cited by 24 publications

(8 citation statements)

References 43 publications

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“…V4.9 water vapor continuum. The water vapor absorption coefficient in the window region can be written [Bauer et al, 1995' Godon et al, 1992' Bauer and Godon, 1991 c• -fh2øAp2 (300/T)l•,…”

Section: Mls Uth Forward Modelmentioning

confidence: 99%

“…Equation (13) accounts for water-air continuum absorption, including contributions from line wings, and ignores the water-water term which depends on (fh2o) 2 and contributes negligibly in the upper troposphere. Values for A and B are available from laboratory measurements of water vapor broadened by N 2 at 213 GHz [Godon et al, 1992]. The wet continuum using these constants was added to the dry function discussed previously along with a contribution from the 203408 MHz H 2180 line.…”

Section: Mls Uth Forward Modelmentioning

confidence: 99%

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UARS Microwave Limb Sounder upper tropospheric humidity measurement: Method and validation

Read¹,

Waters²,

Wu³

et al. 2001

J. Geophys. Res.

102

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Abstract. The methodology and validation of upper tropospheric humidity (UTH) measurements by the Microwave Limb Sounder (MLS) on the Upper Atmosphere ResearchSatellite (UARS) are described. The MLS instrument was not specifically designed to measure UTH, but its measurement is achieved by modeling the radiance signal from a window channel as the instrument field of view is scanned through the troposphere. UTH is retrieved as a piecewise-linear function in relative humidity with respect to ice (% RHi) with breakpoints at 147,215, 316, and 464 hPa. MLS version 4.9 is believed to be the most accurate version to date; its estimated global-averaged accuracy (

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Section: Mls Uth Forward Modelmentioning

confidence: 99%

Section: Mls Uth Forward Modelmentioning

confidence: 99%

UARS Microwave Limb Sounder upper tropospheric humidity measurement: Method and validation

Read¹,

Waters²,

Wu³

et al. 2001

J. Geophys. Res.

102

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show abstract

“…The haze model is described in Liebe (1985Liebe ( , 1987. There is an updated water vapour continuum spectrum (Liebe, 1985(Liebe, , 1987Bauer and Godon, 1991;Godon et al, 1992). A model for the dielectric properties of liquid water to calculate Rayleigh absorption and delay by suspended water droplets with radii less than 50 μm, such as in haze, fog and clouds, is described in Liebe et al (1989Liebe et al ( , 1991.…”

Section: Radiative Transfer Model (Rtm)mentioning

confidence: 99%

Comparison of Gaussian, logarithmic transform and mixed Gaussian–log‐normal distribution based 1DVAR microwave temperature–water‐vapour mixing ratio retrievals

Kliewer

Fletcher

Jones

et al. 2015

Quart J Royal Meteoro Soc

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The assumption of a Gaussian distribution is widely used in remote sensing retrievals and data assimilation for numerical weather prediction. Since many geophysical variables follow a log‐normal distribution rather than a Gaussian distribution, a mixed log‐normal and Gaussian distribution data assimilation scheme is implemented in the Cooperative Institute for Research in the Atmosphere (CIRA) one‐dimensional optimal estimation (C1DOE) retrieval system to model the background errors associated with the temperature as a Gaussian and those with respect to the mixing ratio as log‐normal. The new mixed distribution is compared against the traditional Gaussian configuration and a logarithmic transformation for the water‐vapour mixing ratio for two situations: (i) synthetic brightness temperatures generated from a log‐normal distribution and (ii) Advanced Microwave Sounding Unit (AMSU) observations from the month of September 2005 over the west Pacific, where a log‐normal signal for moisture had previously been detected. It is shown for Case 1 that, given a consistent a priori state for a log‐normal distribution, the log‐normal distribution based retrieval is the best at inverting the true state back. For Case 2, the final innovations are smallest for the mixed distribution scheme. The retrieval values are compared against the Microwave Surface and Precipitation Products System (MSPPS) and the log‐normal approach is consistently closer to the values compared with these other two approaches.

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“…As in the previous experiments (1,(15)(16)(17)(18), the pressure of the mixing gas, CH 4 , was fixed at 750 Torr. The purity of CH 4 was 99.995%.…”

Section: Experimental Studiesmentioning

confidence: 99%

“…Our experimental data for pure water vapor and an atmospheric mixture of nitrogen have been compared with some of these models (1,(15)(16)(17) and have disclosed restrictions and limits on some calculated continuums. To get more insight on the molecular processes involved and in the aim of a more general treatment of the line profile, we have undertaken studies with other collisional partners.…”

Section: Introductionmentioning

confidence: 99%

The Continuum of Water Vapor Mixed with Methane: Absolute Absorption at 239 GHz and Linewidth Calculations

Godon

Bauer

Gamache

2000

Journal of Molecular Spectroscopy

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Laboratory studies of water vapor absorption in the atmospheric window at 213 GHz

Cited by 24 publications

References 43 publications

UARS Microwave Limb Sounder upper tropospheric humidity measurement: Method and validation

UARS Microwave Limb Sounder upper tropospheric humidity measurement: Method and validation

Comparison of Gaussian, logarithmic transform and mixed Gaussian–log‐normal distribution based 1DVAR microwave temperature–water‐vapour mixing ratio retrievals

The Continuum of Water Vapor Mixed with Methane: Absolute Absorption at 239 GHz and Linewidth Calculations

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