Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds

Susskind, Joel; Barnet, C.; Blaisdell, John

doi:10.1109/tgrs.2002.808236

Cited by 722 publications

(734 citation statements)

References 22 publications

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“…I clr is the radiance which would be measured by AIRS in the case of clear sky, and I cld is the radiance emitted by a homogenous opaque single cloud layer, calculated for 39 assumed cloud pressure levels p k above surface (984 hPa to 106 hPa). For their computation we need the AIRS L2 temperature profiles as well as atmospheric transmissivity profiles at the corresponding wavelengths for an atmospheric situation similar to the one described by the AIRS L2 atmospheric temperature and water vapour profiles (Susskind et al, 2003). These atmospheric spectral transmissivity profiles have been simulated by the 4A radiative transfer model, separately for each satellite viewing zenith angle (up to 50 • ) and for about 2000 representative clear sky atmospheric temperature and humidity profiles of the TIGR data base.…”

Section: Airs-lmd Cloud Property Retrieval Methodsmentioning

confidence: 99%

“…Nine AIRS measurements (3×3) correspond to one footprint of the Advanced Microwave Sounder Unit (AMSU), and is called a 'golf ball'. AIRS L2 standard products include temperature at 28 pressure levels from 0.1 hPa to the surface and water vapour mixing ratios in 14 pressure layers from 50 hPa to the surface (Susskind et al, 2003(Susskind et al, , 2006. These atmospheric profiles were retrieved from cloud-cleared AIRS radiances within each AMSU footprint.…”

Section: Airs Datamentioning

confidence: 99%

“…Section 2 describes the AIRS-LMD cloud property retrieval algorithm, which makes use of retrieved atmospheric temperature and water vapour profiles of the AIRS L2 data (Susskind et al, 2003(Susskind et al, , 2006 and of atmospheric spectral transmissivity profiles which have been simulated for atmospheric profiles of the Thermodynamic Initial Guess Retrieval (TIGR) data base (Chédin et al, 1985;Chevallier et al, 1998). AIRS data have been collocated with CALIPSO data and then with the Radar -Lidar GEOPROF data.…”

Section: Introductionmentioning

confidence: 99%

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A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat

et al. 2010

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Abstract. We present a six-year global climatology of cloud properties, obtained from observations of the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) combined with CloudSat observations, both missions launched as part of the A-Train in 2006, provide a unique opportunity to evaluate the retrieved AIRS cloud properties such as cloud amount and height. In addition, they permit to explore the vertical structure of different cloud types. AIRS-LMD cloud detection agrees with CALIPSO about 85% over ocean and about 75% over land. Global cloud amount has been estimated from 66% to 74%, depending on the weighting of not cloudy AIRS footprints by partial cloud cover from 0 to 0.3. 42% of all clouds are high clouds, and about 42% of all clouds are single layer low-level clouds. The "radiative" cloud height determined by the AIRS-LMD retrieval corresponds well to the height of the maximum backscatter signal and of the "apparent middle" of the cloud. Whereas the real cloud thickness of high opaque clouds often fills the whole troposphere, their "apparent" cloud thickness (at which optical depth reaches about 5) is on average only 2.5 km. The real geometrical thickness of optically thin cirrus as identified by AIRS-LMD is identical to the "apparent" cloud thickness with an average of about 2.5 km in the tropics and midlatitudes. High clouds in the tropics have slightly more diffusive cloud tops than at higher latitudes. In general, the depth of the maximum backscatter signal increases nearly linearly with increasing "apparent" cloud thickness. For the same "apparent" cloud thicknessCorrespondence to: C. J. Stubenrauch (stubenrauch@lmd.polytechnique.fr) optically thin cirrus show a maximum backscatter about 10% deeper inside the cloud than optically thicker clouds. We also show that only the geometrically thickest opaque clouds and (the probably surrounding anvil) cirrus penetrate the stratosphere in the tropics.

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Section: Airs-lmd Cloud Property Retrieval Methodsmentioning

confidence: 99%

Section: Airs Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat

et al. 2010

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“…Sampling biases in the AIRS dataset are minimized by the ability of the instrument to retrieve in the presence of up to 80% cloud cover [Susskind et al, 2003].…”

Section: Datamentioning

confidence: 99%

Water‐vapor climate feedback inferred from climate fluctuations, 2003–2008

Dessler

Zhang

Yang

2008

Geophysical Research Letters

228

153

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Between 2003 and 2008, the global‐average surface temperature of the Earth varied by 0.6°C. We analyze here the response of tropospheric water vapor to these variations. Height‐resolved measurements of specific humidity (q) and relative humidity (RH) are obtained from NASA's satellite‐borne Atmospheric Infrared Sounder (AIRS). Over most of the troposphere, q increased with increasing global‐average surface temperature, although some regions showed the opposite response. RH increased in some regions and decreased in others, with the global average remaining nearly constant at most altitudes. The water‐vapor feedback implied by these observations is strongly positive, with an average magnitude of λq = 2.04 W/m2/K, similar to that simulated by climate models. The magnitude is similar to that obtained if the atmosphere maintained constant RH everywhere.

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“…Distribution and assimilation of selected channels is the current operational configuration for the Atmospheric Infrared Sounder (AIRS) -the first high-spectral-resolution infrared sounder to be assimilated into numerical-weather-prediction (NWP) models (Goldberg et al, 2003;Susskind J et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Selection of IASI channels for use in numerical weather prediction

Collard

2007

Quart J Royal Meteoro Soc

125

137

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ABSTRACT:The Infrared Atmospheric Sounding Interferometer (IASI) is an infrared Fourier-transform spectrometer that has been flying on the MetOp satellite series since October 2006. It measures the radiance emitted from the Earth in 8461 channels, covering the spectral interval 645-2760 cm −1 at a resolution of 0.5 cm −1 (apodized). The high volume of data resulting from IASI presents many challenges, particularly in the areas of data transmission, storage and assimilation.The simplest methods for reducing the data volume are spatial sampling and channel selection. In this paper, the issue of channel selection is discussed, and a selection of 300 channels suitable for transmission to numerical-weather-prediction centres is examined; the primary aim is the improvement of the temperature, humidity, ozone and carbon-dioxide state vectors. The channel-selection method takes account of redundancy, the effects of interfering species, and robustness against the choice of assumed background-error covariance and atmospheric state.

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Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds

Cited by 722 publications

References 22 publications

A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat

A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat

Water‐vapor climate feedback inferred from climate fluctuations, 2003–2008

Selection of IASI channels for use in numerical weather prediction

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