“…It is noted that ␥ is dependent upon the observations, the observation error, and the first guess of the atmospheric profile; often it is chosen empirically (Smith et al 1985;Hayden 1988). The solution can be overconstrained, producing large biases in the retrieval when ␥ is too large.…”
During the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS), the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Airborne Sounder TestbedInterferometer (NAST-I), flying aboard the high-altitude Proteus aircraft, observed the spatial distribution of infrared radiance across the 650-2700 cm Ϫ1 (3.7-15.4 m) spectral region with a spectral resolution of 0.25 cm Ϫ1 . NAST-I scans cross track with a moderate spatial resolution (a linear ground resolution equal to 13% of the aircraft altitude at nadir). The broad spectral coverage and high spectral resolution of this instrument provides abundant information about the surface and three-dimensional state of the atmosphere. In this paper, the NAST-I measurements and geophysical product retrieval methodology employed for CLAMS are described. Example results of surface properties and atmospheric temperature, water vapor, ozone, and carbon monoxide distributions are provided. The CLAMS NAST-I geophysical dataset is available for use by the scientific community.
“…It is noted that ␥ is dependent upon the observations, the observation error, and the first guess of the atmospheric profile; often it is chosen empirically (Smith et al 1985;Hayden 1988). The solution can be overconstrained, producing large biases in the retrieval when ␥ is too large.…”
During the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS), the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Airborne Sounder TestbedInterferometer (NAST-I), flying aboard the high-altitude Proteus aircraft, observed the spatial distribution of infrared radiance across the 650-2700 cm Ϫ1 (3.7-15.4 m) spectral region with a spectral resolution of 0.25 cm Ϫ1 . NAST-I scans cross track with a moderate spatial resolution (a linear ground resolution equal to 13% of the aircraft altitude at nadir). The broad spectral coverage and high spectral resolution of this instrument provides abundant information about the surface and three-dimensional state of the atmosphere. In this paper, the NAST-I measurements and geophysical product retrieval methodology employed for CLAMS are described. Example results of surface properties and atmospheric temperature, water vapor, ozone, and carbon monoxide distributions are provided. The CLAMS NAST-I geophysical dataset is available for use by the scientific community.
“…The first Visible and Infrared Spin Scan Radiometer (VISSR) Atmospheric Sounder (VAS; Smith et al 1981;Hayden 1988) accomplished high-temporal-frequency sounding of Earth's atmosphere from more than 30,000 km above the equator. VAS had 12 sounding channels from 4 to 15 µm in and in between the carbon dioxide and water vapor absorption bands with a spatial resolution of 7 or 14 km at nadir; VAS also had one visible channel with 1-km horizontal resolution at nadir for cloud detection.…”
Section: Satellite-based Atmospheric Infrared Sounder Development Andmentioning
confidence: 99%
“…Improving NWP accuracy by using satellite soundings became a focus for many operational (op) NWP centers around the world. Advances in atmospheric sounding technology enabled broader spatial coverage as nadir-only observations gave way to cross-track scanning measurements of wide swaths and the gradual improvement in spectral resolution, spatial resolution, and radiometric accuracy (see Table 1 ;Hayden 1971;Gavaghan 1998;Conway 2008;Ohring 1979;Smith et al 1979;Menzel and Purdom 1994;Dong et al 2009;Yang et al 2012) from SIRS-A on Nimbus-3 in 1969. Filter radiometers that possessed relatively high spatial resolution and broadband spectral resolution were placed on meteorological satellites in polar orbit [such as the National Oceanic and Atmospheric Administration (NOAA) and FengYun-3 series] and GEO (such as the GOES series).…”
Section: Satellite-based Atmospheric Infrared Sounder Development Andmentioning
“…It is noted that ␥ is dependent upon the observations, the observation error, and the first guess of the atmospheric profile; often it is chosen empirically (e.g., Susskind et al 1984;Smith et al 1985;Hayden 1988). In the NAST-I retrieval procedure, the Discrepancy Principle (e.g., Morozov 1984;Carfora et al 1998;Li and Huang 1999) is applied to determine the appropriate smoothing factor␥.…”
A physical inversion scheme has been developed dealing with cloudy as well as cloud-free radiance observed with ultraspectral infrared sounders to simultaneously retrieve surface, atmospheric thermodynamic, and cloud microphysical parameters. A fast radiative transfer model, which applies to the clouded atmosphere, is used for atmospheric profile and cloud parameter retrieval. A one-dimensional (1D) variational multivariable inversion solution is used to improve an iterative background state defined by an eigenvector-regression retrieval. The solution is iterated in order to account for nonlinearity in the 1D variational solution. It is shown that relatively accurate temperature and moisture retrievals can be achieved below optically thin clouds. For optically thick clouds, accurate temperature and moisture profiles down to cloud-top level are obtained. For both optically thin and thick cloud situations, the cloud-top height can be retrieved with relatively high accuracy (i.e., error Ͻ1
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