Abstract
Narrow channels located in the longwave IR CO2 absorption region between approximately 13.2 and 14.5 μm, the well known CO2 slicing channels, have been proven to be quite effective for the estimates of cloud heights and effective cloud amounts as well as atmospheric temperature profiles. The designs of some of the near-future multi-channel earth observing satellite sensors cannot accommodate these longwave IR channels. Based on the analysis of the multi-channel imaging data collected with the NASA Moderate Resolution Imaging SpectroRadiometer (MODIS) instrument and on theoretical cloud radiative transfer modeling, we have found that narrow channels located at the midwave IR region between approximately 4.2 and 4.55 μm, where the combined CO2 and N2O absorption effects decrease rapidly with increasing wavelength, have similar properties as the longwave IR CO2 slicing channels. The scattering of solar radiation by clouds on the long wavelength side of the 4.3 μm CO2 absorption makes only a small contribution to the upwelling radiances. In order to retain the crucial cloud and temperature sensing capabilities, future satellite sensors should consider including midwave IR CO2 and N2O slicing channels if the longwave IR channels cannot be implemented on the sensors. The hyperspectral data covering the 3.7-15.5 mm wavelength range and measured with the Infrared Atmospheric Sounding Interferometer (IASI) can be used to further assess the utility of midwave IR channels for satellite remote sensing.
Highlights
The longwave IR CO2 slicing channels between approximately 13.2 and 14.5 μm have been implemented in a number of meteorological satellite instruments [1,2]
Multi-years of high cloud statistics obtained from a series of satellite sensors of National Oceanic and Atmospheric Administration (NOAA) have been reported [4]
We report that narrow channels located in the midwave CO2 and N2O absorption region near 4.5 μm have similar properties as the longwave IR CO2 slicing channels based on the analysis of multi-channel imaging data collected with the NASA Moderate Resolution Imaging SpectroRadiometer (MODIS) instrument [6,7] and on theoretical cloud radiative transfer modeling
Summary
The longwave IR CO2 slicing channels between approximately 13.2 and 14.5 μm have been implemented in a number of meteorological satellite instruments [1,2]. The CO2 slicing technique is a well accepted method for inferring cloud height from passive IR remote sensing observations [5]. In spite of the great utility of the longwave IR CO2 slicing channels for remote sensing of clouds and atmospheric temperature profiles, some of the near-future satellite instruments presently being built will not carry these channels. Both VIIRS and SGLI will not have the important cloud and temperature sensing capabilities. We report that narrow channels located in the midwave CO2 and N2O absorption region near 4.5 μm have similar properties as the longwave IR CO2 slicing channels based on the analysis of multi-channel imaging data collected with the NASA MODIS instrument [6,7] and on theoretical cloud radiative transfer modeling
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