The authors are with the Environmental Research Laboratories, Wave Propagation Laboratory, National Oceanic & Atmospheric Administration, 325 Broadway, Boulder, Colorado 80303-3328.
Aerosol and cloud backscatter data, obtained over a 24-day period in fall 1988 with the National Oceanic & Atmospheric Administration’s Doppler lidar at 10.59-μm wavelength, are analyzed by using a new technique to lessen biases that are due to dropouts. Typical backscatter cross sections were significantly lower than those routinely observed over the continental United States, although episodic backscatter enhancements caused by cirrus and mineral dust also occurred. Implications of these data on the proposed Laser Atmospheric Wind Sounder wind profiling satellite sensor are discussed.
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Defined as the difference between the true and estimated geometric mean backscatter, divided by the product of the true geometric mean and standard deviations, averaged over the number of samples that fell within the tabulated dropout range.
Defined as the absolute difference between the true and estimated geometric mean backscatter, divided by the product of the true geometric mean and the standard deviations, averaged over the number of samples that fell within the tabulated dropout range.
Table 3
Clear Air Backscatter Statistics for Inferred Distributions Observed over Hawaii November–December 1988
Defined as the difference between the true and estimated geometric mean backscatter, divided by the product of the true geometric mean and standard deviations, averaged over the number of samples that fell within the tabulated dropout range.
Defined as the absolute difference between the true and estimated geometric mean backscatter, divided by the product of the true geometric mean and the standard deviations, averaged over the number of samples that fell within the tabulated dropout range.
Table 3
Clear Air Backscatter Statistics for Inferred Distributions Observed over Hawaii November–December 1988