Paper
13 October 2008 Pursuing atmospheric water vapor retrieval through NDSA measurements between two LEO satellites: evaluation of estimation errors in spectral sensitivity measurements
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Proceedings Volume 7107, Remote Sensing of Clouds and the Atmosphere XIII; 710710 (2008) https://doi.org/10.1117/12.799130
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
NDSA (Normalized Differential Spectral Absorption) is a novel differential measurement method to estimate the total content of water vapor (IWV, Integrated Water Vapor) along a tropospheric propagation path between two Low Earth Orbit (LEO) satellites. A transmitter onboard the first LEO satellite and a receiver onboard the second one are required. The NDSA approach is based on the simultaneous estimate of the total attenuations at two relatively close frequencies in the Ku/K bands and of a "spectral sensitivity parameter" that can be directly converted into IWV. The spectral sensitivity has the potential to emphasize the water vapor contribution, to cancel out all spectrally flat unwanted contributions and to limit the impairments due to tropospheric scintillation. Based on a previous Monte Carlo simulation approach, through which we analyzed the measurement accuracy of the spectral sensitivity parameter at three different and complementary frequencies, in this work we examine such accuracy for a particularly critical atmospheric status as simulated through the pressure, temperature and water vapor profiles measured by a high resolution radiosonde. We confirm the validity of an approximate expression of the accuracy and discuss the problems that may arise when tropospheric water vapor concentration is lower than expected.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Facheris, F. Cuccoli, and F. Argenti "Pursuing atmospheric water vapor retrieval through NDSA measurements between two LEO satellites: evaluation of estimation errors in spectral sensitivity measurements", Proc. SPIE 7107, Remote Sensing of Clouds and the Atmosphere XIII, 710710 (13 October 2008); https://doi.org/10.1117/12.799130
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KEYWORDS
Scintillation

Signal attenuation

Monte Carlo methods

Satellites

Atmospheric propagation

Receivers

Error analysis

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