Paper
8 December 2006 Atmospheric humidity profile retrieval algorithms for Megha-Tropiques SAPHIR: a simulation study and analysis of AMSU-B data
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Proceedings Volume 6408, Remote Sensing of the Atmosphere and Clouds; 640803 (2006) https://doi.org/10.1117/12.693566
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India
Abstract
Emission based radiative transfer simulations have been carried out to study the impact of atmospheric humidity on clear-sky microwave emissions at various channels of Megha-Tropiques SAPHIR and NOAA AMSU-B sounders. Detailed investigations reveal that under cool and drier conditions, water vapour channels in the far wing region like 183.31±7 GHz of AMSU-B and others behave like microwave imagers in contradiction to these being sounding channels. This feature affects their utility for sounding the lower atmosphere. Simulation study confirms that the layer average relative humidity is retrieved better as compared to its other forms requiring temperature information and has logarithmic dependency on radiation. Present study deals with development of retrieval algorithms using multi-channel sounder data for deriving average relative humidity for different layers of the atmosphere. AMSU-B data during June and October 2002 over Indian region have been used for testing the algorithms to derive relative humidity in three layers between 300 to 1000 hpa. The satellite derived humidity fields have been compared and found to be in good agreement with those from NCEP data.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. S. Gohil, A. K. Mathur, A. Sarkar, and Vijay K. Agarwal "Atmospheric humidity profile retrieval algorithms for Megha-Tropiques SAPHIR: a simulation study and analysis of AMSU-B data", Proc. SPIE 6408, Remote Sensing of the Atmosphere and Clouds, 640803 (8 December 2006); https://doi.org/10.1117/12.693566
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KEYWORDS
Humidity

Microwave radiation

Atmospheric modeling

Satellites

Absorption

Atmospheric sensing

Algorithm development

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