Spaceborne cloud-profiling radar: instrument parameter optimization for resolving highly layered cloud structures

Chung-Chi Lin; Claire Tinel; Karine Caillault; Jacques Testud; Eric Caubet

doi:10.1117/12.466617

18 April 2003 Spaceborne cloud-profiling radar: instrument parameter optimization for resolving highly layered cloud structures

Chung-Chi Lin, Claire Tinel, Karine Caillault, Jacques Testud, Eric Caubet

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Proceedings Volume 4882, Remote Sensing of Clouds and the Atmosphere VII; (2003) https://doi.org/10.1117/12.466617
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

EarthCARE, a candidate Earth Explorer Core mission of ESA, aims to improve our knowledge of the impact of clouds and aerosols on the Earth's radiative budget. The satellite will carry two nadir sounding active instruments: a Cloud Profiling Radar (CPR) and a backscatter lidar. In addition, a multispectral cloud-imager, a Fourier transform spectrometer and a broadband radiometer complement the payload. The objective of the present study was to optimize the parameters of the CPR for retrieving accurate radiative profiles for highly layered cloud structures. Realistic cloud scenarios taken from ground-based experiments have been used for simulating the radar response to cloud layers. A radar simulator was developed initially for one-dimensional simulation of the radar echos. The cloud microphysical properties were retrieved using a model as a function of the reflectivity factor and temperature, based on information from in-situ measurements. An extensive parametric analysis was performed for various vertical resolutions and sensitivities which have direct impacts on the radar design and necessary resources on-board the satellite. The analysis demonstrated that the proposed radar characteristics will meet the top-of-the-atmosphere radiative flux density estimation accuracy of 10 W/m² as recommended by WCRP.

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Chung-Chi Lin, Claire Tinel, Karine Caillault, Jacques Testud, and Eric Caubet "Spaceborne cloud-profiling radar: instrument parameter optimization for resolving highly layered cloud structures", Proc. SPIE 4882, Remote Sensing of Clouds and the Atmosphere VII, (18 April 2003); https://doi.org/10.1117/12.466617

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KEYWORDS

Clouds

Radar

Reflectivity

Atmospheric modeling

Signal to noise ratio

Signal attenuation

Water

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