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Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D

1
National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad PIN-500037, Telangana State, India
2
Department of Physics, Andhra University, Visakhapatnam PIN-530003, Andhra Pradesh, India
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(23), 2811; https://doi.org/10.3390/rs11232811
Received: 6 September 2019 / Revised: 6 November 2019 / Accepted: 7 November 2019 / Published: 27 November 2019
(This article belongs to the Section Atmosphere Remote Sensing)
Investigation of cloud top temperature (CTT) and its diurnal variation is highly reliant on high spatial and temporal resolution satellite data, which is lacking over the Indian region. An algorithm has been developed for detection of clouds and retrieval of CTT from the geostationary satellite INSAT-3D. These retrievals are validated (inter-compared) with collocated in-situ (satellite) measurements with specific intent to generate climate-quality data. The cloud detection algorithm employs nine different tests, in accordance with solar illumination, satellite angle and surface type conditions to generate pixel-resolution cloud mask. Validation of cloud mask with cloud-aerosol lidar with orthogonal polarization (CALIOP) shows that probability of detection (POD) of cloudy (clear) sky is 81% (85%), with 83% hit rate. The algorithm is also implemented on similar channels of moderate resolution imaging spectroradiometer (MODIS), which provides 88% (83%) POD of cloudy (clear) sky, with 86% hit rate. CTT retrieval is done at the pixel level, for all cloud pixels, by employing appropriate methods for various types of clouds. Comparison of CTT with radiosonde and cloud-aerosol lidar and infrared pathfinder satellite observations (CALIPSO) shows mean absolute error less than 3%. The study also examines sensitivity of retrieved CTT to the cloud classification scheme and retrieval criteria. Validation results and their close agreements with those of similar satellites demonstrate the reliability of the retrieved product for climate studies. View Full-Text
Keywords: cloud detection; cloud top temperature; essential climate variable; INSAT-3D; inter-comparison; validation cloud detection; cloud top temperature; essential climate variable; INSAT-3D; inter-comparison; validation
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Lima, C.B.; Prijith, S.S.; Sesha Sai, M.V.R.; Rao, P.V.N.; Niranjan, K.; Ramana, M.V. Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D. Remote Sens. 2019, 11, 2811.

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