Retrieving in-cloud vertical profiles of the atmospheric temperature from GPS RO data

Lin Lin; Xiaolei Zou; J. O'Connor; J.-C. Chang; L.-B. Chu

doi:10.1117/12.736677

27 October 2007 Retrieving in-cloud vertical profiles of the atmospheric temperature from GPS RO data

Lin Lin; Xiaolei Zou; J. O'Connor; J.-C. Chang; L.-B. Chu

Author Affiliations +

Proceedings Volume 6685, Assimilation of Remote Sensing and In Situ Data in Modern Numerical Weather and Environmental Prediction Models; 66850O (2007) https://doi.org/10.1117/12.736677
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

A GPS retrieval algorithm is developed for obtaining in-cloud vertical profiles of the atmospheric state from Global Positioning System (GPS) radio occultation (RO) data, using MODIS (Moderate Resolution Imaging Spectroradiometer) cloud-top pressure and cloud-top temperature as auxiliary information. The cloud-base height is estimated based on the vertical distributions of density scale height, temperature lapse rate and relative humidity using GPS wet retrievals. The proposed algorithm is tested upon 31 cloudy GPS RO profiles from Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC). It is found that the retrieval temperature is warmer than NCEP-reanalysis in the upper levels of the cloud and colder near and below the cloud base. Dropsonde observations for Hurricane Rita confirm this characteristic feature of the NCEP temperature analysis within clouds. The cloud thickness and cloud-base height that are determined by the proposed criteria are validated qualitatively with IR and VIS satellite images. Sensitivity of the GPS in-cloud profile retrieval to the MODIS cloud top pressure is also shown.

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Lin Lin, Lin Lin, Xiaolei Zou, Xiaolei Zou, J. O'Connor, J. O'Connor, J.-C. Chang, J.-C. Chang, L.-B. Chu, L.-B. Chu, } "Retrieving in-cloud vertical profiles of the atmospheric temperature from GPS RO data", Proc. SPIE 6685, Assimilation of Remote Sensing and In Situ Data in Modern Numerical Weather and Environmental Prediction Models, 66850O (27 October 2007); doi: 10.1117/12.736677; https://doi.org/10.1117/12.736677

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