9 May 2016 Assessment of forecast indices over Sriharikota using ground-based microwave radiometer
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Abstract
Continuous measurements of vertical profiles of thermodynamic variables are important for severe weather nowcasting & forecasting over a region instead of radiosonde observations which are available once or twice daily. Microwave Radiometer (MWR) provides high quality of thermodynamic (temperature, water vapor, and cloud liquid) soundings up to an altitude of 10 Kms in the clear and cloudy weather conditions except during heavy rainfall. Retrievals of MWR profiles are based on the intensity of the atmospheric radiation at selected frequencies (22-30 GHz) & (51-59 GHz) with high temporal and vertical resolution in the troposphere. The MWR used in the present study is TP/WVP-3166A, measures the intensity of radiation at 8 water vapor channels and 14 oxygen channels which is installed at Sriharikota in June. In this paper we analyzed the thermodynamic indices derived from MWR profiles during severe convective thunderstorms for Sriharikota region.

MWR derived thermodynamic profiles are compared with radiosonde observations during rainy & non rainy days. MWR temperature profiles and vapor density profiles are well correlated with the observations with a cold bias of 1.5°C & 2.5°C and with a dry bias of 0.37 g/m3 & 0.04 g/m3respectively. For this we considered 10 thunderstorm cases from June to November 2014 analysed with indices K index, MDPI, CAPE, Windex, KO index, L index, S index, Showalter index, Total totals index, Vertical totals along with integrated liquid water and vapour density. MDPI, CAP index, Windex, Kindex, Lindex and convective temperature were best performed indices two hours prior to thunderstorm over SHAR region.
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Pushpa Saroja R., Pushpa Saroja R., Rajasekhar M., Rajasekhar M., Papa Rao G., Papa Rao G., Rajeevan M., Rajeevan M., Bharathi G., Bharathi G., } "Assessment of forecast indices over Sriharikota using ground-based microwave radiometer", Proc. SPIE 9876, Remote Sensing of the Atmosphere, Clouds, and Precipitation VI, 987633 (9 May 2016); doi: 10.1117/12.2224405; https://doi.org/10.1117/12.2224405
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