Satellite-based 3D structure of cloud and aerosols over the Indian Monsoon region: implications for aerosol-cloud interaction

Sagnik Dey; Kamalaika Sengupta; George Basil; Sushant Das; Nidhi Nidhi; S. K. Dash; Arjya Sarkar; Parul Srivastava; Ajit Singh; P. Agarwal

doi:10.1117/12.979246

8 November 2012 Satellite-based 3D structure of cloud and aerosols over the Indian Monsoon region: implications for aerosol-cloud interaction

Sagnik Dey, Kamalaika Sengupta, George Basil, Sushant Das, Nidhi Nidhi, S. K. Dash, Arjya Sarkar, Parul Srivastava, Ajit Singh, P. Agarwal

Author Affiliations +

Proceedings Volume 8529, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions IV; 852907 (2012) https://doi.org/10.1117/12.979246
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

Abstract

Accurate knowledge of vertical distributions of aerosol and cloud fields and their space-time variations are required to reduce the uncertainty in estimated climate forcing. Here, multi-sensor (both passive and active) data were used to construct the climatology of 3-D cloud and aerosol fields over the Indian monsoon region. Multilayer clouds are found to persist throughout the year, among which cumulus and stratocumulus dominate the low clouds and cirrus dominates the high clouds. A combination of passive stereo-technique (MISR) and radiometric technique (ISCPP) captures the multilayer cloud structure as revealed by active sensor CALIOP. Coexistence of low clouds throughout the year with high aerosol concentration beneath and above leads to a transition from increasing to decreasing cloud fraction with an increase in aerosol optical depth. Such transition is rapid in the monsoon season due to convergence of low clouds to form high clouds facilitated by high aerosol loading. Further, the regional climate model RegCM 4.1 has been used to examine aerosol-cloud interaction. The aerosol-induced changes of low cloud amount are under-estimated by the model. The observation-based seasonal climatology of aerosol and cloud fields presented here may help in improving the model simulations of cloud variability and associated rainfall.

Citation Download Citation

Sagnik Dey, Kamalaika Sengupta, George Basil, Sushant Das, Nidhi Nidhi, S. K. Dash, Arjya Sarkar, Parul Srivastava, Ajit Singh, and P. Agarwal "Satellite-based 3D structure of cloud and aerosols over the Indian Monsoon region: implications for aerosol-cloud interaction", Proc. SPIE 8529, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions IV, 852907 (8 November 2012); https://doi.org/10.1117/12.979246

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