Abstract
Extreme precipitation and severe weather conditions often result in flash floods, Glacier Lake outburst floods (GLOFS), landslides and other disasters. These extreme events are linked with convective clouds. Convective clouds form the major energy transport in the troposphere and are responsible for the latent heat transfer in the atmosphere. Hydrologic cycle and atmospheric circulations are often included in these systems. We have used multispectral observations from Meteosat-7 at Thermal Infra Red (TIR) channels (11 and 12 µm) and water vapor absorption channel (6.7 µm) for the detection of convective clouds. The convective cloud climatology was developed over Indian tropics using this approach. The convective cloud climatology developed from the present approach was validated against Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) data and the Indian Meteorological Department (IMD) data. The results show a correlation coefficient (cc) of 0.79 and Root Mean Square Error (RMSE) of 2.61 (%) against rain gauge based observations of convective clouds.
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Mishra, A.K., Rafiq, M., Chandra, S., Sivarajan, N.A. (2019). Convective Cloud Climatology Over Indian Tropics and Nearby Regions Using Multi-spectral Satellite Observations. In: Zhang, Z., Khélifi, N., Mezghani, A., Heggy, E. (eds) Patterns and Mechanisms of Climate, Paleoclimate and Paleoenvironmental Changes from Low-Latitude Regions. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01599-2_29
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DOI: https://doi.org/10.1007/978-3-030-01599-2_29
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