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AMT | Articles | Volume 12, issue 2
Atmos. Meas. Tech., 12, 777–790, 2019
https://doi.org/10.5194/amt-12-777-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 777–790, 2019
https://doi.org/10.5194/amt-12-777-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Feb 2019

Research article | 04 Feb 2019

Retrieval of convective available potential energy from INSAT-3D measurements: comparison with radiosonde data and their spatial–temporal variations

Uriya Veerendra Murali Krishna et al.

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Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-832,https://doi.org/10.5194/acp-2019-832, 2019
Revised manuscript not accepted

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Cited articles

Arakawa, A. and Schubert, W. H.: Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I, J. Atmos. Sci., 31, 674–701, https://doi.org/10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2, 1974. 
Bevington, P. R. and Robinson, D. K.: Data reduction and Error Analysis for the Physical Sciences. McGraw-Hill, New York, 1992. 
Brooks, H. E.: Severe thunderstorms and climate change, Atmos. Res., 123, 129–138, https://doi.org/10.1016/j.atmosres.2012.04.002, 2013. 
Das, S. K., Konwar, M., Chakravarty, K., and Deshpande, S. M.: Raindrop size distribution of different cloud types over the Western Ghats using simultaneous measurements from Micro-Rain Radar and disdrometer, Atmos. Res., 186, 72–82, https://doi.org/10.1016/j.atmosres.2016.11.003, 2017. 
de Coning, E., Koenig, M., and Olivier, J.: The combined instability index: A new very-short range convection forecasting technique for southern Africa, Meteorol. Appl., 18, 421–439, https://doi.org/10.1002/met.234, 2011. 
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Convective available potential energy (CAPE) is an indicator of the occurrence of extreme weather. For the first time over India, this study estimated CAPE from high spatial–temporal resolution measurements of the geostationary satellite, INSAT-3D. INSAT-3D estimates that CAPE reasonably represents the radiosonde CAPE. This study allows the atmospheric science community to select the best available dataset for their use in nowcasting and making severe weather warnings based on numerical models.
Convective available potential energy (CAPE) is an indicator of the occurrence of extreme...
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