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Preprints
https://doi.org/10.5194/acp-2019-832
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-832
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 18 Dec 2019

Submitted as: research article | 18 Dec 2019

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A revised version of this preprint is currently under review for the journal ACP.

Statistical characteristics of raindrop size distribution over Western Ghats of India: wet versus dry spells of Indian Summer Monsoon

Uriya Veerendra Murali Krishna1, Subrata Kumar Das1, Ezhilarasi Govindaraj Sulochana2, Bhowmik Utsav1, Sachin Madhukar Deshpande1, and Govindan Pandithurai1 Uriya Veerendra Murali Krishna et al.
  • 1Indian Institute of Tropical Meteorology, Pashan, Pune, 411008, India
  • 2College of Engineering, Guindy, Chennai, 600 025, India

Abstract. The nature of raindrop size distribution (DSD) is analyzed during wet and dry spells of the Indian Summer Monsoon (ISM) over Western Ghats (WGs) using Joss-Waldvogel Disdrometer (JWD) measurements. The observed DSDs are fitted with gamma distribution, and the characteristic DSDs are studied during the summer monsoon seasons (June–September) of 2012–2015. The DSD spectra show distinct diurnal variation during wet and dry spells. The dry spells exhibit a strong diurnal cycle with two peaks, while the diurnal cycle is not prominent in the wet spells. The observational results reveal the microphysical characteristics of warm rain during both the wet and dry spells. Even though the warm rain processes are dominant over WGs during monsoon, the underlying dynamical processes cause the differences in DSD characteristics during wet and dry spells. In addition, the differences in DSD spectra with different rain rates are also observed during the wet and dry spells. The DSD spectra are further analyzed by separating into stratiform and convective types. Finally, an empirical relation between slope parameter, Λ and shape parameter, μ is derived by best fitting the quadratic polynomial for the observed data during both wet and dry spells as well as for the stratiform and convective types of precipitation. The Λμ relations obtained in the present study are slightly different in comparison with the earlier studies.

Uriya Veerendra Murali Krishna et al.

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Uriya Veerendra Murali Krishna et al.

Uriya Veerendra Murali Krishna et al.

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