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 **References:** **References:**
-    * Brawn, D. and U. Graham, 2008: Estimation of an atmospheric gamma drop size distribution using disdrometer data. Atmospheric Research 87.1, 66–79, doi: 10.1016/j.atmosres.2007.07.006.\\+    * Brawn, D.and U. Graham, 2008: Estimation of an atmospheric gamma drop size distribution using disdrometer data. Atmospheric Research 87.1, 66–79, doi: 10.1016/j.atmosres.2007.07.006.\\
     * Kneifel, S., and D. Moisseev, 2020: Long-Term Statistics of Riming in Nonconvective Clouds Derived from Ground-Based Doppler Cloud Radar Observations. Journal of the Atmospheric Sciences 77.10, 3495–3508, doi: 10.1175/JAS-D-20-0007.1, [[https://journals.ametsoc.org/view/journals/atsc/77/10/jasD200007.xml]].\\     * Kneifel, S., and D. Moisseev, 2020: Long-Term Statistics of Riming in Nonconvective Clouds Derived from Ground-Based Doppler Cloud Radar Observations. Journal of the Atmospheric Sciences 77.10, 3495–3508, doi: 10.1175/JAS-D-20-0007.1, [[https://journals.ametsoc.org/view/journals/atsc/77/10/jasD200007.xml]].\\
     * Moisseev, D., A. von Lerber, and J. Tiira, 2017: Quantifying the effect of riming on snowfall using ground-based observations. Journal of Geophysical Research: Atmospheres 122.7, 4019–4037, doi: [[https://doi.org/10.1002/2016JD026272]], [[https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2016JD026272]].\\     * Moisseev, D., A. von Lerber, and J. Tiira, 2017: Quantifying the effect of riming on snowfall using ground-based observations. Journal of Geophysical Research: Atmospheres 122.7, 4019–4037, doi: [[https://doi.org/10.1002/2016JD026272]], [[https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2016JD026272]].\\
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