projects:hydrocolumn

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projects:hydrocolumn [2025/09/12 18:21] ayushprojects:hydrocolumn [2026/02/23 17:35] (current) ayush
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     * Frech, M., Hagen, M., and Mammen, T., 2017: Monitoring the absolute calibration of a polarimetric weather radar, J. Atmos. Oceanic Technol. 34, doi: 10.1175/JTECH-D-16-0076.1.     * Frech, M., Hagen, M., and Mammen, T., 2017: Monitoring the absolute calibration of a polarimetric weather radar, J. Atmos. Oceanic Technol. 34, doi: 10.1175/JTECH-D-16-0076.1.
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     * Gergely, M., Schaper, M., Toussaint, M., and Frech, M., 2022: Doppler spectra from DWD’s operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes, Atmos. Meas. Tech. 15, doi: 10.5194/amt-15-7315-2022.     * Gergely, M., Schaper, M., Toussaint, M., and Frech, M., 2022: Doppler spectra from DWD’s operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes, Atmos. Meas. Tech. 15, doi: 10.5194/amt-15-7315-2022.
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     * Kneifel, S., and Moisseev D., 2020: Long-term statistics of riming in nonconvective clouds derived from ground-based Doppler cloud radar observations, J. Atmos. Sci. 77, doi: 10.1175/JAS-D-20-0007.1.     * Kneifel, S., and Moisseev D., 2020: Long-term statistics of riming in nonconvective clouds derived from ground-based Doppler cloud radar observations, J. Atmos. Sci. 77, doi: 10.1175/JAS-D-20-0007.1.
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     * Zängl, G., Reinert, D., Ripodas, P., and Baldauf, M., 2015: The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: description of the non-hydrostatic dynamical core, Q. J. Roy. Meteor. Soc. 141, 563–579, doi: 10.1002/qj.2378.     * Zängl, G., Reinert, D., Ripodas, P., and Baldauf, M., 2015: The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: description of the non-hydrostatic dynamical core, Q. J. Roy. Meteor. Soc. 141, 563–579, doi: 10.1002/qj.2378.
  
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 **References** **References**
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-    * Campello, R. J. G. B., Moulavi, D., and Sander, J., 2013: Density-Based Clustering Based on Hierarchical Density Estimates. In: Pei J., Tseng V.S., Cao L., Motoda H., Xu G. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science, vol 7819. Springer, Berlin, Heidelberg, doi: 10.1007/978-3-642-37456-2_14.\\ +    * Campello, R. J. G. B., Moulavi, D., and Sander, J., 2013: Density-Based Clustering Based on Hierarchical Density Estimates. In: Pei J., Tseng V.S., Cao L., Motoda H., Xu G. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2013. Lecture Notes in Computer Science, vol 7819. Springer, Berlin, Heidelberg, doi: 10.1007/978-3-642-37456-2_14. 
- +    * Frech, M., Hagen, M., and Mammen, T., 2017: Monitoring the absolute calibration of a polarimetric weather radar, J. Atmos. Oceanic Technol. 34, doi: 10.1175/JTECH-D-16-0076.
-    * Frech, M., Hagen, M., and Mammen, T., 2017: Monitoring the absolute calibration of a polarimetric weather radar, J. Atmos. Oceanic Technol. 34, doi: 10.1175/JTECH-D-16-0076.1.\\ +
     * Williams, C. R., Maahn, M., Hardin, J. C., and de Boer, G., 2018: Clutter mitigation, multiple peaks, and high-order spectral moments in 35 GHz vertically pointing radar velocity spectra, Atmos. Meas. Tech. 11, doi: 10.5194/amt-11-4963-2018.\\     * Williams, C. R., Maahn, M., Hardin, J. C., and de Boer, G., 2018: Clutter mitigation, multiple peaks, and high-order spectral moments in 35 GHz vertically pointing radar velocity spectra, Atmos. Meas. Tech. 11, doi: 10.5194/amt-11-4963-2018.\\
  
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