projects:icepolcka

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projects:icepolcka [2026/01/31 17:40] – ayushprojects:icepolcka [2026/02/23 17:37] (current) – ayush
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 **References**\\ **References**\\
  
-    * Bony, S., Stevens, B., Ament, F. et al. EUREC4A, 2017: A Field Campaign to Elucidate the Couplings Between Clouds, Convection and Circulation. Surv. Geophys., 38, 1529–1568, doi:10.1007/s10712-017-9428-0.\\ +    * Bony, S., Stevens, B., Ament, F. et al. EUREC4A, 2017: A Field Campaign to Elucidate the Couplings Between Clouds, Convection and Circulation. Surv. Geophys., 38, 1529–1568, doi:10.1007/s10712-017-9428-0. 
- +    * Ewald, F., Groß, S., Hagen, M., Hirsch, L., Delanoë, J., and Bauer-Pfundstein, M., 2019: [[https://doi.org/10.5194/amt-12-1815-2019|Calibration of a 35 GHz airborne cloud radar]]: lessons learned and intercomparisons with 94 GHz cloud radars, Atmos. Meas. Tech., 12, 1815–1839. 
-    * Ewald, F., Groß, S., Hagen, M., Hirsch, L., Delanoë, J., and Bauer-Pfundstein, M., 2019: [[https://doi.org/10.5194/amt-12-1815-2019|Calibration of a 35 GHz airborne cloud radar]]: lessons learned and intercomparisons with 94 GHz cloud radars, Atmos. Meas. Tech., 12, 1815–1839.\\ +    * Fan, J., Leung, L.R., Li, Z., Morrison, H., Chen, H., Zhou, Y., Qian, Y. and Wang, Y., 2012: Aerosol impacts on clouds and precipitation in eastern China: Results from bin and bulk microphysics. Journal of Geophysical Research: Atmospheres, 117(D16). 
- +    * Fridlind, A.M., van Lier-Walqui, M., Collis, S., Giangrande, S.E., Jackson, R.C., Li, X., Matsui, T., Orville, R., Picel, M.H., Rosenfield, D. and Ryzhkov, A., 2019: Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking. 
-    * Fan, J., Leung, L.R., Li, Z., Morrison, H., Chen, H., Zhou, Y., Qian, Y. and Wang, Y., 2012: Aerosol impacts on clouds and precipitation in eastern China: Results from bin and bulk microphysics. Journal of Geophysical Research: Atmospheres, 117(D16).\\ +    * ITU, 2016: Recommendation ITU-R P.676-11: Attenuation by atmospheric gases, International Telecommunications Union. 
- +    * Kneifel, S., Kulie, M. S., and Bennartz, R., 2011: A triple-frequency approach to retrieve microphysical snowfall parameters, Journal of Geophysical Research: Atmospheres, 116(D11), D11203. 
-    * Fridlind, A.M., van Lier-Walqui, M., Collis, S., Giangrande, S.E., Jackson, R.C., Li, X., Matsui, T., Orville, R., Picel, M.H., Rosenfield, D. and Ryzhkov, A., 2019: Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking.\\ +    * Morrison, H., Thompson, G. and Tatarskii, V., 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one-and two-moment schemes. Monthly weather review, 137(3), pp.991-1007. 
- +    * Morrison, H. and Milbrandt, J.A., 2015: Parameterization of cloud microphysics based on the prediction of bulk ice particle properties. Part I: Scheme description and idealized tests. Journal of the Atmospheric Sciences, 72(1), pp.287-311. 
-    * ITU, 2016: Recommendation ITU-R P.676-11: Attenuation by atmospheric gases, International Telecommunications Union.\\ +    * Oue, M., Tatarevic, A., Kollias, P., Wang, D., Yu, K. and Vogelmann, A. M., 2019:  The Cloud Resolving Model Radar Simulator (CR-SIM) Version 3.2: Description and Applications of a Virtual Observatory. Geosci Model Devel Discuss. 
- +    * Thompson, G., Field, P.R., Rasmussen, R.M. and Hall, W.D., 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Monthly Weather Review, 136(12), pp.5095-5115.
-    * Kneifel, S., Kulie, M. S., and Bennartz, R., 2011: A triple-frequency approach to retrieve microphysical snowfall parameters, Journal of Geophysical Research: Atmospheres, 116(D11), D11203.\\ +
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-    * Morrison, H., Thompson, G. and Tatarskii, V., 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one-and two-moment schemes. Monthly weather review, 137(3), pp.991-1007.\\ +
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-    * Morrison, H. and Milbrandt, J.A., 2015: Parameterization of cloud microphysics based on the prediction of bulk ice particle properties. Part I: Scheme description and idealized tests. Journal of the Atmospheric Sciences, 72(1), pp.287-311.\\ +
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-    * Oue, M., Tatarevic, A., Kollias, P., Wang, D., Yu, K. and Vogelmann, A. M., 2019:  The Cloud Resolving Model Radar Simulator (CR-SIM) Version 3.2: Description and Applications of a Virtual Observatory. Geosci Model Devel Discuss.\\ +
- +
-    * Thompson, G., Field, P.R., Rasmussen, R.M. and Hall, W.D., 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Monthly Weather Review, 136(12), pp.5095-5115.\\ +
     * Thompson, G. and Eidhammer, T., 2014: A study of aerosol impacts on clouds and precipitation development in a large winter cyclone. Journal of the atmospheric sciences, 71(10), pp.3636-3658.     * Thompson, G. and Eidhammer, T., 2014: A study of aerosol impacts on clouds and precipitation development in a large winter cyclone. Journal of the atmospheric sciences, 71(10), pp.3636-3658.
  
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