OPTIMice-close: Optimierte Kombination von polarimetrischen und Dreifrequenzradarmethoden zum verbesserten Verständnis der mikrophysikalischen Prozesse in kalten Wolken und dazugehörigen Regenfällen
Zusammenfassung der Projektergebnisse
The main objective of the OPTIMIce project was to improve our understanding and ability to realistically model ice microphysical processes, such as aggregation, riming, secondary ice processes, and melting. In order to achieve this ambitious goal, we needed to make progress and optimally combine the following three main work areas: 1) Obtain a synergistic dataset of triplefrequency radar, Doppler spectra, and polarimetric radar observations of mid-latitude winter clouds; 2) Further develop a radar forward operator in combination with realistic scattering assumptions for ice and snow particles; 3) Combine long-term numerical weather prediction model simulations and innovative 1D Lagrangian super-particle modelling in order to understand deficiencies identified by the radar observations in the bulk model and for developing improved parametrizations.
Projektbezogene Publikationen (Auswahl)
- Assessing the uncertainties of the Discrete Dipole Approximation in case of melting ice particles, J. Quant. Spectrosc. Radiat. Transfer, 217, 396-406
Ori, D., and S. Kneifel
(Siehe online unter https://doi.org/10.1016/j.jqsrt.2018.06.017) - The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation, Earth Syst. Sci. Data, 11, 845-863
Dias Neto, J., S. Kneifel, D. Ori, S. Trömel, J. Handwerker, B. Bohn, K. Mühlbauer, M. Lenefer, and C. Simmer
(Siehe online unter https://doi.org/10.5194/essd-11-845-2019) - Evaluation of ice particle growth in ICON using statistics of multi-frequency Doppler cloud radar observations, Q. J. Roy. Meteor. Soc., 146, 3830-3849
Ori, D., V. Schemann, M. Karrer, J. Dias Neto, L. von Terzi, A. Seifert, and S. Kneifel
(Siehe online unter https://doi.org/10.1002/qj.3875) - Ice Particle Properties inferred from Aggregation Modelling, Journal of Advances in Modeling Earth System, 12, e2020MS002066
Karrer, M., A. Seifert, C. Siewert, D. Ori, A. von Lerber, and S. Kneifel
(Siehe online unter https://doi.org/10.1029/2020MS002066) - Long-term statistics of riming in non-convective clouds derived from ground-based Doppler cloud radar observations, J. Atmos. Sci., 77, 3495-3508
Kneifel, S., and D. Moisseev
(Siehe online unter https://doi.org/10.1175/JAS-D-20-0007.1) - Scattering of Hydrometeors. In V. Levizzani, C. Kidd, D. B. Kirschbaum, C. D. Kummerow, K. Nakamura, and F. J. Turk (Ed.), Satellite Precipitation Measurement (Vol. 1), New York: Springer
Kneifel, S., J. Leinonen, J. Tyynelä, D. Ori, and A. Battaglia
(Siehe online unter https://dx.doi.org/10.1007/978-3-030-24568-9_15) - Improving the Representation of Aggregation in a Two-moment Microphysical Scheme with Statistics of Multi-frequency Doppler Radar Observations, Atmos. Chem. Phys., 21, 17133–17166
Karrer, M., A. Seifert, D. Ori, and S. Kneifel
(Siehe online unter https://doi.org/10.5194/acp-21-17133-2021) - snowScatt 1.0: Consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh-Gans Approximation, Geosci. Model Dev., 14, 1511-1531
Ori, D., L. von Terzi, M. Karrer, and S. Kneifel
(Siehe online unter https://doi.org/10.5194/gmd-14-1511-2021) - Ice microphysical processes in the dendritic growth layer: A statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations, Atmos. Chem. Phys., 22, 11795–11821
von Terzi, L., J. Dias Neto, D. Ori, A. Myagkov, and S. Kneifel
(Siehe online unter https://doi.org/10.5194/acp-2022-263) - Melting behavior of rimed and unrimed snowflakes investigated with statistics of Triple-frequency Doppler radar observations, J. Geophys. Res.: Atmos., 127
Karrer, M., J. Dias Neto, L. von Terzi, and S. Kneifel
(Siehe online unter https://doi.org/10.1029/2021JD035907)
