Articles | Volume 7, issue 9
https://doi.org/10.5194/amt-7-2919-2014
https://doi.org/10.5194/amt-7-2919-2014
Research article
 | 
12 Sep 2014
Research article |  | 12 Sep 2014

Impact of radar data assimilation for the simulation of a heavy rainfall case in central Italy using WRF–3DVAR

I. Maiello, R. Ferretti, S. Gentile, M. Montopoli, E. Picciotti, F. S. Marzano, and C. Faccani

Related authors

A meteorological–hydrological regional ensemble forecast for an early-warning system over small Apennine catchments in Central Italy
Rossella Ferretti, Annalina Lombardi, Barbara Tomassetti, Lorenzo Sangelantoni, Valentina Colaiuda, Vincenzo Mazzarella, Ida Maiello, Marco Verdecchia, and Gianluca Redaelli
Hydrol. Earth Syst. Sci., 24, 3135–3156, https://doi.org/10.5194/hess-24-3135-2020,https://doi.org/10.5194/hess-24-3135-2020, 2020
Short summary
Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign
Ida Maiello, Sabrina Gentile, Rossella Ferretti, Luca Baldini, Nicoletta Roberto, Errico Picciotti, Pier Paolo Alberoni, and Frank Silvio Marzano
Hydrol. Earth Syst. Sci., 21, 5459–5476, https://doi.org/10.5194/hess-21-5459-2017,https://doi.org/10.5194/hess-21-5459-2017, 2017
Short summary
Comparison between 3D-Var and 4D-Var data assimilation methods for the simulation of a heavy rainfall case in central Italy
Vincenzo Mazzarella, Ida Maiello, Vincenzo Capozzi, Giorgio Budillon, and Rossella Ferretti
Adv. Sci. Res., 14, 271–278, https://doi.org/10.5194/asr-14-271-2017,https://doi.org/10.5194/asr-14-271-2017, 2017
Short summary
Overview of the first HyMeX Special Observation Period over Italy: observations and model results
R. Ferretti, E. Pichelli, S. Gentile, I. Maiello, D. Cimini, S. Davolio, M. M. Miglietta, G. Panegrossi, L. Baldini, F. Pasi, F. S. Marzano, A. Zinzi, S. Mariani, M. Casaioli, G. Bartolini, N. Loglisci, A. Montani, C. Marsigli, A. Manzato, A. Pucillo, M. E. Ferrario, V. Colaiuda, and R. Rotunno
Hydrol. Earth Syst. Sci., 18, 1953–1977, https://doi.org/10.5194/hess-18-1953-2014,https://doi.org/10.5194/hess-18-1953-2014, 2014

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Solar background radiation temperature calibration of a pure rotational Raman lidar
Vasura Jayaweera, Robert J. Sica, Giovanni Martucci, and Alexander Haefele
Atmos. Meas. Tech., 18, 1461–1469, https://doi.org/10.5194/amt-18-1461-2025,https://doi.org/10.5194/amt-18-1461-2025, 2025
Short summary
Exploring commercial Global Navigation Satellite System (GNSS) radio occultation (RO) products for planetary boundary layer studies in the Arctic
Manisha Ganeshan, Dong L. Wu, Joseph A. Santanello, Jie Gong, Chi Ao, Panagiotis Vergados, and Kevin J. Nelson
Atmos. Meas. Tech., 18, 1389–1403, https://doi.org/10.5194/amt-18-1389-2025,https://doi.org/10.5194/amt-18-1389-2025, 2025
Short summary
Research on atmospheric temperature fine measurements from the near surface to 60 km altitude based on an integrated lidar system
Zhangjun Wang, Tiantian Guo, Xianxin Li, Chao Chen, Dong Liu, Luoyuan Qu, Hui Li, and Xiufen Wang
Atmos. Meas. Tech., 18, 1405–1414, https://doi.org/10.5194/amt-18-1405-2025,https://doi.org/10.5194/amt-18-1405-2025, 2025
Short summary
Testing ground-based observations of wave activity in the (lower and upper) atmosphere as possible (complementary) indicators of streamer events
Michal Kozubek, Lisa Kuchelbacher, Jaroslav Chum, Tereza Sindelarova, Franziska Trinkl, and Katerina Podolska
Atmos. Meas. Tech., 18, 1373–1388, https://doi.org/10.5194/amt-18-1373-2025,https://doi.org/10.5194/amt-18-1373-2025, 2025
Short summary
Quality assessment of YUNYAO radio occultation data in the neutral atmosphere
Xiaoze Xu, Wei Han, Jincheng Wang, Zhiqiu Gao, Fenghui Li, Yan Cheng, and Naifeng Fu
Atmos. Meas. Tech., 18, 1339–1353, https://doi.org/10.5194/amt-18-1339-2025,https://doi.org/10.5194/amt-18-1339-2025, 2025
Short summary

Cited articles

Barker, D. M., Huang, W., Guo, Y.-G., and Bourgeois, A.: A Three-Dimensional Variational (3DVAR) Data Assimilation System For Use With MM5, NCAR Tech. Note, NCAR/TN-453+STR, UCAR Communications, Boulder, CO, 68 pp., 2003.
Barker, D. M., Huang, W., Guo, Y.-R., Bourgeois, A., and Xiao, Q.: A Three-Dimensional Variational (3DVAR) Data Assimilation System For Use With MM5: Implementation and Initial Results, Mon. Weather Rev., 132, 897–914, 2004.
Bech, J., Codina, B., Lorente, J., and Bebbington, D.: The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient, J. Atmos. Oceanic Technol., 20, 845–855, 2003.
Chen, F. and Dudhia, J.: Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: Model description and implementation, Mon. Weather Rev., 129, 569–585, 2001
Chou M.-D. and Suarez, M. J.: An efficient thermal infrared radiation parameterization for use in general circulation models, NASA Tech. Memo, 104606, 3, 85 pp., 1994.
Download
Share