Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-535-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-535-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Multi-sensor analysis of convective activity in central Italy during the HyMeX SOP 1.1
N. Roberto
CORRESPONDING AUTHOR
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
E. Adirosi
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
L. Baldini
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
D. Casella
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
S. Dietrich
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
P. Gatlin
NASA Marshall Space Flight Center, Huntsville, AL, USA
G. Panegrossi
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
M. Petracca
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
Department of Physics, University of Ferrara, Ferrara, Italy
CNR – Istituto di Scienze dell'Atmosfera e del Clima, Rome, Italy
A. Tokay
Joint Center for Earth Systems Technology, University of Maryland Baltimore
County, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
19 citations as recorded by crossref.
- Observational analysis of an exceptionally intense hailstorm over the Mediterranean area: Role of the GPM Core Observatory A. Marra et al. 10.1016/j.atmosres.2017.03.019
- Identification and Characterization of an Anomaly in Two-Dimensional Video Disdrometer Data M. Larsen & M. Schönhuber 10.3390/atmos9080315
- An Automatic Rainfall‐Type Classification Algorithm Combining Diverse 3‐D Features of Radar Echoes B. Lei et al. 10.1029/2019EA000796
- Investigation of Weather Radar Quantitative Precipitation Estimation Methodologies in Complex Orography M. Montopoli et al. 10.3390/atmos8020034
- Influence of Disdrometer Type on Weather Radar Algorithms from Measured DSD: Application to Italian Climatology E. Adirosi et al. 10.3390/atmos9090360
- Modelling hail hazard over Italy with ERA5 large-scale variables V. Torralba et al. 10.1016/j.wace.2022.100535
- Multi-Sensor Data Analysis of an Intense Weather Event: The July 2021 Lake Como Case Study A. Mascitelli et al. 10.3390/w14233916
- Dynamical forcings in heavy precipitation events over Italy: lessons from the HyMeX SOP1 campaign M. Miglietta & S. Davolio 10.5194/hess-26-627-2022
- Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach N. Besic et al. 10.5194/amt-9-4425-2016
- Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign I. Maiello et al. 10.5194/hess-21-5459-2017
- Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar M. Buiat et al. 10.5194/amt-10-221-2017
- A Support Vector Machine Hydrometeor Classification Algorithm for Dual-Polarization Radar N. Roberto et al. 10.3390/atmos8080134
- A 13-year long strokes statistical analysis over the Central Mediterranean area M. Petracca et al. 10.1016/j.atmosres.2024.107368
- Investigating ground-based radar and spaceborne infrared radiometer synergy for lightning areal prediction in complex orography M. Montopoli et al. 10.1007/s42865-020-00013-6
- On the association between lightning and precipitation microphysics C. Chatterjee & S. Das 10.1016/j.jastp.2020.105350
- Digitalization of Cross‐Country Skiing Training Based on Multisensor Combination X. Li et al. 10.1155/2021/5662716
- Multi-Variable Classification Approach for the Detection of Lightning Activity Using a Low-Cost and Portable X Band Radar V. Capozzi et al. 10.3390/rs10111797
- RAINBOW: An Operational Oriented Combined IR-Algorithm L. D’Adderio et al. 10.3390/rs12152444
- Refinements to Data Acquired by 2-Dimensional Video Disdrometers M. Larsen & C. Blouin 10.3390/atmos11080855
19 citations as recorded by crossref.
- Observational analysis of an exceptionally intense hailstorm over the Mediterranean area: Role of the GPM Core Observatory A. Marra et al. 10.1016/j.atmosres.2017.03.019
- Identification and Characterization of an Anomaly in Two-Dimensional Video Disdrometer Data M. Larsen & M. Schönhuber 10.3390/atmos9080315
- An Automatic Rainfall‐Type Classification Algorithm Combining Diverse 3‐D Features of Radar Echoes B. Lei et al. 10.1029/2019EA000796
- Investigation of Weather Radar Quantitative Precipitation Estimation Methodologies in Complex Orography M. Montopoli et al. 10.3390/atmos8020034
- Influence of Disdrometer Type on Weather Radar Algorithms from Measured DSD: Application to Italian Climatology E. Adirosi et al. 10.3390/atmos9090360
- Modelling hail hazard over Italy with ERA5 large-scale variables V. Torralba et al. 10.1016/j.wace.2022.100535
- Multi-Sensor Data Analysis of an Intense Weather Event: The July 2021 Lake Como Case Study A. Mascitelli et al. 10.3390/w14233916
- Dynamical forcings in heavy precipitation events over Italy: lessons from the HyMeX SOP1 campaign M. Miglietta & S. Davolio 10.5194/hess-26-627-2022
- Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach N. Besic et al. 10.5194/amt-9-4425-2016
- Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign I. Maiello et al. 10.5194/hess-21-5459-2017
- Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar M. Buiat et al. 10.5194/amt-10-221-2017
- A Support Vector Machine Hydrometeor Classification Algorithm for Dual-Polarization Radar N. Roberto et al. 10.3390/atmos8080134
- A 13-year long strokes statistical analysis over the Central Mediterranean area M. Petracca et al. 10.1016/j.atmosres.2024.107368
- Investigating ground-based radar and spaceborne infrared radiometer synergy for lightning areal prediction in complex orography M. Montopoli et al. 10.1007/s42865-020-00013-6
- On the association between lightning and precipitation microphysics C. Chatterjee & S. Das 10.1016/j.jastp.2020.105350
- Digitalization of Cross‐Country Skiing Training Based on Multisensor Combination X. Li et al. 10.1155/2021/5662716
- Multi-Variable Classification Approach for the Detection of Lightning Activity Using a Low-Cost and Portable X Band Radar V. Capozzi et al. 10.3390/rs10111797
- RAINBOW: An Operational Oriented Combined IR-Algorithm L. D’Adderio et al. 10.3390/rs12152444
- Refinements to Data Acquired by 2-Dimensional Video Disdrometers M. Larsen & C. Blouin 10.3390/atmos11080855
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
This study examines various microphysical properties of liquid and solid hydrometeors to investigate their relationship with lightning activity. Measurements were collected from the Polar 55C dual-polarization radar, a 2-DVD, and LINET. From the analysis of three significant case studies, linear relations between the total mass of graupel and the number of strokes were found. Results point out the key role of ice mass in determining the electrical charging of convective clouds.
This study examines various microphysical properties of liquid and solid hydrometeors to...