Characterization of Complex Water Vapour Field Structures and their Genesis Based on the Combined use of Raman Lidar Measurements and MESO-NH Model Simulations

Paolo Di Girolamo; Marie-Noelle Bouin

doi:10.1051/epjconf/202023703007

All issues

Volume 237 (2020)

EPJ Web Conf., 237 (2020) 03007

References

Open Access

Issue		EPJ Web Conf. Volume 237, 2020 The 29^th International Laser Radar Conference (ILRC 29)


Article Number		03007
Number of page(s)		4
Section		Boundary Layer, Pollution, Greenhouse and Trace Gases
DOI		https://doi.org/10.1051/epjconf/202023703007
Published online		07 July 2020

P. Drobinski et al., HyMeX, a 10-year multidisciplinary program on the Mediterranean water cycle, Bull. Am. Meteorol. Soc. 95: 1063–1082, doi: 10.1175/BAMS-D-12-00242.1 (2014). [CrossRef] [Google Scholar]
V. Ducrocq et al., HyMeX-SOP1, the field campaign dedicated to heavy precipitation and flash-flooding in northwestern Mediterranean, Bull. Am. Meteorol. Soc. 95: 1083–1100, doi: 10.1175/BAMS-D-12-00244.1 (2014). [CrossRef] [Google Scholar]
F. Duffourg et al., Offshore deep convection initiation and maintenance during HyMeX IOP 16a heavy precipitation event, Quarterly Journal of the Royal Meteorological Society 142 (Suppl 1): 259–274, doi: 10.1002/qj.2725 (2016). [CrossRef] [Google Scholar]
Di Girolamo et al., Rotational Raman lidar measurements of atmospheric temperature in theUV, Geophys. Res. Lett. 31: L01106, doi: 10.1029/2003GL018342 (2004). [CrossRef] [Google Scholar]
Di Girolamo P, Behrendt A, Wulfmeyer V., Spaceborne profiling of atmospheric temperature and particle extinction with pure rotational Raman lidar and of relative humidity in combination with differential absorption lidar: performance simulations, Appl. Opt. 45: 2474–2494, doi: 10.1364/AO.45.002474 (2006). [CrossRef] [PubMed] [Google Scholar]
P. Di Girolamo et al., Multiparameter Raman lidar measurements for the characterization of a dry stratospheric intrusion event, J. Atmos. Oceanic Technol. 26: 1742–1762, doi: 10.1175/2009JTECHA1253.1 (2009). [CrossRef] [Google Scholar]
Bhawar et al., The water vapour intercomparison effort in the framework of the Convective and Orographically-induced Precipitation Study: Airborne-to-ground-based and airborne-to-airborne lidar systems, Q. J. R. Meteorol. Soc. 137: 325–348, doi: 10.1002/qj.697 (2011). [CrossRef] [Google Scholar]
V. Griaznov et al., Spatial Distribution of Doubly Scattered Polarized Laser Radiation in the Focal Plane of a Lidar Receiver, Applied Optics 46, 6821-6830, doi: 10.1364/AO.46.006821 (2007). [CrossRef] [PubMed] [Google Scholar]
P. Di Girolamo et al., UV Raman Lidar measurements of relative humidity for the characterization of cirrus cloud microphysical properties, Atmospheric ChemistrY and Physics 9, 8799-8811, doi: 10.5194/acp-9-8799-2009 (2009). [CrossRef] [Google Scholar]
P. Di Girolamo et al., Raman Lidar observations of a Saharan dust outbreak event: Characterization of the dust optical properties and determination of particle size and microphysical parameters, Atmospheric Environment 50, 66-78 (2012). [CrossRef] [Google Scholar]
P. Di Girolamo et al., Lidar and radar measurements of the melting layer: observations of dark and bright band phenomena, Atmospheric Chemistry and Physics 12, 4143-4157, doi: 10.5194/acp-12-4143-2012 (2012). [CrossRef] [Google Scholar]
P. Di Girolamo et al., Model simulations of melting hydrometeors: a new Lidar bright band from melting frozen drops, Geophysical Research Letters 30, doi: 10.1029/2002GL016825 (2003). [CrossRef] [Google Scholar]
V. Griaznov et al., Numerical Simulation of Light Backscattering by Spheres With Off-Center Inclusion. Application for Lidar Case, Applied Optics 43, 5512-5522, doi: 10.1364/AO.43.005512. [CrossRef] [Google Scholar]
Draxler, R. R and Hess, G. D.: An overview of the HYSPLIT_4 modeling system for trajectories, dispersion and deposition, Australian Meteorological Magazine 47(4), 295–308 (1998). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

[1] P. Drobinski et al., HyMeX, a 10-year multidisciplinary program on the Mediterranean water cycle, Bull. Am. Meteorol. Soc. 95: 1063–1082, doi: 10.1175/BAMS-D-12-00242.1 (2014). [CrossRef] [Google Scholar]

[2] V. Ducrocq et al., HyMeX-SOP1, the field campaign dedicated to heavy precipitation and flash-flooding in northwestern Mediterranean, Bull. Am. Meteorol. Soc. 95: 1083–1100, doi: 10.1175/BAMS-D-12-00244.1 (2014). [CrossRef] [Google Scholar]

[3] F. Duffourg et al., Offshore deep convection initiation and maintenance during HyMeX IOP 16a heavy precipitation event, Quarterly Journal of the Royal Meteorological Society 142 (Suppl 1): 259–274, doi: 10.1002/qj.2725 (2016). [CrossRef] [Google Scholar]

[4] Di Girolamo et al., Rotational Raman lidar measurements of atmospheric temperature in theUV, Geophys. Res. Lett. 31: L01106, doi: 10.1029/2003GL018342 (2004). [CrossRef] [Google Scholar]

[5] Di Girolamo P, Behrendt A, Wulfmeyer V., Spaceborne profiling of atmospheric temperature and particle extinction with pure rotational Raman lidar and of relative humidity in combination with differential absorption lidar: performance simulations, Appl. Opt. 45: 2474–2494, doi: 10.1364/AO.45.002474 (2006). [CrossRef] [PubMed] [Google Scholar]

[6] P. Di Girolamo et al., Multiparameter Raman lidar measurements for the characterization of a dry stratospheric intrusion event, J. Atmos. Oceanic Technol. 26: 1742–1762, doi: 10.1175/2009JTECHA1253.1 (2009). [CrossRef] [Google Scholar]

[7] Bhawar et al., The water vapour intercomparison effort in the framework of the Convective and Orographically-induced Precipitation Study: Airborne-to-ground-based and airborne-to-airborne lidar systems, Q. J. R. Meteorol. Soc. 137: 325–348, doi: 10.1002/qj.697 (2011). [CrossRef] [Google Scholar]

[8] V. Griaznov et al., Spatial Distribution of Doubly Scattered Polarized Laser Radiation in the Focal Plane of a Lidar Receiver, Applied Optics 46, 6821-6830, doi: 10.1364/AO.46.006821 (2007). [CrossRef] [PubMed] [Google Scholar]

[9] P. Di Girolamo et al., UV Raman Lidar measurements of relative humidity for the characterization of cirrus cloud microphysical properties, Atmospheric ChemistrY and Physics 9, 8799-8811, doi: 10.5194/acp-9-8799-2009 (2009). [CrossRef] [Google Scholar]

[10] P. Di Girolamo et al., Raman Lidar observations of a Saharan dust outbreak event: Characterization of the dust optical properties and determination of particle size and microphysical parameters, Atmospheric Environment 50, 66-78 (2012). [CrossRef] [Google Scholar]

[11] P. Di Girolamo et al., Lidar and radar measurements of the melting layer: observations of dark and bright band phenomena, Atmospheric Chemistry and Physics 12, 4143-4157, doi: 10.5194/acp-12-4143-2012 (2012). [CrossRef] [Google Scholar]

[12] P. Di Girolamo et al., Model simulations of melting hydrometeors: a new Lidar bright band from melting frozen drops, Geophysical Research Letters 30, doi: 10.1029/2002GL016825 (2003). [CrossRef] [Google Scholar]

[13] V. Griaznov et al., Numerical Simulation of Light Backscattering by Spheres With Off-Center Inclusion. Application for Lidar Case, Applied Optics 43, 5512-5522, doi: 10.1364/AO.43.005512. [CrossRef] [Google Scholar]

[14] Draxler, R. R and Hess, G. D.: An overview of the HYSPLIT_4 modeling system for trajectories, dispersion and deposition, Australian Meteorological Magazine 47(4), 295–308 (1998). [Google Scholar]