Lidar and radar measurements of the melting layer: Observations of dark and bright band phenomena

by P. Di Girolamo, D. Summa, M. Cacciani, E. G. Norton, G. Peters, Y. Dufournet
Atmospheric Chemistry and Physics ()
Get full text at journal

Abstract

Multi-wavelength lidar measurements in the melt- ing layer revealing the presence of dark and bright bands have been performed by the University of BASILicata Ra- man lidar system (BASIL) during a stratiform rain event. Si- multaneously radar measurements have been also performed from the same site by the University of Hamburg cloud radar MIRA 36 (35.5 GHz), the University of Hamburg dual- polarization micro rain radar (24.15GHz) and the Univer- sity of Manchester UHF wind profiler (1.29 GHz). Measure- ments from BASIL and the radars are illustrated and dis- cussed in this paper for a specific case study on 23 July 2007 during the Convective and Orographically-induced Pre- cipitation Study (COPS). Simulations of the lidar dark and bright band based on the application of concentric/eccentric sphere Lorentz-Mie codes and a melting layer model are also provided. Lidar and radar measurements and model results are also compared with measurements from a disdrometer on ground and a two-dimensional cloud (2DC) probe on- board the ATR42 SAFIRE. Measurements and model results are found to confirm and support the conceptual microphys- ical/scattering model elaborated by Sassen et al. (2005).

Cite this document (BETA)

Readership Statistics

16 Readers on Mendeley
by Discipline
 
69% Earth and Planetary Sciences
 
25% Physics and Astronomy
 
6% Environmental Science
by Academic Status
 
38% Researcher
 
31% Student > Ph. D. Student
 
19% Professor > Associate Professor
by Country
 
6% Australia
 
6% Brazil

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Sign up & Download

Already have an account? Sign in