This is the metadata for: MUMBA_LIDAR_2012-12-18_2013-02-14 (doi:10.1594/PANGAEA.871992)


Measurement: Boundary layer height (BLH) derived from elastic backscatter measurements at 355nm (LIDAR)
Instrument: Leosphere ALS-450
Owner: ANSTO
Campaign: MUMBA
Location: Main measurement site - Nissan Hut Kids Campus / Campus East, Wollongong (-34.3972, 150.8996)
Dates of operation: 21-Dec-2012 to 14-Feb-2013
Original measurement time resolution: 30 seconds
Averaging time: 20 minutes
Units: m

Inlet/Installation detail (inc. flow rate if relevant):  
Data/sample collection detail: 15 m vertical resolution from about 200m-20km above ground level 
Data/sample analysis detail (inc. references if needed): The BLH was retrieved from the lidar data by two methods. The first involved a trained operator determining BLH from gradients in vertical profiles, the second used the automatic STRAT algorithm (Morille et al 2007)
Calibration: No in situ calibration (distance is computed from elapsed time)
Precision: 15 m, based on vertical resolution
Accuracy: Highly dependent on ambient conditions, boundary layer heights 

Issues: none reported 
Corrections: a correction for optical overlap applies near the ground (below ~300m). A single correction is applied to the full measurement period, even though the optical overlap is not completely stable with time.
Uncertainty: Possible high bias, especially at night, due to inability of lidar to detect boundary layers <200m
Detection Limit: about 200m above ground level, depending on the strengh of aerosol backscatter 

Missing data reported as empty fields


File headers:
date 		yyyy-mm-ddTHH:MM:SSz
Primary layer (m)		height, in meters above ground level, of the primary layer retrieved through manual vertical profile retrievals 
Confidence in primary layer retrieval	indicative of the confidence the manual operator has in the retrieved primary layer: 1 - high confidence, 2 - uncertain, 3- no retrieval/data gap  
Secondary layer (m)		height, in meters above ground level, of the secondary layer retrieved through manual vertical profile retrievals 
STRAT_cloud_base_height (m)	height, in meters above ground level, of the cloud base as determined using the STRAT algorithm 
STRAT_MDL.low (m)		height, in meters above ground, of the lowest layer detected using the STRAT algorithm
STRAT_MDL.1 (m)		height, in meters above ground, of the strongest layer detected using the STRAT algorithm
STRAT_MDL.2 (m)		height, in meters above ground, of the second strongest layer detected using the STRAT algorithm 


Contact(s):
Jack Simmons js828@uowmail.edu.au 
Alan Griffiths alan.griffiths@ansto.gov.au 

References
Morille, Y., M. Haeffelin, P. Drobinski and J. Pelon (2007). "STRAT: An Automated Algorithm to Retrieve the Vertical Structure of the Atmosphere from Single-Channel Lidar Data." Journal of Atmospheric and Oceanic Technology 24(5): 761-775,  doi: 10.1175/JTECH2008.1.