Next Article in Journal
Some Insights on Grassland Health Assessment Based on Remote Sensing
Next Article in Special Issue
Estimation of Soil Moisture Content from the Spectral Reflectance of Bare Soils in the 0.4–2.5 µm Domain
Previous Article in Journal
Spatial and Temporal Characteristics of Insulator Contaminations Revealed by Daily Observations of Equivalent Salt Deposit Density
Previous Article in Special Issue
Memory and Energy Optimization Strategies for Multithreaded Operating System on the Resource-Constrained Wireless Sensor Node
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(2), 3041-3069; doi:10.3390/s150203041

LIDAR Developments at Clermont-Ferrand—France for Atmospheric Observation

1
Observatoire de Physique du Globe de Clermont-Ferrand, Université Blaise Pascal, 24 av. des Landais, BP80026, Aubière Cedex 63171, France
2
Laboratoire de Météorologie Physique–UMR 6016, Université Blaise Pascal, CNRS, 24 av. des Landais, BP 80026, Aubière Cedex 63171, France
3
Institut Pascal—UMR 6602, Université Blaise Pascal, CNRS, 24 av. des Landais, BP 80026, Aubière Cedex 63171, France
4
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne 1530, Switzerland
5
Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale Delle Ricerche, Roma 00133, Italy
6
Observatoire de Sciences de l'Univers-Réunion, UMS 3365, CNRS, Université de la Réunion, Saint Denis de la Réunion 97744, France
*
Author to whom correspondence should be addressed.
Received: 21 November 2014 / Accepted: 22 January 2015 / Published: 29 January 2015
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in France)
View Full-Text   |   Download PDF [3802 KB, uploaded 2 February 2015]   |  

Abstract

We present a Rayleigh-Mie-Raman LIDAR system in operation at Clermont-Ferrand (France) since 2008. The system provides continuous vertical tropospheric profiles of aerosols, cirrus optical properties and water vapour mixing ratio. Located in proximity to the high altitude Puy de Dôme station, labelled as the GAW global station PUY since August 2014, it is a useful tool to describe the boundary layer dynamics and hence interpret in situ measurements. This LIDAR has been upgraded with specific hardware/software developments and laboratory calibrations in order to improve the quality of the profiles, calibrate the depolarization ratio, and increase the automation of operation. As a result, we provide a climatological water vapour profile analysis for the 2009–2013 period, showing an annual cycle with a winter minimum and a summer maximum, consistent with in-situ observations at the PUY station. An overview of a preliminary climatology of cirrus clouds frequency shows that in 2014, more than 30% of days present cirrus events. Finally, the backscatter coefficient profile observed on 27 September 2014 shows the capacity of the system to detect cirrus clouds at 13 km altitude, in presence of aerosols below the 5 km altitude. View Full-Text
Keywords: atmospheric remote sensing measurements; LIDAR; automation; water vapour; aerosols and cirrus vertical profiles atmospheric remote sensing measurements; LIDAR; automation; water vapour; aerosols and cirrus vertical profiles
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Fréville, P.; Montoux, N.; Baray, J.-L.; Chauvigné, A.; Réveret, F.; Hervo, M.; Dionisi, D.; Payen, G.; Sellegri, K. LIDAR Developments at Clermont-Ferrand—France for Atmospheric Observation. Sensors 2015, 15, 3041-3069.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top