EARLINET APPROACH TO OPTIMISATION OF INDIVIDUAL NETWORK INSTRUMENTS
WITH THE AIM OF HOMOGENISATION OF AEROSOL DATA PRODUCTS AND
INCREASED DATA COVERAGE
Arnoud Apituley
*
(RIVM, Bilthoven, The Netherlands)
Volker Freudenthaler (University of Munich, Germany)
Adolfo Comerón, Francesc Rocadenbosch (Universitat Politècnica de Catalunya (UPC, Barcelona,
Spain)
*
RIVM – National Institute for Public Health and the Environment, P.O. Box 1, NL3720BA Bilthoven, The Netherlands.
Email: Arnoud.Apituley@rivm.nl.
ABSTRACT
The European Aerosol Research LIdar NETwork
(EARLINET) is an aerosol lidar network on a continental
scale. EARLINET is now a leading network in quality-
controlled quantitative aerosol profiling performing a
schedule of routine measurements and presently consists of
28 stations distributed over Europe. The construction of an
un-biased spatio-temporal database of vertical profiles of
aerosol optical properties on a regional scale for climate and
air quality research is the main objective of EARLINET and
is accomplished through application of Raman lidars. One
of the tasks in the EC-funded project EARLINET-ASOS is
to optimize individual instruments with the aim of homog-
enization of aerosol data products over the network and in-
creased data coverage by automation. This task is ap-
proached by selection of optimal solutions existing in the
pool of individual stations. This is done for components,
subsystems as well as for system integration. In system inte-
gration emphasis lies on automation to reduce the amount of
manpower needed, to improve temporal coverage, and to
make performance independent from individual operators.
The procedure to perform these tasks is outlined and the set
of tools enabling the assessment of performance under de-
velopment is described.
Index Terms— Lidar, network, aerosol, harmonization,
automation
1. INTRODUCTION
Among the factors causing the largest uncertainties in the
understanding of climatic change are aerosols and cloud
feedback mechanisms involving the role of aerosols. This is
due to the variable nature in space and time of the aerosols,
that are relatively short-lived atmospheric species, but can
still be distributed over large distances when the conditions
are right. Aerosols and their climatic impact are therefore
much more difficult to catch in atmospheric models than
long-lived greenhouse gases such as carbondioxide. Better
knowledge of the spatio-temporal distrubution of aerosols is
critically needed to better assess their role in climate change
[1].
The European Aerosol Research LIdar NETwork
(EARLINET) started in 2000 under the EC 5th Framework
Program. The network presently consists of 28 stations dis-
tributed over Europe (from Norway to Spain and from Ire-
land to Georgia). The construction of an un-biased spatio-
temporal database of vertical profiles of aerosol optical
properties on a regional scale for climate and air quality
research is the main objective of EARLINET. This cannot
be accomplished by backscatter lidars since these do not
provide quantitative optical aerosol data without critical
assumptions. Therefore, EARLINET aims to apply mainly
Raman lidars that are quantitative.
The increasing number of participating stations illustrate
the success of this initiative. However, in order to build the
aerosol database, rigorous quality assurance is needed and
also homogeneous data quality is desired so that the network
can be used truly as a single instrument. Most stations in the
network have lidars that were not series-produced and con-
sequently these instruments have differences in set-up and
construction. Consequently, the performance of the individ-
ual instruments may be different, for instance with respect to
the altitude range covered or the number of operating wave-
lengths.
From 2006 until 2011, the network’s development is
supported by the EC-project EARLINET– ASOS (Ad-
vanced Sustainable Observation System). The main objec-
tive of this Coordination Action is to improve the
EARLINET infrastructure for better spatial and temporal
coverage of the observations, continuous quality control for
the complete observation system, and fast delivery of stan-
dardized data products. One of the tasks in EARLINET-
ASOS is to optimize individual instruments with the aim of
homogenization of aerosol data products over the network
and increased data coverage by automation.
This will be accomplished by selecting the optimal ap-
proach from the various solutions existing at individual sta-
tions for components and subsystems as well as for system
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