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<article language="en">
	<journal>
		<journal_title>Atmospheric Measurement Techniques Discussions</journal_title>
		<journal_url>www.atmos-meas-tech-discuss.net</journal_url>
		<eissn>1867-8610</eissn>
		<volume_number>3</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/amtd-3-3643-2010</doi>
	<article_url>http://www.atmos-meas-tech-discuss.net/3/3643/2010/</article_url>
	<abstract_html>http://www.atmos-meas-tech-discuss.net/3/3643/2010/amtd-3-3643-2010.html</abstract_html>
	<fulltext_pdf>http://www.atmos-meas-tech-discuss.net/3/3643/2010/amtd-3-3643-2010.pdf</fulltext_pdf>
	<start_page>3643</start_page>
	<end_page>3673</end_page>
	<publication_date>2010-08-23</publication_date>
	<article_title content_type="html">Aerosol profiling using the ceilometer network of the German Meteorological Service</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>H. Flentje</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>B. Heese</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>J. Reichardt</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>W. Thomas</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeissenberg, Albin-Schwaiger-Weg 10, 82383 Hohenpeissenberg, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Institut fÃ¼r TroposphÃ¤renforschung, Permoserstr. 15, 03411 Leipzig, Germany</affiliation>
		<affiliation numeration="3" content_type="html">Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, 15848 Tauche, OT Lindenberg, Am Observatorium 12, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">The German Meteorological Service (DWD) operates about 52 lidar ceilometers
within its synoptic observations network, covering Germany. These affordable
low-power lidar systems provide spatially and temporally high resolved
aerosol backscatter profiles which can operationally provide quasi 3-D
distributions of particle backscatter intensity. Intentionally designed for
cloud height detection, recent significant improvements allow following the
development of the boundary layer and to detect denser particle plumes in the
free tropospere like volcanic ash, Saharan dust or fire smoke. Thus the
network builds a powerful aerosol plume alerting and tracking system. If
auxiliary aerosol information is available, the particle backscatter
coefficient, the extinction coefficient and even particle mass concentrations
may be estimated, with however large uncertainties. Therefore, large
synergistic benefit is achieved if the ceilometers are linked to existing
lidar networks like EARLINET or integrated into WMO&apos;s envisioined Global
Aerosol Lidar Observation Network GALION. To this end, we demonstrate the
potential and limitations of ceilometer networks by means of three
representative aerosol episodes over Europe, namely Sahara dust,
Mediterranean fire smoke and, more detailed, the Icelandic Eyjafjoll volcano
eruption from mid April 2010 onwards. The DWD (Jenoptik CHM15k) lidar
ceilometer network tracked the Eyjafjoll ash layers over Germany and roughly
estimated peak extinction coefficients and mass concentrations on 17 April of
4â€“6(Â± 2) 10&lt;sup&gt;-4&lt;/sup&gt; m&lt;sup&gt;âˆ’1&lt;/sup&gt; and
500â€“750(Â± 300) Î¼g/m&lt;sup&gt;âˆ’3&lt;/sup&gt;, respectively, based on co-located
aerosol optical depth, nephelometer (scattering coefficient) and particle
mass concentration measurements. Though large, the uncertainties are small
enough to let the network suit for example as aviation advisory tool,
indicating whether the legal flight ban threshold of presently 2 mg/m&lt;sup&gt;3&lt;/sup&gt;
is imminent to be exceeded.</abstract>
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</article>

