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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>9</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/acpd-9-13199-2009</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/9/13199/2009/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/9/13199/2009/acpd-9-13199-2009.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/9/13199/2009/acpd-9-13199-2009.pdf</fulltext_pdf>
	<start_page>13199</start_page>
	<end_page>13233</end_page>
	<publication_date>2009-06-16</publication_date>
	<article_title content_type="html">Technical Note: New trends in column-integrated atmospheric water vapor &amp;ndash;  Method to harmonize and match long-term records from the FTIR network to radiosonde characteristics</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>R. Sussmann</name>
			<email>ralf.sussmann@imk.fzk.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>T. Borsdorff</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Rettinger</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>C. Camy-Peyret</name>
		</author>
		<author numeration="5" affiliations="3">
			<name>P. Demoulin</name>
		</author>
		<author numeration="6" affiliations="3">
			<name>P. Duchatelet</name>
		</author>
		<author numeration="7" affiliations="3">
			<name>E. Mahieu</name>
		</author>
		<author numeration="8" affiliations="3">
			<name>C. Servais</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Research Center Karlsruhe, IMK-IFU, Garmisch-Partenkirchen, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Laboratoire de Physique MolÃ©culaire pour l&apos;AtmosphÃ¨re et l&apos;Astrophysique (LPMAA), CNRS/UPMC/IPSL, Paris, France</affiliation>
		<affiliation numeration="3" content_type="html">Institute of Astrophysics and Geophysics, University of LiÃ¨ge, LiÃ¨ge, Belgium</affiliation>
	</affiliations>
	<abstract content_type="html">We present a method for harmonized retrieval of integrated water vapor
      (IWV) trends from existing, long-term, measurement records at the
      ground-based mid-infrared solar FTIR spectrometry stations of the
      Network for the Detection of Atmospheric Composition Change
      (NDACC). Correlation of IWV from FTIR with radiosondes shows an ideal
      slope of 1.00(3). This optimum matching is achieved via tuning one
      FTIR retrieval parameter, i.e., the strength of a Tikhonov
      regularization constraining the derivative (with respect to height) of
      retrieved water profiles given in per cent difference relative to an
      a priori profile. All other FTIR-sonde correlation parameters
      (intercept =0.02(12) mm, bias =0.02(5) mm,
      standard deviation of coincident IWV differences
      (&lt;i&gt;stdv&lt;/i&gt;)=0.27 mm, &lt;i&gt;R&lt;/i&gt;=0.99) are
      comparable to or better than results for all other ground-based IWV
      sounding techniques given in the literature. An FTIR-FTIR side-by-side
      intercomparison reveals a strong exponential increase in &lt;i&gt;stdv&lt;/i&gt;
      as a function of increasing temporal mismatch starting at &amp;Delta;&lt;i&gt;t&lt;/i&gt;
      ~1 min. This is due to atmospheric water vapor
      variability. Based on this result we derive an upper limit for the
      precision of the FTIR IWV retrieval for the smallest &amp;Delta;&lt;i&gt;t&lt;/i&gt;(=3.75 min) still giving a statistically sufficient sample (32
      coincidences), i.e., precision (IWV&lt;sub&gt;FTIR&lt;/sub&gt;)&amp;lt;0.05 mm
      (or 2.2% of the mean IWV). The bias of the IWV retrievals from the
      two different FTIR instruments is nearly negligible
      (0.02(1) mm). The optimized FTIR IWV retrieval is set up in
      the standard NDACC algorithm SFIT 2 without changes to the
      code. A concept for harmonized transfer of the retrieval between
      different stations deals with all relevant control parameters; it
      includes correction for differing spectral point spacings (via
      regularization strength), and final quality selection of the
      retrievals (excluding the highest residuals (measurement minus model),
      5% of the total).
&lt;br&gt;&lt;br&gt;
      The method is demonstrated via IWV trend analysis from the FTIR
      records at the Zugspitze (47.4&amp;deg; N, 11.0&amp;deg; E,
      2964 m a.s.l.) and Jungfraujoch (46.5&amp;deg; N,
      8.0&amp;deg; E, 3580 m a.s.l.) NDACC stations. Trend
      analysis comprises a linear fit after subtracting an intra-annual
      model (3 Fourier components) and constructing an uncertainty interval
      (95% confidence) via bootstrap resampling. For the Zugspitze
      a significant trend of 0.79 (0.65, 0.92) mm/decade is found
      for the time interval (1996â€“2008). There is a significantly increased
      trend of 1.41 (1.14, 1.69) mm/decade in the second part of the
      time series (2003â€“2008) compared to 0.63 (0.20,
      1.06) mm/decade in the first part (1996â€“2002). For the
      Jungfraujoch no significant trend is found in any of the periods
      (1988â€“2008), (1996â€“2008), (1996â€“2002), or (2003â€“2008). The results
      imply either an altitude dependency with a significantly higher trend
      below 3.58 km than above, and/or strong, regional variations
      of IWV trends on the scale of ~250 km. This is in
      line with a widespread, complex, IWV trend picture over Eurasia during
      the last decades. Our paper provides a basis for future exploitation
      of more than a dozen existing, multi-decadal FTIR measurement records
      around the globe for joint IWV trend studies within NDACC that
      complement existing trend data sets which are based primarily on
      radiosondes.</abstract>
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