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<article language="en">
	<journal>
		<journal_title>Atmospheric Measurement Techniques</journal_title>
		<journal_url>www.atmos-meas-tech.net</journal_url>
		<issn>1867-1381</issn>
		<eissn>1867-8548</eissn>
		<volume_number>3</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/amt-3-323-2010</doi>
	<article_url>http://www.atmos-meas-tech.net/3/323/2010/</article_url>
	<abstract_html>http://www.atmos-meas-tech.net/3/323/2010/amt-3-323-2010.html</abstract_html>
	<fulltext_pdf>http://www.atmos-meas-tech.net/3/323/2010/amt-3-323-2010.pdf</fulltext_pdf>
	<start_page>323</start_page>
	<end_page>338</end_page>
	<publication_date>2010-03-03</publication_date>
	<article_title content_type="html">Continuous quality assessment of atmospheric water vapour measurement  techniques: FTIR, Cimel, MFRSR, GPS, and Vaisala RS92</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>M. Schneider</name>
			<email>matthias.schneider@kit.edu</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>P. M. Romero</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>F. Hase</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>T. Blumenstock</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>E. Cuevas</name>
		</author>
		<author numeration="6" affiliations="2">
			<name>R. Ramos</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Centro de Investigación Atmosférica de Izaña, Agencia Estatal de  Meteorología, Spain</affiliation>
	</affiliations>
	<abstract content_type="html">At the Izaña Observatory, water vapour amounts have been
measured routinely by different techniques for many years. We
intercompare the total precipitable water vapour (PWV) amounts
measured between 2005 and 2009 by a Fourier Transform Infrared
(FTIR) spectrometer, a Multifilter Rotating Shadow-band Radiometer
(MFRSR), a Cimel sunphotometer, a Global Positioning System (GPS)
receiver, and daily radiosondes (Vaisala RS92).
The long-term characteristics of our study allows
a reliable and extensive empirical quality assessment of
long-term validity, which is an important prerequisite when
applying the data to climate research. We estimate a PWV
precision of 1% for the FTIR, about 10% for the MFRSR, Cimel, and
GPS (when excluding rather dry conditions), and
significantly better than 15% for the RS92 (the detection of
different airmasses avoids a better constrained estimation).
We show that the MFRSR, Cimel and GPS data
quality depends on the atmospheric conditions (humid or dry) and
that the restriction to clear-sky observations introduces a
significant dry bias in the FTIR and Cimel data. In addition, we
intercompare the water vapour profiles measured by the FTIR and the
Vaisala RS92, which allows the conclusion that both experiments are
able to detect lower to upper tropospheric water vapour mixing
ratios with a precision of better than 15%.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Alexandrov, M D., Marshak,~A., Cairns,~B., Lacis,~A. A., and Carlson, B. E.: Automated cloud screening algorithm for MFRSR data, Geophys Res Lett., 31(4), L04118, doi:10.1029/2003GL019105, 2004. </reference>
		<reference numeration="2" content_type="text"> Alexandrov, M D., Schmid, B., Turner, D. D., Cairns, B., Oinas, V., Lacis, A. A., Gutman, S. I., Westwater, E. R., Smirnov, A., and Eilers, J.: Columnar water vapor retrievals from multifilter rotating shadowband radiometer data, J. Geophys. Res., 114, D02306, doi:10.1029/2008JD010543, 2009. </reference>
		<reference numeration="3" content_type="text"> Bokoye, A I., Royer, A., Cliche, P., and O&apos;Neill, N.: Calibration of sun radiometer-based atmospheric water vapor retrievals using GPS meteorology, J. Atmos. Oceanic Technol., 24, 964–979, 2007. </reference>
		<reference numeration="4" content_type="text"> Bruegge, C J., Conel, J. E., Green, R. O., Margolis, J. S., Holm, R. G., and Toon, G.: Water vapor column abundances retrievals during FIFE, J Geophys Res., 97, 18759–18768, 1992. </reference>
		<reference numeration="5" content_type="text"> Bruyninx, C.: The EUREF Permanent Network: a multi-disciplinary network serving surveyors as well as scientists, GeoInformatics, 7, 32–35, 2004. </reference>
		<reference numeration="6" content_type="text"> Dow, J M., Neilan, R. E., and Gendt, G.: The International GPS Service (IGS): celebrating the 10th anniversary and looking to the next decade, Adv Space Res., 36, 320–326, doi:10.1016/j.asr.2005.05.125, 2005. </reference>
		<reference numeration="7" content_type="text"> Duan, J., Bevis, M., Fang, P., Bock, Y., Chiswell, S., Businger, S., Rocken, C., Solheim, F., van Hove, T., Ware, R., McClusky, S., Herring, T. A., and King, R. W.: GPS meteorology: direct estimation of the absolute value of precipitable water, J Appl Meteor., 35, 830–838, 1996. </reference>
		<reference numeration="8" content_type="text"> Gaffen, D J and Elliot, W. P.: Column water vapor content in clear and cloudy skies, J Climate, 6, 2278–2287, 1993. </reference>
		<reference numeration="9" content_type="text"> Harrison, L., Michalsky, J., and Berndt, J.: Automated multifilter rotating shadow-band radiometer: an instrument for optical depth and radiation measurements, Appl Opt., 33, 5118–5125, 1994. </reference>
		<reference numeration="10" content_type="text"> Hase, F., Hannigan, J W., Coffey, M T., Goldman, A., Höpfner, M., Jones, N B., Rinsland, C P., and Wood, S W.: Intercomparison of retrieval codes used for the analysis of high-resolution, ground-based FTIR measurements, J. Quant. Spectrosc. Ra., 87, 25–52, 2004. </reference>
		<reference numeration="11" content_type="text"> Held, I M. and Soden, B. J.: Water vapour feedback and global warming, Annu. Rev. Energy Environ., 25, 441–475, 2000. </reference>
		<reference numeration="12" content_type="text"> Holben, B N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – A federated instrument network and data archive for aerosol characterization, Remote Sens Environ., 66, 1–16, 1998. </reference>
		<reference numeration="13" content_type="text"> Kurylo, M. J. and Zander, R.: The NDSC – Its status after 10 years of operation, Proceedings of XIX Quadrennial Ozone Symposium, Hokkaido University, Sapporo, Japan, 167–168, 2000. </reference>
		<reference numeration="14" content_type="text"> Lanzante, J R and Gahrs, G. E.: The &quot;clear-sky bias&quot; of TOVS upper-tropospheric humidity, J Climate, 13, 4034–4041, 2000.  </reference>
		<reference numeration="15" content_type="text"> Miloshevich, L M., Vömel, H., Whilteman, D. N., and Leblanc, T.: Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements, J Geophys Res., 114, D11305, doi:10.1029/2008JD011565, 2009. </reference>
		<reference numeration="16" content_type="text"> Ohmura, A., Gilgen, H., Hegner, H., Müller, G., Wild, M., Dutton, E. G., Forgan, B., Fröhlich, C., Philipona, R., Heimo, A., König-Langlo, G., McArthur, B., Pinker, R., Whitlock, C. H., and Dehne, K.: Baseline Surface Radiation Network (BSRN/WCRP): new precision radiometry for climate research, Bull Am Meteorol Soc., 79, 2115–2136, 1998. </reference>
		<reference numeration="17" content_type="text"> Pałm, M., Melsheimer, C., No\&quot;el, S., Heise, S., Notholt, J., Burrows, J., and Schrems, O.: Integrated water vapor above Ny \AA lesund, Spitsbergen: a multi-sensor intercomparison, Atmos. Chem. Phys., 10, 1215–1226, 2010. </reference>
		<reference numeration="18" content_type="text"> Revercomb, H E., Turner, D. D., Tobin, D. C., Knuteson, R. O., Feltz, W. F., Barnard, J., Bösenberg, J., Clough, S., Cook, D., Ferrare, R., Goldsmith, J., Gutman, S., Halthore, R., Lesht, B., Liljegren, J., Linné, H., Michalsky, J., Morris, V., Porch, W., Richardson, S., Schmid, B., Splitt, M., van Hove, T., Westwater, E., and Whiteman, D.: The ARM program&apos;s water vapor intensive observation periods: overview, initial accomplishments, and future challenges, Bull Amer Meteor Soc., 84, 217–236, 2003. </reference>
		<reference numeration="19" content_type="text"> Rinsland, C P., E Mahieu, Zander, R., Jones, N. B., Chipperfield, M. P., Goldman, A., Anderson, J., Russell III, J. M., Demoulin, P., Notholt, J., Toon, G. C., Blavier, J.-F., Sen, B., Sussmann, R., Wood, S. W., Meier, A., Griffith, D. W. T., Chiou, L. S., Murcray, F. J., Stephen, T. M., Hase, F., Mikuteit, S., Schultz, A., and Blumenstock, T.: Long-term trends of inorganic chlorine from ground-based infrared solar spectra: past increases and evidence for stabilization, J. Geophys. Res., 108(D8), 4252, doi:10.1029/2002JD003001, 2003. </reference>
		<reference numeration="20" content_type="text"> Rothacher, M.: Orbits of satellite systems in space goedesy, Ph.D. thesis, University of Bern, Bern, Switzerland, 1992. </reference>
		<reference numeration="21" content_type="text"> Rodgers, C D.: Inverse Methods for Atmospheric Sounding: Theory and Praxis, World Scientific Publishing Co., Singapore, ISBN~981-02-2740-X, 2000. </reference>
		<reference numeration="22" content_type="text"> Romero, P M., Cuevas, E., Ramos, R., Valdés, M., and Schneider, M.: Programa de vapor de agua en columna del Centro de Investigación Atmosférico de Izaña: análisis e intercomparación de diferentes técnicas de medidia, NTD CIAI-1, Agencia Estatal de Meteorología, Ministerio de Medio Ambiente, y Medio Rural y Marino, NIPO~784-09-009-9, 2009.  </reference>
		<reference numeration="23" content_type="text"> Sapucci, L F., Machado, L. A. T., Monico, J. F. G., and Plana-Fattori, A.: Intercomparison of integrated water vapor estimates from multisensors in the Amazonian region, J. Atmos. Oceanic Technol., 24, 1880–1894, 2007. </reference>
		<reference numeration="24" content_type="text"> Schmid, B., Michalsky, J. J., Slater, D. W., Barnard, J. C., Halthore, R. N., Liljegren, J. C., Holben, B. N., Eck, T. F., Livingston, J. M., Russell, P. B., Ingold, T., and Slutsker, I.: Comparison of columnar water-vapor measurements from solar transmittance methods, Appl Opt., 40, 1886–1896, 2001. </reference>
		<reference numeration="25" content_type="text"> Schneider, M., Hase, F., and Blumenstock, T.: Water vapour profiles by ground-based FTIR spectroscopy: study for an optimised retrieval and its validation, Atmos. Chem. Phys., 6, 811–830, 2006.  </reference>
		<reference numeration="26" content_type="text"> Schneider, M. and Hase, F.: Ground-based FTIR water vapour profile analyses, Atmos. Meas. Tech., 2, 609–619, 2009. </reference>
		<reference numeration="27" content_type="text"> Schneider, M., Yoshimura, K., Hase, F., and Blumenstock, T.: The ground-based FTIR network&apos;s potential for investigating the atmospheric water cycle, Atmos. Chem. Phys. Discuss., 9, 26199–26235, 2009. </reference>
		<reference numeration="28" content_type="text"> Smirnov, A., Holben, B. N., Eck, T. F., Dubovik, O., and Slutsker, I.: Cloud screening and quality control algorithms for the AERONET database, Remote Sens. Environ., 73, 337–349, 2000. </reference>
		<reference numeration="29" content_type="text"> Spencer, R W and Braswell, W. D.: How dry is the tropical free troposphere? Implications for global warming theory, Bull Amer Meteor Soc., 78, 1097–1106, 1997. </reference>
		<reference numeration="30" content_type="text"> Sussmann, R., Borsdorff, T., Rettinger, M., Camy-Peyret, C., Demoulin, P., Duchatelet, P., Mahieu, E., and Servais, C.: Technical Note: Harmonized retrieval of column-integrated atmospheric water vapor from the FTIR network first examples for long-term records and station trends, Atmos. Chem. Phys., 9, 8987–8999, 2009. </reference>
		<reference numeration="31" content_type="text"> Trenberth, K E., Fasullo, J., and Smith, L.: Trends and variability in column-integrated atmospheric water vapour, Clim Dyn., 24, 741–758, 2004. </reference>
		<reference numeration="32" content_type="text"> Turner, D D., Lesht, B. M., Clough, S. A., Liljegren, J. C., Revercomb, H. E., and Tobin, D. C.: Dry bias ans variability in Vaisala RS80-H radiosondes: the ARM experience, J Atmos Oceanic Technol., 20, 117–123, 2003.  </reference>
		<reference numeration="33" content_type="text"> Van Baelen, J., Aubagnac, J.-P., and Dabas, A.: Comparison of near-real time estimates of integrated water vapor derived with GPS, radiosonde, and microwave radiometer, J. Atmos. Oceanic Technol., 22, 201–210, 2005. </reference>
		<reference numeration="34" content_type="text"> Vigouroux, C., De Mazière, M., Demoulin, P., Servais, C., Hase, F., Blumenstock, T., Kramer, I., Schneider, M., Mellqvist, J., Strandberg, A., Velazco, V., Notholt, J., Sussmann, R., Stremme, W., Rockmann, A., Gardiner, T., Coleman, M., and Woods, P.: Evaluation of tropospheric and stratospheric ozone trends over Western Europe from ground-based FTIR network observations, Atmos. Chem. Phys., 8, 6865–6886, 2008.  </reference>
		<reference numeration="35" content_type="text"> Vömel, H., Selkirk, H., Miloshevich, L., Valverde, J., Valdés, J., Kyrö, E., Kivi, R., Stolz, W., Peng, G., and Diaz, J A.: Radiation dry bias of the Vaisala RS92 humidity sensor, J. Atmos. Oceanic Technol., 24, 953–963, 2007. </reference>
		<reference numeration="36" content_type="text"> Wang, J., Zhang, L., Dai, A., Van Hove, T., and Van Baelen, J.: A near-global, $2$-hourly dataset of atmospheric precipitable water from ground-based GPS measurements, J Geophys Res., 1 12, D11107, doi:10.1029/2006JD007529, 2007.  </reference>
	</references>
</article>

