<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-7-3143-2007</article-id>
<title-group>
<article-title>Asymmetricity of ground-based GPS slant delay data</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eresmaa</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Järvinen</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Niemelä</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Salonen</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Finnish Meteorological Institute, Erik Palménin aukio 1, 00100 Helsinki, Finland</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>06</month>
<year>2007</year>
</pub-date>
<volume>7</volume>
<issue>12</issue>
<fpage>3143</fpage>
<lpage>3151</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.atmos-chem-phys.net/7/3143/2007/acp-7-3143-2007.html">This article is available from http://www.atmos-chem-phys.net/7/3143/2007/acp-7-3143-2007.html</self-uri>
<self-uri xlink:href="http://www.atmos-chem-phys.net/7/3143/2007/acp-7-3143-2007.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys.net/7/3143/2007/acp-7-3143-2007.pdf</self-uri>
<abstract>
<p>The ground-based measurements of the Global Positioning System (GPS)
allow estimation of the tropospheric delay along the slanted signal
paths through the atmosphere. The meteorological exploitation of such
slant delay (SD) observations relies on the hypothesis of azimuthal
asymmetry of the information content. This article addresses the
validity of the hypothesis.

&lt;br&gt;&lt;br&gt;
A new concept of asymmetricity is introduced for studying the SD
observations and their model counterparts. The asymmetricity is
defined as the ratio of the absolute asymmetric delay component to
total SD. The model
counterparts are determined from 3-h forecasts of a numerical
weather prediction (NWP) model, run with four different horizontal
resolutions. The SD observations are compared with their model
counterparts with emphasis on cases of high asymmetricity in order to
see whether the observed asymmetry is a real atmospheric signature.

&lt;br&gt;&lt;br&gt;
The asymmetricity is found to be of the order of a few parts per
thousand. Thus, the asymmetric delay component barely exceeds the
assumed standard deviation of the SD observation error. However, the
observed asymmetric delay components show a statistically significant
meteorological signal. Benefit of the asymmetric SD observations is
therefore expected to be taken in future, when NWP systems will
explicitly represent the small-scale atmospheric features revealed by
the SD observations.</p>
</abstract>
<counts><page-count count="9"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple"> Berre, L.: Estimation of synoptic and mesoscale forecast error covariances in a limited area model, Mon. Wea. Rev., 128, 644&amp;ndash;667, 2000. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple"> Bevis, M., Businger, S., Herring, T., Rocken, C., Anthes, R., and Ware, R.: GPS meteorology: Remote sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res., 97, 15 787&amp;ndash;15 801, 1992. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple"> Boehm, J., Niell, A., Tregoning, P., and Schuh, H.: Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data, Geophys. Res. Lett., 33, L07304, doi:10.1029/2005GL025546, 2006. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple"> Bouttier, F.: The AROME mesoscale project, in: Proceedings of a seminar on Recent developments in data assimilation for atmosphere and ocean, 8&amp;ndash;12 September 2003, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, England, pp 433&amp;ndash;448, 2004. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple"> de Haan, S., van der Marel, H., and Barlag, S.: Comparison of GPS slant delay measurements to a numerical model: case study of a cold front passage, Phys. Chem. Earth, 27, 317&amp;ndash;322, 2002. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple"> De Pondeca, M. and Zou, X.: A case study of the variational assimilation of GPS zenith delay observations into a mesoscale model, J. Appl. Meteorol., 40, 1559&amp;ndash;1576, 2001. </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple"> Elgered, G., Plag, H.-P., van der Marel, H., Barlag, S., and Nash, J., eds.: COST Action 716: Exploitation of ground-based GPS for operational numerical weather prediction and climate applications, Final report, Rep. EUR 21639, European Union, 234 pp., 2005. </mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple"> Elosegui, P. and Davis, J.: Accuracy assessment of GPS slant-path determinations, in: Proc. International Workshop on GPS meteorology, Tsukuba, Japan, 14&amp;ndash;17 Jan 2003, edited by: Iwabuchi, T. and Shoji, Y., 1-35-1&amp;ndash;1-35-6, 2004. </mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple"> Eresmaa, R. and Järvinen, H.: An observation operator for ground-based GPS slant delays, Tellus, 58A, 131&amp;ndash;140, 2006. </mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple"> Gustafsson, N., Berre, L., Hörnquist, S., Huang, X.-Y., Lindskog, M., Navascués, B., Mogensen, K S., and Thorsteinsson, S.: Three-dimensional variational data assimilation for a limited area model. Part I: General formulation and the background error constraint, Tellus, 53A, 425&amp;ndash;446, 2001. </mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple"> Ha, S.-Y., Kuo, Y.-H., Guo, Y.-R., and Lim, G.-H.: Variational assimilation of slant path wet delay measurements from a hypothetical ground-based GPS network. Part I: Comparison with precipitable water assimilation, Mon. Wea. Rev., 131, 2635&amp;ndash;2655, 2003. </mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple"> Hollingsworth, A., Viterbo, P., and Simmons, A J.: The relevance of numerical weather prediction for forecasting natural hazards and for monitoring the global environment, Tech. Memo 361, ECMWF, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, England, 29~pp., 2002. </mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple"> Järvinen, H., Eresmaa, R., Vedel, H., Salonen, K., Niemelä, S., and de Vries, J.: A variational data assimilation system for ground-based GPS slant delays, Q. J. Roy. Meteor. Soc., in press, 2007. </mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple"> Lindskog, M., Gustafsson, N., Navascués, B., Mogensen, K S., Huang, X.-Y., Yang, X., Andr\ae, U., Berre, L., Thorsteinsson, S., and Rantakokko, J.: Three-dimensional variational data assimilation for a limited area model. Part II: Observation handling and assimilation experiments, Tellus, 53A, 447&amp;ndash;468, 2001. </mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple"> Liu, H. and Xue, M.: Retrieval of moisture from slant-path water vapor observations of a hypothetical GPS network using a three-dimensional variational scheme with anisotropic background error, Mon. Wea. Rev., 134, 933&amp;ndash;949, 2006. </mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple"> MacDonald, A E., Xie, Y., and Ware, R H.: Diagnosis of three-dimensional water vapor using a GPS network, Mon. Wea. Rev., 130, 386&amp;ndash;397, 2002. </mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple"> Niell, A.: Global mapping functions for the atmosphere delay at radio wavelengths, J. Geophys. Res., 101, 3227&amp;ndash;3246, 1996. </mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple"> Niemelä, S. and Fortelius, C.: Applicability of large scale convection and condensation parameterization to meso-γ-scale HIRLAM: A case study of a convective event, Mon. Wea. Rev., 133, 2422&amp;ndash;2435, 2005. </mixed-citation>
</ref>
<ref id="ref19">
<label>19</label><mixed-citation publication-type="other" xlink:type="simple"> Undén, P., Rontu, L., Järvinen, H., Lynch, P., Calvo, J., Cats, G., Cuxart, J., Eerola, K., Fortelius, C., Garcia-Moya, J A., Jones, C., Lenderlink, G., McDonald, A., McGrath, R., Navascués, B., Woetman Nielsen, N., Ødegaard, V., Rodriguez, E., Rummukainen, M., R\~o\~om, R., Sattler, K., Hansen Sass, B., Savijärvi, H., Wichers Schreur, B., Sigg, R., The, H., and Tijm, A.: HIRLAM-5 Scientific Documentation, Hirlam-5 Project, available from Hirlam-5 Project, c/o Per Undén, SMHI, S-60176, Norrköping, Sweden. 144~pp., 2002. </mixed-citation>
</ref>
<ref id="ref20">
<label>20</label><mixed-citation publication-type="other" xlink:type="simple"> Vedel, H. and Huang, X.-Y.: Impact of Ground Based GPS Data on Numerical Weather Prediction, J. Meteor. Soc. Japan, 82, 459&amp;ndash;472, 2004. </mixed-citation>
</ref>
</ref-list>
</back>
</article>