<?xml version="1.0" encoding="UTF-8"?>
<xml>
  <records>
    <record>
      <source-app name="Horizon">Horizon</source-app>
      <rec-number>1</rec-number>
      <foreign-keys>
        <key app="Horizon" db-id="PAR00004047">1</key>
      </foreign-keys>
      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Obligis, E.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Rahmani, A.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Eymard, Laurence</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Labroue, S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Bronner, E.</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>An improved retrieval algorithm for water vapor retrieval : application to the envisat microwave radiometer</title>
        <secondary-title>IEEE Transactions on Geoscience and Remote Sensing</secondary-title>
      </titles>
      <pages>3057-3064</pages>
      <keywords>
        <keyword>Microwave radiometry</keyword>
        <keyword>water vapor retrieval</keyword>
        <keyword>wet tropospheric correction</keyword>
      </keywords>
      <dates>
        <year>2009</year>
      </dates>
      <call-num>PAR00004047</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>IEEE Transactions on Geoscience and Remote Sensing</full-title>
      </periodical>
      <isbn>0196-2892</isbn>
      <accession-num>ISI:000269230100008</accession-num>
      <number>9</number>
      <electronic-resource-num>10.1109/tgrs.2009.2020433</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/PAR00004047</url>
        </related-urls>
      </urls>
      <volume>47</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Algorithms proposed to retrieve water vapor are usually developed using statistical regression. Recent results have shown that this global statistical approach creates systematic geographical errors implying systematic biases. In the particular case of the wet tropospheric correction for altimetry missions, these biases directly distort the sea level estimation. After an in-depth analysis of the retrieval errors, we propose a new approach that significantly improves the quality of the retrieval algorithm.</abstract>
      <custom6>126 ; 021</custom6>
      <custom1>UR182</custom1>
    </record>
  </records>
</xml>
