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      <title>Monitoring water levels and discharges using radar altimetry in an ungauged river basin : the case of the Ogooue</title>
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    <abstract>Radar altimetry is now commonly used for the monitoring of water levels in large river basins. In this study, an altimetry-based network of virtual stations was defined in the quasi ungauged Ogooue river basin, located in Gabon, Central Africa, using data from seven altimetry missions (Jason-2 and 3, ERS-2, ENVISAT, Cryosat-2, SARAL, Sentinel-3A) from 1995 to 2017. The performance of the five latter altimetry missions to retrieve water stages and discharges was assessed through comparisons against gauge station records. All missions exhibited a good agreement with gauge records, but the most recent missions showed an increase of data availability (only 6 virtual stations (VS) with ERS-2 compared to 16 VS for ENVISAT and SARAL) and accuracy (RMSE lower than 1.05, 0.48 and 0.33 and R-2 higher than 0.55, 0.83 and 0.91 for ERS-2, ENVISAT and SARAL respectively). The concept of VS is extended to the case of drifting orbits using the data from Cryosat-2 in several close locations. Good agreement was also found with the gauge station in Lambarene (RMSE = 0.25 m and R-2 = 0.96). Very good results were obtained using only one year and a half of Sentinel-3 data (RMSE &lt; 0.41 m and R-2 &gt; 0.89). The combination of data from all the radar altimetry missions near Lamabrene resulted in a long-term (May 1995 to August 2017) and significantly improved water-level time series (R-2 = 0.96 and RMSE = 0.38 m). The increase in data sampling in the river basin leads to a better water level peak to peak characterization and hence to a more accurate annual discharge over the common observation period with only a 1.4 m(3)s(-1) difference (i.e., 0.03%) between the altimetry-based and the in situ mean annual discharge.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject>
      <topic>altimetry</topic>
      <topic>water level</topic>
      <topic>discharge</topic>
    </subject>
    <subject authority="local">
      <geographic>GABON</geographic>
    </subject>
    <classification authority="local">062</classification>
    <classification authority="local">126</classification>
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      <titleInfo>
        <title>Remote Sensing</title>
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      <part>
        <detail type="volume">
          <number>10</number>
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        <detail type="volume">
          <number>2</number>
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        <extent unit="pages">
          <list>art. 350 [18 ]</list>
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        <dateIssued>2018</dateIssued>
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      <identifier type="issn">2072-4292</identifier>
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    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010072663</identifier>
    <identifier type="doi">10.3390/rs10020350</identifier>
    <identifier type="issn">2072-4292</identifier>
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