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Assimilating spaceborne radar and ground-based weather station data for operational snow-covered area estimation

机译:同化用于操作冰雪覆盖区域估计的航天摇雷达和地面气象站数据

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An enhanced method for Snow-Covered Area (SCA) estimation for boreal forest zone is presented. The method combines TKK developed spaceborne radar-based SCA estimation with ground-based weather station observations. The purpose is to improve the reliability of SCA estimates near and after the end of snow-melt season. The SCA estimates acquired with the enhanced method are compared with optical satellite data-based (MODIS) SCA data. Investigations were carried out for snow-melt seasons of 2004–2006. The results show a significant increase in accuracy when the enhanced SCA method is applied. Correlation between the radar-based and optical reference data increases from 0.919 to 0.937 and RMS-error improves from 0.151 to 0.140 when the new method is employed. Keywords-remote sensing of snow cover, snow covered area, river discharge forecasting.
机译:提出了一种增强的膨胀林区冰雪覆盖区域(SCA)估计。该方法结合了TKK开发的基于星载雷达的SCA估计与地基气象站观察。目的是提高雪融化季节结束时和之后的SCA估计的可靠性。使用增强方法获得的SCA估计与光学卫星基于数据(MODIS)SCA数据进行比较。对2004 - 2006年的雪熔融季节进行了调查。当施加增强的SCA方法时,结果表明精度显着提高。基于雷达的和光学参考数据之间的相关性从0.919增加到0.937,并且当采用新方法时,RMS误差会从0.151到0.140增加。关键词 - 遥感雪覆盖,雪覆盖区,河流放电预测。

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