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  • Data quality control x
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Vahid Naeimi, Zoltan Bartalis, and Wolfgang Wagner

quality of a long-term, combined soil moisture dataset from SCAT and ASCAT depends highly on the absolute and relative calibration of the two generations of instruments. In this article, we compare soil moisture data retrieved from SCAT on board ERS-2 and ASCAT for the period March–May 2007. Already it is worth pointing out the preliminary nature of the results mainly because the ASCAT instrument was still in the commissioning phase during the period of the study, meaning that its calibration was

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Yongqiang Zhang, Francis H. S. Chiew, Lu Zhang, and Hongxia Li

, save, access, transform, control, and interpolate these data ( Zhang and Wegehenkel 2006 ). The quality control and the interpolation were the two most important steps to produce long-term and high-quality MODIS data. The quality assessment (QA) flags in the database were used to check the quality of the MODIS LAI data. The LAI QA data with cloud cover were excluded from further processing. The 8-day LAI data were interpolated into the daily LAI data using a piecewise cubic hermite interpolating

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Dingchen Hou, Kenneth Mitchell, Zoltan Toth, Dag Lohmann, and Helin Wei

river routing models are developed, it is possible now to generate gridded streamflow prognosis as an NWP product to provide guidance to river forecast centers. Nevertheless, such product is not operationally available, and its quality remains to be evaluated. There are fundamental differences between the two components of the coupled modeling system in the nature of the model, the ensemble technology, and the quality of the input data. The meteorological component of the coupled system—that is, an

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Damian J. Barrett and Luigi J. Renzullo

-band radiation is used. Accurate soil moisture retrieval requires information on surface emissivity, canopy optical thickness, vegetation and soil temperatures, and proportions of soil clay and sand contents. However, the quality of the retrieval may be compromised by radio frequency interference (RFI), standing water, scattering by dense woody vegetation, and liquid water droplets in overlying clouds ( Njoku et al. 2003 ; de Jeu and Owe 2003 ; Wagner et al. 2007 ). In data assimilation, it is of interest

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