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Improving runoff modelling using satellite-derived snow covered area?

机译:使用人造卫星的积雪覆盖区改善径流模拟?

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Operational use of satellite-observed snow covered area (SCA) in the HBV model was studied in order to improve the spring flood prediction. The study included calibration of HBV models against both discharge and SCA, against discharge only, and updating of the HBV models based on satellite observed SCA. Ten test catchments were selected for the study. The results confirmed that HBV models calibrated against SCA in addition to discharge simulate discharge nearly as well as models calibrated against discharge only. The simulated SCA was markedly improved when SCA was included in the calibration. Deviations between observed and simulated SCA was used to trigger model updates. In such cases, the model input (precipitation and temperature) was adjusted until a reasonable fit in the SCA was obtained. The results of the updates were ambiguous. Only 28% of the updates improved the runoff simulations. Improved simulations were most frequent at large SCA values. SCA derived from radar and optical satellite sensors differed considerably. Harmonisation is required before both types of data can be integrated in the same model simulations.
机译:为了改进春季洪水预报,研究了HBV模型中卫星观测的积雪面积(SCA)的业务使用。该研究包括针对放电和SCA的HBV模型的校准,仅针对放电的校准,以及基于卫星观测SCA的HBV模型的更新。选择了十个测试集水区进行研究。结果证实,除放电外,针对SCA校准的HBV模型几乎模拟了放电,而仅针对放电进行了校准的模型。将SCA包含在校准中后,模拟SCA显着改善。观察到的和模拟的SCA之间的差异被用来触发模型更新。在这种情况下,调整模型输入(降水和温度),直到获得合理的SCA拟合值为止。更新的结果不明确。只有28%的更新改进了径流模拟。在较大的SCA值下,改进的仿真最为频繁。来自雷达和光学卫星传感器的SCA相差很大。在将两种类型的数据集成到同一模型仿真中之前,需要进行协调。

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