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Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter
المؤلفون المشاركون
Hu, Yi-Ming
Liu, Yongwei
Wang, Wen
Cui, Wei
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-16
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
This study investigates the capability of improving the distributed hydrological model performance by assimilating the streamflow observations.
Incorrectly estimated model states will lead to discrepancies between the observed and estimated streamflow.
Consequently, streamflow observations can be used to update the model states, and the improved model states will eventually benefit the streamflow predictions.
This study tests this concept in upper Huai River basin.
We assimilate the streamflow observations sequentially into the Soil and Water Assessment Tool (SWAT) using the ensemble Kalman filter (EnKF) to update the model states.
Both synthetic experiments and real data application are used to demonstrate the benefit of this data assimilation scheme.
The experiment shows that assimilating the streamflow observations at interior sites significantly improves the streamflow predictions for the whole basin.
Assimilating the catchment outlet streamflow improves the streamflow predictions near the catchment outlet.
In real data case, the estimated streamflow at the catchment outlet is significantly improved by assimilating the in situ streamflow measurements at interior gauges.
Assimilating the in situ catchment outlet streamflow also improves the streamflow prediction of one interior location on the main reach.
This may demonstrate that updating model states using streamflow observations can constrain the flux estimates in distributed hydrological modeling.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yongwei& Wang, Wen& Hu, Yi-Ming& Cui, Wei. 2016. Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095512
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yongwei…[et al.]. Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter. Advances in Meteorology No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1095512
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yongwei& Wang, Wen& Hu, Yi-Ming& Cui, Wei. Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095512
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095512
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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