کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6380833 | 1625618 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model](/preview/png/6380833.png)
چکیده انگلیسی
The framework is tested in two data-dense sites in Germany and one data-sparse environment in Turkey. Results show a potential improvement of the lead time performance of streamflow forecasts by using perfect time series of state variables generated by the simulation of the conceptual rainfall-runoff model itself. The framework is also tested using new operational data products from the Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) of EUMETSAT. This study is the first application of H-SAF products to hydrological forecasting systems and it verifies their added value. Results from assimilating H-SAF observations lead to a slight reduction of the streamflow forecast skill in all three cases compared to the assimilation of streamflow data only. On the other hand, the forecast skill of soil moisture shows a significant improvement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Water Resources - Volume 92, June 2016, Pages 248-257
Journal: Advances in Water Resources - Volume 92, June 2016, Pages 248-257
نویسندگان
Rodolfo Alvarado Montero, Dirk Schwanenberg, Peter Krahe, Dmytro Lisniak, Aynur Sensoy, A. Arda Sorman, Bulut Akkol,