دورية أكاديمية
Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks
| العنوان: | Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks |
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| المؤلفون: | G. S. Nearing, D. Klotz, J. M. Frame, M. Gauch, O. Gilon, F. Kratzert, A. K. Sampson, G. Shalev, S. Nevo |
| المصدر: | Hydrology and Earth System Sciences, Vol 26, Pp 5493-5513 (2022) |
| بيانات النشر: | Copernicus Publications, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Technology LCC:Environmental technology. Sanitary engineering LCC:Geography. Anthropology. Recreation LCC:Environmental sciences |
| مصطلحات موضوعية: | Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350 |
| الوصف: | Ingesting near-real-time observation data is a critical component of many operational hydrological forecasting systems. In this paper, we compare two strategies for ingesting near-real-time streamflow observations into long short-term memory (LSTM) rainfall–runoff models: autoregression (a forward method) and variational data assimilation. Autoregression is both more accurate and more computationally efficient than data assimilation. Autoregression is sensitive to missing data, however an appropriate (and simple) training strategy mitigates this problem. We introduce a data assimilation procedure for recurrent deep learning models that uses backpropagation to make the state updates. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1027-5606 1607-7938 |
| Relation: | https://hess.copernicus.org/articles/26/5493/2022/hess-26-5493-2022.pdf; https://doaj.org/toc/1027-5606; https://doaj.org/toc/1607-7938 |
| DOI: | 10.5194/hess-26-5493-2022 |
| URL الوصول: | https://doaj.org/article/b85f88847fe5433c93431e7f7cad3a51 |
| رقم الأكسشن: | edsdoj.b85f88847fe5433c93431e7f7cad3a51 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10275606 16077938 |
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| DOI: | 10.5194/hess-26-5493-2022 |