globalchange  > 气候变化与战略
DOI: 10.5194/hess-22-4921-2018
论文题名:
Inflation method for ensemble Kalman filter in soil hydrology
作者: Bauser H.H.; Berg D.; Klein O.; Roth K.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期:9
起始页码: 4921
结束页码: 4934
语种: 英语
Scopus关键词: Hydrology ; Signal theory ; Soils ; Data assimilation methods ; Ensemble Kalman Filter ; Hydrologic applications ; Inflation factors ; Inflation method ; Multiplicative inflations ; Parameter uncertainty ; Soil hydrology ; Kalman filters
英文摘要: The ensemble Kalman filter (EnKF) is a popular data assimilation method in soil hydrology. In this context, it is used to estimate states and parameters simultaneously. Due to unrepresented model errors and a limited ensemble size, state and parameter uncertainties can become too small during assimilation. Inflation methods are capable of increasing state uncertainties, but typically struggle with soil hydrologic applications. We propose a multiplicative inflation method specifically designed for the needs in soil hydrology. It employs a Kalman filter within the EnKF to estimate inflation factors based on the difference between measurements and mean forecast state within the EnKF. We demonstrate its capabilities on a small soil hydrologic test case. The method is capable of adjusting inflation factors to spatiotemporally varying model errors. It successfully transfers the inflation to parameters in the augmented state, which leads to an improved estimation. © 2018 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163192
Appears in Collections:气候变化与战略

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作者单位: Bauser, H.H., Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany, HGS MathComp, Heidelberg University, Heidelberg, Germany; Berg, D., Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany, HGS MathComp, Heidelberg University, Heidelberg, Germany; Klein, O., Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany; Roth, K., Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany, Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany

Recommended Citation:
Bauser H.H.,Berg D.,Klein O.,et al. Inflation method for ensemble Kalman filter in soil hydrology[J]. Hydrology and Earth System Sciences,2018-01-01,22(9)
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