DOI: 10.5194/hess-24-2207-2020
论文题名: Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters
作者: Emery C.M. ; Biancamaria S. ; Boone A. ; Ricci S. ; Rochoux M.C. ; Pedinotti V. ; David C.H.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 5 起始页码: 2207
结束页码: 2233
语种: 英语
Scopus关键词: Mean square error
; Topography
; Uncertainty analysis
; Data assimilation algorithms
; Ensemble Kalman Filter
; Hydrologic modeling
; Land surface models
; Manning coefficient
; Observing system simulation experiments
; Root mean square errors
; Water surface elevations
; Rivers
; algorithm
; comparative advantage
; data assimilation
; elevation
; hydrological cycle
; hydrological modeling
; Kalman filter
; parameter estimation
; routing
; satellite mission
; spatial distribution
; swath bathymetry
; water flow
; water storage
; Amazon Basin
英文摘要: Land surface models combined with river routing models are widely used to study the continental part of the water cycle. They give global estimates of water flows and storages, but they are not without non-negligible uncertainties, among which inexact input parameters play a significant part. The incoming Surface Water and Ocean Topography (SWOT) satellite mission, with a launch scheduled for 2021 and with a required lifetime of at least 3 years, will be dedicated to the measuring of water surface elevations, widths and surface slopes of rivers wider than 100 m, at a global scale. SWOT will provide a significant number of new observations for river hydrology and maybe combined, through data assimilation, with global-scale models in order to correct their input parameters and reduce their associated uncertainty. Comparing simulated water depths with measured water surface elevations remains however a challenge and can introduce within the system large bias. A promising alternative for assimilating water surface elevations consists of assimilating water surface elevation anomalies which do not depend on a reference surface. The objective of this study is to present a data assimilation platform based on the asynchronous ensemble Kalman filter (AEnKF) that can assimilate synthetic SWOT observations of water depths and water elevation anomalies to correct the input parameters of a large-scale hydrologic model over a 21 d time window. The study is applied to the ISBA-CTRIP model over the Amazon basin and focuses on correcting the spatial distribution of the river Manning coefficients. The data assimilation algorithm, tested through a set of observing system simulation experiments (OSSEs), is able to retrieve the true value of the Manning coefficients within one assimilation cycle much of the time (basin-averaged Manning coefficient root mean square error, RMSEn, is reduced from 33 % to [1 %-10 %] after one assimilation cycle) and shows promising perspectives with assimilating water anomalies (basin-averaged Manning coefficient RMSEn is reduced from 33 % to [1 %-2 %] when assimilating water surface elevation anomalies over 1 year), which allows us to overcome the issue of unknown bathymetry. © 2020 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162710
Appears in Collections: 气候变化与战略
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作者单位: Emery, C.M., LEGOS, 16 Avenue Edouard Belin, Toulouse, 31400, France, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, CS-Group, Space Business Unit, Toulouse, 31500, France; Biancamaria, S., LEGOS, 16 Avenue Edouard Belin, Toulouse, 31400, France; Boone, A., CNRM-GAME, Meteo-France, 42 Avenue Gaspard Coriolis, Toulouse, 31000, France; Ricci, S., CECI, Université de Toulouse, CERFACS, CNRS, 42 Avenue Gaspard Coriolis, Toulouse CEDEX 1, 31057, France; Rochoux, M.C., CECI, Université de Toulouse, CERFACS, CNRS, 42 Avenue Gaspard Coriolis, Toulouse CEDEX 1, 31057, France; Pedinotti, V., Magellium, 1 Rue Ariane, Ramonville-Saint-Agne, 31520, France; David, C.H., Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Emery C.M.,Biancamaria S.,Boone A.,et al. Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters[J]. Hydrology and Earth System Sciences,2020-01-01,24(5)