气候变化领域集成服务门户(CCPortal): Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters

CCPortal

DOI	10.5194/hess-24-2207-2020
	Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters
	Emery C.M.; Biancamaria S.; Boone A.; Ricci S.; Rochoux M.C.; Pedinotti V.; David C.H.
发表日期	2020
ISSN	1027-5606
起始页码	2207
结束页码	2233
卷号	24 期号:5
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).
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159420
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
推荐引用方式 GB/T 7714	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],2020,24(5).
APA	Emery C.M..,Biancamaria S..,Boone A..,Ricci S..,Rochoux M.C..,...&David C.H..(2020).Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters.Hydrology and Earth System Sciences,24(5).
MLA	Emery C.M.,et al."Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters".Hydrology and Earth System Sciences 24.5(2020).