DOI: 10.5194/hess-19-4345-2015
Scopus记录号: 2-s2.0-84946548863
论文题名: DAHITI - An innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry
作者: Schwatke C ; , Dettmering D ; , Bosch W ; , Seitz F
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 10 起始页码: 4345
结束页码: 4364
语种: 英语
Scopus关键词: Aneroid altimeters
; Database systems
; Lakes
; Meteorological instruments
; Reservoirs (water)
; Rivers
; Satellites
; Sea level
; Time series
; Water levels
; Water resources
; Web services
; Filter approach
; Hydrological time-series
; Innovative approaches
; Multi-mission satellites
; Outlier rejection
; Radar altimetry
; Rivers and lakes
; Satellite altimetry
; Geodetic satellites
; database
; Envisat
; ERS
; gauge
; inland sea
; innovation
; Jason
; Kalman filter
; open ocean
; outlier
; radar altimetry
; satellite altimetry
; sea level change
; time series
; TOPEX-Poseidon
; uncertainty analysis
; water level
; North America
; South America
英文摘要: Satellite altimetry has been designed for sea level monitoring over open ocean areas. However, for some years, this technology has also been used to retrieve water levels from reservoirs, wetlands and in general any inland water body, although the radar altimetry technique has been especially applied to rivers and lakes. In this paper, a new approach for the estimation of inland water level time series is described. It is used for the computation of time series of rivers and lakes available through the web service "Database for Hydrological Time Series over Inland Waters" (DAHITI). The new method is based on an extended outlier rejection and a Kalman filter approach incorporating cross-calibrated multi-mission altimeter data from Envisat, ERS-2, Jason-1, Jason-2, TOPEX/Poseidon, and SARAL/AltiKa, including their uncertainties. The paper presents water level time series for a variety of lakes and rivers in North and South America featuring different characteristics such as shape, lake extent, river width, and data coverage. A comprehensive validation is performed by comparisons with in situ gauge data and results from external inland altimeter databases. The new approach yields rms differences with respect to in situ data between 4 and 36 cm for lakes and 8 and 114 cm for rivers. For most study cases, more accurate height information than from other available altimeter databases can be achieved. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78398
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Deutsches Geodatisches Forschungsinstitut der Technischen Universitat Munchen (DGFI-TUM), Arcisstr. 21, Munich, Germany
Recommended Citation:
Schwatke C,, Dettmering D,, Bosch W,et al. DAHITI - An innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry[J]. Hydrology and Earth System Sciences,2015-01-01,19(10)