Geodetic corrections to Amazon River water level gauges using ICESat altimetry

被引:49
|
作者
Hall, Amanda C. [1 ]
Schumann, Guy J. -P. [1 ]
Bamber, Jonathan L. [1 ]
Bates, Paul D. [1 ]
Trigg, Mark A. [1 ]
机构
[1] Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England
基金
英国自然环境研究理事会;
关键词
RADAR ALTIMETRY; BASIN; OCEAN;
D O I
10.1029/2011WR010895
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Gauge stations are vital for monitoring water levels worldwide. However, many remote basins suffer from having gauges that are not tied to a common datum, making it impossible to know absolute water elevations, and therefore slope. This problem is known to exist on the River Amazon, for example, where water flux modeling efforts have been hampered by inconsistently leveled gauge data that serve as boundary conditions for these models. This paper presents a methodology for using Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry observations to geodetically level gauge stations. A proof-of-concept study was carried out to ascertain the feasibility and accuracy of the approach, and a mean absolute error of 19 cm was found. Once this was established, gauges within the Amazon Basin were geodetically leveled. This produced offsets for six gauges using a method that can be transferred to other locations and allows slope and discharge estimates to be calculated. The results are significant, with offsets as large as 13.37 m being added. The approach could provide improvements in modeling floodplain flow, processes, and fluxes in the Amazon Basin and worldwide.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin
    Gehring, Jaclyn
    Duvvuri, Bhavya
    Beighley, Edward
    REMOTE SENSING, 2022, 14 (15)
  • [42] Mapping Lake Level Changes using ICESat/GLAS Satellite Laser Altimetry Data - A Case Study in Arid Regions of Central Asia
    Li JunLi
    Fang Hui
    Yang Liao
    MIPPR 2011: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2011, 8006
  • [43] RELATIONSHIP BETWEEN WATER LEVEL OF AMAZON RIVER AND FATE OF ZOOPLANKTON POPULATION IN LAGO-JACARETINGA, A VARZEA LAKE IN CENTRAL AMAZON
    BRANDORFF, GO
    ANDRADE, ERD
    STUDIES ON NEOTROPICAL FAUNA AND ENVIRONMENT, 1978, 13 (02) : 63 - 70
  • [44] Monitoring Water Levels and Discharges Using Radar Altimetry in an Ungauged River Basin: The Case of the Ogooue
    Bogning, Sakaros
    Frappart, Frederic
    Blarel, Fabien
    Nino, Fernando
    Mahe, Gil
    Bricquet, Jean-Pierre
    Seyler, Frederique
    Onguene, Raphael
    Etame, Jacques
    Paiz, Marie-Claire
    Braun, Jean-Jacques
    REMOTE SENSING, 2018, 10 (02):
  • [45] Monitoring of Water-Level Fluctuation of Lake Nasser Using Altimetry Satellite Data
    El-Shirbeny M.A.
    Abutaleb K.A.
    Earth Systems and Environment, 2018, 2 (2) : 367 - 375
  • [46] Sea level trends along the South African coast from 1993 to 2022 using XTRACK altimetry, tide gauges, and GNSS measurements
    Ghomsi, Franck Eitel Kemgang
    Erkoc, Muharrem Hilmi
    Raj, Roshin P.
    Pirti, Atinc
    Bonaduce, Antonio
    Abiodun, Babatunde J.
    Stroeve, Julienne
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [47] Monitoring Spatial-Temporal Variations of Lake Level in Western China Using ICESat-1 and CryoSat-2 Satellite Altimetry
    Chen, Jun
    Duan, Zheng
    REMOTE SENSING, 2022, 14 (22)
  • [48] The Total Drainable Water Storage of the Amazon River Basin: A First Estimate Using GRACE
    Tourian, M. J.
    Reager, J. T.
    Sneeuw, N.
    WATER RESOURCES RESEARCH, 2018, 54 (05) : 3290 - 3312
  • [49] An estimation of tropospheric corrections using GPS and synoptic data: Improving Urmia Lake water level time series from Jason-2 and SARAL/AltiKa satellite altimetry
    Arabsahebi, Reza
    Voosoghi, Behzad
    Tourian, Mohammad J.
    ADVANCES IN SPACE RESEARCH, 2018, 61 (09) : 2406 - 2417
  • [50] Monitoring water level changes from retracked Jason-2 altimetry data: a case study in the Yangtze River, China
    Yuan, Cui
    Gong, Peng
    Zhang, Han
    Guo, Hui
    Pan, Baozhu
    REMOTE SENSING LETTERS, 2017, 8 (05) : 399 - 408