The SWOT Mission and Its Capabilities for Land Hydrology

被引:392
作者
Biancamaria, Sylvain [1 ]
Lettenmaier, Dennis P. [2 ]
Pavelsky, Tamlin M. [3 ]
机构
[1] Univ Toulouse, LEGOS, CNES, CNRS,IRD,UPS, 14 Ave Edouard Belin, F-31400 Toulouse, France
[2] Univ Calif Los Angeles, Dept Geog, 1145 Bunche Hall, Los Angeles, CA 90095 USA
[3] Univ N Carolina, Dept Geol Sci, 104 South Rd,CB 3315, Chapel Hill, NC 27599 USA
关键词
Surface Water and Ocean Topography (SWOT) satellite mission; Continental surface waters; Lakes; Reservoirs; Rivers; SYNTHETIC-APERTURE RADAR; RIVER DISCHARGE; SURFACE-WATER; SATELLITE IMAGERY; DATA ASSIMILATION; STORAGE CHANGES; NIGER RIVER; LAKES; ALTIMETRY; TOPOGRAPHY;
D O I
10.1007/s10712-015-9346-y
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Surface water storage and fluxes in rivers, lakes, reservoirs and wetlands are currently poorly observed at the global scale, even though they represent major components of the water cycle and deeply impact human societies. In situ networks are heterogeneously distributed in space, and many river basins and most lakes-especially in the developing world and in sparsely populated regions-remain unmonitored. Satellite remote sensing has provided useful complementary observations, but no past or current satellite mission has yet been specifically designed to observe, at the global scale, surface water storage change and fluxes. This is the purpose of the planned Surface Water and Ocean Topography (SWOT) satellite mission. SWOT is a collaboration between the (US) National Aeronautics and Space Administration, Centre National d'A parts per thousand tudes Spatiales (the French Spatial Agency), the Canadian Space Agency and the United Kingdom Space Agency, with launch planned in late 2020. SWOT is both a continental hydrology and oceanography mission. However, only the hydrology capabilities of SWOT are discussed here. After a description of the SWOT mission requirements and measurement capabilities, we review the SWOT-related studies concerning land hydrology published to date. Beginning in 2007, studies demonstrated the benefits of SWOT data for river hydrology, both through discharge estimation directly from SWOT measurements and through assimilation of SWOT data into hydrodynamic and hydrology models. A smaller number of studies have also addressed methods for computation of lake and reservoir storage change or have quantified improvements expected from SWOT compared with current knowledge of lake water storage variability. We also briefly review other land hydrology capabilities of SWOT, including those related to transboundary river basins, human water withdrawals and wetland environments. Finally, we discuss additional studies needed before and after the launch of the mission, along with perspectives on a potential successor to SWOT.
引用
收藏
页码:307 / 337
页数:31
相关论文
共 80 条
  • [1] Patterns of river width and surface area revealed by the satellite-derived North American River Width data set
    Allen, George H.
    Pavelsky, Tamlin M.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (02) : 395 - 402
  • [2] Tracking fresh water from space
    Alsdorf, DE
    Lettenmaier, DP
    [J]. SCIENCE, 2003, 301 (5639) : 1491 - +
  • [3] Measuring surface water from space
    Alsdorf, Douglas E.
    Rodriguez, Ernesto
    Lettenmaier, Dennis P.
    [J]. REVIEWS OF GEOPHYSICS, 2007, 45 (02)
  • [4] Estimating the impact of satellite observations on the predictability of large-scale hydraulic models
    Andreadis, Konstantinos M.
    Schumann, Guy J-P.
    [J]. ADVANCES IN WATER RESOURCES, 2014, 73 : 44 - 54
  • [5] Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model
    Andreadis, Konstantinos M.
    Clark, Elizabeth A.
    Lettenmaier, Dennis P.
    Alsdorf, Douglas E.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (10)
  • [6] [Anonymous], INT J WATER RESOURCE
  • [7] [Anonymous], 1995, HYDROL PROCESS, DOI DOI 10.1002/hyp.3360090305
  • [8] [Anonymous], INLAND WATER ALTIMET
  • [9] [Anonymous], 2015, D61923 JPL
  • [10] [Anonymous], 1998, HYDRO1k documentation USGS