4.7 Article

How well will the Surface Water and Ocean Topography (SWOT) mission observe global reservoirs?

期刊

WATER RESOURCES RESEARCH
卷 52, 期 3, 页码 2123-2140

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015WR017952

关键词

remote sensing; reservoirs; global observations; SWOT

资金

  1. National Aeronautics and Space Administration (NASA) Earth and Space Science Fellowship (NESSF)
  2. Jet Propulsion Laboratory, California Institute of Technology
  3. NASA

向作者/读者索取更多资源

Accurate observations of global reservoir storage are critical to understand the availability of managed water resources. By enabling estimates of surface water area and height for reservoir sizes exceeding 250 m(2) at a maximum repeat orbit of up to 21 days, the NASA Surface Water and Ocean Topography (SWOT) satellite mission (anticipated launch date 2020) is expected to greatly improve upon existing reservoir monitoring capabilities. It is thus essential that spatial and temporal measurement uncertainty for water bodies is known a priori to maximize the utility of SWOT observations as the data are acquired. In this study, we evaluate SWOT reservoir observations using a three-pronged approach that assesses temporal aliasing, errors due to specific reservoir spatial properties, and SWOT performance over actual reservoirs using a combination of in situ and simulated reservoir observations from the SWOTsim instrument simulator. Results indicate temporal errors to be less than 5% for the smallest reservoir sizes (< 10 km(2)) with errors less than 0.1% for larger sizes (>100 km(2)). Surface area and height errors were found to be minimal (area <5%, height <15 cm) above 1 km(2) unless the reservoir exhibited a strong elliptical shape with high aspect ratio oriented parallel to orbit, was set in mountainous terrain, or swath coverage fell below 30%. Experiments from six real reservoir test cases generally support these results. By providing a comprehensive blueprint on the observability of reservoirs from SWOT, this study will be have important implications for future applications of SWOT reservoir measurements in global monitoring systems and models.

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