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Increasing the space-time resolution of mapped sea surface height from altimetry

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DataCite Commons2023-09-15 更新2025-04-16 收录
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https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.3RYJPO
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We present a new mapping methodology to improve the resolution of gridded sea surface height (SSH) using along-track multi-satellite measurements, and apply it in the California Current system. This is motivated by the upcoming Surface Water and Ocean Topography (SWOT) satellite mission, which will provide novel high-resolution wide-swath measurements of SSH. The calibration/validation of SWOT in the California Current requires independent observations of fine-scale 2D SSH variability. Currently, the best gridded SSH product for the region is AVISO’s global dataset, based on optimal interpolation (OI). Our new method is based on 2-dimensional variational analysis (2DVAR) and we address some limitations of the AVISO OI global parameterization that restrict the resolution. Key improvements are: (1) use of a background field incorporating mesoscale information, as opposed to a long-term mean field; (2) optimized regional parameters; and (3) a representation error term in the observational error covariance matrix to account for the spread of measurements in time. Using a suite of independent remote and in situ observations, we show that 2DVAR delivers a higher-resolution SSH field that captures finer-scale mesoscale ocean circulation in the California Current region, at the expense of an increase in noise.
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2023-09-14
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