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Risien CM, Strub PT. Blended sea level anomaly fields with enhanced coastal coverage along the U.S. West Coast. Sci Data. 2016;3:160013doi: 10.1038/sdata.2016.13.
Risien, C. M., & Strub, P. T. (2016). Blended sea level anomaly fields with enhanced coastal coverage along the U.S. West Coast. Scientific data, 3160013. https://doi.org/10.1038/sdata.2016.13
Risien, C M, and Strub, P T. "Blended sea level anomaly fields with enhanced coastal coverage along the U.S. West Coast." Scientific data vol. 3 (2016): 160013. doi: https://doi.org/10.1038/sdata.2016.13
Risien CM, Strub PT. Blended sea level anomaly fields with enhanced coastal coverage along the U.S. West Coast. Sci Data. 2016 Mar 01;3:160013. doi: 10.1038/sdata.2016.13. PMID: 26927667; PMCID: PMC4772653.
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Sci Data. 2016 Mar 01;3:160013. doi: 10.1038/sdata.2016.13.

Blended sea level anomaly fields with enhanced coastal coverage along the U.S. West Coast.

Scientific data

C M Risien, P T Strub

Affiliations

  1. College of Earth, Ocean and Atmospheric Sciences, Oregon State University, 104 CEOAS Administration Building, Corvallis, Oregon 97331-5503, USA.

PMID: 26927667 PMCID: PMC4772653 DOI: 10.1038/sdata.2016.13

Abstract

We form a new 'blended' data set of sea level anomaly (SLA) fields by combining gridded daily fields derived from altimeter data with coastal tide gauge data. Within approximately 55-70 km of the coast, the altimeter data are discarded and replaced by a linear interpolation between the tide gauge and remaining offshore altimeter data. To create a common reference height for altimeter and tide gauge data, a 20-year mean is subtracted from each time series (from each tide gauge and altimeter grid point) before combining the data sets to form a blended mean sea level anomaly (SLA) data set. Daily mean fields are produced for the 22-year period 1 January 1993-31 December 2014. The primary validation compares geostrophic velocities calculated from the height fields and velocities measured at four moorings covering the north-south range of the new data set. The blended data set improves the alongshore (meridional) component of the currents, indicating an improvement in the cross-shelf gradient of the mean SLA data set.

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