Quantifying the Sensitivity of Sea Level Change in Coastal Localities to the Geometry of Polar Ice Mass Flux -- Supplemental Data Set: Sea Level Sensitivity Kernels

• Main Authors: Mitrovica, Jerry X., Hay, Carling C., Kopp, Robert E., Harig, Christopher, Laytchev, Konstantin
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2018
• Subjects: sea level; Antarc*; Antarctic; glacier; Greenland; North Pole; South pole; Alaska
• Online Access: https://doi.org/10.5281/zenodo.1170110

Quantifying the Sensitivity of Sea Level Change in Coastal Localities to the Geometry of Polar Ice Mass Flux SUPPLEMENTAL DATA SET: SEA LEVEL SENSITIVITY KERNELS To accompany Jerry X. Mitrovica, Carling C. Hay, Robert E. Kopp, Christopher Harig, and Konstantin Laytchev (2018). Quantifying the Sensitivity of Sea Level Change in Coastal Localities to the Geometry of Polar Ice Mass Flux. Journal of Climate. doi:10.1175/JCLI-D-17-0465.1. We provide sea level kernels for ~740 tide gauge sites in the Permanent Service for Mean Sea Level (PSMSL) database (Holgate et al., 2013). Kernels associated with sensitivities to Greenland and Alaskan glacier melt are given on a spatial grid covering the globe, with 512 latitude rows (i=1,512) and 1024 longitude (j=1,1024) columns. Longitude values are evenly spaced moving eastward from Greenwich (the jth grid point has an east longitude value of (j-1)×360°/1024). Latitude values are Gauss-Legendre points beginning close to the North Pole and ending near the South Pole. Kernels associated with sensitivities to Antarctic melt are given on a spatial grid covering the globe, with 256 (Gauss-Legendre) latitude rows (i=1,256) and 512 longitude (j=1,512) columns. Longitude values are evenly spaced moving eastward from Greenwich. The format of the files is: grid_sitenumber_region.txt where “region” is either “green” (Greenland), “ant” (Antarctic) or “Alaska” (Alaska). The list of sites (and site numbers) is provided in the sites.txt file. The first 8 sites in this list were test sites and can be ignored.