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### Data supplement for 'Evaluation of the local sea-level budget at tide gauges since 1958' Authors: Jinping Wang, John A. Church, Xuebin Zhang, Jonathan M. Gregory, Laure Zanna and Xianyao Chen Created 9/5/2020 Please email wangjinping@ouc.edu for questions. ---------------------------------------------------------------------------------------------------- ### PLEASE CITE THE APPROPRIATE PAPERS WHEN USING THIS DATA ### Please cite 'Evaluation of the local sea-level budget at tide gauges since 1958' when using this data set. Our results heavily relies on previous work, and please acknowledge the previous work by citing the original sources of the data. The Data Availability Statement section of 'Evaluation of the local sea-level budget at tide gauges since 1958' contains the full list of sources of all the original data. ---------------------------------------------------------------------------------------------------- This data supplement contains the following files: separate_components_rsl.mat Spatial patterns of relative sea level trend (mm/yr) are provided for individual component. lon = longitude lat = latitude sdsl = sterodynamic sea level barystatic_grd = the sum of all barystatic-GRD fingerprints glacier = glacier contribution including charted and uncharted glaciers ice_sheet = the sum of Greenland and Antarctic ice sheets gia = glacial isostatic adjustment tws = terrestrial water storage sum = the sum of all contributions GMSL.mat Global mean time series of sea level and each components (mm). The variable names are the same with those in separate_components_rsl.mat recons_mean = the ensemble mean of GMSL reconstructions (including Church & White, 2011; Dangendorf et al., 2019; Frederikse et al., 2020; Hay et al., 2015) components_TG_locations.mat All tide gauge observations and the individual contribution (mmm/yr). The variable names are the same with those in separate_components_rsl.mat tgobs = tide gauge observations tgobs_ovlm = tide gauge observations with other VLM correction applied VLM_components.mat VLM estimate and its individual components (mm/yr). vlm_total = total VLM vlm_bgrd = barystatic-GRD VLM component vlm_gia = GIA-related VLM component vlm_other = other local VLM component vlm_total_uncertianty90 = 90% confidence level for total VLM vlm_bgrd = 90% confidence level for barystatic-GRD VLM component vlm_gia = 90% confidence level for GIA-related VLM component vlm_other = 90% confidence level for other local VLM component
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