Data supplement for manuscript "Seasonal cycle in sea level across the coastal zone" by Rui Ponte, Michael Schindelegger, submitted to Earth and Space Science, 2024. Content:This repository contains amplitude and phase estimates for the mean annual (Sa) and semiannual (Ssa) oscillations in sea level, as observed by satellite altimetry and tide gauges. We also provide related determinations of Sa/Ssa in manometric sea level, steric sea level, and in several secondary phenomena that are typically considered as corrections to altimetric sea levels or tide gauge observations (e.g., inverted barometer effect, vertical land motion):altimetric.tar.gz: Sa/Ssa in gridded DUACS and MEaSUREs altimetry, and the regional X-TRACK-L2P along-track product (10.24400/527896/a01-2022.020); all standard altimetry corrections have been applied to these data.tgauges_harmonics.dat: Sa/Ssa estimates at 747 globally distributed tide gauges from the GESLA-3 database (https://gesla787883612.wordpress.com/). The harmonics are not corrected for the inverted barometer effect.manometric_steric.tar.gz: Gridded Sa/Ssa estimates in manometric sea level, derived from GSFC GRACE 1° mascons, and steric sea level, as deduced from a hydrographic atlas (WOA2023).corrections.tar.gz: Sa/Ssa contributions to the oceanic inverted barometer, the astronomical tides, and vertical land motion, along with an estimate for the annual pole tide signal.The respective files contain a few more relevant specifications such as data sources, underlying grids, and time periods considered for the analysis. Important notes:Phases are referred to the vernal equinox, and NOT the beginning of the calendar year. See Ray et al. (2021) for a pertinent discussion.Amplitudes of the corrective fields are in (mm), all other amplitudes are in (cm). Terms of usage:If you use the DUACS or MEaSUREs seasonal cycle estimates or the corrective fields, please cite: Ray, R.D., Loomis, B.D. & Zlotnicki, V. (2021). The mean seasonal cycle in relative sea level from satellite altimetry and gravimetry. Journal of Geodesy, 95, 80. https://doi.org/10.1007/s00190-021-01529-1.If you use any of the other datasets (i.e., seasonal cycle in X-TRACK, tide gauges, manometric and steric sea level), please cite: Ponte, R.M. & Schindelegger, M. (2024). Seasonal cycle in sea level across the coastal zone. ESS Open Archive [preprint]. doi: 10.22541/essoar.172736425.52711759/v1.----Contact: M. Schindelegger ([email protected])

Data supplement for manuscript "Seasonal cycle in sea level across the coastal zone" by Rui Ponte, Michael Schindelegger, submitted to Earth and Space Science, 2024. Content:This repository contains amplitude and phase estimates for the mean annual (Sa) and semiannual (Ssa) oscillations in sea level, as observed by satellite altimetry and tide gauges. We also provide related determinations of Sa/Ssa in manometric sea level, steric sea level, and in several secondary phenomena that are typically considered as corrections to altimetric sea levels or tide gauge observations (e.g., inverted barometer effect, vertical land motion):altimetric.tar.gz: Sa/Ssa in gridded DUACS and MEaSUREs altimetry, and the regional X-TRACK-L2P along-track product (10.24400/527896/a01-2022.020); all standard altimetry corrections have been applied to these data.tgauges_harmonics.dat: Sa/Ssa estimates at 747 globally distributed tide gauges from the GESLA-3 database (https://gesla787883612.wordpress.com/). The harmonics are not corrected for the inverted barometer effect.manometric_steric.tar.gz: Gridded Sa/Ssa estimates in manometric sea level, derived from GSFC GRACE 1° mascons, and steric sea level, as deduced from a hydrographic atlas (WOA2023).corrections.tar.gz: Sa/Ssa contributions to the oceanic inverted barometer, the astronomical tides, and vertical land motion, along with an estimate for the annual pole tide signal.The respective files contain a few more relevant specifications such as data sources, underlying grids, and time periods considered for the analysis. Important notes:Phases are referred to the vernal equinox, and NOT the beginning of the calendar year. See Ray et al. (2021) for a pertinent discussion.Amplitudes of the corrective fields are in (mm), all other amplitudes are in (cm). Terms of usage:If you use the DUACS or MEaSUREs seasonal cycle estimates or the corrective fields, please cite: Ray, R.D., Loomis, B.D. & Zlotnicki, V. (2021). The mean seasonal cycle in relative sea level from satellite altimetry and gravimetry. Journal of Geodesy, 95, 80. https://doi.org/10.1007/s00190-021-01529-1.If you use any of the other datasets (i.e., seasonal cycle in X-TRACK, tide gauges, manometric and steric sea level), please cite: Ponte, R.M. & Schindelegger, M. (2024). Seasonal cycle in sea level across the coastal zone. ESS Open Archive [preprint]. doi: 10.22541/essoar.172736425.52711759/v1.----Contact: M. Schindelegger ([email protected])

Data supplement for manuscript Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., and Penduff, T.: Chaotic oceanic excitation of low-frequency polar motion variability, Earth System Dynamics, 16, 75–90,  https://doi.org/10.5194/esd-16-75-2025. Provided are the following monthly angular momentum time series, 1995-2015:Atmospheric angular momentum: AAM_ERA_Int_monthly_1995-2015.aamOceanic angular momentum:OAM_OCCIPUT_EnsMean_monthly_1995-2015.oamOAM_OCCIPUT_ens*_monthly_1995-2015.oamHydrologic angular momentum: HAM_SLR_DORIS_monthly_1995-2015.ascCryospheric angular momentum:Cryo_AM_Greenland_SLR_DORIS_monthly_1995-2015.ascCryo_AM_Antarctica_SLR_DORIS_monthly_1995-2015.ascGravitational attraction and loading angular momentum: GAL_SLR_DORIS_monthly_1995-2015.asc For content see ReadMe.txt. Terms of usage:If you use the OAM time series, please cite: Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., and Penduff, T.: Chaotic oceanic excitation of low-frequency polar motion variability, Earth System Dynamics, 16, 75–90,  https://doi.org/10.5194/esd-16-75-2025.Bessières, L., Leroux, S., Brankart, J.M., Molines, J.M., Moine, M.P., Bouttier, P.A., Penduff, T., Terray, L., Barnier, B., Sérazin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: Application at eddying resolution. Geosci. Model Dev. 10, 1091–1106. doi:10.5194/gmd-10-1091-2017.Hogg, A.M., Penduff, T., Close, S.E., Dewar, W.K., Constantinou, N.C., Mart ́ınez-Moreno, J., 2022. Circumpolar variations in the chaotic nature of Southern Ocean eddy dynamics. J. Geophys. Res. Oceans 127, e2022JC018440. doi:10.1029/2022JC018440.Penduff, T., Bernier, B., Terray, L., Bessières, L., Sérazin, G., Gregorio, S., Brankart, J.M., Moine, M.P., Brankart, J.M., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate. CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling 19, 26–29.  If you use the angular momentum estimates of the other geophysical fluids, please cite: Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., and Penduff, T.: Chaotic oceanic excitation of low-frequency polar motion variability, Earth System Dynamics, 16, 75–90,  https://doi.org/10.5194/esd-16-75-2025. Contact: L. Börger ([email protected])

Data supplement for manuscript Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., and Penduff, T.: Chaotic oceanic excitation of low-frequency polar motion variability, Earth System Dynamics, 16, 75–90,  https://doi.org/10.5194/esd-16-75-2025. Provided are the following monthly angular momentum time series, 1995-2015:Atmospheric angular momentum: AAM_ERA_Int_monthly_1995-2015.aamOceanic angular momentum:OAM_OCCIPUT_EnsMean_monthly_1995-2015.oamOAM_OCCIPUT_ens*_monthly_1995-2015.oamHydrologic angular momentum: HAM_SLR_DORIS_monthly_1995-2015.ascCryospheric angular momentum:Cryo_AM_Greenland_SLR_DORIS_monthly_1995-2015.ascCryo_AM_Antarctica_SLR_DORIS_monthly_1995-2015.ascGravitational attraction and loading angular momentum: GAL_SLR_DORIS_monthly_1995-2015.asc For content see ReadMe.txt. Terms of usage:If you use the OAM time series, please cite: Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., and Penduff, T.: Chaotic oceanic excitation of low-frequency polar motion variability, Earth System Dynamics, 16, 75–90,  https://doi.org/10.5194/esd-16-75-2025.Bessières, L., Leroux, S., Brankart, J.M., Molines, J.M., Moine, M.P., Bouttier, P.A., Penduff, T., Terray, L., Barnier, B., Sérazin, G., 2017. Development of a probabilistic ocean modelling system based on NEMO 3.5: Application at eddying resolution. Geosci. Model Dev. 10, 1091–1106. doi:10.5194/gmd-10-1091-2017.Hogg, A.M., Penduff, T., Close, S.E., Dewar, W.K., Constantinou, N.C., Mart ́ınez-Moreno, J., 2022. Circumpolar variations in the chaotic nature of Southern Ocean eddy dynamics. J. Geophys. Res. Oceans 127, e2022JC018440. doi:10.1029/2022JC018440.Penduff, T., Bernier, B., Terray, L., Bessières, L., Sérazin, G., Gregorio, S., Brankart, J.M., Moine, M.P., Brankart, J.M., Brasseur, P., 2014. Ensembles of eddying ocean simulations for climate. CLIVAR Exchanges, Special Issue on High Resolution Ocean Climate Modelling 19, 26–29.  If you use the angular momentum estimates of the other geophysical fluids, please cite: Börger, L., Schindelegger, M., Zhao, M., Ponte, R. M., Löcher, A., Uebbing, B., Molines, J.-M., and Penduff, T.: Chaotic oceanic excitation of low-frequency polar motion variability, Earth System Dynamics, 16, 75–90,  https://doi.org/10.5194/esd-16-75-2025. Contact: L. Börger ([email protected])

Files contain gridded daily averages of ocean bottom pressure at latitudes poleward of 60N (North), covering the period 1992-2017. File obp_all_forcing.nc represents variability forced by all surface atmospheric fields, including barometric pressure loading, as derived from the ECCO (Estimating the Circulation and Climate of the Ocean) Version 4 Release 4 state estimate available at https://podaac.jpl.nasa.gov/announcements/2021-04-27-ECCO-Version-4-Datasets-Release. File obp_all_but_pres_forcing.nc represents variability forced by all surface atmospheric fields except barometric pressure loading. The two files can be used to isolate the response to barometric pressure loading for further analysis.

Files contain gridded daily averages of ocean bottom pressure at latitudes poleward of 60N (North), covering the period 1992-2017. File obp_all_forcing.nc represents variability forced by all surface atmospheric fields, including barometric pressure loading, as derived from the ECCO (Estimating the Circulation and Climate of the Ocean) Version 4 Release 4 state estimate available at https://podaac.jpl.nasa.gov/announcements/2021-04-27-ECCO-Version-4-Datasets-Release. File obp_all_but_pres_forcing.nc represents variability forced by all surface atmospheric fields except barometric pressure loading. The two files can be used to isolate the response to barometric pressure loading for further analysis.