DOI: 10.5281/zenodo.18199756
title: Vertical land motion data for FACTS

description: Vertical land motion (VLM) data for FACTS.

 

Contains:



GIA_stats.nc           

NGL14_CMR_corrected.nc                                      

VLM_reconstruction.nc

dist2coast_1deg_v2.grd  

ssp585.2150.fair2.emuGLA.emulandice2.glaciers_quantiles.nc


 

GIA_stats.nc           

The GIA data comes from:

Caron, L., Ivins, E. R., Larour, E., Adhikari, S., Nilsson, J., & Blewitt, G. (2018). GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science. Geophysical Research Letters, 45(5), 2203–2212. https://doi.org/10.1002/2017GL076644

Also available here:

Thomas Frederikse, Lambert Caron, & Felix Landerer. (2019). The imprints of contemporary mass redistribution on regional sea level and vertical land motion observations. https://doi.org/10.5281/zenodo.3485577

 

 

NGL14_CMR_corrected.nc:

These GNSS trends heavily rely on the data archiving, processing work done at Nevada Geodetic Laboratory, as well as the MIDAS trend estimator.

1. Blewitt, Geoffrey, Corné Kreemer, William C. Hammond, and Julien Gazeaux. “MIDAS Robust Trend Estimator for Accurate GPS Station Velocities without Step Detection.” Journal of Geophysical Research: Solid Earth 121, no. 3 (March 2016): 2054–68. https://doi.org/10.1002/2015JB012552.2. Blewitt, Geoffrey, William Hammond, and Corné Kreemer. “Harnessing the GPS Data Explosion for Interdisciplinary Science.” Eos 99 (September 24, 2018). https://doi.org/10.1029/2018EO104623.

The CMR correction comes from:

Frederikse, T., Landerer, F., Caron, L. et al. The causes of sea-level rise since 1900. Nature 584, 393–397 (2020). https://doi.org/10.1038/s41586-020-2591-3

 

VLM_reconstruction.nc: 

The VLM reconstruction is from

Julius Oelsmann, Marta Marcos, Marcello Passaro, Laura Sanchez, Denise Dettmering, Sönke Dangendorf, & Florian Seitz. (2023). Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150' (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8308347

… and contains other source data:

Oelsmann, J., Marcos, M., Passaro, M., Sánchez, L., Dettmering, D., Dangendorf, S., and Seitz, F. (2023): Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150.

Oelsmann, J.; Passaro, M.; Sánchez, L.; Dettmering, D.; Schwatke, C.; Seitz, F.; Bayesian modelling of piecewise trends and discontinuities to improve the estimation of coastal vertical land motion. Submitted to Journal of Geodesy, 2021

Blewitt G, Kreemer C, Hammond WC, Gazeaux J (2016) Midas robust trend estimator for accurate gps station velocities without step detection. Journal of Geophysical Research: Solid Earth 121(3):2054–2068, DOI 10.1002/2015JB01255

Holgate SJ, Matthews A, Woodworth PL, Rickards LJ, Tamisiea ME, Bradshaw E, Fo-den PR, Gordon KM, Jevrejeva S, Pugh J (2013) New Data Systems and Products at the Permanent Service for Mean Sea Level. Journal of Coastal Research pp 493–504, DOI 10.2112/JCOASTRES-D-12-00175.1, URLhttps://doi.org/10.2112/JCOASTRES-D-12-00175.1

 

dist2coast_1deg_v2.grd: 

Distance to Nearest Coastline: 0.01-Degree Grid (global dataset), generated by NASA’s Ocean Biology Processing Group (OBPG) using Generic Mapping Tools; distributed by the Pacific Islands Ocean Observing System (PacIOOS).

 

ssp585.2150.fair2.emuGLA.emulandice2.glaciers_quantiles.nc: 

FACTS output sample