Dataset.

Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361488
Digital.CSIC. Repositorio Institucional del CSIC
  • Oelsmann, Julius
  • Marcos, Marta
  • Passaro, Marcello
  • Sánchez, Laura
  • Dettmering, Denise
  • Dangendorf, Sönke
  • Seitz, Florian
This is a data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'. It presents a global-scale Vertical Land Motion (VLM) reconstruction that resolves height changes in the period 1995-2020. It is based on the joint probabilistic analysis of an extensive network of more than 11,000 GNSS stations, tide gauges, and satellite altimetry. The approach used to derive this reconstruction is described in the paper. The dataset variables are explained in the .pdf file., Peer reviewed
 
DOI: http://hdl.handle.net/10261/361488
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361488

HANDLE: http://hdl.handle.net/10261/361488
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361488
 
Ver en: http://hdl.handle.net/10261/361488
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361488

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/361488
Dataset. 2023

DATA SUPPLEMENT TO 'VERTICAL LAND MOTION RECONSTRUCTION UNVEILS NON-LINEAR EFFECTS ON RELATIVE SEA LEVEL CHANGES FROM 1900-2150'

Digital.CSIC. Repositorio Institucional del CSIC
  • Oelsmann, Julius
  • Marcos, Marta
  • Passaro, Marcello
  • Sánchez, Laura
  • Dettmering, Denise
  • Dangendorf, Sönke
  • Seitz, Florian
This is a data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150'. It presents a global-scale Vertical Land Motion (VLM) reconstruction that resolves height changes in the period 1995-2020. It is based on the joint probabilistic analysis of an extensive network of more than 11,000 GNSS stations, tide gauges, and satellite altimetry. The approach used to derive this reconstruction is described in the paper. The dataset variables are explained in the .pdf file., Peer reviewed




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