Why and how to predict sea level changes at a tide gauge station with prediction intervals

Articles in the same Issue

1. Modeling the North American vertical datum of 1988 errors in the conterminous United States
2. A numerical test of the topographic bias
3. Bayesian statistics and Monte Carlo methods
4. On the topographic bias and density distribution in modelling the geoid and orthometric heights
5. First results of the Nordic and Baltic GNSS Analysis Centre
6. A case study on displacement analysis of Vasa warship
7. The effect of regional sea level atmospheric pressure on sea level variations at globally distributed tide gauge stations with long records
8. Evaluation of recent combined global geopotential models in Brazil
9. Hypothesis Testing in Non-Linear Models Exemplified by the Planar Coordinate Transformations
10. The changing mass of glaciers on the Tibetan Plateau, 2002–2016, using time-variable gravity from the GRACE satellite mission
11. On the geoid and orthometric height vs. quasigeoid and normal height
12. Why and how to predict sea level changes at a tide gauge station with prediction intervals
13. Sea level accelerations at globally distributed tide gauge stations during the satellite altimetry era
14. Assessment of sparse GNSS network for network RTK
15. Evaluation of Gravity Data Derived from Global Gravity Field Models Using Terrestrial Gravity Data in Enugu State, Nigeria
16. Optimal biased Kriging: Homeogram tapering and applications to geoid undulations in Korea
17. Fast computation of sine/cosine series coefficients of associated Legendre function of arbitrary high degree and order