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2. Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data

3. Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles

4. Understanding of Contemporary Regional Sea‐Level Change and the Implications for the Future

9. Introduction

10. Global Oceans

14. Assessing regional biases in satellite radar altimeter missions for monitoring Long-term sea level change

15. Introduction STATE OF THE CLIMATE IN 2022

16. Ocean mass, sterodynamic effects, and vertical land motion largely explain US coast relative sea level rise

17. Global Oceans

18. Assessment of Sea Level Rise and Associated Impacts for Tuvalu

19. Estimation of the Sea State Bias Using the Interpolation Method and Applications to Inter-Mission Calibration.

20. Estimation of the sea state bias error budget for pulse-limited satellite altimetry.

23. Sea-level rise in Denmark: paleo context, recent projections and policy implications

26. Sea-Level Rise by 2100

27. Global Oceans, BAMS State of the Climate in 2021, Chapter 3

28. Global Oceans

30. Global Oceans [in “State of the Climate in 2020”]

31. Sea-level rise in Denmark:paleo context, recent projections and policy implications

33. Understanding Forced Climate Signals in the 30-year Satellite Altimeter Sea Level Record

34. Empirical, Nonparametric Estimation of the Sea State Bias using the Interpolation Method

39. Global Oceans

41. State of the climate in 2020, Global Oceans

42. Global Oceans

43. Gulf of Mexico Loop-Current Signature Observed From GNSS-R Phase Altimetry Based on Spire Global CubeSat Data

46. Understanding of contemporary regional sea-level change and the implications for the future

47. Global Oceans

48. Understanding of Contemporary Regional Sea‐Level Change and the Implications for the Future

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