GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science

We provide a new analysis of glacial isostatic adjustment (GIA) with the goal of assembling the model uncertainty statistics required for rigorously extracting trends in surface mass from the Gravity Recovery and Climate Experiment (GRACE) mission. Such statistics are essential for deciphering sea l...

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Veröffentlicht in:	Geophysical research letters 2018-03, Vol.45 (5), p.2203-2212
Hauptverfasser:	Caron, L., Ivins, E. R., Larour, E., Adhikari, S., Nilsson, J., Blewitt, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Basins Bayesian Bayesian analysis Bedrock Cryosphere Earth Earth structure Evaluation GIA Global positioning systems GPS GRACE GRACE (experiment) Gravity Hydrologic models Hydrology Lower mantle Mathematical models Ocean basins Oceans Polar environments Polar regions Positioning systems Probability theory Sea level Sea level changes Statistical analysis Statistical methods Statistics Trends Uncertainty Viscosity Watersheds
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