Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data

Earth and Planetary Sciences

1. GRACE 100%
2. Water Storage 97%
3. Model 55%
4. Groundwater 40%
5. Time 35%
6. Dynamic Models 33%
7. Reconstruction 33%
8. United States 33%
9. Satellite Data 33%
10. Teleconnection 33%
11. Soil Water Storage 33%
12. Drought 33%
13. Swarm Satellite 33%
14. Climate Change 27%
15. Data Assimilation 27%
16. Markov Chain Monte Carlo 27%
17. Estimate 25%
18. European Space Agency 16%
19. Soil Moisture 15%
20. River Basin 15%
21. Show 13%
22. Satellite Mission 13%
23. Earth 13%
24. Southern Oscillation 12%
25. Spatial Resolution 11%
26. Water Balance 11%
27. Earth's Gravity Field 11%
28. Timescale 10%
29. Water Flux 10%
30. Investigation 10%
31. Surface Water 9%
32. GRACE Mission 8%
33. Covering 8%
34. In Situ 7%
35. Water Cycle 7%
36. Compartment 7%
37. Output 7%
38. Noise Reduction 5%
39. Improvement 5%
40. Fill 5%
41. Climate Variation 5%
42. Forest 5%
43. Climate 5%
44. Accounting 5%
45. Soil 5%
46. Planetary Atmosphere 5%
47. Vegetation 5%
48. Proving 5%
49. Goal 5%
50. Groundwater Storage 5%
51. Analogy 5%
52. Water Use 5%
53. Hybrid 5%
54. Product 5%
55. Asia 5%
56. Area 5%
57. Northern Africa 5%
58. Structural Basin 5%
59. Month 5%