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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Artificial satellites in earth sciences. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (509 pages)
    Edition: 1st ed.
    ISBN: 9780080516585
    Series Statement: Issn Series ; v.Volume 69
    DDC: 551.46/0028
    Language: English
    Note: Cover -- Contents -- Contributors -- Preface -- Chapter 1. Satellite Altimetry -- 1. Introduction -- 2. Radar Measurement Principles -- 3. Range Estimation -- 4. Precision Orbit Determination -- 5. Geophysical Effects on the Sea Surface Topography -- 6. Significant Wave Height Estimation -- 7. Wind-Speed Estimation -- 8. TOPEX/POSEIDON Mission Design and Performance -- 9. Outlook for Future Altimeter Missions -- Acknowledgments -- References -- Chapter 2. Large-Scale Ocean Circulation -- 1. Introduction -- 2. The Ocean General Circulation -- 3. The Temporal Variability -- 4. Conclusions -- Acknowledgments -- References -- Chapter 3. Ocean Currents and Eddies -- 1. Introduction -- 2. Altimeter Data Processing for Mesoscale Studies -- 3. Ocean Currents -- 4. Mesoscale Eddies -- 5. Conclusions -- Acknowledgments -- References -- Chapter 4. Tropical Ocean Variability -- 1. Introduction -- 2. Tropical Pacific -- 3. Indian Ocean -- 4. Tropical Atlantic -- 5. Conclusion -- Acknowledgments -- References -- Chapter 5. Data Assimilation by Models -- 1. Introduction -- 2. Examples and Merits of Data Assimilation -- 3. Data Assimilation as an Inverse Problem -- 4. Assimilation Methodologies -- 5. Practical Issues of Assimilation -- 6. Summary and Outlook -- Acknowledgments -- References -- Chapter 6. Ocean Tides -- 1. Introduction -- 2. Mathematical Representation of Ocean Tides -- 3. Status Before High-Precision Satellite Altimetry -- 4. Methodologies for Extracting Ocean Tides from Altimetry -- 5. The Semi-Diurnal and Diurnal Tides over the Deep Ocean -- 6. The Long Period Ocean Tides -- 7. Internal Tides -- 8. The Tides over Shallow Waters -- 9. Tidal Energetics and Satellite Altimetry -- 10. Applications -- 11. Conclusions -- Acknowledgments -- References -- Chapter 7. Ocean Surface Waves -- 1. Introduction -- 2. Wave Modeling and Altimetry. , 3. Wave Climate Studies with Altimeter Data -- 4. Conclusions -- 5. Glossary -- Acknowledgments -- References -- Chapter 8. Sea Level Change -- 1. Introduction -- 2. The Tide Gauge Record and its Limitations -- 3. Satellite Altimeter Measurements of Sea-Level Change -- 4. Calibration of Satellite Altimeter Measurements Using Tide Gauge Data -- 5. Detecting Changes in the Rate of Sea-Level Rise -- 6. Global Mean Changes in Sea Level, Sea-Surface Temperature, and Precipitable Water -- 7. Spatial Variations of Sea-Level Change and Sea-Surface Temperature -- 8. Linking Together Different Satellite Altimeter Missions -- 9. Conclusions -- Acknowledgments -- References -- Chapter 9. Ice Sheet Dynamics and Mass Balance -- 1. Introduction -- 2. Radar Altimeter Measurement of Ice Sheet Surface Elevations -- 3. Greenland and Antarctica Ice Sheet Topography -- 4. Ice Surface Slopes and Driving Stresses -- 5. Measurement of Ice Margins -- 6. Surface Elevation Changes and Mass Balance -- Acknowledgments -- References -- Chapter 10. Applications to Geodesy -- 1. Introduction -- 2. Mean Sea Surface Mapping -- 3. Gravity Recovery -- 4. New Frontiers -- 5. Concluding Remarks -- Acknowledgments -- References -- Chapter 11. Applications to Marine Geophysics -- 1. Introduction -- 2. Filtering the Long-Wavelength Geoid Signal -- 3. Geoid Anomalies and Isostatic Compensation -- 4. Mechanical Behavior of Oceanic Plates: Flexure under Seamount Loading -- 5. Thermal Evolution of the Oceanic Lithosphere -- 6. Oceanic Hotspot Swells -- 7. Short and Medium Wavelength Lineations in the Marine Geoid -- 8. Mapping the Seafloor Tectonic Fabric -- 9. Conclusions -- Acknowledgments -- References -- Chapter 12. Bathymetric Estimation -- 1. Introduction -- 2. Gravity Anomaly and Sea Surface Slopes -- 3. Limitations of Radar Alitmetry for Gravity Field Recovery -- 4. Forward Models. , 5. Inverse Approaches -- 6. Data Availability and Case Study: Bathymetric Estimation -- 7. Prospects for the Future -- 8. Appendix: Interaction of the Radar Pulse with the Rough Ocean Surface -- References -- Index -- Color Plate Section.
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  • 2
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    PANGAEA
    In:  Supplement to: Llovel, William; Becker, Melanie; Cazenave, Anny; Crétaux, Jean-François; Ramillien, Guillaume (2010): Global land water storage change from GRACE over 2002-2009; Inference on sea level. Comptes Rendus Geoscience, 342(2), 179-188, https://doi.org/10.1016/j.crte.2009.12.004
    Publication Date: 2023-12-13
    Description: Global change in land water storage and its effect on sea level is estimated over a 7-year time span (August 2002 to July 2009) using space gravimetry data from GRACE. The 33 World largest river basins are considered. We focus on the year-to-year variability and construct a total land water storage time series that we further express in equivalent sea level time series. The short-term trend in total water storage adjusted over this 7-year time span is positive and amounts to 80.6 ± 15.7 km**3/yr (net water storage excess). Most of the positive contribution arises from the Amazon and Siberian basins (Lena and Yenisei), followed by the Zambezi, Orinoco and Ob basins. The largest negative contributions (water deficit) come from the Mississippi, Ganges, Brahmaputra, Aral, Euphrates, Indus and Parana. Expressed in terms of equivalent sea level, total water volume change over 2002-2009 leads to a small negative contribution to sea level of -0.22 ± 0.05 mm/yr. The time series for each basin clearly show that year-to-year variability dominates so that the value estimated in this study cannot be considered as representative of a long-term trend. We also compare the interannual variability of total land water storage (removing the mean trend over the studied time span) with interannual variability in sea level (corrected for thermal expansion). A correlation of ~0.6 is found. Phasing, in particular, is correct. Thus, at least part of the interannual variability of the global mean sea level can be attributed to land water storage fluctuations.
    Keywords: Area; Error, absolute; GRACE satellite data, processed; International Polar Year (2007-2008); ipy; IPY; ORDINAL NUMBER; River; Water storage, trend
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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