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  • AMS (American Meteorological Society)  (1)
  • Newark :John Wiley & Sons, Incorporated,  (1)
  • 1
    Online-Ressource
    Online-Ressource
    Newark :John Wiley & Sons, Incorporated,
    Schlagwort(e): Sea level. ; Oceanography. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (456 pages)
    Ausgabe: 1st ed.
    ISBN: 9781444323283
    Sprache: Englisch
    Anmerkung: UNDERSTANDING SEA-LEVEL RISE AND VARIABILITY -- Contents -- Editor Biographies -- Contributors -- Foreword -- Acknowledgments -- Abbreviations and Acronyms -- 1: Introduction -- References -- 2: Impacts of and Responsesto Sea-Level Rise -- 2.1 Introduction -- 2.2 Climate Change and Global/Relative Sea-Level Rise -- 2.3 Sea-Level Rise and Resulting Impacts -- 2.4 Framework and Methods for the Analysis of Sea-Level-Rise Impacts -- 2.5 Recent Impacts of Sea-Level Rise -- 2.6 Future Impacts of Sea-Level Rise -- 2.7 Responding to Sea-Level Rise -- 2.8 Next Steps -- 2.9 Concluding Remarks -- Acknowledgments -- References -- 3: A First-Order Assessment of the Impact of Long-Term Trends in Extreme Sea Levels on Offshore Structures and Coastal Refineries -- 3.1 Introduction -- 3.2 Design Considerations -- 3.3 Impact of Long-Term Trends in Extreme Sea Levels -- 3.4 Evaluating the Economic Impact -- 3.5 Conclusions -- References -- 4: Paleoenvironmental Records, Geophysical Modeling, and Reconstruction of Sea-Level Trends and Variability on Centennial and Longer Timescales -- 4.1 Introduction -- 4.2 Past Sea-Level Changes -- 4.3 Sea-Level Indicators -- 4.4 Geophysical Modeling of Variability in Relative Sea-Level History -- 4.5 Regional Case Studies -- 4.6 Discussion and Conclusions -- Acknowledgments -- References -- 5: Modern Sea-Level-Change Estimates -- 5.1 Introduction -- 5.2 Estimates from Proxy Sea-Level Records -- 5.3 Estimates of Global Sea-Level Change from Tide Gauges -- 5.4 Estimates of Global Sea-Level Change from Satellite Altimetry -- 5.5 Recommendations -- Acknowledgments -- References -- 6: Ocean Temperature and Salinity Contributions to Global and Regional Sea-Level Change -- 6.1 Introduction -- 6.2 Direct Estimates of Steric Sea-Level Rise -- 6.3 Estimating Steric Sea-Level Change Using Ocean Syntheses. , 6.4 Inferring Steric Sea Level from Time-Variable Gravity and Sea Level -- 6.5 Modeling Steric Sea-Level Rise -- 6.6 Conclusions and Recommendations -- Acknowledgments -- References -- 7: Cryospheric Contributions to Sea-Level Rise and Variability -- 7.1 Introduction -- 7.2 Mass-Balance Techniques -- 7.3 Ice-Sheet Mass Balance -- 7.4 Mass Balance of Glaciers and Ice Caps -- 7.5 Glacier, Ice-Cap, and Ice-Sheet Modeling -- 7.6 Summary and Recommendations -- References -- 8: Terrestrial Water-Storage Contributions to Sea-Level Rise and Variability -- 8.1 Introduction -- 8.2 Analysis Tools -- 8.3 Climate-Driven Changes of Terrestrial Water Storage -- 8.4 Direct Anthropogenic Changes of Terrestrial Water Storage -- 8.5 Synthesis -- 8.6 Recommendations -- References -- 9: Geodetic Observations and Global Reference Frame Contributions to Understanding Sea-Level Rise and Variability -- 9.1 Introduction -- 9.2 Global and Regional Reference Systems -- 9.3 Linking GPS to Tide Gauges and Tide-Gauge Benchmarks -- 9.4 Recommendations for Geodetic Observations -- Acknowledgments -- References -- 10: Surface Mass Loading on a Dynamic Earth:Complexity and Contamination in the Geodetic Analysis of Global Sea-Level Trends -- 10.1 Introduction -- 10.2 Glacial Isostatic Adjustment -- 10.3 Sea Level, Sea Surface, and the Geoid -- 10.4 Rapid Melting and Sea-Level Fingerprints -- 10.5 Great Earthquakes -- 10.6 Final Remarks -- Acknowledgments -- References -- 11: Past and Future Changes in Extreme Sea Levels and Waves -- 11.1 Introduction -- 11.2 Evidence for Changes in Extreme Sea Levels and Waves in the Recent Past -- 11.3 Mid-Latitude and Tropical Storms: Changes in the Atmospheric Drivers of Extreme Sea Level -- 11.4 Future Extreme Water Levels -- 11.5 Future Research Needs -- 11.6 Conclusions -- Acknowledgments -- References. , 12: Observing Systems Needed to Address Sea-evel Rise and Variability -- 12.1 Introduction -- 12.2 Sustained, Systematic Observing Systems(Existing Capabilities) -- 12.3 Development of Improved Observing Systems(New Capabilities) -- 12.4 Summary -- References -- 13: Sea-Level Rise and Variability: Synthesis and Outlook for the Future -- 13.1 Historical Sea-Level Change -- 13.2 Why is Sea Level Rising? -- 13.3 The Regional Distribution of Sea-Level Rise -- 13.4 Projections of Sea-Level Rise for the 21st Century and Beyond -- 13.5 Changes in Extreme Events -- 13.6 Sea Level and Society -- References -- Index.
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  • 2
    Publikationsdatum: 2024-02-07
    Beschreibung: The Earth system is accumulating energy due to human-induced activities. More than 90% of this energy has been stored in the ocean as heat since 1970, with similar to 60% of that in the upper 700 m. Differences in upper-ocean heat content anomaly (OHCA) estimates, however, exist. Here, we use a dataset protocol for 1970-2008-with six instrumental bias adjustments applied to expendable bathythermograph (XBT) data, and mapped by six research groups-to evaluate the spatiotemporal spread in upper OHCA estimates arising from two choices: 1) those arising from instrumental bias adjustments and 2) those arising from mathematical (i.e., mapping) techniques to interpolate and extrapolate data in space and time. We also examined the effect of a common ocean mask, which reveals that exclusion of shallow seas can reduce global OHCA estimates up to 13%. Spread due to mapping method is largest in the Indian Ocean and in the eddy-rich and frontal regions of all basins. Spread due to XBT bias adjustment is largest in the Pacific Ocean within 30 degrees N-30 degrees S. In both mapping and XBT cases, spread is higher for 1990-2004. Statistically different trends among mapping methods are found not only in the poorly observed Southern Ocean but also in the well-observed northwest Atlantic. Our results cannot determine the best mapping or bias adjustment schemes, but they identify where important sensitivities exist, and thus where further understanding will help to refine OHCA estimates. These results highlight the need for further coordinated OHCA studies to evaluate the performance of existing mapping methods along with comprehensive assessment of uncertainty estimates.
    Materialart: Article , PeerReviewed
    Format: text
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