Local sea level trends, accelerations and uncertainties over 1993–2019

Author:

Prandi PierreORCID,Meyssignac BenoitORCID,Ablain Michaël,Spada Giorgio,Ribes AurélienORCID,Benveniste Jérôme

Abstract

AbstractSatellite altimetry missions provide a quasi-global synoptic view of sea level variations over more than 25 years and provide regional sea level (SL) indicators such as trends and accelerations. Estimating realistic uncertainties on these quantities is crucial to address current climate science questions. While uncertainty estimates are available for the global mean sea level (GMSL), information is not available at local scales so far. We estimate a local satellite altimetry error budget and use it to derive local error variance-covariance matrices, and estimate confidence intervals on trends and accelerations at the 90% confidence level. Over 1993–2019, we find that the average local sea level trend uncertainty is 0.83 mm.yr−1 with values ranging from 0.78 to 1.22 mm.yr−1. For accelerations, uncertainties range from 0.057 to 0.12 mm.yr−1, with a mean value of 0.062. We also perform a sensitivity study to investigate a range of plausible error budgets. Local error levels, error variance-covariance matrices, SL trends and accelerations, along with corresponding uncertainties are provided.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference42 articles.

1. Church, J. A. et al. Sea level change. In Stocker, T. F., Qin, D. & Plattner, G.-K. (eds.) Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 1137–1216 (Cambridge University Press, Cambridge, New York, 2013).

2. Oppenheimer, M. et al. Sea level rise and implications for low-lying islands, coasts and communities. In Pötner, H.-O. et al. (eds.) IPCC, 2019: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, chap. 4 (2019).

3. Wong, P. et al. Coastal systems and low-lying areas. In Field, C. et al. (eds.) Climate Change 2014: Impacts,Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 361–409 (Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2014).

4. Slangen, A. B. A. et al. A review of recent updates of sea-level projections at global and regional scales. Surv. Geophys. 38, 385–406, https://doi.org/10.1007/s10712-016-9374-2 (2017).

5. Meyssignac, B. et al. Evaluating model simulations of twentieth-century sea-level rise. part ii: Regional sea-level changes. Journal of Climate 30, 8565–8593, https://doi.org/10.1175/JCLI-D-17-0112.1 (2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3