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Collaborative Research: How Robust Are Common-Era Sea-Level Reconstructions?

Collaborative Research: How Robust Are Common-Era Sea-Level Reconstructions?
合作研究:共纪海平面重建有多稳健?
批准号:
2002437
负责人:
Robert Kopp
金额:
$35.78万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-06-01 至 2023-05-31

项目摘要

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中文摘要
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英文摘要
Sea-level rise is one of the most challenging aspects of climate change. In order to be confident in predictions of future sea level estimates, it is important to clearly understand how and why sea level changed naturally in the past. This project will collect field data and perform computer modeling to improve our understanding of the main factors that control average sea level during the Common Era (past ~2,000 years). For example, changes in wind and ocean currents, water temperature, and the rebound of land surfaces caused by removing the weight of ice or sediments all contribute to changes in the record of sea level at any location. This project will examine the origin and nature of uncertainties that enter into sea level reconstructions based on errors in estimating each of these factors in the past. The project will not only help scientists improve our understanding of the causes of sea level changes, but it also will help coastal planners by providing better models for projecting sea-level changes into the future. The project will also support three young scientists, deepening their field, laboratory, and modeling skills.Understanding sea level during the Common Era is central to establishing the uniqueness of modern sea-level rise related to anthropogenic climate change, identifying links between sea level and natural climate variability, and training semi-empirical models of future sea-level rise. Past studies estimate global-mean sea level during the Common Era using proxy records. These estimates differ substantially in terms of global-mean sea-level variability during pre-industrial times. It remains to establish how sensitive these estimates are to various uncertainties, assumptions, and choices involved in producing global-mean sea-level time series from the raw data. A detailed study of the robustness and reproducibility of Common-Era sea-level reconstructions based on field, laboratory, and modeling analyses is proposed. Objectives include: (1) determine the reproducibility of high-resolution salt-marsh sea-level reconstructions; and (2) quantify the robustness of model estimates of Common-Era global-mean sea level. Outcomes will fill basic knowledge gaps, advancing understanding of the Common Era, and leading to better characterization of trends, patterns, and causes of pre- and post-industrial sea-level change. By documenting past spatiotemporal variability of sea level, evaluating associated rates of change during the Common Era, and identifying links to ocean circulation and climate, the project will contribute to achieving the goals and scientific objectives of the Paleo Perspectives on Climate Change (P2C2) program. Efforts will make progress towards the broader goals of sea-level research related to the sensitivity of ice sheets to climate change, the response of the solid Earth to redistribution of ice mass, and the assimilation of proxy records and instrumental observations within a coherent probabilistic framework.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1126/science.abo7872
发表时间: 2022-07
期刊: Science
影响因子: 56.9
作者: [N. Saintilan;K. Kovalenko;G. Guntenspergen;Kerrylee Rogers;J. Lynch;D. Cahoon;C. Lovelock;D. Friess;Erica L. Ashe;K. Krauss;N. Cormier;T. Spencer;J. Adams;J. Raw;C. Ibáñez;F. Scarton;S. Temmerman;P. Meire;T. Maris;K. Thorne;John Brazner;G. Chmura;Tony M. Bowron;V. P. Gamage;Kimberly A. Cressman;C. Endris;Cristina Marconi;P. Marcum;Kari A. St. Laurent;William Reay;K. Raposa;Jason A. Garwood;N. Khan]
通讯作者: N. Saintilan;K. Kovalenko;G. Guntenspergen;Kerrylee Rogers;J. Lynch;D. Cahoon;C. Lovelock;D. Friess;Erica L. Ashe;K. Krauss;N. Cormier;T. Spencer;J. Adams;J. Raw;C. Ibáñez;F. Scarton;S. Temmerman;P. Meire;T. Maris;K. Thorne;John Brazner;G. Chmura;Tony M. Bowron;V. P. Gamage;Kimberly A. Cressman;C. Endris;Cristina Marconi;P. Marcum;Kari A. St. Laurent;William Reay;K. Raposa;Jason A. Garwood;N. Khan
DOI: 10.1038/s41586-021-03427-0
发表时间: 2021-05-06
期刊: NATURE
影响因子: 64.8
作者: [DeConto, Robert M., Pollard, David, Dutton, Andrea]
通讯作者: Dutton, Andrea
DOI: 10.5194/ascmo-8-1-2022
发表时间: 2022
期刊: Meteorology and Oceanography
影响因子: --
作者: [Ashe, Erica L., Khan, Nicole S., Toth, Lauren T., Dutton, Andrea, Kopp, Robert E.]
通讯作者: Kopp, Robert E.
DOI: 10.1016/j.quascirev.2022.107422
发表时间: 2022-03-15
期刊: QUATERNARY SCIENCE REVIEWS
影响因子: 4
作者: [Creel, Roger C., Austermann, Jacqueline, Menke, William]
通讯作者: Menke, William
EAR-Climate: Catalytic: A Modern Spatio-Temporal Hierarchical Modeling Framework for Paleo-Environmental Data (PaleoSTeHM)
  • 批准号:
    2148265
  • 项目类别:
    Standard Grant
  • 资助金额:
    $80.08万
  • 财政年份:
    2022
  • 负责人:
    Robert Kopp
  • 依托单位:
Large-scale CoPe: Megalopolitan Coastal Transformation Hub (MACH): Researching complex interactions between climate hazards and communities to inform governance of coastal risk.
  • 批准号:
    2103754
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1993.59万
  • 财政年份:
    2021
  • 负责人:
    Robert Kopp
  • 依托单位:
Collaborative Research: P2C2 -- Connecting Common Era climate and sea level variability along the Eastern North American coastline
  • 批准号:
    1804999
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.73万
  • 财政年份:
    2018
  • 负责人:
    Robert Kopp
  • 依托单位:
Collaborative Research: Multi-proxy sea-level reconstructions and projections in the middle Pacific Ocean
  • 批准号:
    1831450
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.27万
  • 财政年份:
    2018
  • 负责人:
    Robert Kopp
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)