From MFKP_wiki

Jump to: navigation, search


Sea-level rise scenarios and coastal risk management

Jochen Hinkel, Carlo Jaeger, Robert J. Nicholls, Jason Lowe, Ortwin Renn, Shi Peijun

The IPCC's global mean sea-level rise scenarios do not necessarily provide the right information for coastal decision-making and risk management.
Global mean sea-level (GMSL) rise is a major concern for coastal managers and society at large. Since 1988, the IPCC has engaged in a strenuous effort to tackle this kind of challenge at the interface of science and practical decision-making. In this role, the IPCC has recently updated its scenarios of GMSL rise with the release of its Fifth Assessment Report (AR5). For coastal managers, these scenarios are the most authoritative source of information about future global sea levels, and the coastal chapter of the second Working Group of AR5 (WGII) shows that these scenarios are indeed used widely around the world to assess coastal risk and adaptation1. But for the management of high-risk coastal areas, these scenarios are not the right tools to use, at least not when used exclusively. This should not come as a surprise because the IPCC scenarios are designed from the perspective of the first Working Group of the IPCC (WGI), which aims to understand and reduce uncertainty, a viewpoint that is quite different from the one of coastal management, which aims to reduce risks. Unfortunately, this is not spelled out clearly both within and beyond the IPCC reports.


Nature Climate Change, Vol. 5, No. 3. (1 March 2015), pp. 188-190, https://doi.org/10.1038/nclimate2505 
Key: INRMM:13527487

Keywords

             

Article-Level Metrics (Altmetrics)
Digital Object Identifier


Available versions (may include free-access full text)

DOI, Nature, Pubget, PubMed (Search)

Versions of the publication are also available in Google Scholar.
Google Scholar code: GScluster:14397109377434231792

Works citing this publication (including grey literature)

An updated list of who cited this publication is available in Google Scholar.
Google Scholar code: GScites:14397109377434231792

Further search for available versions

Search in ResearchGate (or try with a fuzzier search in ResearchGate)
Search in Mendeley (or try with a fuzzier search in Mendeley)

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core
Metadata search: CrossRef DOI, DataCite DOI

Digital preservation of this INRMM-MiD record

Internet Archive

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.