Integrated assessment of sea-level rise adaptation strategies using a Bayesian decision network approach

2013 ◽  
Vol 44 ◽  
pp. 87-100 ◽  
Author(s):  
Michela Catenacci ◽  
Carlo Giupponi
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Integrated Assessment ◽  
Adaptation Strategies ◽  
Bayesian Decision ◽  
Network Approach ◽  
Decision Network ◽  
Bayesian Decision Network ◽  
Sea Level Rise Adaptation

COLLABORATIVE STRATEGIES FOR SEA LEVEL RISE ADAPTATION IN HAMPTON ROADS, VIRGINIA

2018 ◽  
Vol 13 (3) ◽  
pp. 193-214 ◽  
Author(s):  
Carol Considine ◽  
Emily Steinhilber
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Regional Scale ◽  
The United States ◽  
Tourism Industry ◽  
Collaborative Problem Solving ◽  
Hampton Roads ◽  
Global Rate ◽  
Municipal Boundaries ◽  
Sea Level Rise Adaptation

INTRODUCTION The Hampton Roads region is located in southeastern Virginia where the Chesapeake Bay meets the Atlantic Ocean. The region includes seventeen municipal governments and has a large federal government presence with 26 federal agencies represented (See Figure 1). The region has a population that exceeds 1.7 million and is home to the deepest water harbor on the U.S. East Coast. Hampton Roads' economy is dependent on the local waterways and houses the world's largest naval facility, the sixth largest containerized cargo complex and supports a thriving shipbuilding and repair industry as well as a tourism industry. However, the region's vast coastline also contributes to its vulnerability from climate change. Hampton Roads is experiencing sea level rise at twice the global rate with regional projections in the January 2017 National Oceanic and Atmospheric Administration (NOAA) report, Global and Regional Sea Level Rise Scenarios for the United States, of 1.9 feet of sea level rise at the low end and 11.5 feet of sea level rise under the most extreme case between 2000 and 2100 (NOAA, 2017). Planning for adaptation to sea level rise requires regional partnerships and strategies, especially for watersheds that cross municipal boundaries. While many of the municipalities in the region are forward thinking in their approaches to sea level rise, there is not a regional plan for adaptation and current federal funding models do not support analysis of and planning for sea level rise impacts on a regional scale. For coastal communities to be successful in sea level rise adaptation, there has to be a national understanding that water knows no borders and only collaborative problem-solving approaches that cross municipal boundaries will move regions toward adaptation. Functional boundaries of ecosystems or watersheds need to be the focus of adaptation rather than political boundaries of local, state, and federal entities. Coordination and collaboration between entities is the only way to achieve optimal outcomes.

scholarly journals Copernicus Sea Level Space Observations: A Basis for Assessing Mitigation and Developing Adaptation Strategies to Sea Level Rise

2021 ◽  
Vol 8 ◽  
Author(s):  
Jean-François Legeais ◽  
Benoît Meyssignac ◽  
Yannice Faugère ◽  
Adrien Guerou ◽  
Michaël Ablain ◽  
...  
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Sea Level ◽  
Large Scale ◽  
Adaptation Strategies ◽  
Sea Level Changes ◽  
Global Mean Sea Level ◽  
The Stability ◽  
Scientific Questions ◽  
Processing Steps

It is essential to monitor accurately current sea level changes to better understand and project future sea level rise (SLR). This is the basis to support the design of adaptation strategies to climate change. Altimeter sea level products are operationally produced and distributed by the E.U. Copernicus services dedicated to the marine environment (CMEMS) and climate change (C3S). The present article is a review paper that intends to explain why and to which extent the sea level monitoring indicators derived from these products are appropriate to develop adaptation strategies to SLR. We first present the main key scientific questions and challenges related to SLR monitoring. The different processing steps of the altimeter production system are presented including those ensuring the quality and the stability of the sea level record (starting in 1993). Due to the numerous altimeter algorithms required for the production, it is complex to ensure both the retrieval of high-resolution mesoscale signals and the stability of the large-scale wavelengths. This has led to the operational production of two different sea level datasets whose specificities are characterized. We present the corresponding indicators: the global mean sea level (GMSL) evolution and the regional map of sea level trends, with their respective uncertainties. We discuss how these products and associated indicators support adaptation to SLR, and we illustrate with an example of downstream application. The remaining gaps are analyzed and recommendations for the future are provided.

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