Sea level rise (SLR) due to climate change will increase storm surge height along the 825 km long coastline of Metro Boston, USA. Land at risk consists of urban waterfront with piers and armoring, residential areas with and without seawalls and revetments, and undeveloped land with either rock coasts or gently sloping beachfront and low-lying coastal marshes. Risk-based analysis shows that the cumulative 100 year economic impacts on developed areas from increased storm surge flooding depend heavily upon the adaptation response, location, and estimated sea level rise. Generally it is found that it is advantageous to use expensive structural protection in areas that are highly developed and less structural approaches such as floodproofing and limiting or removing development in less developed or environmentally sensitive areas.

No abstract

The economics of adaptation to climate change relies heavily on comparisons of the benefits and costs of adaptation options that can range from changes in policy to implementing specific projects. Since these benefits are derived from damages avoided by any such adaptation, they are critically dependent on the specification of a baseline. The current exercise paper reinforces this point in an environment that superimposes stochastic coastal storm events on two alternative sea level rise scenarios from two different baselines: one assumes perfect economic efficiency of the sort that could be supported by the availability of actuarially fair insurance and a second in which fundamental market imperfections significantly impair society's ability to spread risk. We show that the value of adaptation can be expressed in terms of differences in expected outcomes damages only if the effected community has access to efficient risk-spreading mechanisms or reflects risk neutrality in its decision-making structure. Otherwise, the appropriate metric for measuring the benefits of adaptation must be derived from certainty equivalents. In these cases, increases in decision-makers' aversion to risk increase the economic value of adaptations that reduce expected damages and diminish the variance of

The US Integrated Ocean Observing System (IOOS ® ) is a collaboration between Federal, State, Local, Academic and Commercial partners to manage and/or provide access to a wide range of ocean observing assets and data feeds, including in-situ buoys, drifters, gliders, radar, satellite data, and numerical models and meet the needs of the ocean data community. This paper provides a discussion on the evolution of DMAC within IOOS, shows how the evolved DMAC will de-centralize ocean observing and enable the RAs to establish operational observing systems and create new forecast products supporting ocean, coastal, and estuarine interests and provides an update on the status of the current system.

No abstract