2016
DOI: 10.1007/s10584-016-1609-1
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Building an integrated U.S. National Climate Indicators System

Abstract: During the development of the Third U.S. National Climate Assessment, an indicators system was recommended as a foundational product to support a sustained assessment process (Buizer et al. 2013). The development of this system, which we call the National Climate Indicators System (NCIS), has been an important early product of a sustained assessment process. In this paper, we describe the scoping and development of recommendations and prototypes for the NCIS, with the expectation that the process and lessons l… Show more

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Cited by 38 publications
(31 citation statements)
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“…The proposed Arctic Ocean climate change indicator is responsive to the criteria used for the US National Climate Indicators System (Kenney et al 2016). For example, in our analysis we provided a solid scientific basis for the new indicator and thus we argue that it is scientifically relevant and defensible, and is based on sustained data sourses.…”
Section: Discussionmentioning
confidence: 86%
“…The proposed Arctic Ocean climate change indicator is responsive to the criteria used for the US National Climate Indicators System (Kenney et al 2016). For example, in our analysis we provided a solid scientific basis for the new indicator and thus we argue that it is scientifically relevant and defensible, and is based on sustained data sourses.…”
Section: Discussionmentioning
confidence: 86%
“…While 'indicator' has been defined in various ways in the literature, this study will follow the definition of Kenney et al (2016) by regarding indicators as 'reference tools that can be used to regularly update status, rates of change, or trends of a phenomenon using measured data, modeled data or an index'. We apply the notion of indicators to capture the state of the Arctic environment through observational data series that span various components of the Arctic system.…”
Section: Key Indicatorsmentioning
confidence: 99%
“…The development of new datasets can and will facilitate the identification of flood risk areas in coastal communities and support the selection of priority shoreline areas for conservation and/or restoration. Moreover, collaborative decision-driven scientific tools have the potential to support the design of targeted adaptation strategies with known risk-reduction potential [80,81].…”
Section: Adapting To Sea-level Risementioning
confidence: 99%