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Mark Carson

Researcher at University of Hamburg

Publications -  13
Citations -  700

Mark Carson is an academic researcher from University of Hamburg. The author has contributed to research in topics: Sea level & Sea surface temperature. The author has an hindex of 8, co-authored 12 publications receiving 585 citations. Previous affiliations of Mark Carson include Joint Institute for the Study of the Atmosphere and Ocean.

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Projecting twenty-first century regional sea-level changes

TL;DR: In this article, the authors present regional projections of sea-level change resulting from changing ocean circulation, increased heat uptake and atmospheric pressure in CMIP5 climate models, combined with model and observation-based regional contributions of land ice, groundwater depletion and glacial isostatic adjustment, including gravitational effects due to mass redistribution.
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Coastal sea level changes: Observed and projected during the 20th and 21st century.

TL;DR: In this article, the authors analyzed time series of observed and projected sea level changes for the 20th and 21st century at various coastal locations around the world that are vulnerable to climate change.
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Is the World Ocean Warming? Upper-Ocean Temperature Trends: 1950–2000

TL;DR: In this paper, the authors reported large spatial variability of 51-yr trends in the upper ocean, with some regions showing cooling in excess of 3°C, and others warming of similar magnitude.
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Towards comprehensive observing and modeling systems for monitoring and predicting regional to coastal sea level

Rui M. Ponte, +53 more
TL;DR: In this article, the authors assess current understanding of the causes of coastal SL variability on seasonal to multi-decadal timescales, including geodetic, oceanographic and atmospheric aspects of the problem, and review available observing systems informing on coastal SL.
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The Impact of Regional Multidecadal and Century-Scale Internal Climate Variability on Sea Level Trends in CMIP5 Models

TL;DR: In this paper, regional sea surface height variability due to internal climate fluctuations is estimated using preindustrial control runs of 21 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5).