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Thermosteric Sea Level Rise Projections with Parametric Uncertainty

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Release Date
15 July 2014
Modified Date
1 April 2015
Publishers
U.S. Geological Survey, Department of the Interior
Identifier
thermosteric-sea-level-rise-projections-with-parametric-uncertainty
Landing Page
http://catalog.data.gov/dataset/thermosteric-sea-level-rise-projections-with-parametric-uncertainty
Temporal Coverage
29 December 1950 — 28 December 2099
Language
eng

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Description

These files contain spatial fields of simulated yearly thermosteric sea-level anomalies between 1951-2100 (referenced to year 1800) from a perturbed physics ensemble experiment using the University of Victoria Earth System Model (UVic). Thermosteric sea-level anomalies are derived from changes in density, which are calculated using the model's temperature and salinity fields. The ensemble varies 3 parameters controlling the model's equilibrium climate sensitivity (CS), background vertical diffusivity in the ocean (KV), and radiative effects of atmospheric sulfate aerosols (ASC). These parameters are varied over the following ranges: CS-(1.1, 1.6, 2.2, 2.6, 3.1, 4.0, 5.4, 6.5, 8.2, 11.2); KV-(0.1, 0.2, 0.3, 0.4, 0.5); ASC-(0.00, 0.75, 1.50, 2.25, 3.00). The unique parameter combination for each ensemble member is reflected in the variable name, where we have multiplied the parameter values by 100 to display as integer values. For the projection phase of the ensemble (2005-2100), we use atmospheric forcings from the RCP8.5 scenario. These forcings include atmospheric CO2 concentrations, radiative forcings from non-CO2 greenhouse gases, and spatially resolved changes in albedo associated with direct effects of sulfate aerosols. See Sriver et al., 2012 for complete discussion.


General Information


Legal Information

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.
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