Articles | Volume 10, issue 7
Geosci. Model Dev., 10, 2741–2760, 2017
Geosci. Model Dev., 10, 2741–2760, 2017
Model description paper
17 Jul 2017
Model description paper | 17 Jul 2017

BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections

Tony E. Wong et al.

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Cited articles

Akaike, H.: A New Look at the Statistical Model Identification, IEEE T. Automat. Contr., 19, 716–723,, 1974.
Applegate, P. J., Kirchner, N., Stone, E. J., Keller, K., and Greve, R.: An assessment of key model parametric uncertainties in projections of Greenland Ice Sheet behavior, The Cryosphere, 6, 589–606,, 2012.
Bakker, A. M. R., Applegate, P. J., and Keller, K.: A simple, physically motivated model of sea-level contributions from the Greenland Ice Sheet in response to temperature changes, Environ. Modell. Softw., 83, 27–35,, 2016.
Bakker, A. M. R., Wong, T. E., Ruckert, K. L., and Keller, K.: Sea-level projections representing the deeply uncertain contribution of the West Antarctic ice sheet, Sci. Rep., 7,, 2017.
Church, J. A. and White, N. J.: Sea-level rise from the late 19th to the early 21st century, Surv. Geophys., 32, 585–602,, 2011.
Short summary
We present the Building blocks for Relevant Ice and Climate Knowledge (BRICK) model v0.2. BRICK is a model for hindcasting past and projecting future surface temperature and sea-level rise, resolving the sea-level contributions from glaciers and ice caps, the Greenland and Antarctic ice sheets, and thermal expansion. BRICK is specifically designed to support decision analyses through its transparency, and includes functionality to scale global sea-level estimates to regional projections.