Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2741-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2741-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA
Alexander M. R. Bakker
Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA
now at: Rijkswaterstaat, Ministry of Infrastructure and Environment, the Netherlands
Kelsey Ruckert
Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA
Patrick Applegate
Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA
now at: Research Square, Durham, NC 27701, USA
Aimée B. A. Slangen
Royal Netherlands Institute for Sea Research (NIOZ), Department of Estuarine & Delta Systems (EDS), and Utrecht University, Yerseke, the Netherlands
Klaus Keller
Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA
Department of Geosciences, Pennsylvania State University, University Park, PA 16802, USA
Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15289, USA
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29 citations as recorded by crossref.
- Uncertainty in Sea Level Rise Projections Due to the Dependence Between Contributors D. Le Bars 10.1029/2018EF000849
- Uncertainty and the basis for confidence in solar geoengineering research B. Kravitz & D. MacMartin 10.1038/s43017-019-0004-7
- Analysis of the evolution of parametric drivers of high-end sea-level hazards A. Hough & T. Wong 10.5194/ascmo-8-117-2022
- SURFER v2.0: a flexible and simple model linking anthropogenic CO2 emissions and solar radiation modification to ocean acidification and sea level rise M. Martínez Montero et al. 10.5194/gmd-15-8059-2022
- Optimization of multiple storm surge risk mitigation strategies for an island City On a Wedge R. Ceres et al. 10.1016/j.envsoft.2019.06.011
- Comprehensive evidence implies a higher social cost of CO2 K. Rennert et al. 10.1038/s41586-022-05224-9
- Advancing the estimation of future climate impacts within the United States C. Hartin et al. 10.5194/esd-14-1015-2023
- Statistical emulation of a perturbed basal melt ensemble of an ice sheet model to better quantify Antarctic sea level rise uncertainties M. Berdahl et al. 10.5194/tc-15-2683-2021
- Impacts of Antarctic fast dynamics on sea-level projections and coastal flood defense T. Wong et al. 10.1007/s10584-017-2039-4
- The evolution of 21st century sea-level projections from IPCC AR5 to AR6 and beyond A. Slangen et al. 10.1017/cft.2022.8
- Adaptive mitigation strategies hedge against extreme climate futures G. Marangoni et al. 10.1007/s10584-021-03132-x
- Extreme sea levels at different global warming levels C. Tebaldi et al. 10.1038/s41558-021-01127-1
- Arctic Oceanic Carbon Cycle: A Comprehensive Review of Mechanisms, Regulations, and Models X. Ye et al. 10.3390/w16121667
- Improving the Representation of Climate Risks in Long-Term Electricity Systems Planning: a Critical Review J. Doss-Gollin et al. 10.1007/s40518-023-00224-3
- A Subjective Bayesian Framework for Synthesizing Deep Uncertainties in Climate Risk Management J. Doss‐Gollin & K. Keller 10.1029/2022EF003044
- Impacts of Observational Constraints Related to Sea Level on Estimates of Climate Sensitivity B. Vega‐Westhoff et al. 10.1029/2018EF001082
- The Role of Climate Sensitivity in Upper‐Tail Sea Level Rise Projections B. Vega‐Westhoff et al. 10.1029/2019GL085792
- Attention to values helps shape convergence research C. Helgeson et al. 10.1007/s10584-021-03274-y
- Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs T. Wong et al. 10.1029/2022EF003061
- Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions C. Helgeson et al. 10.1086/711501
- MimiBRICK.jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling framework T. Wong et al. 10.21105/joss.04556
- Neglecting model structural uncertainty underestimates upper tails of flood hazard T. Wong et al. 10.1088/1748-9326/aacb3d
- Linking sea level rise and socioeconomic indicators under the Shared Socioeconomic Pathways A. Nauels et al. 10.1088/1748-9326/aa92b6
- Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA K. Ruckert et al. 10.1038/s41598-019-47587-6
- Source Attributions of Radiative Forcing by Regions, Sectors, and Climate Forcers X. Su et al. 10.2139/ssrn.3912948
- Identifying crucial emission sources under low forcing scenarios by a comprehensive attribution analysis X. Su et al. 10.1016/j.oneear.2022.10.009
- A Review of Decision Making Under Deep Uncertainty Applications Using Green Infrastructure for Flood Management M. Webber & C. Samaras 10.1029/2021EF002322
- Bibliometric Analysis of Global Research Progress on Coastal Flooding 1995–2016 C. Gao & T. Ruan 10.1007/s11769-018-0996-9
- The Framework for Assessing Changes To Sea-level (FACTS) v1.0: a platform for characterizing parametric and structural uncertainty in future global, relative, and extreme sea-level change R. Kopp et al. 10.5194/gmd-16-7461-2023
Latest update: 29 Jun 2024
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.
We present the Building blocks for Relevant Ice and Climate Knowledge (BRICK) model v0.2. BRICK...
