Simulating the ice‐thickness distribution in a coupled climate model

By C. Bitz, Marika M. Holland, A. Weaver, M. Eby. 2001

349 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0f584a423fa35701cdf712f500ca468f12ed1b32

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. M. Webb
2. Sandrine Bony
3. M. Zelinka
4. J. Dufresne
5. Stephen A. Klein
6. Brian J. Soden
7. I. Held
8. D. Hartmann

In Global and Planetary Change

1. M. Webb
2. Sandrine Bony
3. M. Zelinka
4. J. Dufresne
5. Stephen A. Klein
6. Brian J. Soden
7. D. Hartmann
8. I. Held

Citations in the corpus

• The GFDL Global Ocean and Sea Ice Model OM4.0: Model Description and Simulation Features (2019, background): “Five sea ice thickness categories are managed according to a Lagrangian scheme (Bitz et al., 2001).”
• Physical Climate Processes and Feedbacks (2001, background): “Recent advances in modelling the thickness distribution function make representing sub-grid scale variability, and the accompanying effects, feasible in global climate simulations (Bitz et al., 2001).”
• The UVic earth system climate model: Model description, climatology, and applications to past, present and future climates (2001, methodology): “The coupled model consists of an energy-moisture balance atmospheric model, loosely based on Fanning and Weaver (1996), a dynamic-thermodynamic sea-ice model (Hibler, 1979; Hunke and Dukowicz, 1997; Bitz et al., 2001) and a primitive equation oceanic general circulation model (Pacanowski, 1995).”
• The Louvain-La-Neuve sea ice model LIM3.6: global and regional capabilities (2015, background): “In practice, the thickness distribution is discretized over (typically 5) thickness categories (Bitz et al., 2001; Lipscomb, 2001), each characterized by a specific areal fraction (referred to as concentration).”
• Presentation and Evaluation of the IPSL‐CM6A‐LR Climate Model (2020, background): “6 combines the ice thickness distribution approach (Bitz et al., 2001; Lipscomb, 2001; Thorndike et al.,1975), the conservation of horizontal momentum (Hibler, 1979), treating sea ice as a 2‐”
• How Well Do We Understand and Evaluate Climate Change Feedback Processes (2006, methodology): “Several current models include a representation of the subgrid-scale ice thickness distribution (ITD) developed initially by Thorndike et al. (1975) and adapted for climate models by Bitz et al. (2001).”
• Ice structures, patterns, and processes: A view across the icefields (2012, background): “, 2006) use the explicitly calculated evolution of several ice categories based on the theory of the sea-ice thickness distribution (Bitz et al., 2001; Thorndike et al., 1975).”
• Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity (2010, methodology): “The sea ice model calculates the evolution of the subgrid-scale sea ice thickness distribution following the governing equation by Thorndike et al. (1975).”
• Climate and Water: From Climate Models to Water Resources Management and Vice Versa (2004, background): “Particularly interesting are the descriptions that allow the simulation of sub-grid scale variations in ice cover and thickness (Bitz et al., 2001), and their impact to albedo.”