BISICLES

BISICLES is an Adaptive Mesh Refinement (AMR) ice-sheet modeling effort built upon the Chombo framework

Adaptive Mesh Refinementice-sheetChombo

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Initial contribute: 2019-10-13

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Application-focused categoriesNatural-perspectiveFrozen regions

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: https://crd.lbl.gov/departments/computational-science/anag/research/bisicles-for-ice-sheet-in-climate-applications/ 

BISICLES is a scalable AMR ice sheet modeling code built on the Chombo framework and is a part of the Community Ice Sheet Model (CISM). With a dynamical core based on the vertically-integrated model of Schoof and Hindmarsh (2011), BISICLES can resolve dynamically important regions at the sub-kilometer scale while using much coarser resolution where appropriate. BISICLES  is currently a part of the ProSPect ASCR-BER SciDAC4 partnership, and was a part of the PISCEES (Predicting Ice Sheet and Climate Evolution at Extreme Scales) ASCR-BER Scidac3 Applications Partnership.

Quoted from: https://crd.lbl.gov/news-and-publications/news/2013/berkeley-code-captures-retreating-antarctic-ice/ 

Satellite observations suggest that the shrinking West Antarctic ice sheet is contributing to global sea level rise. But until recently, scientists could not accurately model the physical processes driving retreat of the ice sheet. Now, a new ice sheet model—called Berkeley-ISICLES (BISICLES)—is shedding light on these details. 

 

Developed in a collaboration between computational scientists at Lawrence Berkeley National Laboratory (Berkeley Lab), and climate scientists at  the Los Alamos National Laboratory and the University of Bristol, BISICLES allows researchers to model regions of interest—like the retreating edge of an ice-sheet—at sub-kilometer resolution, while employing computationally cheaper coarser resolution in areas that don’t need such fine detail. This allows an accurate, high-resolution view of processes like glacier surges, ice streams, and grounding-line migration, at a relatively low computational cost.

 

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Lawrence Berkeley National Laboratory (Berkeley Lab), Los Alamos National Laboratory, University of Bristol (2019). BISICLES , Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/8692be4c-2cfd-4adc-86c7-41b2661375b2
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Initial contribute : 2019-10-13

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