| Model name | Finite Volume Ice Sheet Model - UFEMISM |
|---|---|
| Version | v1.2 |
| Developer | None |
| Development language | Fortran |
| Application scope | |
| Related websites | Official website Source code File |
| update time |
| Tag | Finite volume method ice sheet model conservation of mass large-scale simulation Fortran Base flux conservation law equation |
|---|
UFEMISM (Utrecht Finite Volume Ice Sheet Model) is a finite volume ice sheet model developed by Utrecht University, which uses the finite volume method to solve the ice flow control equations. Historical background : UFEMISM was developed by Utrecht University with the aim of providing an ice sheet model using finite volume methods to support accurate simulations of ice sheet mass conservation. The development of this model responds to the demand for solving conservation law equations. Technical features : • Using the finite volume method to solve the ice flow equation has the natural advantage of dealing with conservation laws • Accurate simulation of ice sheet mass conservation, reducing numerical diffusion • Support large-scale ice sheet dynamics simulation • Analyze the flux and mass balance at the base of the ice sheet • Modular design, easy to expand and customize • Supports parallel computing and adapts to high-performance computing environments Core functions : • Large scale ice sheet dynamics simulation • Analysis of Ice Sheet Base Flux and Mass Balance • Accurate simulation of ice sheet mass conservation • Solving conservation law equations, especially those related to the conservation of mass and momentum • Assessment of the contribution of ice sheet changes to sea level • Prediction of ice sheet evolution under different climate scenarios Application case : • Quality balance analysis of Greenland ice sheet • Simulation of Antarctic Ice Sheet Base Flux • Large scale numerical experiments on ice sheet dynamics • Accuracy assessment of ice sheet mass conservation • Research on the Application of Finite Volume Method in Ice Flow Simulation Limitations : • High demand for computing resources, especially high-resolution simulations • High requirements for the quality and accuracy of input data • The parameterization of the conditions at the bottom of the ice sheet is uncertain • The coupling with climate models requires additional development • The learning curve is steep and requires familiarity with finite volume methods Input parameters : • Geometric data of ice sheet (thickness, surface elevation, etc.) • Physical parameters of ice (rheological parameters, thermal conductivity, etc.) • Boundary conditions (surface temperature, sliding parameters, etc.) • Initial velocity field and temperature field • Simulate time steps and total duration Output result : • Ice sheet velocity field and thickness distribution • Ice sheet mass balance and material flux • Base flux and sliding rate • The contribution of ice sheets to sea level rise • Quality conservation accuracy evaluation index
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