CryoGrid community model for the terrestrial Cryosphere

The CryoGrid community model is a flexible toolbox for simulating the ground thermal regime and the ice/water balance for permafrost and glaciers. The CryoGrid community model can accommodate a wide variety of application scenarios, which is achieved by fully modular structures through object-oriented programming.

Different model components, characterized by their process representations and parametrizations, are realized as classes (i.e., objects) in CryoGrid. Standardized communication protocols between these classes ensure that they can be stacked vertically. For example, the CryoGrid community model features several classes with different complexity for the seasonal snow cover which can be flexibly combined with a range of classes representing subsurface materials, each with their own set of process representations (e.g. soil with and without water balance, glacier ice).

Tags: Active learning, Approximate Bayesian Computing (ABC), Bayesian experimental design, Bayesian inference, Causality, Clustering, Complexity of algorithms, Data fusion/integration, Deep learning/neural networks, Hierarchical modeling, Model selection, Monte Carlo methods, Non-linear dynamics, Numerical analysis, Optimization, Spatial statistics, Stochastic optimization, Time series, Uncertainty quantification, Variational inference, Visualization, Statistical methods

Published July 6, 2023 12:59 PM - Last modified Oct. 23, 2023 11:47 AM