Algorithms

Within each attempt to model the Earth System a multitude of algorithms are deployed to mathematically describe the fundamental aspects and processes of nature. As our scientific understanding of natural processes improves, we can expect the algorithms to improve. Additionally, the mathematical methods themselves can evolve and improve. Several important algorithms (but not all) and their mathematical methods are described below:

View details Algorithms & Methods

Mathematics in and of the Planet Earth Optimization Parameterization Assimilation
Adaptive Mesh Refinement (AMR) Grids Finite-Volume Methods Spectral Nudging
Spectral Transforms Solvers Computational Fluid Dynamics (non-turbulent) Convection
Vorticity, Helicity & Turbulence Non-fluid flows Stochastic Physics Uncertainty and Error Management
Variability Linear equations Randomness Statistics
Ensemble Averaging Slow Feature Analysis Fracture Modelling Data Mining
Predictive Analytics Graph Analytics Stochastic Gradient Descent Bayesian Methods
Parallelization Downscaling Complex Network Analysis Stretching Time
Sparse Matrices & Tensors Sparse Fourier Transform Wavelets Quantum systems modelling
Machine Learning Biological Methods The renormalization group Thermodynamics

View details Digital Twins

Digital Twins