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Found 6 papers, 2 papers with code
Earth System Data Cubes: Avenues for advancing Earth system research
These include transforming data to conform to a spatio-temporal grid with minimum distortions and managing complexities such as spatio-temporal autocorrelation issues.
A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks
There are countering computational "forces" of topology imperfections leading to a higher collapse rate (order) and yet, if accounted for, an increased sensitivity to the initial condition.
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences.
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes
With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems.
Recurrent Neural Networks for Modelling Gross Primary Production
Accurate quantification of Gross Primary Production (GPP) is crucial for understanding terrestrial carbon dynamics.
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models
We introduce ReservoirComputing. jl, an open source Julia library for reservoir computing models.
