Vinayak Huggannavar's repositories
clm-docs
CESM2.0 CLM documentation
CME_NCOMMS_2020
Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Communications (2020), https://doi.org/10.1038/s41467-020-15195-y
EnKF-hrldas
This is the data assimilation method about hrldas model
gravity-toolkit
Python tools for working with spherical harmonic coefficients from the GRACE and GRACE Follow-On missions
HCF_CFSv2
The Heated Condensation Framework (HCF) convective trigger function implemented into the CFSv2 model.
iCESM1.2
Isotope-enabled CESM1.2
IDTxl
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
infotheory
C++/Python Information theoretic analyses tools
Land_uses_prediction
A Cellular Automata Markov (CAM) model for land use change prediction using GIS and Python
Mixed_Cell_Cellullar_Automata
The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.
ML_course
EPFL Machine Learning Course, Fall 2021
pytesmo
python Toolbox for the Evaluation of Soil Moisture Observations
tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
time-series-classification-and-clustering
Time series classification and clustering code written in Python.
urban-lu-model
A land use model based on Cellular Automata and Agent-based modelling.