vinni94
My research investigates the impacts of soil moisture on regional climate through land-atmospheric interactions and carbon cycle.
@csiroBrisbane
Pinned 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
WRF
The official repository for the Weather Research and Forecasting (WRF) model
vinni94's Repositories
vinni94/WRF
The official repository for the Weather Research and Forecasting (WRF) model
vinni94/clm-docs
CESM2.0 CLM documentation
vinni94/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
vinni94/EnKF-hrldas
This is the data assimilation method about hrldas model
vinni94/gravity-toolkit
Python tools for working with spherical harmonic coefficients from the GRACE and GRACE Follow-On missions
vinni94/HCF_CFSv2
The Heated Condensation Framework (HCF) convective trigger function implemented into the CFSv2 model.
vinni94/iCESM1.2
Isotope-enabled CESM1.2
vinni94/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.
vinni94/infotheory
C++/Python Information theoretic analyses tools
vinni94/Land_uses_prediction
A Cellular Automata Markov (CAM) model for land use change prediction using GIS and Python
vinni94/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.
vinni94/ML_course
EPFL Machine Learning Course, Fall 2021
vinni94/pytesmo
python Toolbox for the Evaluation of Soil Moisture Observations
vinni94/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
vinni94/time-series-classification-and-clustering
Time series classification and clustering code written in Python.
vinni94/urban-lu-model
A land use model based on Cellular Automata and Agent-based modelling.