This is a non-commercial repository to analyze the streamflow elasticity to precipitation and streamflow sensitivity to temperature in Europe.

Phase synchronization analysis of two time series using Numpy and Xarray

Python code to compute global teleconnections from rainfall data

Library for Event Synchronization and Event Coincidence Analysis

Mixed Effects Random Forest

Code and data to reproduce the numbers, tables, and figures of the manuscript

Python library for Causal AI

Renewable electricity production and demand model for Europe based on meteorological drivers.

Collection of Jupyter notebooks

Code used to perform Dynamical Adjustment using Partial Least Squares Regression

CSR5d study

Analysis of low flows and streamflow drought in British Columbia, Canada. Historical trends & reconstruciton and future projections under climate change scenarios

Metastatistical Physically-based Extreme Value Distribution

Geospatial library wheels for Python on Windows.

code for the rare biosphere project

Notebooks to make figures for "Impacts of future changes in climate variability on Europe’s renewable electricity systems"

Rainfall-runoff modeling (Mach-flow project)

Source code for the experiments in my blog on Bayesian hierarchical modeling

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Spatiotemporal Bayesian hierarchical modeling of extremes with max-stable processes

A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"

Python library to create hydrological models for rainfall-runoff prediction using deep learning methods

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.