Pinned Repositories
marpyr's Repositories
marpyr/Rossby-wave-packets-driving-concurrent-and-non-concurrent-heatwaves-in-the-NH-and-SH
In this repository we provide the code for the plots presented in the paper: Pyrina et al., 2023
marpyr/PythonHPC_cscs
PythonHPC
marpyr/wind-rose-diagrams
plot some win-rose diagrams using python package
marpyr/SpeedyWeather.jl
The little sister of a big weather forecast model
marpyr/latexify_py
Generates LaTeX math description from Python functions.
marpyr/Lorentz_workshop
marpyr/xeofs
Collection of EOF analysis and related variants for climate science
marpyr/climpred
:earth_americas: Verification of weather and climate forecasts :earth_africa:
marpyr/s2spy
A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting
marpyr/ESMValTool
ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
marpyr/dianna
Deep Insight And Neural Network Analysis
marpyr/ml_tutorial_csu
material for the CSU-led machine learning tutorial for earth science research
marpyr/NN-SVG
Publication-ready NN-architecture schematics.
marpyr/R-metric
Code to calculate R-metric
marpyr/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
marpyr/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
marpyr/innvestigate
A toolbox to iNNvestigate neural networks' predictions!
marpyr/climetlab-s2s-ai-challenge
climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
marpyr/hagelslag
Hagelslag is an object-based severe storm hazard forecasting system.
marpyr/climlab
Python package for process-oriented climate modeling
marpyr/tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at
marpyr/forecast_predictability
marpyr/mplotutils
helper functions for cartopy and matplotlib
marpyr/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
marpyr/github-example
Demonstration of how to create a repository and set it up
marpyr/Coursera_Capstone-1
Repository for Coursera's IBM Applied Data Science Capstone