Yonas M.'s repositories
intro-html
A robot powered training repository :robot:
First-giggle-page
My first page
jekyll-theme-massively
Preview
emoji-cheat-sheet
A markdown version emoji cheat sheet
shantoroy.github.io
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
decktape
PDF exporter for HTML presentations
ctsm_py
A place to put sample workflows and tools that use ctsm model output
CTSM
Community Terrestrial Systems Model (includes the Community Land Model of CESM)
ESCOMP-Containers
Containerized versions of ESCOMP software (eg, CESM)
esmf
The Earth System Modeling Framework (ESMF) is a suite of software tools for developing high-performance, multi-component Earth science modeling applications.
eosc-nordic-climate-demonstrator
EOSC Nordic Climate Science Demonstrator
ClimateModeling_courseware
A collection of interactive lecture notes and assignments in Jupyter notebook format.
CTSM-doc-images
Image files used in the CTSM documentation
mice
Multivariate Imputation by Chained Equations
ctsm_containers
A work-in-progress repository for developing builds of the CTSM and CLM-FATES models
esd
An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
xDateR
Shiny app for interactive crossdating of tree-ring data
dplR
This is the dev site for the dplR package in R
speedy.f90
An intermediate complexity atmospheric general circulation model
MtreeRing
A tool for measuring tree-ring width
sinkr
A collection of functions with emphasis on multivariate methods and handling of geographic datasets
temperature-prediction
[Scikit-learn] Temperature Prediction Application using Machine Learning Algorithms; Predicted daily temperature using multiple Linear Regression models & MLP with Scikit-learn, score = 0.85
climpact2
Combining climdex.pcic and climpact @ UNSW
WhileMyMCMCGentlySamples
my blog
pysheds
:earth_americas: Simple and fast watershed delineation in python.
Beamer-Tutorial
A step by step BEAMER Presentation manual
climate4R.climdex
A climate4R package for calculation of the ETCCDI core climate indices (part of the climate4R bundle)
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.