halderm100 Goto Github PK

cpt

ocean transport and eddy energy: observations

dimes_eddy_wave_interactions

Code related to the paper 'Observed eddy-internal wave interactions in the Southern Ocean'.

eddydata

Keras implementation based on Tensorflow and dataset SCSE-Eddy for article "A Deep Framework for Eddy Detection and Tracking from Satellite Sea Surface Height Data"

enso_metrics

CMIP ENSO metrics python code

esgf-cookbook

Cookbook for ESGF-hosted datasets

extremeeddies

Tracking and analysis of mesoscale ocean eddies

filesender

FileSender server software

hanapin

Simple web search library

iitm-esm

iris

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

learning

Repository for Learning

nbviz-to-container

A containerization example that takes a interactive visualization in a Jupyter notebook and turns it in to a containerized web server

nextgems_fesom2

oceaneddies

A collection of algorithms to autonomously identify and track mesoscale ocean eddies in sea surface height (SSH) satellite data

py-eddy-tracker

Eddy identification and tracking

python-automation-selenium

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.

python-selenium-automation

Test Automation with Python and Selenium, https://www.jobeasy.ai/automation

sample_user_manual_iitm_esm

Set up a user manual for iitm-esm-how to get the code, how to compile and how to make runs

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

trackeddy

Tracking eddy algorithm:

wrf-forecasting-system

WRF Forecasting System is setup for Daily Weather Forecasting over Central University of Rajasthan.

wrf-mosit

This BASH script installs all the required libraries, packages, software, dependencies, etc for the Weather Research & Forecasting model suite.