climate-data-analysis
There are 2 repositories under climate-data-analysis topic.
- Language:Python 135
- python-cmethods
btschwertfeger / python-cmethods
A collection of bias correction techniques written in Python - for climate sciences.
Language:Python 71 csyhuang / hn2016_falwa
Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.
Language:Jupyter Notebook 39andersy005 / spark-xarray
This is an experimental project that seeks to integrate PySpark and xarray for Climate Data Analysis.
Language:Jupyter Notebook 22- Language:Python 18
Dan-Boat / pyClimat
This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module performs many climate data analysis like correlation, significance testing, causality testing, estimation of climatologies, etc. The current version of package can be used, however, it must be handle with caution since most of the functions are yet to be tested. Kindly contact me for help if required.
Language:Python 17- sea-surface-temp-viz
garyo / sea-surface-temp-viz
Sea Surface Temp Visualization
Language:Python 7 kuchaale / Himalayas_impact_polar-vortex
Code for the paper submitted to On the impact of Himalaya-induced gravity waves on the polar vortex, Rossby wave activity and ozone
Language:Jupyter Notebook 7- Language:Python 7
OpenClimateScience / M1-Open-Climate-Data
Lesson materials for Module 1 (M1), "Open Climate Data"
Language:Jupyter Notebook 4xCDAT / xcdat-validation
The xCDAT validation repository for exploring, prototyping, and testing feature ideas.
Language:Jupyter Notebook 3danielwiegand / climate-justice
Interactive website around climate justice
Language:R 2- Language:Jupyter Notebook 2
lee1043 / notebooks
Collection of example Python scripts in Jupyter Notebook for climate data analysis and visualization
Language:Jupyter Notebook 2- Language:Jupyter Notebook 2
Aaryan-Agr / NOAA-Hurricane-Data-Analysis
This project analyzes historical hurricane data from the NOAA dataset to identify trends, patterns, and impacts of hurricanes over time. Using R, we clean, process, and visualize storm trajectories, wind speeds, and pressure changes. The analysis includes geospatial visualizations and time-series trends to understand hurricane intensity.
(French) Lesson materials for Module 1 (M1), "Open Climate Data"
Language:Jupyter Notebook 1Lesson materials for Module 2 (M2), "Open Climate Science for Agriculture"
Language:Jupyter Notebook 1pguillo02 / AEMET-SCRAPPER
Scrapper developed for the DACD course. Obtain weather information :umbrella: directly from the AEMET database. Keep track of the climatic conditions :snowflake: all around the country
Language:Java 1- Language:Jupyter Notebook 1
VACILT / reliability_LE
On the reliability of large ensembles simulating stratospheric polar vortex
Language:Jupyter Notebook 1awesome-software / pygeohydro
A part of HyRiver software stack for accessing hydrology data through web services
Language:Python 0edwardnhw / ML-Statistical-Methods-for-Classification-and-Approximation
This repository explores statistical and machine learning methods for classification and function approximation. It covers k-NN, Decision Trees, Information Theory, and Convexity, with Python implementations, theoretical explanations, model comparisons, and visualizations, making it a valuable resource for ML research and applications.
Language:Python 0Mihir-DG / tropoProfs_tempWind
Evaluates tropospheric temperature and zonal wind pressure profiles over a variety of projections, seasonal changes, altitudes, etc.
Language:Python 0pojoowu / Climate-Forecasting
My solution to the challenge Regional Climate Forecasting which won the 1st place on the private ranking.
Language:Jupyter Notebook 0Access and analyze historical weather and climate data with Python.
Language:PythonThis toolkit helps companies and financial institutions to assess the temperature alignment of current targets, commitments, and investment and lending portfolios, and to use this information to develop targets for official validation by the SBTi. See the wiki for a change log.
Language:PythonAn extension of xarray for climate data analysis on structured grids.
Language:Python
