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In this paper, we investigate the use of data mining techniques in forecasting maximum and rainfall. A data model for the meteorological data was developed and this was used to classify the annual climatic changes.
Heavy rainfall in Paraguay during the 2015-2016 austral summer: causes and sub-seasonal-to-seasonal predictive skill (Journal of Climate) by Doss-Gollin, Muñoz, Mason, and Pastén
Data analysis and modelling used in Vanderkelen et al., 2018a and b
Data analysis and WAM-2 layers code used in De Hertog et al. (2023)
This is a water resources library in its very early stages. (stay tuned)
Tools for processing raster and meteorological data related to agriculture
Libraries for agro-meteorological and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.
Application of probabilistic machine learning methods to predicting local alpine precipitation using large scale atmospheric data.
AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)
This project achieves an explorative analysis of climate change and its impacts on Carbon Footprint, Drought occurrences, Agricultural Yield and Population. Dataset was obtained from World Bank and the Spanish national research council
Codes for midlatitude atmospheric circulation diagnostics
The Atlas of Variability Code Package allows a quick, standardized analysis of the variability characteristics of climate model output. It is a series of MATLAB functions that take NetCDF files and return results from spectral density analysis and basic distribution characteristics, and present them in several useful visualizations.
Course project. The goal is to automatically detect atmospheric fronts.
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
Probably the best curated list of data science books in Python
This is a repo of HPC workshops that will be used to facilitate on-site engagements, or be used at conferences and summits.
Python and R libraries to perform climate bias correction and test methods on chaotic attractors
climate change impact projections on river hydrology and water birds
An R package collecting functions for wind resource assessment
reservoir network optimization
Kaggle's Causality Challenge Solution for team FirfiD
some templates for accessing analyzing the CESM large ensemble on NCAR's casper cluster
Source Code and Use Instructions for CESM2.1.0 on Scinet's Niagara- CFG Edition
Project repository for the CESM python based post-processing code, documentation and issues tracking.
The Canadian Hydrological Model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.