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Calculating waviness in geopotential height contours
气象相关书籍
Mid-Latitude Evaluation System
This repository contains a set of R scripts and the data illustrating the possibility to model hourly electricity generation from renewable sources using the latest climate reanalysis from the Copernicus Climate Change Service (C3S).
NCL code for analyzing weather/climate data
My plotting subroutines write in NCAR Command Language
Next Generation Water Modeling Engine and Framework Prototype
An Occurrence Markov Chain model for fitting and generating daily precipitation data
A place to discuss and track issues related to the Pangeo project
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Matlab and ncl codes associated with the paper "Long-lead predictions of Eastern US hot days from Pacific sea surface temperatures"
Planning for an unknown future: Incorporating meteorological uncertainty into predictions of the impact of fires and dust on US particulate matter
Is your European region able to provide itself with 100% renewable electricity?
Program for Agrometeorological Analysis
Precipitation Extremes Analysis Project Extending the NOAA Atlas 14 using SNAP/CASC WRF products
Steps and scripts in temperature-water vapor-precipitation analysis package.
Code for Harris et al. "Satellite-Observed Vegetation Responses to Intraseasonal Precipitation Variability"
analysis of temperature dependency of extreme precipitation intensity
Code of Thesis to pursue an M.Sc. in Water Resources
Python scripts that help me be a successfull meteorologist. (Python 3)
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Tutorial script for analyzing and visualizing climate data.
This repository holds a list of open source Python packages interesting to Hydrologists
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.
🌊 ArcToolbox to analyze flooding due to storm surges and climate change
The automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS
rainfall onset-cessation and extreme indices
A library for regridding data sets to the SMAP 36km EASE-Grid 2.0 standard
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.