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Name: ecors
Type: User
Name: ecors
Type: User
Python for Climate and Meteorological Data Analysis and Visualisation
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
Matlab code for Climate Change and Terrestrial Ecosystem Modeling
Community Terrestrial Systems Model (includes the Community Land Model of CESM)
Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
Group of Ecological Remote Sensing
Material used for the Shourt Course on using REddyProc at EGU 2019
Evapotranspiration Product Generator for the ET Toolbox
Penman-Monteith-Leuning Evapotranspiration on GEE
Code to reproduce the analysis and figures in 'A constraint on historic growth in global photosynthesis due to increasing CO2' Keenan et al. 2021. Nature https://www.nature.com/articles/s41586-021-04096-9
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
Notebooks describing the methods used for the publication: "Empirical up-scaling of OzFlux eddy covariance for high-resolution monitoring of terrestrial carbon uptake in Australia. AusEFlux datasets are freely available on Zenodo at the DOI below.
Code used to process and manage eddy covariance data for the New Mexico Elevation Gradient.
parallel Integrated Biosphere Simulator
Future reversal of warming-induced vegetation productivity increase in the Northern Lands
open source for wechat-official-account (ID: PythonDataLab)
Python - 100天从新手到大师
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.
Introduction to python use in geosciences.
Measuring and Modelling Evapotranspiration
The VBA toolbox
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.