https://www.jianshu.com/p/b4a41caa0c8d
Python for neural data analysis
An alliance of scientists, engineers and applied mathematicians, dedicated to pioneering a new, data-informed approach to climate modeling. Most of the models are written in Julia.
climt (Climate Modelling and Diagnostics Toolkit) is a Python based library which provides a modular and intuitive approach to writing numerical models of the climate system. climt provides state-of-the art components and an easy-to-use interface to allow writing research quality models without the hassle of modifying Fortran code.
The modular nature of climt allows re-use of model code, allowing users to build progressively complicated models without having to rewrite the same code at each level of complexity.
MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data.
Meteolab is an open-source Matlab toolbox for statistical analysis and data mining in Meteorology, focusing on statistical downscaling methods.
xclim: Climate indices computations
xclim is a library of functions to compute climate indices from observations or model simulations. It is built using xarray and can benefit from the parallelization handling provided by dask. Its objective is to make it as simple as possible for users to compute indices from large climate datasets and for scientists to write new indices with very little boilerplate.
OGGM
paper:
https://gmd.copernicus.org/articles/12/909/2019/
OGGM is a modular open source model for glacier dynamics.
The model accounts for glacier geometry (including contributory branches) and includes an explicit ice dynamics module. It can simulate past and future mass-balance, volume and geometry of (almost) any glacier in the world in a fully automated and extensible workflow. We rely exclusively on publicly available data for calibration and validation.
**Digital Earth Australia (DEA) **
Earth and Environmental Data Science
An Introduction to Earth and Environmental Data Science
Good blogs for reasearch:
风中飞舞 气象信息
ZMonster’s Blog NLP & code & web
Signals and Systems with Python
Axes 和 GeoAxes 大小不一致的问题解决方案
mpl_toolkits.axes_grid1:
https://mp.weixin.qq.com/s?__biz=MzIxODQxODQ4NQ==&mid=2247484289&idx=1&sn=4b5f0662cfa41ef2969851dba5ef8389&chksm=97eb9fdba09c16cd6165d8592d72bd9bddfb36e0113de49459eaff90982be93e812457bf62a1&scene=178&cur_album_id=1342411062854991873#rd
https://mp.weixin.qq.com/s?__biz=MzIxODQxODQ4NQ==&mid=2247483968&idx=1&sn=c992f961827b4787c729d6c14c7c66be&chksm=97eb9e1aa09c170c945e366e9db501e38742fc3369204f090a3653fb1076fb572c626d17b500&scene=178&cur_album_id=1342411062854991873#rd
Some notes for POP develop
https://scienceweb.whoi.edu/net/cesm-bgc/notebooks/
https://github.com/WHOIGit/1dpop-aux
Good blogs for development:
python疫情监控
Flask搭建web/Echarts可视化/MySQL/Linux项目部署
WebGIS入门和进阶实战