liuc's repositories
calendar-heatmap
Calendar heatmap with matplotlib and random data
med-extreme-prec-atm-patterns
Scripts for reproducing the analysis and figures presented in "Extreme precipitation events in the Mediterranean: Spatiotemporal characteristics and connection to large-scale atmospheric flow patterns"
python_notebook
note my work
auto-install-WRFV4
Automatically install WRF and WPS with GCC.
awesome-atmos
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
Beautiful-Visualization-with-python
python数据可视化之美
easy-era5-trck
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
easy-wrf-trck
A super lightweight Lagrangian model for calculating millions of WRF trajectories.
Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Fuck-XueXiQiangGuo
学习强国 懒人刷分工具 自动学习
htmlonline
html
Meteorological-Books
气象相关书籍
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
neurips-2020-sevir
Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"
py3grads
Python 3 Interface to GrADS
python-cheatsheet
Comprehensive Python Cheatsheet
Python-Practical-Application-on-Climate-Variability-Studies
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.
the-craft-of-selfteaching
One has no future if one couldn't teach themself.
Tmall_Tickets
天猫超市茅台抢票功能
WRF-SFIRE
A coupled weather-fire forecasting model built on top of Weather Research and Forecasting (WRF). This is the original https://github.com/openwfm/wrf-fire transitioned to a fork of WRF and selected as ifire=1. Graphic log at https://repo.or.cz/git-browser/by-commit.html?r=WRF-SFIRE.git
xigrug.github.io
xigrug blog for Jekyll themes 🍉