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1d_shallow_water_model_matlab

2018-paraguay-floods

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

2d_shallow_water_model_matlab

500lines

500 Lines or Less

air-sea-interaction-diagnostics

Intraseasonal air-sea interaction diagnostics (DeMott et al. 2016 JGR)

arduino_observingconditions

Ascom Observing Conditions Driver Based around Arudino and Weather shield

arts

The Atmospheric Radiative Transfer Simulator - SVN mirror

atmospheric_oceanic_science_programs

Programs inNCL and other programming languages, for atmospheric and oceanic sciences.

atms-305

This is the github account for ATMS 305 Computing and Data Analysis

ats655-coursematerial

Course material for ATS 655: Objective Analysis with Prof. Elizabeth Barnes, Dept. of Atmospheric Science, Colorado State University.

awesome

:sunglasses: Curated list of awesome lists

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等

awesome-gee-community-datasets

Community Datasets added by users and made available for use at large

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

awesome-python-blogs

A curated list of Awesome Python Blogs and Newsletters for Python Developers and Newbies

bart

Bayesian Atmospheric Radiative Transfer fitting code

beautify-github-profile

This repository helps you to have a more beautiful and attractive github profile, and you can access a complete set of tools and guides for beautifying your github profile. 🪄 ⭐

best-app

收集&推荐优秀的 Apps/硬件/技巧/周边等

bsiso_hub

Script for BSISO

cfs-ar-plots

NCL scripts for vertical interpolation and calculation and plotting of PV, IWV, IVT for Atmospheric Rivers

cheat_sheets_of_python_libraries

This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.

classcode

climate-statistics

Climate Statistics with Python.

climpred_egu22_demo

Demo for the European Geoscience Union 22 conference showcasing climpred calculating Nino3.4 skill for NMME hindcasts verified against NOAA OISST observations

clustering_streamflow

R functions to analyse temporal clustering of extreme precipitation and its effets on streamflow

clustering_subseasonal_switzerland_nhess

Code, data and results for Tuel, A. and Martius, O.: A climatology of sub-seasonal temporal clustering of extreme precipitation in Switzerland and its impacts, Nat. Hazards Earth Syst. Sci. https://doi.org/10.5194/nhess-2021-93

code-ncl

codes

cowan_et_al_2020_dustbowl_ghg

Code to create figures in Cowan et al. 2020, Nature Climate Change

coyote

The Coyote Library evolved from work David Fanning was doing teaching IDL courses and answering IDL questions on the IDL newsgroup. It is meant to be a well-documented library that demonstrates how to write solid (dare we say eloquent) IDL programs that are easy to maintain and extend. You can learn more about these programs and about IDL programming in general at David's web page, Coyote's Guide to IDL Programming.