matteodefelice / C3S_evaluatorLinks
A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data
☆13Updated 3 years ago
Alternatives and similar repositories for C3S_evaluator
Users that are interested in C3S_evaluator are comparing it to the libraries listed below
Sorting:
- Statistical tests on xarray objects☆14Updated last week
- Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course☆29Updated 5 years ago
- Extended Sea Ice Outlook☆11Updated 6 years ago
- A python course intended to provide a thorough grounding for those working in the earth sciences☆35Updated 7 years ago
- Working repository for planning/execution of the "Time of Emergence" project at the CMIP6 Hackathon☆15Updated 5 years ago
- 🌍🌏🌎 A succinct toolset for analyzing climate data. This project is a work-in-progress.☆26Updated 11 months ago
- Examples of analysis of CMIP6 data using xarray and dask☆54Updated 5 years ago
- Nested bootstrap resampling of xarray objects☆18Updated 7 months ago
- a collection of remote climate data accessed via intake cached to disk☆19Updated last month
- GOES-16 Convective Initiation Benchmark☆17Updated 3 years ago
- A way to manage forecast Xarray datasets using datatrees☆14Updated last year
- A set of GrADS functions in Python (hdivg, hcurl...)☆11Updated 4 years ago
- Python code to manage ERA5 downloads at NCI☆33Updated 4 years ago
- An open, reproducible and transferable workflow to assess and anticipate climate extremes beyond the observed record☆18Updated last year
- A Python package to facilitate synthesis and analysis of Earth system data.☆11Updated 3 months ago
- Examples of analysis of ocean data and simulation outputs using xarray, xgcm, and pangeo.☆21Updated 5 years ago
- Pangeo Tutorial for 2018 NCAR SEA Conference☆31Updated 7 years ago
- Tutorial on building and using effective colormaps in climate science☆35Updated 5 years ago
- A Python package of algorithms and metrics used to characterise and identify jet streams, based on xarray.☆26Updated 2 weeks ago
- A High-Performance Data Science Toolkit for the Earth Sciences☆68Updated last year
- Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.☆74Updated 5 years ago
- Examples of CMIP6 cloud data analysis with Pangeo☆25Updated last year
- An organizational meta-repo with pointers to all of the myriad educational materials available today (in any form)☆32Updated 5 years ago
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- Search client for the ESGF Search API☆37Updated 9 months ago
- NCL colormaps in Python☆11Updated 6 years ago
- Replication code and data links for Schwarzwald and Lenssen, 2022, The importance of internal climate variability in climate impact proje…☆12Updated 2 years ago
- Pythie is a Python package to postprocess weather forecasts. Presently, it contains the modules: MBM: a module to make member-by-member e…☆11Updated 2 years ago
- Fast convective parameters for numpy, dask, and xarray☆33Updated last year
- ☆20Updated 3 years ago