ECMWFCode4Earth / wildfire-forecastingLinks
Forecasting wildfire danger using deep learning.
☆54Updated 3 years ago
Alternatives and similar repositories for wildfire-forecasting
Users that are interested in wildfire-forecasting are comparing it to the libraries listed below
Sorting:
- Machine learning to better predict and understand drought. Moving github.com/ml-clim☆93Updated 3 years ago
- Interactive jupyter notebooks for pangeo tutorial events☆94Updated 5 years ago
- Tools for working with machine learning in earth science☆96Updated last year
- An organizational meta-repo with pointers to all of the myriad educational materials available today (in any form)☆32Updated 5 years ago
- Pangeo Example Notebooks☆110Updated 10 months ago
- Can we use Planet high-resolution imagery and machine learning to assess snow cover?☆21Updated 3 years ago
- ☆12Updated 7 years ago
- A High-Performance Data Science Toolkit for the Earth Sciences☆67Updated last year
- Short course on interactive analysis of Big Earth Data with Jupyter Notebooks☆31Updated 6 years ago
- Pangeo Tutorial for 2018 NCAR SEA Conference☆31Updated 7 years ago
- Tutorial created by Chelle Gentemann for Ocean Sciences 2020 Meeting☆33Updated 4 years ago
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆42Updated 2 weeks ago
- Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course☆29Updated 5 years ago
- An introduction to netcdf files in R, python, and matlab☆30Updated 9 years ago
- Repository for the UCI ESS Python tutorial series☆21Updated 6 years ago
- Extended Sea Ice Outlook☆11Updated 6 years ago
- OceanHackWeek - Tutorials☆54Updated 2 months ago
- Examples of CMIP6 cloud data analysis with Pangeo☆25Updated last year
- Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask☆44Updated last year
- Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio☆22Updated 9 years ago
- ☆22Updated last year
- machine learning for the atmospheric sciences - a CSU course☆34Updated last year
- ☆29Updated 3 years ago
- python Toolbox for the Evaluation of Soil Moisture Observations☆85Updated last month
- Cookiecutter template creating a Python package with mkdocs☆41Updated 2 months ago
- Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.☆74Updated 5 years ago
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆31Updated last year
- Discover the ECMWF Summer of Weather Code 2021 challenges!☆46Updated 4 years ago
- Tutorial on building and using effective colormaps in climate science☆36Updated 5 years ago
- Examples of analysis of CMIP6 data using xarray and dask☆54Updated 5 years ago