There are 2 repositories under netcdf4 topic.
netcdf4-python: python/numpy interface to the netCDF C library
Library of derived climate variables, ie climate indicators, based on xarray.
A collection of code examples as well as presentations for training purposes
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
WOSS is a framework that permits the integration of any underwater channel simulator that expects environmental data and provides a channel realization. WOSS integrates the Bellhop ray-tracing program. Thanks to its automation the user only has to specify the location in the world and the time where the simulation should take place.
NETCDF to GeoTIFF utility library
Hydrology and Climate Forecasting R package
Docker image with python-3.8.10 and gdal-3.3.0 for data science。用于构建数据科学和机器学习应用的 python 镜像,内置了常规开发包,易于自定义扩展。
Performance Benchmark of E3SM's I/O Kernel
WOSS is a framework that permits the integration of any underwater channel simulator that expects environmental data and provides a channel realization. WOSS integrates the Bellhop ray-tracing program. Thanks to its automation the user only has to specify the location in the world and the time where the simulation should take place.
Vibration analysis tool, Signal processing tool
HDF5, NetCDF4, fileio, system functions that act as an unofficial "stdlib" for Matlab.
Tutorial script for analyzing and visualizing climate data.
This program converts Standardised Precipitation-Evapotranspiration Index (SPEI) data from the netcdf format to csv and Excel formats.
ESoWC project to develop a Python utility to mount NetCDF files as a file-system in user space. (FUSE)
ECMWF toolbox created with python
GOES-16 fixed grid projection algorithm and grid netCDF4 file
Performs a Koppen Geiger Classification using just NC files with temperature and precipitation as input.
Simple wrappers for processing netcdf files for use in simple climate models
Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.
Machine learning model to compress large-scale high-resolution scientific data