Pinned Repositories
eurec4a-intake
Intake catalogue for EUREC4A field campaign datasets
C3ONTEXT
Meso-scale organization of shallow convection during the EUREC⁴A field campaign based primarily on manual classifications.
car_referencer
Create reference filesystem for collections of car files.
eurec4a_snd
Collaborative sounding software during EUREC4A/ATOMIC
pysonde
Post-processing tool for atmospheric sounding data.
slkspec
fsspec filesystem for stronglink tape archive
tape_archive_index
Collection of reference files of data archived on 📼 at DKRZ
tar_referencer
Tar reference filesystem, e.g. tar Zarr-files and still access them with ease
xbitinfo
Python wrapper of BitInformation.jl to easily compress xarray datasets based on their information content
observingClouds's Repositories
observingClouds/hamp_processing
Processing for HAMP data sets
observingClouds/hysplit_metdata
observingClouds/kaggle-cloud-organization
Code for 3rd place solution in Understanding Clouds from Satellite Images Challenge.
observingClouds/kaggle-understanding-clouds
Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.
observingClouds/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
observingClouds/mqtt_import
collection of scripts to import live data into the EUREC4A MQTT system
observingClouds/pangeo-era5
scripts and tools for ingesting ERA5 into cloud storage
observingClouds/pyresample
Geospatial image resampling in Python
observingClouds/pysplit
A package for HYSPLIT air parcel trajectory analysis.
observingClouds/satpy
Python package for earth-observing satellite data processing
observingClouds/setuptools-git-version
Automatically set package version from Git
observingClouds/tarindexer
python module for indexing tar files for fast access
observingClouds/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
observingClouds/twotter
observingClouds/windy-plugins
🚁extend functionality of Windy.com. Develop your plugin in less than 5 minutes.