Reverse Dependencies of netcdf4

The following projects have a declared dependency on netcdf4:

• a2 — Package for predicting information about the weather from social media data as application 2 for maelstrom project
• aa-toolbox — Toolbox for anticipatory action
• abses — ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.
• access-med-utils — ACCESS MED Utilities
• acgc — A collection of data analysis programs used by the Atmospheric Chemistry and Global Change (ACGC) research group
• acs-axiom — A prototype utility for validating/applying metadata templates for scientific data.
• adcirc-rom — Add a short description here!
• AdcircPy — Python package for working with ADCIRC input and output files
• adcpreader — A python module to access binary data files generated by RDI ADCPs
• Adhesion — Surface forces in contact calculations
• ADVECTOR — A computationally efficient and massively parallel marine litter transport model
• aec6s — Adjacency-effect correction following the Vermote et al. 1997 approach
• AeoLiS — A process-based model for simulating supply-limited aeolian sediment transport
• afloat — A Fairly useful Library of Ocean Analysis Tools
• AgenciBr — Package to work with data from brazilian agenci
• aglio — Another Geodata Library for Input/Output (and more)
• aiida-yambo — YAMBO plugin and workflows for AiiDA
• amdapy — AMDA python package
• animal-classification — classification of animals using machine learning models
• anuga — A set of python modules for tsunami and flood modelling
• aospy — Automated gridded climate data analysis and management
• apecosm — Python package for the analysis of Apecosm outputs
• apixwaves — Python library to compute cross spectra from SAR image
• aprofiles — Analysis of atmospheric profilers measurements
• argopandas — Locate, Download, and Read Argo Ocean Float Data
• argopy — A python library for Argo data beginners and experts
• arpes — Modular data analysis code for angle resolved photoemission spectroscopy (ARPES)
• artssat — High-level simulation and retrieval framework for microwave and IR remote sensing.
• arviz — Exploratory analysis of Bayesian models
• arviz-base — Base ArviZ features and converters.
• ascat — Readers and converters for data acquired by the ASCAT sensor on-board the Metop satellites
• asediag — Aerosol SE-data diagnostics tool
• ashdisperse — Steady state advection-diffusion-sedimentation solver for volcanic ash dispersion
• assetra — ASSET Lab Resource Adequacy Package
• atlite — Library for fetching and converting weather data to power systems data
• atmodata — A collection of high performant data loading tools for spatio-temporal ML based on torchdata
• atmos-validation — A python library containing automated data validation tools for the Atmos Data Service
• atmospheric_lidar — Package for reading raw atmospheric lidar data.
• atmoswing-vigicrues — Package to integrate AtmoSwing in the Vigicrues network.
• auDeep — auDeep is a Python toolkit for unsupervised feature learning with deep neural networks (DNNs)
• awsgnssroutils — Utilities for access and manipulation of GNSS radio occultation in the AWS Registry of Open Data
• b4rpipe — Pipeline reduction tools for B4R (2mm heterodyne reciver) on LMT 50m @Mexico
• banet — A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
• bas-apres — Package for working with BAS ApRES files
• bas-gloria — Package for working with GLORIA side-scan sonar files
• basemap — Plot data on map projections with matplotlib
• basinex — A basin extractor.
• basininflow — Calculates time series of runoff for basins from gridded runoff LSM data
• baysalt — Some simple tools for baysalt
• baysalt-christmas — Some simple tools for Christmas
• BCO — Python Interface to the Max-Planck-Institute Barbados Cloud Observatory data.
• beanmachine — Probabilistic Programming Language for Bayesian Inference
• BF2PALM — Transfer building footprint to 2D DEM for LES simulation
• birdhouse-birdy — Birdy provides a command-line tool to work with Web Processing Services.
• birdhouse-finch — A Web Processing Service for Climate Indicators.
• BiteAWX — For reading AWX format data.
• blenderize — loading CMCC mesh on blender
• blendernc — Blender add-on to import datasets (netCDF, grib, and zarr)
• blobmodel — Two dimensional model of propagating blobs
• bmi-era5 — BMI implementation for ERA5 data https://confluence.ecmwf.int/display/CKB/ERA5
• bmi-nwis — BMI implementation for datasets from National Water Information System https://waterdata.usgs.gov/nwis?
• bmi-roms — BMI implementation for ROMS model data https://www.myroms.org/
• boilercv — Computer vision routines suitable for nucleate pool boiling bubble analysis
• bolides — A package to analyze bolide data
• bolides-bounding-box — A package to get bounding box images from GOES satellites.
• boost-histogram — The Boost::Histogram Python wrapper.
• boutpy — Common python2.x toolkits for BOUT++ project
• boututils — Python utilities for BOUT++
• bpnsdata — A package to add marine environmental data to a geopandas dataframe
• bronx — Bunch of Reusable Objects Not in vorteX.
• buoy-tracking — no summary
• c3s-sm — Readers and time series coverters for the C3S Soil Moisture data set
• CADS — Python Package to add new download services to Copernicus and make easier managing voluminous data requests.
• calliope — A multi-scale energy systems modelling framework.
• carbonplan-forest-risks — forest carbon potential and risks
• carbonplan-forests — forest carbon potential and risks
• carpet-concentrations — Core tools for the development of greenhouse gas concentration input files (i.e. flying carpets).
• cars — A satellite multi view stereo pipeline
• cc-plugin-ugrid — UGRID plugin for the IOOS Compliance Checker Plugin
• cchdo.hydro — no summary
• ccic — Chalmers Cloud Ice Climatology
• ccres-weather-station — CCRES codes to convert weather data from text files to NetCDF files
• CDSupdate — Auto-updater of data from the Climate Data Store
• cfbuild — Used for generating netCDF files compliant with CF Conventions or ACDD
• cfchecker — The NetCDF Climate Forecast Conventions compliance checker
• cfmeta — Utility for processing CF metadata
• cgeniepy — A Python package to read, analyse and visualise cGENIE Earth System Model output
• cgul — Python package which will be used to ensure consistent data format when working with Xarray type data objects.
• chelsa-cmip6 — This package contains function to create monthly high-resolution climatologies for a selected geographic area for min-, max-, and mean temperature, precipitation rate and bioclimatic variables from anomalies and using CHELSA V2.1 as baseline high resolution climatology. Only works for GCMs for which tas, tasmax, tasmin, and pr are available.
• cht-meteo — no summary
• cima.goes — GOES-16 File Processing
• citycatio — CityCAT extension to create inputs and convert outputs
• climada — CLIMADA in Python
• climaf — CliMAF: a Climate Model Assessment Framework.
• climate-learn — ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
• climateforcing — Climate-related tools that I use in my work, gathered in a single module
• climatePy — A Python package for getting point and gridded climate data by AOI.
• climix — A climate index package
• climkern — no summary
• climpred — Verification of weather and climate forecasts. prediction.