All software
PDAF
PDAF - the Parallel Data Assimilation Framework is one of the most widely used a software frameworks for data assimilation. PDAF provides support for ensemble modeling and fully implemented data assimilation methods to merge models and observational data which let models learn from observations.
- Atmospheric science
- data assimilation
- Earth & Environment
- + 9
- Fortran
- Shell
- Makefile
- + 3
CUAS-MPI
CUAS-MPI is the MPI-parallel implementation of the confined-unconfined aquifer system model for subglacial hydrology. The model uses a single-layer equivalent porous medium approach and solves a two-dimensional Darcy-type groundwater flow equation.
- C++
- Earth & Environment
- FAIR Software
- + 4
- C++
- CMake
- C
- + 1
EnPT
The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterising Earth’s environment on a global scale. EnMAP measures and models key dynamic processes of Earth’s ecosystems by extracting geochemical, biochemical and biophy
- Earth & Environment
- EnMAP
- Hyperspectral
- + 2
- Python
- Shell
DeepLOKI
DeepLOKI is an AI-based software that uses deep learning to classify zooplankton species from high-resolution images, improving research efficiency by enabling faster and more accurate onboard image analysis in marine science.
- Data analysis
- Earth & Environment
- Machine learning
- + 2
- Python
geogravL3
Python package for the gravity data processing from spherical harmonic coefficients (Level-2) data to gridded Level-3 data.
- cryosphere
- Data analysis
- FAIR Software
- + 7
- Python
- nesC
- Makefile
- + 1
hextraj: hex labelling of trajectory data
hextraj maps longitude/latitude positions onto a projected hexagonal grid and provides tools for aggregating trajectory data over hex cells and for computing origin-destination connectivity between them.
- connectivity
- dask
- geospatial
- + 7
Lightning UQ Box
The lightning-uq-box is a PyTorch library that provides various Uncertainty Quantification (UQ) techniques for modern neural network architectures.
- Deep Learning
- python
- uncertainty quantification
- Python
MemRBC
MemRBC is an R package for spectral modeling of red blood cell shapes in R. It is the result of open science research, demonstrating the idea of hi-level apps with metadata creation in a lightweight obejct oriented approach.
- cell shape
- Helfrich
- R
- + 5
- R
- JavaScript
- C++
- + 1
OSADCP Toolbox
Open-source Python toolbox called OSADCP for scientists to convert, clean, calibrate and organize binary raw vessel-mounted Acoustic Doppler Current Profiler (ADCP) data for scientific use. The toolbox is designed to process ADCP measurements in deep water by Teledyne RDI Ocean Surveyor ADCPs.
- Data Visualization
- Earth & Environment
- FAIR Data
- + 5
- Python
- MATLAB
pycmor
A Python package that simplifies the conversion of climate model output into CMOR-compliant formats, supporting CMIP6 and CMIP7 standards. Provides a modular, plugin-based pipeline for processing NetCDF data from diverse Earth system models.
- CF-conventions
- climate model output
- CMIP6
- + 7
- Python
pyPDAF
pyPDAF provides the functionality to use the Parallel Data Assimilation Framework (PDAF) fully in Python. One can use all functionality of PDAF while implementing the case-specific code for the chosen data assimilation application in Python.
- Atmospheric science
- Bayesian inference
- data assimilation
- + 8
- Cython
- Python
- Fortran
- + 4