Software Download
PDAF can be downloaded from its repository at Github
https://github.com/PDAF/PDAF
The repository provides release packages since PDAF V2.0. Older releases are either avilable as branches in the repository or on this website as packages. The repository and packages contain the core routines of PDAF as well as the tutorial code, model bindings, and templates for the implementation of data assimilation systems.
Please use the registration here to subscribe to the PDAF maillist. Further, the registration is required to download PDAF release packages before PDAF V2.0.
PDAF is distributed under the GNU General Public License, version 3. With downloading PDAF, you accept it's license. The full copyright and license information is described here, which privacy policy is described at the bottom of this page.
Citing PDAF
With respect to science, please cite PDAF, when you publish work obtained using the software.
A good reference on PDAF is
Lars Nerger and Wolfgang Hiller, Software for Ensemble-based Data Assimilation Systems - Implementation Strategies and Scalability. Computers and Geosciences, 55 (2013) 110-118, but citing the paper discussing the filter algorithm you applied would also be nice (see the page on publications and presentations).
To directly cite the software PDAF, you can cite the release package at Zenodo:
Lars Nerger. (2023). The Parallel Data Assimilation Framework (PDAF). Zenodo. https://doi.org/10.5281/zenodo.7861829
We also enjoy to hear from you when you publish work using PDAF (See Imprint for contact information.) We have a list a publications by PDAF users and adding your publication is easiest when you notify us about it.
Registration
If you have already registered for downloading PDAF, but do not have the download information any more, you can request the download information again. It will be sent to the email address you provided when you registered.
