Release Notes

Washington (December 2018, v0.6.1)

Birdhouse will be at the AGU 2018 in Washington D.C..

Warning

In the making …

Dar es Salaam (September 2018, v0.6.0)

Birdhouse was present at the FOSS4G 2018 in Dar es Salaam.

Highlighted Changes:

  • Ansible playbook to install PyWPS applications.
  • Skipped Buildout deployment … not all birds are converted yet.
  • Updated Cookiecutter template for new deployment.
  • Using PyWPS OpenDAP support.
  • Initial version of Birdy native client.

Released Birds:

  • Ansible Playbook for PyWPS 0.1.0
  • Cookiecutter Template for PyWPS 0.3.0
  • Birdy WPS Client: 0.4.0
  • Emu WPS: 0.9.0
  • Hummingbird WPS: 0.6.0

Maintained Birds with Buildout:

New Birds in the making:

Montréal (March 2018, v0.5.0)

We had a workshop in Montréal with CRIM and Ouranos.

Highlighted Changes:

  • Birdhouse has a Logo :)
  • A Cookiecutter template for Birdhouse WPS birds is available.
  • A new WPS Bird Black Swan for extreme weather event assessments is started by LSCE, Paris. This bird is spawned off Flyingpigeon.
  • A new Python library, Eggshell, is started to provide common base functionallity to WPS birds like Flyingpigeon and Black Swan.
  • The Twitcher security proxy supports now X509 certificates for authentication to WPS services.

Released Birds:

New Birds in the making:

Bonn (August 2016, v0.4.0)

Birdhouse was present at the FOSS4G 2016 in Bonn.

Highlighted Changes:

  • Leaflet map with time-dimension plugin.
  • using twitcher security proxy.
  • using conda environments for each birdhouse compartment.
  • using ansible to deploy birdhouse compartments.
  • added weather-regimes and analogs detection processes.
  • allow upload of files to processes.
  • updated Phoenix user interface.

Paris (October 2015, v0.3.0)

  • updated documents on readthedocs
  • OAuth2 used for login with GitHub, Ceda, …
  • LDAP support for login
  • using ncWMS and adagucwms
  • register and use Thredds catalogs as data source
  • publish local netcdf files and Thredds catalogs to birdhouse Solr
  • qualtiy check processes added (cfchecker, qa-dkrz)
  • generation of docker images for each birdhouse component
  • using dispel4py as workflow engine in Malleefowl
  • using Celery task scheduler/queue to run and monitor WPS processes
  • improved Phoenix web client
  • using birdy wps command line client

Paris (September 2014, v0.2.0)

  • Phoenix UI as WPS client with ESGF faceted search component and a wizard to chain WPS processes
  • PyWPS based processing backend with supporting processes of Malleefowl
  • WMS service (inculded in Thredds) for visualization of NetCDF files
  • OGC CSW catalog service for published results and OGC WPS services
  • ESGF data access with wget and OpenID
  • Caching of accessed files from ESGF Nodes and Catalog Service
  • WPS processes: cdo, climate-indices, ensemble data visualization, demo processes
  • IPython environment for WPS processes
  • initial unit tests for WPS processes
  • Workflow engine Restflow for running processing chains. Currently there is only a simple workflow used: get data with wget - process data.
  • Installation based on anaconda and buildout
  • buildout recipes (birdhousebuilder) available on PyPI to simplify installation and configuration of multiple WPS server
  • Monitoring of all used services (WPS, WMS, CSW, Phoenix) with supervisor
  • moved source code and documentation to birdhouse on GitHub

Helsinki (May 2014, v0.1.2)

  • presentation of birdhouse at EGI, Helsinki
  • stabilized birdhouse and CSC processes
  • updated documenation and tutorials

Vienna (April 2014, v0.1.1)

  • presentation of birdhouse at EGU, Vienna.
  • “quality check” workflow for CORDEX data.

Hamburg (December 2013, v0.1.0)

  • First presentation of Birdhouse at GERICS (German Climate Service Center), Hamburg.