This is the main project site of the GEO Air Quality Community of Practice Community WCS server (public access) and the Jülich WCS interface (restricted access). WCS is a standard for geospatial information exchange defined by the Open Geospatial Consortium (http://www.opengeospatial.org/standards/wcs). WCS enables web applications to share time-varying geospatial data sets across different sites without having to keep local copies of these data. The GEO AQ CoP Community WCS server is a python tool that has been jointly developed by Washington University, Louisiana, USA (Rudy Husar and Kari Hoijvari) and Forschungszentrum Jülich (Michael Decker and Martin Schultz). It has been successfully implemented at a number of sites worldwide to deliver data from atmospheric composition measurement stations, satellites and numerical models (see the section on the “Air quality data network” on http://wiki.esipfed.org/index.php/Air_Quality_Data_Network. The Jülich WCS interface allows for easy access to data that are delivered from WCS servers and includes options to select geographic regions, variables, time ranges, and to visualize the data in various ways. It is for example employed in the European MACC project (Monitoring Atmospheric Composition and Climate) as a boundary condition server for regional air quality models (see http://macc.icg.kfa-juelich.de:50080) , or as a front-end to the TFHTAP multi-model experiment database hosted at IEK-8 of Forschungszentrum Jülich (see http://htap.icg.kfa-juelich.de:50080)
GAW SIP (02/19/2015 06:18 PM)
Discussion forum and file sharing for development of the GAW Strategic Implementation Plan
File repository: http://redmine.iek.fz-juelich.de/projects/gaw_sip/files
Action Items: http://redmine.iek.fz-juelich.de/projects/gaw_sip/issues...
Python Tools (12/13/2012 01:33 PM)
A collection of useful python programs with a focus on reading, analyzing, and plotting of atmospheric (composition) data.
A growing repository of python programs is available at [https://repositories.iek.kfa-juelich.de/hg/hammoz-tools/]. This "project" primarily consists of a collection of...
CFchecker (09/20/2012 12:35 PM)
The CFchecker aims to provide as-complete-as-possible support for compliance checking of the NetCDF Climate and Forecast (CF) Metadata Conventions (http://cf-pcmdi.llnl.gov/).
It is implemented as a pure Python library and commandline utility that can be used either stand-alone or as part of other (Python) software. While it should theoretically be possible to run it on any platform that is supported by Python, the primary target platform so far is Linux. This is due to 3rd party libraries that might not be supported on all platforms....
Upload file facility (08/10/2012 04:27 PM)
The task force hemispheric transport of air pollution (TFHTAP) file upload facility has been developed to support the second phase of the TFHTAP multi-model intercomparison activity. The idea is to provide the participants of this exercise with a tool that will help them to ensure that their submitted model output files adhere to the agreed formatting standards and contain reasonable results. This does not eliminate the need for careful inspection of your model output, but it can help to avoid some errors, and it will greatly facilitate the analysis of the model results by researchers who may not be familiar with the details of each model....
JOIN Version 1 (pre-Django) (06/17/2012 11:15 PM)
The Jülich OWS Interface (JOIN) provides interoperable web services for modeling and emission data sets allowing for easy download and visualisation of multi-dimensional atmospheric composition and emission data via the internet. The European project Monitoring of Atmospheric Composition and Climate (MACC) provides daily analyses and forecasts of the global and European atmospheric chemical composition using a comprehensive modeling and data assimilation system. These data are made available in the form of different catalogs either stored locally on the Jülich WCS server or accessed from other WCS servers from European and international partners. JOIN provides a user friendly interface for flexible selection of data sets delivered from WCS servers. The user can select a geographical region, time range and different variables from the selected dataset and can then either download the data or visualize them in the form of maps, vertical cross sections or time series. A special feature is the comparison of model results with observational data in near realtime (daily updates). This is being implemented at present and currently works for air quality monitoring data from the German Umweltbundesamt....