2012

The BALTRAD network has successfully demonstrated deployment by integrating data from 37 weather radars in seven countries into the system that forms the basis for the BALTRAD+ project. National meteorological institute in Ukraine, the Ukrainian Hydro-meteorological Center (UHMC), has expressed interest to join BALTRAD+ as a partner.

End-User Applications

A radar-based Risk Assessment Map (RAM) for urban flooding was developed in Aalborg University as tailored BALTRAD end-user product. The idea behind the application is that the RAM should support the daily routines in urban drainage management by facilitating an easy access to radar based observations. The properties and functionally of the Risk Assessment Map product was determined in a dialogue with the BALTRAD partner Aarhus Water Utility. The RAM is based on a combination of radar and rain gauge data. The radar data is received from DMI’s BALTRAD node via BALTRAD data exchange to the Aarhus Water BALTRAD UD node, which is the first BALTRAD sub-node. The rain gauge data source is sent from Aarhus Water (in Aarhus) to the Aarhus Water BALTRAD UD node (in Aalborg).

BALTRAD partner STUK (Radiation and Nuclear Safety Authority) has developed a Web Map Service (WMS) -package as interface to visualise BALTRAD data in STUK's emergency systems KETALE (Centralised data system for the management of dispersion and dose calculation results) and USVA (Web interface to display results from the online dose-rate-monitoring network). STUK receives real-time radar data from FMI’s BALTRAD-node. (More about WMS)

Further end-user applications are under development.

Local Area Weather Radar (LAWR) integration

The integration of LAWR data into the BALTRAD network is an important step towards user-orientation in the urban context. . LAWR have the potential to fill the gaps in the coverage of conventional radars. The BALTRAD system is designed to handle radar data in a general way it is possible to use LAWR data just like data from the conventional systems. This integration was demonstrated successfully. The BALTRAD sub-node in Aalborg University is online and exchanging data with two other nodes. The development of first and second generation radar data integration models have been completed and tested in off-line mode.

Under the hood

External support function was established, including regular software updates and commits to GIT server (git.baltrad.eu) and testing, integration and deployment on Jenkins continuous integration server (git.baltrad.eu/jenkins);
Data exchange component (BaltradDex) went through major modifications, aiming at improving exchange reliability and stability.  These include modified and improved the data exchange format and communication scheme, database normalization, transactions in the object-relational mapping, error detection and more.

System documentation, such as user manual including data exchange format documentation was elaborated in parallel with development activities, and source code documentation was generated both with Javadoc and Doxygen tool.

Several Quality Assurance algorithms are implemented, validated, documented and added to the BALTRAD toolbox.

A flow of surface observations from the DWD's GISC (Global Information System Center) to SMHI's BALTRAD node has been established. It offers other BALTRAD partners access to such observations in the same way once we have finalize such methodology.
 

 

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