NinJo Publications

On this page, you can find some scientific publications of the NinJo Workstation and related systems.

Koza: NinJo at DMI, a status report

17th Meeting of the European Working Group on Operational Workstations (EGOWS), Budapest, Hungary, 12-15 June 2006

Abstract: The presentation will focus on presenting the status on two topics: The NinJo development work carried out at DMI and the deployment of the NinJo workstation.
The main responsibility of DMI within the NinJo project has been the development of a framework for creating diagrams displaying meteorological data. The development of the framework has lead to new features/frameworks useable by other components with in NinJo such as a legend framework. Examples of the use of the diagram framework for diagram implementations will be given.

Since NinJo 1.0 the NinJo workstation has been in use operationally. The deployment platform and the status of the roll-out will be presented.
See full Presentation: (2,9 MB)

Haucke: NinJo 1.1 operational - new components and deployment status

17th Meeting of the European Working Group on Operational Workstations (EGOWS), Budapest, Hungary, 12-15 June 2006

Abstract: NnJo is the Meteorological Workstation System, developed, deployed and in use at 5 meteorological services: Deutscher Wetterdienst (DWD), German Military Service, DMI, MCH, MSC. The DWD and the German Military Service are using NinJo.1 in an operational way. The legacy systems will be decommissioned by fall 2006. NinJo meets the expectations of the project partners and the deployment is in progress everywhere.

New components in NinJo1.1 are: The automated weather monitoring system "AutoMon" checks incoming data against configurable rules and threshold criteria. The "EPM" component for issuing and monitoring of text warnings now goes through the preoperational tests. Recently added components are also the aviation specific layer with TAF, METAR, GAFOR and a flight corridor and a road data (winter maintenance) layer. The NinJo SCIT layer presents storm cell identification and tracking data. With the NinJo formula framework algorithms can be developed and integrated by the user. Currently only gridded data is supported.

Highlights are also on the "on the fly" calculation of Cross Sections, and forecast soundings. Time series of model data of various forecast models can be easily compared using NinJo's "Multi Model Meteograms".
The Surface and Sounding layers have been extended by lots of calculated operators, tools for station-plot configuring, filtering and sorting of station entries in the map.

The visualisation of nowcasting products in the satellite layer, the modification of point forecasts (MMO-Layer) also belong to the new or improved components.

On the server side a new architectural component was added: the science modules. The first example is the OOG (object optimised guidance), which will improve the point forecasts using remote sensing data, observations and nowcasting products. For the interactive part the first prototypes of "Onscreen Analysis" and graphical editor are part of the release.
Some significant improvements in the graphical user interface give NinJo1.1 a new and better look.

A short report about the deployment status in DWD will be added to this presentation as well.

Joe et al.: Severe Weather Forecasting Tools in NinJo

World Weather Research Program Symposium on Nowcasting and Very Short Range Forecasting, Toulouse, France, 5-9 September 2005

Abstract: NinJo is a meteorological workstation collaboratively developed by the Deutscher Wetterdienst (DWD), the Bundeswehr Geophysical Service (BGS), the Danish Meteorological Institute (DMI), MeteoSwiss (MCH) and the Meteorological Service of Canada (MSC). DWD initiated a program of providing severe weather warnings for 2005. Several existing radar based severe weather analysis packages are being incorporated into NinJo: the KONRAD (Convective Radar) package of the DWD, the TRT (Thunderstorm Radar Tracking) and the CARDS (Canadian Radar Decision Support) system. Primary concepts of the NinJo workstation is that it is a data visualization system; that it integrates data in time and space and that it links data and forecast applications at the user or configuration level. These capabilities allows for the extension of the radar based packages to use and include all data sources – e.g., satellite, model, point data. For example, multi-radar cross-sections can be overlaid with upper air observations for better diagnosis and timing of large scale driven events. Automatic monitoring of data or application output can be configured for alerting purposes – e.g., surface temperatures can be monitored for exceeding the convective temperature for air mass thunderstorm initiation or satellite heights can be compared to tropopause heights to identify overshooting cloud tops or radar features can be configured to be compared against thresholds. The configurability of the system allows for different forecasting philosophies and requirements to be addressed. This is a project in progress, the presentation will discuss requirements, design, data, configuration and usability issues.
See complete Document: (750 kB)

Joe, Falla: Radar Visualizations in the NinJo Project

Third European Conference on Radar in Meteorology and Hydrology (ERAD), Visby, Island of Gotland, Sweden 6-10 September 2004

Abstract: NinJo is a collaborative meteorological forecaster visualization workstation project led by the Deutscher Wetterdienst (DWD) and includes MeteoSwiss (MCH), Danish Meteorological Institute (DMI), and the Meteorological Service of Canada (MSC). The MSC has the lead for the visualization of radar data for the consortium. A basic philosophy of NinJo is that it is a geo-referenced data viewer and not an image viewer. This implies that rendering of the screen image is always done directly from the data and interactive data probing using the mouse uses the original data and not the rendered visualization. The data is stored in its native format, rather than stored in a common internal format, in order not to degrade the it. Zooming in will result in a visualization that shows the full details and resolution of the original data.

The consortium members use radar in different ways – for weather surveillance, for severe weather and for hydrological applications – and have different radar products that reflect these applications. The project must resolve the diverse requirements and also combine the products and outputs from diverse legacy radar processing systems, scan strategies, products and data formats. In addition, processing of radar products from neighboring countries is also a requirement. The system uses composites (pre-generated or generated on the fly) in the main scene with “drill down” capability to either single radar products, to cell views, to vertical profiles, to cross-sections and to probe data. Using the geo-referencing data concept, the radar data can be visually (and can be mathematically) combined with other meteorological and non-meteorological data for efficient and effective decision-making and forecast production.
See complete Document: (3,1 MB)


  1. NinJo 1.9 has been released in November 2015.
  2. In September 2014, the NinJo User Group (NUG) held its annual meeting, this year under the topic "Analysis, diagnosis and production with NinJo", in Toronto, Canada.
  3. In June 2014, the European Working Group on Operational Workstations (EGOWS) held its meeting in Oslo, Norway. The NinJo contribution had the topic "Event-based forecasting and collaboration".
  4. NinJo 1.8 has been released in May 2014.