Figure 1
Application of Adaguc-server: Realtime WMS for NWCSAF in a Web application.
Figure 2
Example of using WMS extensions to display a timeseries graph.
Figure 3
Weather model runs: Relation between reference time and time.
Figure 4
Image from http://www.klimaatatlas.nl/ showing climate normals for monthly average temperature in July. This image is generated by a GetMap request. By using WMS extensions, it becomes possible to add a title, subtitle, scalebar, legend and north arrow in the map.
Figure 5
The GetHistogram request (on the right), similar to the GetMap request (on the left), provides statistics for the area in view using a web friendly format.
Figure 6
The same legend is used for all twelve months. Spatial difference in temperature for a month is low, temporal difference between maps is high.
Figure 7
One of the earlier OpenGeoWeb applications, displaying the KNMI Harmonie weather model with a vertical sounding (Progtemp/Bijvoet diagram).
Figure 8
Wildcards for GetFeatureInfo. When using DIM_MEMBER=* in the request, all other members will be returned in the response. Smart clients can then show the different members or ensembles in a single plot.
Figure 9
Overview of the Adaguc-server components.
Figure 10
Overview of the provided docker-compose file, which starts all needed Adaguc components with a single command.
Figure 11
Impression of how Nearest Neighbour interpolation is used to fill the image. On the left, the center of the grid cells, on the right the filled grid cells.
Figure 12
Comparison of nearest neighbour interpolation (left) versus bilinear interpolation (right).
Figure 13
Triangles in combination with barycentric interpolation for achieving bilinear interpolation.
Figure 14
Application of contour lines (left) and shading (right).
Figure 15
Visualisation of the Dutch elevation AHN dataset (Algemene Hoogtebestand Nederland) using hillshading. The left shows the raw hillshading layer, the middle shows standard rendering without hill shading and right shows rendering with hillshading.
Figure 16
Stippling used to indicate uncertainty.
Figure 17
Left: Displaying cloud cover using symbols (unit in octa), right: symbols indicating cloud to ground lightning.
Figure 18
Left: Wind barbs for the KNMI Harmonie weather model, right: wind vectors all flowing northwards with geographical perspective correction.
Figure 19
Natural view above Australia from the Himawari Satellite.
Figure 20
OpenGeoweb application showing real time precipitation data.
Figure 21
User Interface Platform of Primavera project (H2020), visualizations served via Adaguc-server. Web map application written with OpenLayers. https://uip.primavera-h2020.eu/data-viewer.
Figure 22
Climate change scenario viewer for the Spanish Climate Change Office – https://escenarios.adaptecca.es/.
Figure 23
Fire hazard viewer with stippling applied, from https://showcase.predictia.es/fwi.
Figure 24
NWCSAF using adaguc-viewer, data selection menu has been extended with many products. From http://nwcsaf-adaguc-proofs.aemet.es/adaguc-viewer/.
Figure 25
NWCSAF displaying one of the live data streams in the adaguc-viewer. Here we selected “probability of occurrence of tropopause foldings”.
Figure 26
Adaguc displaying Satellite imagery from Meteosat (HRV, IR108, RDT-CW), Precipitation radars from OPERA and Lightning. A mix of polygons, points, and Netcdf CF is used in this application. Screenshot by AEMET. Contributors from NWCSAF, EUMETSAT, OPERA & NWCSAF2ADAGUC.
Figure 27
Jane’s Weather - A website with weather and climate forecast. Visualization is done with the Adaguc-server. Contourlines, wind barbs and shading methods are applied.
Figure 28
MeteoSat products visualization at NMA RO [11].