![]() ![]() This combination of quick browse and efficient access not only saves time for the end user, but allows for more effective use of the data. GODIVA2 is a OGC Web Map Service (WMS) client that allows users to easily create maps or animations that rely on images generated TDS WMS service. Instead of asking a research centre for dedicated production or posting of these data, the user can connect directly to the TDS and quickly browse the data using the viewer link for GODIVA2. Personnel at the regional agencies of environmental protections (such as ARPA in Italy) may need to check the results of complex and integrated numerical models, for instance forecasting the wave-height or the currents regimes in front of the Venice littoral zone. Python users can use OPeNDAP access tools contained in packages such as NetCDF4- Python ( Other users may be more interested in browsing the results than in working directly with arrays of data. By using the NCTOOLBOX for MATLAB ( the user can extract the data, have them in his MATLAB workspace and easily plot them or perform a more in-depth analysis. One popular method is to access data directly from MATLAB, a common tool for scientific analysis and visualization. Once connected to a dataset on TDS, users can extract just the data they need using a variety of methods. For a thorough description of these test cases, see. At the moment, the CNR- ISMAR Venice catalogue contains datasets from several different implementations of the coupled hydrodynamic-wave-sediment model ROMS (Datasets are regularly updated, and include cases from different geographic areas (e.g., the Adriatic sea and the Gulf of Lyon). Matlab plot in webmap archive#Once a user has selected archive dataset, a description of the dataset (metadata) appears, along with available web services and data viewers. The CNR-ISMAR Venice catalogue catalog.html represents one of the first Italian community examples taking the IOOS approach. ![]() Configuring the TDS for local datasets, of course, takes longer, but is still straightforward. A provider simply verifies that they have Sun Java, downloads and unzips Tomcat, and then deploys the thredds.war file through the Tomcat GUI, a process that typically takes less than one hour, and sometimes as little as 10 minutes. The TDS is simple to install, as it is 100% Java servlet typically deployed on Tomcat. Thus oceanic and atmospheric model output, as well as remote sensing data, which are typically present on a file system as numerous smaller files, can be accessed via a single OPeNDAP or WCS URL. ![]() This means that many individual files on disk can be virtually joined into a single dataset accessible through the web services. In addition to allowing non-conforming data to be virtually transformed into a common data model, the TDS has also another important characteristic that makes things easier for data providers and users: aggregation. While the catalogue services are metadata brokers, the THREDDS Data Server is a data broker ( Figure 1b), allowing many different formats of files, as well as OPeNDAP service datasets, to be transformed into a common data model for actual arrays of data. ![]()
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