Due to the end of Oracle Java free release updates, the IDV project has officially moved from Oracle JDK to OpenJDK packages that receives support via the community. The AdoptOpenJDK provides prebuilt binaries from OpenJDK class libraries. All AdoptOpenJDK binaries and scripts are open source licensed and available for free. The version of the AdoptOpenJDK distributed with the IDV is 1.8.0_282. See the adoptOpenJDK Library for a more details information.
The version of the netCDF-Java library currently distributed with the IDV is the 5.5.3. See the netCDF-Java Library for a more details information.
The new and enhanced feature of the Level 2 radar grid display reads radial parameters from the Level 2 volume scan dataset and automatically generates 3D Cartesian grid parameters. The Integrated Data Viewer (IDV) employs an 8-point weighted interpolation method for this purpose. Efficient search algorithms are utilized to identify the 8 potential valid numbers of data points from 4 available surrounding rays. These algorithms significantly contribute to expediting the process. The resultant 3D Cartesian grid parameters can be showcased through various visualization techniques such as volume rendering, iso-surface representation, cross-sectional display, and plan-view presentations.
The IDV has introduced a novel data source type named "Point Cloud Data" exclusively tailored for CF netCDF station time series feature data. This innovation facilitates the presentation of time series point clouds and point grids for such point feature data. The IDV's point cloud display effectively visualizes substantial quantities of point data (often numbering in the millions) by portraying them as a collection of points, each colored based on its corresponding parameter. Additionally, the point grid function adeptly interpolates the point station data onto a 2D regular grid, thereby furnishing a comprehensive array of visualization and analytical tools for this multidimensional dataset. This includes scatter displays as well as associated statistical analyses.
The IDV has incorporated support for displaying non-geolocated time series datasets. Furthermore, the IDV offers a range of statistical analysis formulas, encompassing area averages, level averages, maximum, minimum, mean, percentiles, and summations. The results of these analyses can now be produced as non-geolocated data and exported in formats such as CSV or netCDF. This newly introduced feature empowers users to leverage the IDV's versatile access to multiple data servers, enabling them to preprocess data for applications including machine learning and other scientific uses.
We have undertaken a comprehensive update of our ADDE services, with a primary focus on transforming ADDE into a service that can seamlessly transition to new systems while retaining its original service name, adde.ucar.edu. As part of this initiative, we have strategically diminished and redefined certain ADDE dataset definitions that we oversee across all of our public-facing ADDE servers. This strategic adjustment is aimed at enhancing both the usability and long-term continuity of these datasets.
In recent releases, there had been an issue concerning connectivity to the USGS WMS server, resulting in SSLHandshakeException error messages. We have successfully pinpointed the root cause as the trustedCerts configuration from the Unidata web server. To address this, we have taken measures to eliminate the conflict arising from the SSLHandshake specification within the bundle libraries, and subsequently generated a new ramadda jar file. With these adjustments in place, the updated libraries included in this release now enable seamless access to a multitude of WMS servers within the IDV.
The Gálvez-Davison Index (GDI) is a stability index developed to enhance the accuracy of thunderstorm predictions and predict shallower forms of moist convection in tropical regions. The newly introduced formula calculates GDI using temperature and relative humidity 3D grid fields.
The new grid diagnostics formula calculates Dry Static Energy with Temperature and Geopotential Height 3D grid fields.
The new grid diagnostics formula performs a vertical subtraction/multiplication of a 2D grid from a 3D grid.
For a list of outstanding known problems, see the Known Problems page.