April 2017 - October 2017
Yuan Ho, Julien Chastang
__Latest netCDF-Java Version__
The version of the netCDF-Java library currently distributed with the latest stable IDV version (5.4) is the 4.6.10 (April 19, 2017). The prior version of netCDF-Java to be distributed with the IDV was 4.6.7. There have been many improvements and bug fixes in that range. The complete release notes for these versions can be found here.
__ISL Changes__
__Java Version__
The IDV is distributed with Java 8 u51. Because of a Windows 10 related bug on some older Intel hardware, this will be the latest version of Java we will be deploying with the IDV for some time.
__Java 3D Version__
The IDV is distributed with Java 3D version 1.6.0 Final. Java 3D 1.7 prerelease is under development and continues to be supported in some capacity by the open source community.
__HTTP to HTTPS__
As US government servers transition from HTTP to HTTPS, we update URL references in the IDV (rbi files, plugin files, etc.) to reflect these changes.
__Derived Quantities__
__Point Observations__
Can now display relative humidity, wind chill, and heat index for metar point observations
__Plugins__
The IDV Jetstream plugin allows easy access to Jetstream installations of the TDS, RAMADDA and ADDE from the IDV. The plugin URL is http://science-gateway.unidata.ucar.edu/jetstream.jar
__GOES-16 GLM (Global Lightning Mapper) data in the IDV__
A new GLM plugin has been developed to add three new data source types in the IDV (5.4 and nightly): GLM GROUPS Data Files, GLM EVENTS Data Files, and GLM FLASHES Data Files. These three new data source types will enable IDV users to load and display GLM data from
Local disk and remote TDS systems.
__Super High Resolution Display__
Added a new FAQ item to help IDV users to deal with the small font and display issues in a super high Resolution screen.
__2D/3D Trajectories__
Improvements and enhancements in the underlying VisAD library has enabled a new grid 2D/3D trajectory feature in the IDV. The 2D/3D grid trajectories can be colored by speed or other parameters. The initial area of the trajectory is the entire domain of the dataset. However, regions can be selected with points, rectangles and closed polygons.
There are a variety of grid trajectory types including ribbon, cylinder, deform ribbon, point.
__Latest Version of VisAD__
The SSEC team at UW, Madison has made a number of improvements to support 3D trajectories.
__Skew T__
Fixed a bug concerning CAPE and CIN calculations in the Skew-T display.
__Transect Line__
Fixed the problem of the transect line modification in the -180 to 0 longitude domain.
__IDV Web Cams__
The IDV webcam list continues to be updated regularly
Jeff Weber and Yuan are collaborating with David Gochis, and Dave Yates from NCAR-RAL assisting them ensuring WRF-Hydro data is CF compliant regarding Point Feature type. In addition, we are helping them with visualization of this dataset in the IDV.
IDV 5.4 was released in May of 2017.
In collaboration, with University of Miami Professor Brian Mapes, Unidata submitted an EarthCube proposal: “Drilling down from a statistics scatterplot to pre-populated case notebooks”. This proposal was awarded $1.3 million over three years.
Unidata hires Celia Hedrick, a Software Engineer II to work on this project.
IDV Publication Highlights
A Google Scholar Search reveals a number of publications that cite use of the IDV (doi:10.5065/D6RN35XM).
Building upon previously described Docker containerization efforts, we have deployed RAMADDA on the XSEDE Jetstream cloud. This installation of RAMADDA has a “view” of the IDD on Jetstream. In addition, there is a collection of IDV bundles that retrieve data from the TDS installation on Jetstream.
ADDE is a data server developed by SSEC that primarily serves satellite and radar imagery and point observations to the IDV. An ADDE server is available at adde-jetstream.unidata.ucar.edu over (the usual) port 112.
__Gateways 2017__
__2017 American Geophysical Union (AGU) Annual Meeting__
__2018 American Meteorological Conference (AMS) Annual Meeting__
__IDV Instructional Videos__
No instructional videos on the IDV are planned at this time. We would appreciate input and suggestions on specific video topics.
__IDV Seam Issues__
We will continue to collaborate with the Unidata netCDF-Java team to devise a solution for
long-standing longitude seam issues in the IDV.
__Investigation of Java 3D Alternative__
Because of concerns about the long-term viability the open-source Java 3D project, the IDV team has begun discussions with our University of Wisconsin, SSEC collaborators to replace Java 3D with a more viable alternative within the VisAD API. We have started investigating whether the Ardor 3D can meet that objective. Looking into alternatives to Java 3D was also a goal described in the Unidata 2018 Five-year plan.
__GOES-16 GLM Collaboration__
At the 2017 EarthCube netCDF-CF Workshop, Unidata began discussions with SSEC, Randy Horne (Excalibur labs), Professor Eric Bruning (Texas Tech) on a path forward for displaying GOES-16 GLM (Global Lightning Mapper) data in the IDV.
We have no questions at this time.
__E-Support__
The IDV team continues to provide the geoscience community with high-quality support through e-support software and idv-users maillist. The volume of e-support remains high and constitutes a large fraction of our daily activities. In the last half year the IDV team has closed ~90 e-support tickets. Each individual ticket may and often does involve many back-and-forth messages. There is an especially large number of support requests coming from international users.
__Usage Metrics__
Raw IDV usage metrics, are available here http://www.unidata.ucar.edu/software/idv/logging/left.html.
Top ten universities running IDV are: Millersville, Oklahoma, University of Utah, St Cloud state, Plymouth, NC State, West Kentucky, Lyndon State, University of Illinois, and San Francisco State.
__Github Pull Requests__
In the area of greater collaborative development, since the migration of the IDV project to github, we have closed a total of 111 “pull requests” or code contributions from internal and external collaborators.
__Youtube IDV Instructional Videos__
In the area of online IDV training, the Youtube IDV instructional videos have been viewed 13,200 times compared with 11,500 from six months ago.
We support the following goals described in Unidata Strategic Plan:
Prepared October 2017