The Unidata Program Center will be altering the IDD NIMAGE datastream to contain all of the GOES-16 and GOES-17 Level 2 image products that are currently being being sent in the IDD NOTHER and HDS datastreams.

We plan to begin distributing a reconstituted NIMAGE feed from our top level IDD relay clusters (idd.unidata.ucar.edu and iddb.unidata.ucar.edu) in the mid-June time frame.

The Open Commons Consortium (OCC) NOAA Data Alliance Working Group is seeking feedback to help prioritize which datasets will provide maximum impact for the scientific community. They are collecting suggestions in an “Environmental Data Wish List” via a short online survey.

You can read more about their request for input on the OCC Blog, or head directly over to the survey.

A workshop on The Rescue of Data At Risk will be held in Boulder, Colorado, on 8-9 September 2016, in association with International Data Week, taking place the following week in Denver.

The workshop is being organized by the joint CODATA Task Group for Data At Risk and the RDA Interest Group for Data Rescue, and is being hosted by NCAR.

CAPE plot from Millersville PECAN data.

In the summer of 2015, from June 1st to July 15th, a fleet of scientists set out each evening in the Midwest. Their goal? To gain insight on the nocturnal mesoscale convective storms (MCS's) that plague America's heartland. While MCS's are necessary for irrigation and the replenishing of aquifers, often these storms can become vicious; especially at night when they are least detected.

With the implementation of the field experiment PECAN (Plains Elevated Convection at Night) scientists from eight research laboratories and fourteen Universities including Millersville University of Pennsylvania hope to gain insight to better predict these nocturnal storms. After the data were collected, the Unidata Program Center (UPC) worked closely with Millersville students and academic staff to help standardize their PECAN study data.

Unidata is searching for a second round of geoscience researchers or research groups to participate in an NSF-funded pilot project aimed at implementing publicly-available, robust data management workflows. The initial round of this project assisted three atmospheric science projects that collected data including model output, airplane-based lidar data, and observations from a large field campaign. The second round seeks to identify additional community partners with different data management requirements.

In addition to helping researchers satisfy current funding proposal requirements, we hope to test effective methods of collecting, transforming, storing, and sharing atmospheric or related geoscience data. The methods used will be documented and published for broad community application as examples in Unidata's Data Management Resource Center (DMRC), serving to guide similar projects.