Unidata is hosting a Short Course on Integrating WRF and Other Model Output with Remote and In-situ Observational Datasets using Unidata's Integrated Data Viewer (IDV) on 2nd February 2014, preceding the 94th AMS Annual Meeting in Atlanta, Georgia. Preliminary programs, registration, hotel, and general information are posted on the AMS Annual Meeting Web site. To register for the Short Course from the meeting site, select Registration from the site menu, then Online Registration. You'll have to log in to register for the course, so have your AMS login information handy.
The short course is sponsored by Unidata, and registration is $25.00. From the short course description:
Many challenges exist when trying to analyze and visualize atmospheric datasets. It is often the case that those new to the field of Atmospheric Science quickly hit a "wall" when it comes to working with atmospheric data, and one of those walls is data formats. Different communities within the atmospheric science have developed tools that allow their users access a specific data type (for example, netCDF or GRIB1/2 for the modeling domain). While this might be acceptable for those who live solely in one domain (modeling, observations, etc.), life can become quite problematic once these different data types need to be accessed at the same time and in the same computing environment, for scientific analysis and visualization.
This short course seeks to break down the walls that divide different domains in the atmospheric sciences, particularly the modeling and observational community. The focus will be on integrating model output with various observational datasets, both real-time and archived, to demonstrate how the IDV enables the visualization and analysis of these disparate data sources. While this is most easily done with WRF output, other model output can be used as well.
Read more on the short course program announcement.
Participants are required to bring their own laptops for use during the course; no classroom computers will be provided.
For more information, please contact us at support-idv@unidata.ucar.edu
