The VAPOR tutorials provide a quick way to become familiar with VAPOR's capabilities.
Korean Supercomputing Conference (2012):
This is a short tutorial showing how to use VAPOR to visualize WRF-ARW output data.
This is based on a WRF-ARW simulation of Hurricane Katrina on August 29-31, 2005. The data follows Katrina, starting a few hours before landfall, illustrating the initial impact and the subsequent dissipation after Katrina moves northward. You will visualize 10 or 20 hourly time-steps of the wrf output data. The same techniques can be used to visualize any time-varying WRF-ARW dataset.
This guide is intended to provide the new user with a quick introduction to the use of VAPOR. Just work through the instructions to get a basic understanding of the tool.
The VAPOR user interface is intended to enable scientists to readily visualize and analyze time-varying datasets that result from numerical simulation. These datasets can be extremely large: Often many terabytes of data result from months of supercomputer calculations. Simply reading and writing such data can take weeks, so visualization and analysis of this data would ordinarily involve enormous batch runs, with little hope for scientists to interactively work with their data. Using VAPOR, much of this work can now be performed interactively!
This guide provides a few examples to illustrate that such massive datasets do not need to be impenetrable. VAPOR permits users to interactively visualize large- and small-scale features of massive time varying datasets, without needing to process the entire dataset.
This case study is intended to provide the new user with a quick introduction to the use of VAPOR (Visualization and Analysis Platform for Research) with WRF (Weather Research Forecast model), visualizing data obtained from the advanced research WRF ARW model.
This case study is provided as a self-guided tutorial showing how to use the most important features of VAPOR on a weather dataset. The methods presented here are applicable to other datasets as well
This VAPOR user's guide is intended especially to assist the typhoon research scientists who are using the WRF model in their research. Most of the descriptions in this manual are taken from the existing VAPOR documents, but all figures are prepared independently using VAPOR and WRF typhoon simulation data.
This document is a tutorial on the combined use of two NCAR-developed visualization tools, VAPOR (Visualization and Analysis Platform for atmospheric, Oceanic, and solar Research) and NCL (NCAR Command Language). NCL is used to construct 2D data plots from WRF data, and then these 2D plots can be inserted in an appropriate location in a VAPOR 3D scene of the WRF data.
A basic familiarity with NCL and VAPOR may be helpful to the reader, but not required for this tutorial.