VAPOR是国家大气研究中心计算和信息系统实验室的产物。美国国家科学基金会（拨款＃03-25934和09-06379，ACI-14-40412）以及韩国科学技术信息研究所提供对VAPOR的支持，github地址
文档：
Getting Started with VAPOR and WRF
VAPOR/WRF Data and Image Preparation Guide: Instructions for converting WRF data to VAPOR format, obtaining georeferenced images to use in the VAPOR scene, and performing analysis on WRF data.
Georgia Weather Case Study: A quick-start tutorial showing how to use VAPOR to explore a WRF data set.
Using NCL with VAPOR to visualize WRF-ARW data:A tutorial showing how to use NCL to make plots of NCL data that can be embedded in a VAPOR 3D scene.
VAPOR User’s Guide for WRF Typhoon Research: A guide to using VAPOR to visualize typhoon Jangmi, including instructions for preparing satellite images and NCL plots to visualize in VAPOR.
Using Python with VAPOR: A guide to defining derived variables using VAPOR’s embedded Python interpreter.
VAPOR GUI General Guide
Basic Operations in VAPOR GUI
Use of VAPOR Data Collections (VDC's)
Advanced features in VAPOR GUI
Data Visualization
Global tabs (Viewpoint, Region, Animation) in VAPOR GUI
Scene extents and Boxes
Vapor Rendering
Image rendering
2D Data
Probe Tab: Data Probe or Contour Plane
Volume Rendering (DVR)
Isosurfaces (Iso-3D)
Model Tab: 3D Geometry Display
Flow Rendering
Barbs
Contour Lines (Isolines)
练习
Video walkthroughs covering three of VAPOR's renderers
A series of three YouTube videos that walk the user through the process of visualizing WRF Hurricane data. The user will learn how to use the Volume Renderer, Isosurface, and Flow Line tools using publicly available example data.
Visualize Hurricane Katrina
An in-depth written tutorial, visualizing a WRF-ARW simulation of Hurricane Katrina making landfall during August 29-31, 2005. The data follows Katrina, illustrating the initial impact and the subsequent dissipation after the system moves northward.
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Using NCL/WRF with VAPOR
A tutorial on how to incorporate the NCAR Command Language (NCL) with VAPOR to construct plots from WRF data, and apply them within a 3D domain.
A basic familiarity with NCL and VAPOR may be helpful to the reader, but not required for this tutorial.
XSEDE Training Webinar (2016)
Visualizing an F5 Tornado with Vapor - Xsede Tutorial 2016
Korean Supercomputing Conference (2014)
An Introduction to VAPOR
Interactive 3D visualization of geosciences data with VAPOR
Korean Supercomputing Conference (2012)
Intro to VAPOR and geosciences data
Data preparation
Obsolete Tutorials (pre VAPOR 2.4.0)
VAPOR Quick Start Guide (2008)
Georgia Weather Case Study (2009)
Typhoon Research Guide (2009)
Usage guides
Using VAPOR at NCAR
Getting Started with VAPOR and WRF
Data Conversion with VDCWizard
VAPOR/WRF Data and Image Preparation Guide
VAPOR Data Collections (VDC'S)
Using Python with VAPOR
Spherical Data Instructions
条目02-使用WRF和VAPOR模拟变化的大气
这个动画是2007年3月在韩国黄海上模拟WRF（天气预报）的结果。这个结果的目的是找出由于海平面压力变化引起的怪异波。所以它包括气压，风，云在黄海附近。特别是，气压仅在黄海沿岸附近标出。
条目04-通过WRF-CHEM LES模式模拟的电厂羽流分散的可视化
使用VAPOR可视化由WRF-CHEM LES模式模拟的发电厂羽流分散。显示的模拟CO2浓度与模拟浓度成比例。同时绘制低水平（300m agl）的风向量（倒钩），其具有与风速成比例的长度尺度。使用VAPOR包装的内置工具计算发射点处的气团的前向轨迹（垂直每200米处的种子），并使用与气团高度（流量）成比例的色标来显示。为了显示湍流结构
条目06-使用WRF-Chem模型模拟远程运输空气污染物的可视化
使用WRF-Chem模型模拟了东亚上空发生的颗粒物质（PM2.5）5天（2010年4月24日〜4月29日），并使用VAPOR程序显示了远程运输过程。用于绘制图的模型变量是PM2.5，U，V和W. PM2.5的大气浓度显示为3维渲染技术（DVR），其红色标度与其浓度成比例。风向量由海拔1500米（红色），3000米（绿色），5000米（黄色）的倒钩给出。
第17项 - 行星边界层演化的模拟
这个结果是由LES模型PALM进行的平面边界层（PBL）演化的模拟结果，该模型是在汉诺威大学开发的，用于确定开发PBL的两个因素，一个是表面热通量，另一个是地转风。类似于对PBL的纯粹压力。
Cannot mix incompatible Qt library (version 0x40805) with this library (version 0x40807)
Aborted (core dumped)
yum update qt
qd和C03N02都安装了
