VAPOR是國家大氣研究中心計(jì)算和信息系統(tǒng)實(shí)驗(yàn)室的產(chǎn)物纪吮。美國國家科學(xué)基金會(huì)（撥款＃03-25934和09-06379，ACI-14-40412）以及韓國科學(xué)技術(shù)信息研究所提供對VAPOR的支持，github地址
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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.
Use of VAPOR Data Collections (VDC's)
Advanced features in VAPOR GUI
Probe Tab: Data Probe or Contour Plane
Model Tab: 3D Geometry Display
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.
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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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)
Interactive 3D visualization of geosciences data with VAPOR
Korean Supercomputing Conference (2012)
Intro to VAPOR and geosciences data
Obsolete Tutorials (pre VAPOR 2.4.0)
VAPOR Quick Start Guide (2008)
Getting Started with VAPOR and WRF
Data Conversion with VDCWizard
VAPOR/WRF Data and Image Preparation Guide
這個(gè)動(dòng)畫是2007年3月在韓國黃海上模擬WRF（天氣預(yù)報(bào)）的結(jié)果惩阶。這個(gè)結(jié)果的目的是找出由于海平面壓力變化引起的怪異波糊探。所以它包括氣壓钾埂，風(fēng)，云在黃海附近科平。特別是褥紫，氣壓僅在黃海沿岸附近標(biāo)出。
條目04-通過WRF-CHEM LES模式模擬的電廠羽流分散的可視化
使用VAPOR可視化由WRF-CHEM LES模式模擬的發(fā)電廠羽流分散瞪慧。顯示的模擬CO2濃度與模擬濃度成比例髓考。同時(shí)繪制低水平（300m agl）的風(fēng)向量（倒鉤），其具有與風(fēng)速成比例的長度尺度弃酌。使用VAPOR包裝的內(nèi)置工具計(jì)算發(fā)射點(diǎn)處的氣團(tuán)的前向軌跡（垂直每200米處的種子）绳军，并使用與氣團(tuán)高度（流量）成比例的色標(biāo)來顯示。為了顯示湍流結(jié)構(gòu)
條目06-使用WRF-Chem模型模擬遠(yuǎn)程運(yùn)輸空氣污染物的可視化
使用WRF-Chem模型模擬了東亞上空發(fā)生的顆粒物質(zhì)（PM2.5）5天（2010年4月24日?4月29日）矢腻，并使用VAPOR程序顯示了遠(yuǎn)程運(yùn)輸過程门驾。用于繪制圖的模型變量是PM2.5，U多柑，V和W. PM2.5的大氣濃度顯示為3維渲染技術(shù)（DVR）奶是，其紅色標(biāo)度與其濃度成比例。風(fēng)向量由海拔1500米（紅色）竣灌，3000米（綠色）聂沙，5000米（黃色）的倒鉤給出。
這個(gè)結(jié)果是由LES模型PALM進(jìn)行的平面邊界層（PBL）演化的模擬結(jié)果初嘹，該模型是在漢諾威大學(xué)開發(fā)的及汉，用于確定開發(fā)PBL的兩個(gè)因素，一個(gè)是表面熱通量屯烦，另一個(gè)是地轉(zhuǎn)風(fēng)坷随。類似于對PBL的純粹壓力房铭。
Cannot mix incompatible Qt library (version 0x40805) with this library (version 0x40807)
Aborted (core dumped)
yum? update qt
qd和C03N02都安裝了
