Full HTML for

Basic foilset Collaborative Weather Application in CIV Project

Given by Scott Klasky, Marek Podgorny at Rome Laboratory CIV Final Review on 9 April 98. Foils prepared 9 April 98
Outside Index Summary of Material

This was either standalone or used by "Weather Officer" in C2 Application
We describe national infrastructure UNIDATA
and the NPAC 2D and 3D viewers of either real or simulated data
We describe the ARPS work on lake effect snow prediction
and our support of Vis5d format

Table of Contents for full HTML of Collaborative Weather Application in CIV Project

 Denote Foils where Image Critical
Denote Foils where HTML is sufficient
1 CIV Weather Application
2 Unidata
3 Unidata working with Prediction codes
4 What does the Unidata LDM do?
5 NPAC's model
6 Current Weather
7 Current Weather 3D
8 Capabilities of NPAC's weather viewer
9 Comparison to other viewers
10 Features of the Advanced Regional Prediction System (ARPS) code
11 Model Design Philosophy and Rationale
12 Model Design Philosophy Continued
13 Oklahoma Advanced Regional Prediction System (ARPS) code & Lake Effect Snow
14 Sample Results
15 Sample Results (continued)
16 GIS viewer
17 Vis5d File
18 Wind
19 Isosurfaces (Clouds)
20 Colored Slice
21 Varia

Outside Index Summary of Material

HTML version of Basic Foils prepared 9 April 98

Foil 1 CIV Weather Application

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Web based Weather Prediction Analysis
Fox, Ki, Klasky, Podgorny, Trzaska
Rome Laboratory Final CIV Review April 8 1998 NPAC Syracuse University
HTML version of Basic Foils prepared 9 April 98

Foil 2 Unidata

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Weather stations around the world report atmospheric temperature, pressure, winds, cloud cover, visibility, special weather conditions, and other observations. These data are collected on a regular basis and made available from the National Weather Service (NWS) via the Domestic Data Service(DDS) and International Data Service (IDS). These are both part of the NWS Family of Services (FOS). Through a subcontract with Alden Electronics, the DDS information is disseminated to via the Unidata IDD.
HTML version of Basic Foils prepared 9 April 98

Foil 3 Unidata working with Prediction codes

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
In addition to the observations of surface and upper air conditions, the NWS Family of Services contains the output of a variety forecast models run on supercomputers at the National Centers for Environmental Prediction (NCEP , formerly known as the National Meteorological Center ,NMC) and the European Center for Medium Range Weather Forecasting (ECMWF). These data products are disseminated on the High Resolution Stream (HRS). As part of the FOS, these products are also injected into the IDD by Alden Electronics as part of their contract with Unidata.
HTML version of Basic Foils prepared 9 April 98

Foil 4 What does the Unidata LDM do?

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
The Unidata Local Data Manager (LDM) is a collection of cooperating programs that select, capture, manage, and distribute meteorological data products.
The system is designed for event-driven data distribution, and is currently used in the Unidata Internet Data Distribution (IDD) project.
The LDM system includes network client and server programs and their shared protocols.
An important characteristic of the LDM is its support for flexible and site-specific configuration.
HTML version of Basic Foils prepared 9 April 98

Foil 5 NPAC's model

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
One of the most important parts of weather data analysis is to obtain up-to-date weather reports from all over the world.
  • Weather is a highly non-linear global problem. This means that in order to make accurate reports on the weather we need to look at the weather all over the globe.
We use Unidata's LDM to capture the weather data from the NWS.
HTML version of Basic Foils prepared 9 April 98

Foil 6 Current Weather

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
UCAR
4 Processor SGI
8 Processor SGI
HTML version of Basic Foils prepared 9 April 98

Foil 7 Current Weather 3D

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Given current weather for
over 500 cities, we determine
which locations have rain or
snow, and determine the
coordinates of these events.
This is animated in VRML 2.0
by using the animation nodes.
HTML version of Basic Foils prepared 9 April 98

Foil 8 Capabilities of NPAC's weather viewer

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Animation's can play images for the previous 3 days. (Can be changed).
Close up capabilities for all regions over the United States.
Interactive weather browser, which can let a user point and click to determine the current weather over any region of the continental US.
Capability to view text based weather for over 500 US. cities. This includes current weather, net day forecasts, extended forecasts, and average conditions/month.
3D Animation of current weather, generated on-the-fly.
Radar data can show where severe weather is, and can be animated to watch these effect move across the region.
  • We do not provide high resolution NextRAD data, since this is not free.
HTML version of Basic Foils prepared 9 April 98

Foil 9 Comparison to other viewers

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Unique abilities of NPAC's weather viewer
  • Animation's.
  • Interactive browser, comparable to Intellicast's.
  • First 3D weather data available on the web.
  • Collaborative: through Tango.
3D supercomputing weather data analysis viewer is the first collaborative weather data analysis program developed.
HTML version of Basic Foils prepared 9 April 98

Foil 10 Features of the Advanced Regional Prediction System (ARPS) code

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
non-hydrostatic, compressible dynamics in a terrain-following vertical coordinate
global terrain database and configuration software with 30 second terrain resolution for most of the US and one degree terrain coverage for the world.
1-D, 2-D, and 3-D Cartesian geometry
user specified vertical grid-stretching option.
warm-rain and 3 category ice (total 6 water phase) microphysics
cloud water, rain water, cloud ice, snow, and hail
HTML version of Basic Foils prepared 9 April 98

Foil 11 Model Design Philosophy and Rationale

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Mesoscale Phenomena (dx = 5 to 15 km)
  • 0 to 12 hours
  • Location of events to within 50 km
  • Timing of events to within 1 hr.
  • del V+-5 m/s, del T +-3 Kelvin, precip rate +-5mm/hr
Stormscale Phenomena (dx=1 to 3 km)
  • 0 to 6 hours
  • Location of events to within 10 km
  • Timing of events to within 15 min
  • del V +- 5 m/s, del T +- 2, precip rate +-5 mm/hr
HTML version of Basic Foils prepared 9 April 98

Foil 12 Model Design Philosophy Continued

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Microscale Phenomena (dx = 0.1 to 0.5 km)
  • 0 to 1 hour
  • Location of events to within 1 km
  • Timing of events to within 5 min
  • del V +- 5 m/s, del T +- 2, precip rate +-5 mm/hr
Current prediction models run by the NWS operate at grid spacings down to about 30km for periods out to 48 hours on a national scale.
They lack the spatial resolution to handle Lake effect snow
HTML version of Basic Foils prepared 9 April 98

Foil 13 Oklahoma Advanced Regional Prediction System (ARPS) code & Lake Effect Snow

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
With Oklahoma's help, ARPS has become one of the first weather prediction codes to predict lake effect snow.
We have built our own visualization systems to analyze the data from ARPS.
We have support for the following filters:
  • Colored 2d surfaces
  • Isosurfaces
  • Vector graphics
Animations are possible since the data holds multiple time slices
HTML version of Basic Foils prepared 9 April 98

Foil 14 Sample Results

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
HTML version of Basic Foils prepared 9 April 98

Foil 15 Sample Results (continued)

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
HTML version of Basic Foils prepared 9 April 98

Foil 16 GIS viewer

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Weather simulation visualization takes place in our 3D GIS viewer:
  • realistic terrain model
  • wavelet compression
  • mesh simplification
  • collaboration via TANGO
HTML version of Basic Foils prepared 9 April 98

Foil 17 Vis5d File

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Set of 3D grids of (weather related) variables
Variables include: temperature, humidity, rainfall, wind, etc.
Time can be a 4th dimension
HTML version of Basic Foils prepared 9 April 98

Foil 18 Wind

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Vis5d file contains 3 wind components:
  • west to east (variable U),
  • south to north (variable V),
  • down to up (variable W)
Sum of the three gives a direction and speed of wind in a particular point
Dragging handles changes the position of the set of vectors
HTML version of Basic Foils prepared 9 April 98

Foil 19 Isosurfaces (Clouds)

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Humidity variable can be used to visualize clouds
Marching Cubes algorithm deployed to create isosurfaces
HTML version of Basic Foils prepared 9 April 98

Foil 20 Colored Slice

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
Shows a cut through a 3d grid of any variable
Handles used to change the position of a cut
HTML version of Basic Foils prepared 9 April 98

Foil 21 Varia

From Collaborative Weather Application in CIV Project Rome Laboratory CIV Final Review -- 9 April 98. *
Full HTML Index
All the weather visualization objects are shared with other 3D GIS participants
Open Inventor animation engines deployed to visualize changes of clouds, rainfall, and other variables as time passes.
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