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Dynamic Data Visualization of Meteorological Data Presented at ASA-JSM 2006 Data Exposition Sponsored by the ASA Sections on Statistical Graphics, Statistical Computing, and Statistics and the Environment. Bruce Peterson, TeraStat [email protected] Copyright 2006

Dynamic Data Visualization of Meteorological Data

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Page 1: Dynamic Data Visualization of Meteorological Data

Dynamic Data Visualization of Meteorological Data Presented at ASA-JSM 2006

Data Exposition Sponsored by the ASA Sections on Statistical Graphics,

Statistical Computing, and Statistics and the Environment.

Bruce Peterson, TeraStat

[email protected] Copyright 2006

Page 2: Dynamic Data Visualization of Meteorological Data

Background

This poster is in response to the Data Exposition sponsored by the ASA Sections on Statistical Graphics, Statistical Computing, and Statistics and the

Environment.

The competition provided a data set of geographic and atmospheric data

from NASA and entrants were asked to provide a graphical summary of the important features of the data set.

Page 3: Dynamic Data Visualization of Meteorological Data

Dynamic Data Visualization of Meteorological Data

ASA JSM Seattle 2006

Bruce Peterson, TeraStat, Inc.

[email protected]

Patent Pending copyright 2006

Derived attribute: Insolation aggregates cloud cover data

Insolation = 100 - max(low cloud, mid cloud, high cloud)

Air and surface temperatures are correlatedOzone concentrations show strong seasonal pattern

NASA Data Sectors

Elevation Number of Sectors Percent

Sea Level 305 53.0

Sea Level to 100 M 91 15.8

100 M to 300 M 65 11.3

300 M to 1000 M 61 10.6

1000 M to 3000 M 46 8.0

Over 3000 M 8 1.4

Subset by Elevation

Most NASA data sectors are ocean. To explore thebehavior of ozone, sectors above sea level wereexamined.The effect of elevation on attribute dynamics wasexamined by grouping observations by elevation.Sectors with elevations in bold are used in followingvisualization.

Elevations100 to 300 M300 to 1000 M1000 to 3000 M

Sectors Visualized

NASA Data

Sectors

Preliminary examination of NASA data shows anomalies.

The scatter plot indicates that pressure measurements

changed in mid 1998

Derived Attributes:

Temperature Differential= Air Temperature

Cloud cover appears hierarchical

Upper level cloud cover may be obscured by low level

clouds

Derived Attribute: AirSurfDif, difference of air and surface

temperatures.

AirSurfDif=Air temperature - surface temperature

Page 4: Dynamic Data Visualization of Meteorological Data

Dynamic Data Visualization of Meteorological Data ASA JSM Seattle 2006

Bruce Peterson, TeraStat, Inc.

[email protected]

copyright 2006

1998 Autumnal Equinox1000 to 3000 Meters Elevation

Barometric

Pressure

Axis

Air-Surface

Temperature

Difference

Axis

Ozone

ConcentrationAxis

Visual Filter:

Logs entity entry

and exit

Sector Entity:Color denotes

insolation

History Trace:Length is velocityof change

Elevation over 3000 meters

CelInterpretation

Key

Mapping Data Attributes to Animation

Attributes

Animation Entities:

Observation sector

Animation Sequencing:

Monthly date (imputation of daily values)

Animation Spatial coordinates:

X coordinate - AirSurfDifference

Y coordinate - Ozone concentration

Z coordinate - Barometric Pressure

Entity Color:

Insolation

Page 5: Dynamic Data Visualization of Meteorological Data

Dynamic Data Visualization of Meteorological Data

ASA JSM Seattle 2006

Bruce Peterson, TeraStat, Inc. [email protected]

Patent Pending

copyright 2006