that throw a significant amount of radiological fallout
into the atmosphere). This model should not be used
for high-altitude bursts or deep-water bursts.
This model assumes a 100 percent fission yield
through the complete spectrum of nuclear weapons,
including thermonuclear weapons; this is a worst case
estimate.
FUNCTIONAL DESCRIPTION
Output consists of an analysis of dosage of
radioactive energy plotted on an appropriate
geographic background. The speed and direction of the
effective fallout wind are included on the display. ATP-
45 output, such as the cloud radius and deposition
boundary, is provided on a second screen. Figure 7-8
shows an example output of the RADFO model, and
figure 7-9 shows an example of ATP-45 outputs.
FORWARD-LOOKING INFRARED
(FLIR)
LEARNING
OBJECTIVES:
Identify
applications, limitations, and assumptions of
the FLIR program. Interpret FLIR tables for
detection ranges for predefined altitudes and
target types.
The FLIR System Prediction program determines
the detection, categorization, and identification ranges
of airborne FLIR sensors against surface targets.
Ranges are given as a function of aircraft altitude and
are for a 50 percent probability of detection,
categorization, and identification of the target. The
atmospheric data consisting of height, atmospheric
pressure, air temperature, and dewpoint temperature
come from the atmospheric environmental file (AEF).
Surface wind speed and visibility are input from the
keyboard when the program is run.
Figure 7-8.-Example output of the RADFO model.
7-18
