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L to R:
Jim Johnson, Teresa Van Hove, Stick Ware,
John Braun

Back:
Jack Fellows, Mitch Randall, Stick Ware,
Rick Anthes
Middle: Teresa Van Hove, Jim Johnson, Larry Corman
Front: John Braun, Cory Morse, Wayne Moore
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In
November 2002, UCAR's Office of General Counsel recognized employees
and their divisions for receiving patents issued by the United
States Patent and Trademark Office during the last 2 years.
These
patents, (not in order with photographs) are:
1.
Title: HiRIM - "High Resolution Ionospheric Technique
for Regional Area High-Accuracy Global Positioning System
Applications." - Patent No.: US 6,356,232 B1
Inventors:
Christian Rocken, Randolph Ware, James Johnson, John
Braun, Teresa Van Hove and Christopher Alber (UCAR
inventors are italicized).
Division:
GST
Description:
HiRIM technique applies a mathematical adjustment to correct
GPS location measurement errors caused by signal delays resulting
from variations in the state of the ionosphere above the GPS
ground network. The HiRIM technique has the ability to produce
higher accuracy GPS surveying results through the use of low-cost,
single-frequency receivers in real-time or in post-processing
applications, obtaining results that demonstrate greater accuracy
than what is currently achievable with more expensive dual-frequency
receivers.
2.
Title: The Storm Predictability Detector (Method for Determining
Storm Predictability) - Patent No. US 6,340,946 B1
Inventors:
James Wilson, Marilyn Wolfson, Barbara Forman,
Robert Hallowell, Michael Moore, and Sandra Henry (UCAR inventors
are italicized).
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Division:
RAP
Description:
Accurate, short term (e.g. 30 -120 minutes) weather predictions
of the location, growth and decay of organized storms are
extremely important to many sectors of the population. The
"Storm Predictability Detector" uses image processing
techniques to analyze weather radar images at the individual
pixel level to determine a "Predictability Score"
proportional to the near-term (approximately 1-hour) predictability
and nature of change for each pixel in an imaged storm area.
The storm prediction images generated by the method of the
invention provide an indication of the predictability, or
likelihood, that the storm features and changes it displays
will take place over the next hour. This is a joint invention
of UCAR and M.I.T.
3.
Title: Radar System Having Multiple Simultaneously Transmitted
Beams Operating in A Scanning Mode to Identify Scatterers.
- Patent No.: US 6,377,204 B1
Inventors:
Mitch Randall and Joshua Wurman (bold are UCAR
inventors).
Division:
ATD
Description:
The Multiple, Simultaneously Transmitted Beam radar system
simultaneously transmits and/or receives a plurality of beams
of high frequency energy in a scanning mode to identify the
presence, location and characteristics of scatterers in a
predetermined volume of space. This invention provides a solution
in the field of radar systems, particularly weather radar
systems, by creating an inexpensive self-contained radar system
that collects sufficient data to provide accurate information
to the users relating to the presence, locus and characteristics
or scatters in a region of space and in a short period of
time.
4.
Title: NIMA II - NCAR Improved Moments Algorithm (Method
of Moment Estimation and Feature Extraction for Devices Which
Measure Spectra as A Function of Range or Time) - Patent No.:
6,307,500 B1
Inventors:
Larry Cornman, Cory Morse and Robert Goodrich
(UCAR inventors are italicized).
Division:
RAP
Description:
NIMA II presents a new method for estimating moments from
wind measurement devices that measure Doppler spectra as a
function of range. Quite often the spectra are contaminated
by a wide variety of sources, including (but not limited to):
birds, aircraft, velocity and range folding, radio frequency
interference, and ground clutter. These contamination sources
can vary in space, time, and even in their basic characteristics.
Human experts analyzing Doppler spectra can often identify
the desired atmospheric signal amongst the contamination.
However, it is quite difficult to build automated algorithms
that can approach the skill of the human expert. The method
embodied in the patent relies on mathematical analyses, fuzzy
logic synthesis, and global image processing algorithms to
mimic the human expert. Fuzzy logic is a very simple, robust,
and efficient technique particularly well suited to this type
of feature extraction problem. These new moment estimation
algorithms were originally designed for boundary layer wind
profilers, however they are quite general and have wide applicability
to any device that measures Doppler spectra as a function
of range (e.g., lidars, sodars, and weather radars).
5.
Title: "Best-in-Time" (a/k/a, User Specific
Real-Time Weather Information Source for Compiling Time Varying
Weather Conditions Relating to Future Event) - Patent No.:
US 6,298,307 B1
Inventors:
Robert Barron, Wayne Moore and John M. Murphy
(UCAR inventors are italicized)
Division:
RAP
Description:
The Best-In-Time Forecast System, like its namesake, "just-in-time
manufacturing," determines, in real-time, what forecast
or observational data from its database is most appropriate
and, hence, is "best" to display to answer a user
requesting weather information about a particular location
and future date. In addition, the Best-In-Time Forecast System
is designed to display weather parameters deemed to be most
relevant to the intended utility of the requested forecast,
such as, providing forecast and observational data about accumulated
snow depth, wind-chill, and wind speed and direction when
a user requests weather information about an upcoming ski
trip.
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