Atmospheric feature detection using Langrangian scalar...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Earth science

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C702S004000, C702S183000, C702S190000

Reexamination Certificate

active

07472021

ABSTRACT:
Described are a method and a system for detecting an atmospheric feature. A value of a meteorological scalar field at an initial time is determined for a set of tracers. Each tracer is initialized at a first tracer location. An integration time is selected according to a coherence time of a type of the feature to be detected. Alternatively, or in combination with the selected integration time, a spatial resolution of the wind field is selected according to a spatial scale of the type of feature to be detected. Each tracer is advected to a second tracer location at an earlier time according to the integration time and the wind field. A value of the meteorological scalar field at the earlier time and second tracer location is determined for each tracer and summed with the value at the first location to generate an integrated value of the meteorological scalar field.

REFERENCES:
patent: 4649388 (1987-03-01), Atlas
patent: 5117359 (1992-05-01), Eccles
patent: 5315297 (1994-05-01), Cornman
patent: 5409379 (1995-04-01), Montag et al.
patent: 5959567 (1999-09-01), Wolfson et al.
patent: 6128578 (2000-10-01), Sakaino et al.
patent: 6340946 (2002-01-01), Wolfson et al.
patent: 6581009 (2003-06-01), Smith
patent: 2006/0087509 (2006-04-01), Ebert et al.
Chang et al., A Numerical Study of the ERICA IOP 4 Marine Cyclone, Jun. 12, 1995, Naval Research Lavoratory, vol. 124, pp. 27-46.
The Balanced Dynamical Nature of a Rapidly Intensifying Oceanic Cyclone, 2, Jul. 1995, American Meteorological Society, vol. 124, pp. 3-26.
Cohen et al., Airstream Boundaries in Numerical Weather Simulations, May 16, 1996, American Meteorological Society, vol. 125, pp. 168-183.
12th Conference on Aviation Range and Aerospace Teteoroly, An Assessment of Automated Boundary and Front Detection to Support Convective Initiation Forecasts, Feb. 2, 2006 Abstract, pp. 1-1, retrieved from the Internet <http://ams.confex.com/ams/Annual2006/technoprogram/paper—103694.htm>, one page.
Bieringer et al., An Assessment of Automated Boundary and Front Detection to support Convective Initiation Forecasts, Feb. 2, 2006, Federal Aviation Administration, p. 11.3, 10 pages.
Cohen, R. et al.; “Airstream Boundaries in Numerical Weather Simulations”; American Meteorological Society; Monthly Weather Review; Jan. 1997; vol. 125; pp. 168-183.
Cohen, R. et al.; “Contraction Rate and Its Relationship to Frontogenesis, the Lyapunov Exponent, Fluid Trapping and Airstream Boundaries”; American Meteorological Society; Monthly Weather Review; May 2005; pp. 1353-1369.
Lynch, P.; “Deducing the Wind from Vorticity and Divergence”; American Meteorological Society; Monthly Weather Review, vol. 116; Jan. 1988; pp. 86-93.
Bieringer, P., et al.; “An Assessment of Automated Boundary and Front Detection to Support Convective Initiation Forecasts”; 12th Conference on Aviation Range and Aerospace Meteorology; Poster Session p. 11.3; 10 pages.
Lin, J., et al.; “A near-field tool for stimulating the upstream influence of atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport (STILT) model”; Journal of Geophysical Research, vol. 108, No. D16, 4493; Aug. 2003; 18 pages.
PCT International Search Report for PCT/US2006/024425; 2 pages.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Atmospheric feature detection using Langrangian scalar... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Atmospheric feature detection using Langrangian scalar..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Atmospheric feature detection using Langrangian scalar... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4049585

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.