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  • Earth Resources and Remote Sensing; Meteorology and Climatology  (3)
  • Electronics and Electrical Engineering  (1)
  • Mathematical and Computer Sciences (General)  (1)
  • 1
    Publication Date: 2018-06-12
    Description: The Lagrange multiplier theory developed in Part I of this study is applied to complete a relative calibration of a Citation aircraft that is instrumented with six field mill sensors. When side constraints related to average fields are used, the Lagrange multiplier method performs well in computer simulations. For mill measurement errors of 1 V m(sup -1) and a 5 V m(sup -1) error in the mean fair-weather field function, the 3D storm electric field is retrieved to within an error of about 12%. A side constraint that involves estimating the detailed structure of the fair-weather field was also tested using computer simulations. For mill measurement errors of 1 V m(sup -l), the method retrieves the 3D storm field to within an error of about 8% if the fair-weather field estimate is typically within 1 V m(sup -1) of the true fair-weather field. Using this type of side constraint and data from fair-weather field maneuvers taken on 29 June 2001, the Citation aircraft was calibrated. Absolute calibration was completed using the pitch down method developed in Part I, and conventional analyses. The resulting calibration matrices were then used to retrieve storm electric fields during a Citation flight on 2 June 2001. The storm field results are encouraging and agree favorably in many respects with results derived from earlier (iterative) techniques of calibration.
    Keywords: Electronics and Electrical Engineering
    Type: Journal of Atmospheric and Oceanic Technology
    Format: text
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  • 2
    Publication Date: 2019-07-20
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: MSFC-E-DAA-TN64484 , American Meteorological Society (AMS) Annual Meeting; Jan 06, 2019 - Jan 10, 2019; Phoenix, AZ; United States
    Format: application/pdf
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  • 3
    Publication Date: 2019-07-19
    Description: An analytic perturbation method is introduced for estimating the lightning ground flash fraction in a set of N lightning flashes observed by a satellite lightning mapper. The value of N is large, typically in the thousands, and the observations consist of the maximum optical group area produced by each flash. The method is tested using simulated observations that are based on Optical Transient Detector (OTD) and Lightning Imaging Sensor (LIS) data. National Lightning Detection NetworkTM (NLDN) data is used to determine the flashtype (ground or cloud) of the satellite-observed flashes, and provides the ground flash fraction truth for the simulation runs. It is found that the mean ground flash fraction retrieval errors are below 0.04 across the full range 01 under certain simulation conditions. In general, it is demonstrated that the retrieval errors depend on many factors (i.e., the number, N, of satellite observations, the magnitude of random and systematic measurement errors, and the number of samples used to form certain climate distributions employed in the model).
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: M13-2931 , American Geophysical Union (AGU) Annual Fall Meeting; Dec 03, 2013 - Dec 07, 2013; San Francisco, CA; United States
    Format: application/pdf
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  • 4
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    In:  CASI
    Publication Date: 2019-07-13
    Description: This viewgraph presentation describes the significant progress made in the flash-type discrimination algorithm development. The contents include: 1) Highlights of Progress for GLM-R3 Flash-Type discrimination Algorithm Development; 2) Maximum Group Area (MGA) Data; 3) Retrieval Errors from Simulations; and 4) Preliminary Global-scale Retrieval.
    Keywords: Mathematical and Computer Sciences (General)
    Type: M10-0279 , 90th American Meteorological Society (AMS) Annual Meeting; Jan 17, 2010 - Jan 21, 2010; Atlanta, GA; United States
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  • 5
    Publication Date: 2019-09-14
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: MSFC-E-DAA-TN73101 , 2019 GLM Science Team meeting; Sep 10, 2019 - Sep 12, 2019; Huntsville, AL; United States
    Format: application/pdf
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