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This work by Robert Boldi at NSSTC/UAH focuses on Hazardous Cell Tracking, particularly for severe weather events like lightning, tornadoes, and hail. It introduces a methodology designed to compute the time-rate-of-change of cell attributes through the construction of an "Interest Image," which tracks the probability of hazardous cells' presence. Utilizing multi-scale tracking techniques and fuzzy logic for image processing, this research aids in predicting the future locations and properties of severe weather cells, enhancing our capability to forecast dangerous weather conditions.
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Hazardous Cell Tracking Robert Boldi 29 September 2008 NSSTC/UAH R. Boldi NSSTC/UAH
What is Hazardous Cell Tracking? • Hazardous • Severe Lightning, Winds, Hail • Tornadoes • Cell • Compact region embedded within a larger-scale convective system • Tracking • Compute time-rate-of-change of Cell’s attributes. R. Boldi NSSTC/UAH
Methodology • Construct an “Interest Image”, each pixel of which represents the likelihood that a hazardous cell is present [ 0 .. 1 ] • Track this image using Multi-Scale XCT • Locate “Cells” by thresholding this image • Construct Lagrangian history of properties of the cells • Predict future location of cells ( and properties ) R. Boldi NSSTC/UAH
Constructing “Interest” Image • Functional Template Correlation • A template (small image), convolved against a larger input image, producing an “interest image”, each pixel of which is the probability that the feature represented by the template is present at the given pixel. • Templates map onto simple features ( lines, circular cells, low variance regions, etc. • Fuzzy Logic • Groups of “Images” are combined to produce meteorologically-understandable phenomena, e.g. Stratiform, Convective, Decaying, Growing … • These phenomena are combined to produce the final “Interest Image” R. Boldi NSSTC/UAH
Cell Detection and Tracking Lightning Cell Identification Cell-Scale Motions Interest Image Generator Multi-Scale XCT Tracker Satellite Data Storm-Scale Motions FTC WxTypes Fuzzy LogicFusion Radar Data R. Boldi NSSTC/UAH
Cell Detection and Tracking Lightning Events Interest Image 2008_04_08 @ 01:48Z Radar Data R. Boldi NSSTC/UAH
Cell Detection R. Boldi NSSTC/UAH
Multi-Scale Tracking Envelope Motion Interest Image 2008_04_08 @ 01:48Z Cell Motion R. Boldi NSSTC/UAH
Multi-Scale Tracking R. Boldi NSSTC/UAH
Cell Identification = Thresholding Interest Image Interest Image 2008_04_08 @ 01:48Z Cell ID’s 2008_04_08 @ 01:48Z R. Boldi NSSTC/UAH
Cell ID’s NOT persistent ( movie ) R. Boldi NSSTC/UAH
Lagrangian History Re-Construction ….. ….. T(-2 dt) T(- dt) Cell 1 History T(0) Multi-Scale Vectors Cell 2 History Current Cell Map T(0) Past Data Advector Cell Integrator Cell 3 History ….. ….. : T(-2 dt) T(- dt) T(0) • Input Fields • Lightning • Radar • Satellite R. Boldi NSSTC/UAH
Advector: Forward Advection of Inputs to Current Time In the absence of convergence, divergence, growth or decay, the alignment would be perfect. = Past Time Advected to Current Time Current Time Past Time R. Boldi NSSTC/UAH
Advector: Forward Advection of Inputs to Current Time R. Boldi NSSTC/UAH
Lagrangian History Re-Construction R. Boldi NSSTC/UAH
Lagrangian History Re-Construction R. Boldi NSSTC/UAH
Lagrangian History Re-Construction R. Boldi NSSTC/UAH
Cell Position Prediction ….. ….. T(-2 dt) T(- dt) Future Cell Map T(+dt) T(0) Multi-Scale Vectors Current Cell Map T(0) Advector Future Cell Map T(+2.dt) : R. Boldi NSSTC/UAH
Input Field Prediction T(-2 dt) T(- dt) Forecast Input Field T(+dt) T(0) Multi-Scale Vectors Advector Forecast Input Field T(+2.dt) Current Input Field T(0) : Trends, WxType R. Boldi NSSTC/UAH
Summary • Tracker running • Creating Histories for Lightning Jump ALG • Creating Predicted Cell Positions • Platform for Lightning Prediction Work In Progress • Obtaining proxy ABI data for : • WxType • Storm intensity image R. Boldi NSSTC/UAH
THE END R. Boldi NSSTC/UAH