Rainfall, snowfall forecast apparatus and method

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395931, G06F 1554

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active

054064813

ABSTRACT:
An apparatus is presented for providing a short time range forecast with relative high accuracy from weather radar images of cloud reflection data by incorporating physical properties of cloud in the forecasting method. The method consists of defining a plurality of lattice points on a radar image, and multiplying the reflection data from a group of neighboring lattice points obtained at a specific past point in time with selected coefficients. The products of multiplication are summed, and transformed into image data by specific function based on the properties relating to cloud. Squared errors of the difference between the computational reflection data and the observed reflection data are iterated to a value below a predetermined threshold value to select the coefficients, and these coefficients are used to provide forecasting of reflection data at a specific future point in time.

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patent: 5208587 (1993-05-01), Cornman
"Application of Grossberg and Mingolla Neural Vision Model to Satellite Weather Imagery", INNC 90 Paris Jul. 9-13, 1990, pp. 805-808.
"Experiments for a Very-short-range Prediction of Snowfall Using a Simple Weather Radar System, Part 1-Outline and Possibility-", Geophysical Bulletin of Hokkaido University, Sapporo, Japan, vol. 44, Oct. 1984, pp. 35-51.
"Experiments for a Very-short-range Prediction of Snowfall Using a Simple Weather Radar System, Part 2-Examples of Actual Prediction-", Geophysical Bulletin of Hokkaido University, Sapporo, Japan, Oct. 1984, pp. 53-65.
"A Method for Estimating the Advection Velocity of Radar Echoes Using a Simple Weather Radar System", Geophysical Bulletin of Hokkaido University, Sapporo, Japan, vol. 44, Oct. 1984, pp. 23-34.
A Weather Radar Image Prediction Method in Local Parallel Computation, Shinozawa et al., ICNN '94, pp. 1-6.

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