Method for calibrating daily precipitation forecast by using bernoulli-Gamma-Gaussian distribution

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United States of America Patent

PATENT NO 12105250
APP PUB NO 20230152488A1
SERIAL NO

17793050

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Abstract

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The present disclosure provides a method for calibrating daily precipitation forecast by using a Bernoulli-Gamma-Gaussian distribution, including the following steps: acquiring daily raw forecast data and observed data; using a Bernoulli distribution to perform precipitation occurrence analysis; using a Gamma distribution to perform precipitation amount analysis on the data that precipitation occurs; using a Gaussian distribution to perform normal transformation on the raw forecast data and the observed data according to the analysis results of the Bernoulli distribution and the Gamma distribution, and obtaining corresponding normalized variables; constructing a bivariate joint normal distribution; constructing a conditional probability distribution of a predictand; and determining whether a forecast to be calibrated is that a precipitation event occurs, determining a conditional probability distribution parameter of the predictand, then randomly sampling the conditional probability distribution of the predictand, and finally obtaining the calibrated forecast by means of inverse normal quantile transform.

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Patent Owner(s)

Patent OwnerAddress
SUN YAT-SEN UNIVERSITY510275 NO 135 WEST XINGANG ROAD GUANGZHOU GUANGDONG HAIZHUQU DISTRICT GUANGZHOU CITY GUANGDONG PROVINCE 510275

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  • 2021 Application Filing Year
  • G06F Class
  • 56368 Applications Filed
  • 36608 Patents Issued To-Date
  • 64.95 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances202120222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Huang, Zeqing Guangdong, CN 2 0
Zhao, Tongtiegang Guangdong, CN 6 0

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Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges68422388075101 - 1011 - 2021 - 3031 - 40050001000015000200002500030000350004000045000500005500060000650007000075000

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