Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method of identifying warm cloud precipitation rate based on Doppler radar information

A technology of Doppler radar and precipitation rate, which is applied in the field of meteorological information processing and estimation, can solve problems such as differences and improper use of Z-I relationship, and achieve the effect of reducing estimation errors and property losses

Inactive Publication Date: 2016-08-24
LANZHOU UNIVERSITY
View PDF1 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the rainfall calculated using the Z-I relationship is quite different from the actual surface rainfall, which is mainly caused by the improper use of the Z-I relationship.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method of identifying warm cloud precipitation rate based on Doppler radar information
  • Method of identifying warm cloud precipitation rate based on Doppler radar information
  • Method of identifying warm cloud precipitation rate based on Doppler radar information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0092] see figure 2 , 3 , in order to obtain a more accurate conclusion, the present invention counts the radar quantitatively estimated precipitation in Hefei from June to August in 2010, and evaluates the effect of each experiment through error analysis.

[0093] The radar data used in the present invention is obtained from the volume scan data of Hefei Doppler radar every 6 minutes from June to August 2010, and the observed precipitation data is obtained from the encrypted rainfall station in Anhui Province. The 0°C isotherm height h_0°C and the surface wet-bulb temperature are simulated by model WRF3.5.1. The initial boundary data are FNL data from June to August 2013, and the horizontal resolution is 1°×1°.

[0094] The radar quantitatively estimates the precipitation area from 115.758°E to 118.758°E and 30.367°N to 33.367°N, with 301×301 grid points in the horizontal direction and a grid spacing of 0.01° at the same longitude and latitude, and 73 floors in the vertical...

Embodiment 2

[0117]The method proposed in this chapter to divide precipitation into three types: warm cloud, stratiform cloud and convective cloud precipitation, what is the effect of radar quantitative estimation of precipitation when the precipitation area and precipitation time change? For this reason, this section selects two additional precipitation cases, and selects the heavy precipitation process in Anhui Province from July 21 to 23, 2009 to test the quantitative estimation of precipitation effects of the same radar in different periods; selects June 11 to 13, 2008 The process of heavy precipitation in Liuzhou, Guangxi tested the quantitative estimation of precipitation effect of different radars in different time periods.

[0118] The Liuzhou radar data is obtained from the Liuzhou Doppler radar volume scan data every 6 minutes, the radar model CINRAD / SB, the position (109.456°E, 24.357°N, 346.8m), 360° omnidirectional scanning, the interval is 1°, The scanning elevation angles ar...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method of identifying a warm cloud precipitation rate based on Doppler radar information. The method is characterized in that a radar echo intensity ref vertical profile VPR identification module is used to identify a warm cloud; a warm cloud identification module is used to establish a polar coordinate in a cache region according to the radar echo intensity, and is used to identify the precipitation rate of the warm cloud of the stratus cloud and the precipitation rate of the warm cloud of the convection cloud according to the ref interpolation and the wet bulb temperature; a processing module is used to calculate the precipitation rate. The method is advantageous in that the precipitation estimation error can be reduced effectively, the scientific concrete calculation method is provided, the high-quality data is provided, and the property loss of the people can be effectively reduced.

Description

technical field [0001] The invention relates to a method for processing and estimating meteorological information, in particular to a method for identifying stratiform clouds, convective clouds and warm cloud precipitation based on Doppler radar information. Background technique [0002] The detection of precipitation rate (I) (rain, unit millimeter per hour) plays a very important role in early warning of meteorological, hydrological and geological disasters; in addition, the assimilation of precipitation rate data into numerical weather prediction can greatly improve numerical weather prediction the accuracy rate. [0003] At present, the method of using radar reflectivity to estimate precipitation rate in business is to directly use the radar echo reflectivity factor (Z, unit mm 6 / m 3 ) and the precipitation rate (I, in mm / h), there is a power exponent positive correlation empirical relationship (Z-I relationship), that is, the Z-I relationship is Z=300I 1.4 . Howeve...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/95G01S7/41
CPCG01S7/418G01S13/958Y02A90/10
Inventor 杨毅杨丽丽戚友存邱晓滨
Owner LANZHOU UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products