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

Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI

A technology of meteorological satellites and daytime clouds, applied in the field of meteorological analysis, can solve the problems of unrecognizable, limited range of product use, undecidable, etc., and achieve the effect of improving the accuracy of judgment

Pending Publication Date: 2022-04-15
NAT SATELLITE METEOROLOGICAL CENT
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, this identification method cannot effectively identify ice-water mixed-phase clouds and water clouds with low temperatures, so there are a large number of undeterminable pixels in the output results of the product, which greatly limits the usable range of the product

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
  • Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI
  • Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI
  • Daytime cloud phase inversion method based on polar orbit meteorological satellite MERSI

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be described in connection with the accompanying drawings, in order to understand the present invention.

[0033] The radiation properties of the cloud can be described in its geometric characteristics and single scattering properties. Refractive index (m = m) with single scattering characteristics r -M i ), Particle size distribution and parameters such as particle shapes. Among them, the refractive index is real (M r) Indicates that the particle scattering radiation capacity, the larger the real number, the stronger the scattering radiation; the imaginary portion (M i ) Represent particles absorb radiation capacity, the larger the absolute value of the imaginary portion, the stronger the absorption of radiation. When the wavelength is between 0.2 ~ 1.0μm, whether it is water or ice, the refractive index is less than 10 -6 The absorption of radiation is very small; when the wave length is more than 1.0 μm, the imaginary portion of the water and i...

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 relates to the field of meteorological analysis, discloses a daytime cloud phase inversion method based on a polar orbit meteorological satellite MERSI, and develops a daytime cloud phase identification product by utilizing radiation observation of a medium resolution spectral imager MERSI of a second generation polar orbit meteorological satellite FY-3D in China. Based on MERIS L1 data of radiometric calibration and geographic positioning and a cloud detection product, in combination with earth surface type data, by utilizing spectrum and texture characteristics of visible light, infrared and near-infrared channels and by utilizing different thermodynamic phase states of cloud top particles, cloud phase state identification is carried out on cloud pixels by adopting a threshold value method, and a cloud phase state product with the resolution of 1 km is obtained. By implementing the method, the identification precision of the cloud phase state can be effectively improved, and particularly, the mixed cloud phase state can be effectively identified.

Description

Technical field [0001] The present invention relates to the field of meteorological analysis, and more particularly to a day cloud phase inversion method based on extreme rail meteorological satellite MERSI. Background technique [0002] The cloud balance of radiation balance, heat balance, and humidity distribution of the geotextile system have a significant impact, participating in a variety of positive and negative feedback processes, and is the internal parameters of the climate system. Most of the cloud reflections, high clouds prevent long wave radiation from being shot to space. The correct detection, identification, and application of different cloud classes can be used more reasonably in climate research. Clouds and weather have close relationships. Different cloud penetions reflect different atmospheres, so the correct classification of clouds help improve weather forecasting accuracy. Accurate cloud penetration detection is very important. Water cloud and ice cloud hav...

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): G01N21/25G01N21/3504G01N21/3577G01N21/359G01N21/47G01N25/00G06V20/00
CPCG01N21/25G01N21/3504G01N21/3577G01N21/359G01N21/4738G01N25/00
Inventor 李博刘瑞霞唐世浩徐娜张淼
Owner NAT SATELLITE METEOROLOGICAL CENT
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com