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Rainstorm Assimilation Method Based on Ground Measurement Data Correction

A measurement data and ground technology, applied in the field of rainfall satellite storm assimilation based on ground measurement data correction, can solve the problems of reducing rainfall forecast value, lack of research, etc. Effect

Active Publication Date: 2017-10-13
HOHAI UNIV
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Problems solved by technology

However, existing precipitation assessments based on this product are mainly limited to the Japanese domain (Ushio et al.2009; Kubota et al.2009), and there is still a lack of detailed research in other regions
In addition, in cases with heavy rainfall, the product's technical approach reduces rainfall estimates to a greater extent than observatories in forecasting applications

Method used

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  • Rainstorm Assimilation Method Based on Ground Measurement Data Correction
  • Rainstorm Assimilation Method Based on Ground Measurement Data Correction
  • Rainstorm Assimilation Method Based on Ground Measurement Data Correction

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Embodiment Construction

[0045] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer definition of the protection scope of the present invention

[0046] Such as Figure 1 to Figure 3(c) As shown, the assimilation method of rainfall satellite torrential rain based on ground measurement data correction includes the following steps:

[0047] (1) Preprocessing: Obtain mutually independent satellite measurement data and ground rainfall station data, and compare and analyze the measurement values ​​to obtain measurement deviations.

[0048] (2) Time update: Since the Kalman filter equation is a recursive form and is only related to the relevant information at the previous moment, both the measurement value estimate and the noise error estimate are expressed as autocorrelation functions....

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Abstract

The present invention is a rainfall satellite storm assimilation method based on ground measurement data correction, comprising the following steps: preprocessing: obtaining mutually independent satellite measurement data and ground rainfall station data, and simultaneously comparing and analyzing the measurement values ​​to obtain measurement deviation; time update: Measurement value estimation and noise error estimation are all expressed as autocorrelation function; Measurement update: assimilate measurement deviation estimation value and noise error variance estimation value by Kalman filter method; The present invention not only corrects systematic error, eliminates Part of the noise is affected, and more accurate predictions can be made in heavy rainfall climates, which further improves the reliability of rainfall estimates.

Description

technical field [0001] The invention belongs to the technical field of rainfall estimation, in particular to a method for assimilating rainfall satellite storms based on ground measurement data correction. Background technique [0002] Precipitation is an important part of the earth's water cycle system. The change of precipitation plays a very important role in establishing a water cycle model, maintaining the stability of the ecological environment, agricultural production, and flood warning and prediction. Accurately measuring precipitation and its regional and global distribution has long been a challenging scientific research goal. [0003] Traditional rainfall stations and weather radar systems are a way to directly obtain rainfall data, but due to the inhomogeneity of rainfall in time and space and the limited distribution of measurement stations, it is difficult to obtain large-scale and global rainfall distribution, Especially for remote areas, basins, and areas wi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10
Inventor 陈嘉琪林佳楠雍斌陈波平学伟
Owner HOHAI UNIV
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