Method for analyzing correlativity between ENSO index and rainfall based on factorial design

A correlation and factorial design technology, applied in the field of climate teleconnection, can solve problems such as the uncertainty of rainfall relationship, and achieve the effect of solving the significance

Pending Publication Date: 2021-11-23
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

In short, there is uncertainty about the relationship

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  • Method for analyzing correlativity between ENSO index and rainfall based on factorial design
  • Method for analyzing correlativity between ENSO index and rainfall based on factorial design
  • Method for analyzing correlativity between ENSO index and rainfall based on factorial design

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[0055] The present invention proposes a method for analyzing the correlation between ENSO index and precipitation based on factorial design, and the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0056] figure 1 Method framework for analyzing the relationship between ENSO and precipitation based on factorial design; figure 2 The flow chart of the method for analyzing the correlation between ENSO index and precipitation is as follows:

[0057] (1) Data collection mainly includes two aspects, ENSO index data and precipitation data in the study area. The ENSO index includes: four NINO regions (the NINO1+2 region is 0°-10°S, 90°W-80°W, the NINO3 region is 5°N-5°S, 150°W-90°W, and the NINO4 Sea surface temperature SST and its abnormal value SST in the area of ​​5°N-5°S, 160°E-150°W, NINO3.4 area of ​​5°N-5°S, 170°W-120°W anom , Oceanic Nino Index (ONI, refers to the anomalous value of sea surface tempe...

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Abstract

The invention discloses a method for analyzing correlativity between an ENSO index and rainfall based on factorial design, and belongs to the technical field of climate remote correlation. The method comprises the following steps: 1, collecting an ENSO index and rainfall data of a research area; 2, processing rainfall data of the research area into a monthly mean value, a monthly extreme value and a monthly abnormal value rainfall matrix along a time sequence and a spatial position; 3, calculating the influence of each factor and the interaction between the factors on the response variable, screening out the factor with the maximum influence and the factor level, and determining a factor combination with the most significant correlation between the ENSO index and the rainfall index of the specific region; 4, arranging the ENSO indexes into a matrix which is in one-to-one correspondence with the precipitation index time sequence and is 1-1 month earlier than the precipitation indexes; and 5, checking the correlation through a t-test formula. According to the method, the problem of uncertainty between the ENSO index and the rainfall correlativity of different regions is solved; and the influence of interaction between different factors on the correlativity can be analyzed.

Description

technical field [0001] The invention relates to the technical field of climate teleconnection, in particular to a method for analyzing the correlation relationship between ENSO index and precipitation based on factorial design. Background technique [0002] The El Niño-Southern Oscillation (ENSO) phenomenon mainly refers to the abnormal change of sea surface temperature in the Pacific Ocean near the equator. When the sea surface temperature increases abnormally, it is called El Niño phenomenon, and when the sea surface temperature decreases abnormally, it is called La Niña phenomenon. Due to the anomalous sea temperature and the change of air pressure on the sea surface, ENSO affects the Walker Circulation, not only directly affects the rainfall in the Pacific region, but also indirectly affects the global region through teleconnection. For example, in El Niño years (such as 1997-1998), summer rainstorms frequently occur in southern my country, causing severe floods. On the ...

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Application Information

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IPC IPC(8): G06F30/20G06Q10/06G06Q50/26G06F113/08
CPCG06F30/20G06Q10/06393G06Q50/26G06F2113/08Y02A90/10
Inventor 张重黄国和鲁晨王丝雨田初引林夏婧宋唐女
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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