Method for extracting quasi-biweekly oscillation real-time index based on EEOF

An extraction method and index technology, applied in the field of atmospheric science, can solve the problems of underestimating 10-30-day convective signals, and the ability to monitor extreme weather needs to be improved, so as to achieve a good monitoring effect.

Active Publication Date: 2018-12-07
NANJING UNIV OF INFORMATION SCI & TECH
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[0004] It can also be found from the follow-up analysis that the current two QBWO real-time indices based on multivariate EOF often underestimate

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  • Method for extracting quasi-biweekly oscillation real-time index based on EEOF
  • Method for extracting quasi-biweekly oscillation real-time index based on EEOF
  • Method for extracting quasi-biweekly oscillation real-time index based on EEOF

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[0015] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0016] Although the steps in the present invention are arranged with labels, they are not used to limit the order of the steps. Unless the order of the steps is clearly stated or the execution of a step requires other steps as a basis, the relative order of the steps can be adjusted. It can be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0017] As one of the most important components of intraseasonal oscillations, QBWO is mainly active in the Northwest Pacific, Indian Ocean, South P...

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Abstract

The invention provides a method for extracting a quasi-biweekly oscillation real-time index based on an EEOF. The method comprises the steps of (1) performing EEOF analysis on an OLR anomaly field ofbandpass filtering in set time periods of -a, -b and 0 day delays in a data sequence of a monsoon region to obtain two EEOF modes, wherein a is larger than b, and both a and b are positive integers, (2) projecting an OLR anomaly field of no bandpass filtering in set time periods including -a, -b and 0 days to the two above EEOF modes to obtain a projection result of each day, and standardizing theprojection result of each with a standard deviation in a period of time in the data sequence to obtain the quasi-biweekly oscillation real-time index. The method for extracting a quasi-biweekly oscillation real-time index has the advantages that the spread characteristics of QBWO convection current in the northwest and north directions on the northwestern Pacific Ocean and the Indian Ocean can beeffectively captured.

Description

Technical field [0001] The invention belongs to the field of atmospheric science and technology, and specifically relates to an extraction method based on the EEOF quasi-bicyclic oscillation real-time index. Background technique [0002] Quasi-biweekly oscillation (QBWO), as one of the most important components of intraseasonal oscillation (ISO), has a very important influence on the weather and climate system in the East Asian summer monsoon region. At present, there are mainly two real-time indexes of QBWO for East Asian monsoon regions at home and abroad: Lee et al. (2013) proposed a real-time index for the boreal summer ISO (BSISO) in the northern hemisphere. They conducted an empirical orthogonal analysis of the outgoing longwave radiation (OLR) and the low-level wind field anomalies in the East Asian summer monsoon region (40°–160°E, 10°S–40°N). function,EOF), the first two EOF modes mainly represent the BSISO signal propagating east / northeast for 30-60 days, and the third...

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Application Information

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IPC IPC(8): G01W1/00
CPCG01W1/00Y02A90/10
Inventor 徐邦琪钱伊恬菊地一佳
Owner NANJING UNIV OF INFORMATION SCI & TECH
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