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North Pacific Ocean sea surface salinity inter-year modal identification method and system

A modal identification and salinity technology, applied in ICT adaptation, design optimization/simulation, computer-aided design, etc. Effect

Active Publication Date: 2022-05-10
中国人民解放军61540部队
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, there is no quantitative research method on how to identify dipoles and monopoles in NPSDV in different modes

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  • North Pacific Ocean sea surface salinity inter-year modal identification method and system
  • North Pacific Ocean sea surface salinity inter-year modal identification method and system
  • North Pacific Ocean sea surface salinity inter-year modal identification method and system

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Embodiment Construction

[0078] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0079] The purpose of the present invention is to provide a North Pacific sea surface salinity interdecadal modal recognition method and system, which improves the robustness of modal recognition.

[0080] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0081] figure...

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Abstract

The invention relates to a North Pacific Ocean sea surface salinity interannual modal identification method and system. The method comprises the following steps: acquiring CMIP6 climate mode data of a plurality of modes; obtaining an ORAS4 reanalysis data set of the European mid-term weather forecast center as comparison reference data; two empirical orthogonal function modes EOF1 and EOF2 of the NPSDV are calculated by comparing reference data, the EOF1 is a dipole mode, and the EOF2 is a monopole mode; two empirical orthogonal function modes EOF1'and EOF2 'of the NPSDV are calculated through the CMIP6 climate mode data of all modes, and the modes of the EOF1' and the EOF2 'are recognized according to the space correlation coefficient of the EOF1 and the EOF1', the space correlation coefficient R12 of the EOF1 and the EOF2 ', the space correlation coefficient R21 of the EOF2 and the EOF1' and the space correlation coefficient R22 of the EOF2 and the EOF2 '.

Description

technical field [0001] The invention relates to the technical field of marine data observation, in particular to a method and system for identifying an interdecadal mode of sea surface salinity in the North Pacific Ocean. Background technique [0002] Understanding low-frequency changes in salinity and their underlying mechanisms is critical because of their profound effects on global and regional ocean circulation, as well as Earth's climate and ecosystems. In the upper ocean, interannual to decadal variations in sea surface salinity (SSS) reflect long-term large-scale balances between surface freshwater fluxes (FWF) and ocean advection or mixing processes. [0003] Thanks to the accumulation of Argo buoys over the past 20 years, salinity observations have become increasingly sufficient to study SSS variations on interannual or shorter timescales over most parts of the global upper ocean. In the tropical Pacific, these observations contribute to the study of SSS modes asso...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F17/18G06F17/15G06F119/08
CPCG06F30/20G06F17/18G06F17/15G06F2119/08Y02A90/10
Inventor 陈建姜祝辉宿兴涛沈晓晶
Owner 中国人民解放军61540部队
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