An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion

Linyong Wei; Shanhu Jiang; Liliang Ren; Shanshui Yuan; Yi Liu; Xiaoli Yang; Menghao Wang; Linqi Zhang; Huafei Yu; Zheng Duan

doi:10.1029/2023GL105120

An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion

Linyong Wei, Shanhu Jiang, Liliang Ren, Shanshui Yuan, Yi Liu, Xiaoli Yang, Menghao Wang, Linqi Zhang, Huafei Yu, Zheng Duan

Research output: Contribution to journal › Article › peer-review

Abstract

An Extended Triple Collocation for maximized Correlation (ETCC) method was proposed with a unique correlation function, the purpose of which is to maximize the correlation between the merged product and unknown truth. The method was tested over quasi-global land by combining three independent precipitation products. The performance of the ETCC-merged product was then evaluated against three reference data sets and compared with the existing Triple Collocation (TC) merging. The merged product was found to be generally superior to each contributor. Moreover, the ETCC method is better able to improve the correlation of merged product compared with the TC approach. Other improvements are also shown in the absolute difference of the ETCC-merged product, such as regional validation for central North America and mainland China. These demonstrate the effectiveness of the ETCC method, and accordingly, it can provide a promising solution for maximizing the correlation of merged product without the truth.

Original language	English
Article number	e2023GL105120
Journal	Geophysical Research Letters
Volume	50
Issue number	24
DOIs	https://doi.org/10.1029/2023GL105120
Publication status	Published - 2023 Dec

Subject classification (UKÄ)

Mechanical Engineering

Free keywords

correlation
ETCC
merged product
precipitation
reference data set
triple collocation

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10.1029/2023GL105120

Cite this

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title = "An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion",

abstract = "An Extended Triple Collocation for maximized Correlation (ETCC) method was proposed with a unique correlation function, the purpose of which is to maximize the correlation between the merged product and unknown truth. The method was tested over quasi-global land by combining three independent precipitation products. The performance of the ETCC-merged product was then evaluated against three reference data sets and compared with the existing Triple Collocation (TC) merging. The merged product was found to be generally superior to each contributor. Moreover, the ETCC method is better able to improve the correlation of merged product compared with the TC approach. Other improvements are also shown in the absolute difference of the ETCC-merged product, such as regional validation for central North America and mainland China. These demonstrate the effectiveness of the ETCC method, and accordingly, it can provide a promising solution for maximizing the correlation of merged product without the truth.",

keywords = "correlation, ETCC, merged product, precipitation, reference data set, triple collocation",

author = "Linyong Wei and Shanhu Jiang and Liliang Ren and Shanshui Yuan and Yi Liu and Xiaoli Yang and Menghao Wang and Linqi Zhang and Huafei Yu and Zheng Duan",

year = "2023",

month = dec,

doi = "10.1029/2023GL105120",

language = "English",

volume = "50",

journal = "Geophysical Research Letters",

issn = "0094-8276",

publisher = "American Geophysical Union (AGU)",

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T1 - An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion

AU - Wei, Linyong

AU - Jiang, Shanhu

AU - Ren, Liliang

AU - Yuan, Shanshui

AU - Liu, Yi

AU - Yang, Xiaoli

AU - Wang, Menghao

AU - Zhang, Linqi

AU - Yu, Huafei

AU - Duan, Zheng

PY - 2023/12

Y1 - 2023/12

N2 - An Extended Triple Collocation for maximized Correlation (ETCC) method was proposed with a unique correlation function, the purpose of which is to maximize the correlation between the merged product and unknown truth. The method was tested over quasi-global land by combining three independent precipitation products. The performance of the ETCC-merged product was then evaluated against three reference data sets and compared with the existing Triple Collocation (TC) merging. The merged product was found to be generally superior to each contributor. Moreover, the ETCC method is better able to improve the correlation of merged product compared with the TC approach. Other improvements are also shown in the absolute difference of the ETCC-merged product, such as regional validation for central North America and mainland China. These demonstrate the effectiveness of the ETCC method, and accordingly, it can provide a promising solution for maximizing the correlation of merged product without the truth.

AB - An Extended Triple Collocation for maximized Correlation (ETCC) method was proposed with a unique correlation function, the purpose of which is to maximize the correlation between the merged product and unknown truth. The method was tested over quasi-global land by combining three independent precipitation products. The performance of the ETCC-merged product was then evaluated against three reference data sets and compared with the existing Triple Collocation (TC) merging. The merged product was found to be generally superior to each contributor. Moreover, the ETCC method is better able to improve the correlation of merged product compared with the TC approach. Other improvements are also shown in the absolute difference of the ETCC-merged product, such as regional validation for central North America and mainland China. These demonstrate the effectiveness of the ETCC method, and accordingly, it can provide a promising solution for maximizing the correlation of merged product without the truth.

KW - correlation

KW - ETCC

KW - merged product

KW - precipitation

KW - reference data set

KW - triple collocation

U2 - 10.1029/2023GL105120

DO - 10.1029/2023GL105120

M3 - Article

AN - SCOPUS:85180149674

SN - 0094-8276

VL - 50

JO - Geophysical Research Letters

JF - Geophysical Research Letters

IS - 24

M1 - e2023GL105120

ER -

An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion

Abstract

Subject classification (UKÄ)

Free keywords

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