Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Wei, Linyong LU ; Jiang, Shanhu ; Ren, Liliang ; Yuan, Shanshui ; Liu, Yi ; Yang, Xiaoli ; Wang, Menghao ; Zhang, Linqi ; Yu, Huafei LU and Duan, Zheng LU (2023) In Geophysical Research Letters 50(24).
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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
correlation, ETCC, merged product, precipitation, reference data set, triple collocation
in
Geophysical Research Letters
volume
50
issue
24
article number
e2023GL105120
publisher
American Geophysical Union (AGU)
external identifiers
  • scopus:85180149674
ISSN
0094-8276
DOI
10.1029/2023GL105120
language
English
LU publication?
yes
id
fc132193-8343-4540-8f6a-7f160a0b93c0
date added to LUP
2024-01-02 15:03:54
date last changed
2024-01-02 15:05:57
@article{fc132193-8343-4540-8f6a-7f160a0b93c0,
  abstract     = {{<p>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.</p>}},
  author       = {{Wei, Linyong and Jiang, Shanhu and Ren, Liliang and Yuan, Shanshui and Liu, Yi and Yang, Xiaoli and Wang, Menghao and Zhang, Linqi and Yu, Huafei and Duan, Zheng}},
  issn         = {{0094-8276}},
  keywords     = {{correlation; ETCC; merged product; precipitation; reference data set; triple collocation}},
  language     = {{eng}},
  number       = {{24}},
  publisher    = {{American Geophysical Union (AGU)}},
  series       = {{Geophysical Research Letters}},
  title        = {{An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion}},
  url          = {{http://dx.doi.org/10.1029/2023GL105120}},
  doi          = {{10.1029/2023GL105120}},
  volume       = {{50}},
  year         = {{2023}},
}