An Extended Triple Collocation Method With Maximized Correlation for Near Global-Land Precipitation Fusion
(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.
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- author
- Wei, Linyong LU ; Jiang, Shanhu ; Ren, Liliang ; Yuan, Shanshui ; Liu, Yi ; Yang, Xiaoli ; Wang, Menghao ; Zhang, Linqi ; Yu, Huafei LU and Duan, Zheng LU
- organization
- publishing date
- 2023-12
- 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}}, }