Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture
Soil moisture (SM) is a vital variable controlling water and energy exchange between the atmosphere and land surface. Spatiotemporally continuous SM information is urgently needed for large-scale meteorological and hydrological applications. Considering the weakness of the penalized least square reg...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2022-09-01
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| Series: | Hydrology Research |
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| Online Access: | http://hr.iwaponline.com/content/53/9/1221 |
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| author | Xiaomeng Guo Xiuqin Fang Yu Cao Lulu Yang Liliang Ren Yuehong Chen Xiaoxiang Zhang |
| author_facet | Xiaomeng Guo Xiuqin Fang Yu Cao Lulu Yang Liliang Ren Yuehong Chen Xiaoxiang Zhang |
| author_sort | Xiaomeng Guo |
| collection | DOAJ |
| description | Soil moisture (SM) is a vital variable controlling water and energy exchange between the atmosphere and land surface. Spatiotemporally continuous SM information is urgently needed for large-scale meteorological and hydrological applications. Considering the weakness of the penalized least square regression based on the discrete cosine transform (DCT-PLS) method when the missing data are not evenly distributed in the original data set, this study proposes an in situ observation-combined DCT-PLS (ODCT-PLS) to reconstruct missing values of daily surface SM from the Climate Change Initiative program of the European Space Agency (ESA CCI). The result of the reconstruction for ESA CCI SM data in the Xiliaohe River Basin from 2013 to 2020 showed that the SM reconstructed by ODCT-PLS was in better agreement with in situ soil moisture compared with that reconstructed by DCT-PLS, with the average correlation coefficient (CORR) increasing by 0.3636, the average root mean squared error (RMSE) decreasing by 0.0109 m3/m3 and the average BIAS decreasing by 0.0047 m3/m3. Compared with the original ESA CCI SM, DCT-PLS and ODCT-PLS can both restore the spatial variation of SM in the study area. The reconstruction method proposed in our study provides a valuable alternative to reconstruct the three-dimensional geophysical dataset with spatially or temporally continuous data gap.
HIGHLIGHTS
This paper proposed a new reconstruction method based on the measured observation data and the DCT-PLS method.;
This paper utilized the measured observation data by using the CDF matching method.;
The new method this paper proposed can be applied to reconstruct three-dimensional geophysical datasets whose data gaps are spatial-temporally continuous.; |
| first_indexed | 2024-04-11T10:03:51Z |
| format | Article |
| id | doaj.art-4dcad541d3ba4ed49779c5edbf2a52e6 |
| institution | Directory Open Access Journal |
| issn | 1998-9563 2224-7955 |
| language | English |
| last_indexed | 2024-04-11T10:03:51Z |
| publishDate | 2022-09-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Hydrology Research |
| spelling | doaj.art-4dcad541d3ba4ed49779c5edbf2a52e62022-12-22T04:30:17ZengIWA PublishingHydrology Research1998-95632224-79552022-09-015391221123610.2166/nh.2022.058058Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moistureXiaomeng Guo0Xiuqin Fang1Yu Cao2Lulu Yang3Liliang Ren4Yuehong Chen5Xiaoxiang Zhang6 College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China Soil moisture (SM) is a vital variable controlling water and energy exchange between the atmosphere and land surface. Spatiotemporally continuous SM information is urgently needed for large-scale meteorological and hydrological applications. Considering the weakness of the penalized least square regression based on the discrete cosine transform (DCT-PLS) method when the missing data are not evenly distributed in the original data set, this study proposes an in situ observation-combined DCT-PLS (ODCT-PLS) to reconstruct missing values of daily surface SM from the Climate Change Initiative program of the European Space Agency (ESA CCI). The result of the reconstruction for ESA CCI SM data in the Xiliaohe River Basin from 2013 to 2020 showed that the SM reconstructed by ODCT-PLS was in better agreement with in situ soil moisture compared with that reconstructed by DCT-PLS, with the average correlation coefficient (CORR) increasing by 0.3636, the average root mean squared error (RMSE) decreasing by 0.0109 m3/m3 and the average BIAS decreasing by 0.0047 m3/m3. Compared with the original ESA CCI SM, DCT-PLS and ODCT-PLS can both restore the spatial variation of SM in the study area. The reconstruction method proposed in our study provides a valuable alternative to reconstruct the three-dimensional geophysical dataset with spatially or temporally continuous data gap. HIGHLIGHTS This paper proposed a new reconstruction method based on the measured observation data and the DCT-PLS method.; This paper utilized the measured observation data by using the CDF matching method.; The new method this paper proposed can be applied to reconstruct three-dimensional geophysical datasets whose data gaps are spatial-temporally continuous.;http://hr.iwaponline.com/content/53/9/1221bias correctiondct-plsesa cciodct-plsreconstructionsoil moisture |
| spellingShingle | Xiaomeng Guo Xiuqin Fang Yu Cao Lulu Yang Liliang Ren Yuehong Chen Xiaoxiang Zhang Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture Hydrology Research bias correction dct-pls esa cci odct-pls reconstruction soil moisture |
| title | Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture |
| title_full | Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture |
| title_fullStr | Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture |
| title_full_unstemmed | Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture |
| title_short | Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture |
| title_sort | reconstruction of esa cci soil moisture based on dct pls and in situ soil moisture |
| topic | bias correction dct-pls esa cci odct-pls reconstruction soil moisture |
| url | http://hr.iwaponline.com/content/53/9/1221 |
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