Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products
Earth surface longwave radiation (SLR), including downward (DLR), upward (ULR), and net longwave radiation (NLR), significantly impacts the surface radiation budget and global climate evolution. However, the spatiotemporal variation in SLR remains poorly understood. In this study, three satellite pr...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | http://dx.doi.org/10.1080/17538947.2023.2239795 |
| _version_ | 1797678456684675072 |
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| author | Jianglei Xu Shunlin Liang Tao He Han Ma Yufang Zhang Guodong Zhang Hui Liang |
| author_facet | Jianglei Xu Shunlin Liang Tao He Han Ma Yufang Zhang Guodong Zhang Hui Liang |
| author_sort | Jianglei Xu |
| collection | DOAJ |
| description | Earth surface longwave radiation (SLR), including downward (DLR), upward (ULR), and net longwave radiation (NLR), significantly impacts the surface radiation budget and global climate evolution. However, the spatiotemporal variation in SLR remains poorly understood. In this study, three satellite products (GLASS-MODIS V40, GLASS-AVHRR, and CERES-SYN) and three reanalysis datasets (ERA5, MERRA-2, and GLDAS) were validated using ground measurements from 288 sites at seven observation networks. The mean biases and root mean square errors of the monthly DLR (ULR, NLR) estimates from the six products were −6.36 (−3.56, −2.86) Wm-2 and 16.63 (14.33, 13.38) Wm-2, respectively. Large differences in the spatial distribution of the SLR were mainly observed at high-latitude, high-altitude and desert/barren-covered regions. Large interannual variability was detected at high latitudes. GLASS-AVHRR and ERA5 better captured the long-term variability in DLR and ULR, whereas GLASS-AVHRR and MERRA-2 better detected trends in NLR. An increasing trend in DLR and ULR was observed between 1982 and 2015, followed by a decreasing trend from 2016 to 2021; the NLR flux did not exhibit a significant trend. Overall, the GLASS-AVHRR and ERA5 SLR estimates were more accurate and stable than those of the other products in accuracy, spatiotemporal distribution, and trend analysis. |
| first_indexed | 2024-03-11T23:00:03Z |
| format | Article |
| id | doaj.art-e86fd436ce554f05a6fef813cd494065 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:00:03Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-e86fd436ce554f05a6fef813cd4940652023-09-21T15:09:03ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552023-12-011612912294010.1080/17538947.2023.22397952239795Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis productsJianglei Xu0Shunlin Liang1Tao He2Han Ma3Yufang Zhang4Guodong Zhang5Hui Liang6Wuhan UniversityUniversity of Hong KongWuhan UniversityUniversity of Hong KongWuhan UniversityWuhan UniversityWuhan UniversityEarth surface longwave radiation (SLR), including downward (DLR), upward (ULR), and net longwave radiation (NLR), significantly impacts the surface radiation budget and global climate evolution. However, the spatiotemporal variation in SLR remains poorly understood. In this study, three satellite products (GLASS-MODIS V40, GLASS-AVHRR, and CERES-SYN) and three reanalysis datasets (ERA5, MERRA-2, and GLDAS) were validated using ground measurements from 288 sites at seven observation networks. The mean biases and root mean square errors of the monthly DLR (ULR, NLR) estimates from the six products were −6.36 (−3.56, −2.86) Wm-2 and 16.63 (14.33, 13.38) Wm-2, respectively. Large differences in the spatial distribution of the SLR were mainly observed at high-latitude, high-altitude and desert/barren-covered regions. Large interannual variability was detected at high latitudes. GLASS-AVHRR and ERA5 better captured the long-term variability in DLR and ULR, whereas GLASS-AVHRR and MERRA-2 better detected trends in NLR. An increasing trend in DLR and ULR was observed between 1982 and 2015, followed by a decreasing trend from 2016 to 2021; the NLR flux did not exhibit a significant trend. Overall, the GLASS-AVHRR and ERA5 SLR estimates were more accurate and stable than those of the other products in accuracy, spatiotemporal distribution, and trend analysis.http://dx.doi.org/10.1080/17538947.2023.2239795surface longwave radiationsatellite remote sensingspatiotemporal distributionsannual mean valuelong-term variability |
| spellingShingle | Jianglei Xu Shunlin Liang Tao He Han Ma Yufang Zhang Guodong Zhang Hui Liang Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products International Journal of Digital Earth surface longwave radiation satellite remote sensing spatiotemporal distributions annual mean value long-term variability |
| title | Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products |
| title_full | Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products |
| title_fullStr | Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products |
| title_full_unstemmed | Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products |
| title_short | Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products |
| title_sort | variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products |
| topic | surface longwave radiation satellite remote sensing spatiotemporal distributions annual mean value long-term variability |
| url | http://dx.doi.org/10.1080/17538947.2023.2239795 |
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