On the attribution of changing water surface evaporation across China
Study region: China Study focus: Water evaporation represents a pivotal indicator of the terrestrial ecosystem and hydrological cycle, influencing regional water and energy balance to some extent. In this study, the long-term data series of water surface evaporation (Ep) were assimilated across Chin...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-04-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581822000040 |
| _version_ | 1818338746600259584 |
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| author | Xiaoxiang Guan Cuishan Liu Jianyun Zhang Guoqing Wang Zhenxin Bao Junliang Jin |
| author_facet | Xiaoxiang Guan Cuishan Liu Jianyun Zhang Guoqing Wang Zhenxin Bao Junliang Jin |
| author_sort | Xiaoxiang Guan |
| collection | DOAJ |
| description | Study region: China Study focus: Water evaporation represents a pivotal indicator of the terrestrial ecosystem and hydrological cycle, influencing regional water and energy balance to some extent. In this study, the long-term data series of water surface evaporation (Ep) were assimilated across China, with the observations from 552 national benchmark weather stations. The trends of Ep and the influential climate variables were well detected. The analytical derivation method was built up to quantitatively attribute the effects from 5 key climate fields to Ep variations, including wind speed (u2), sunshine duration (n), relative humidity (RH), daily maximum (Tmax), and minimum (Tmin) air temperature. New hydrological insights for the region: The attribution results were more accurate and reasonable than those from two commonly used statistically based climate elasticity methods, which tended to overestimated the Ep variations. Most weather stations had experienced the decreasing trends of Ep during the entire research period of 1961–2018, which were mainly attributed to the decreasing in u2, n and RH, while the effects of regional warming (rising air temperature) were less influential on Ep variations at the long-term scale. The variations of Ep attributed to the three main influential climate variables (u2, n and RH) across China had also shown different temporal and spatial tendency patterns during different historical research periods. For example, the changing n and RH had shown increasing power on Ep variations in the western China climate zones. Comparatively, the u2 has been losing its power in decreasing Ep in most regions of China due to the slowdown in the declining rates of wind speed. This dynamic Ep attribution process is worthy of continuous focus and systematic research. |
| first_indexed | 2024-12-13T15:16:01Z |
| format | Article |
| id | doaj.art-1ce37c15d38a4bdf88c81f59f3b8a5ea |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-12-13T15:16:01Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-1ce37c15d38a4bdf88c81f59f3b8a5ea2022-12-21T23:40:43ZengElsevierJournal of Hydrology: Regional Studies2214-58182022-04-0140100991On the attribution of changing water surface evaporation across ChinaXiaoxiang Guan0Cuishan Liu1Jianyun Zhang2Guoqing Wang3Zhenxin Bao4Junliang Jin5College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; Research Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China; Yangtze Institute for Conservation and Development, Nanjing 210098, ChinaResearch Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China; Correspondence to: 223 Guangzhou Road, Nanjing City, Jiangsu Province 210029, China.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; Research Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China; Yangtze Institute for Conservation and Development, Nanjing 210098, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, ChinaResearch Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China; Yangtze Institute for Conservation and Development, Nanjing 210098, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, ChinaResearch Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, ChinaResearch Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China; Yangtze Institute for Conservation and Development, Nanjing 210098, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, ChinaStudy region: China Study focus: Water evaporation represents a pivotal indicator of the terrestrial ecosystem and hydrological cycle, influencing regional water and energy balance to some extent. In this study, the long-term data series of water surface evaporation (Ep) were assimilated across China, with the observations from 552 national benchmark weather stations. The trends of Ep and the influential climate variables were well detected. The analytical derivation method was built up to quantitatively attribute the effects from 5 key climate fields to Ep variations, including wind speed (u2), sunshine duration (n), relative humidity (RH), daily maximum (Tmax), and minimum (Tmin) air temperature. New hydrological insights for the region: The attribution results were more accurate and reasonable than those from two commonly used statistically based climate elasticity methods, which tended to overestimated the Ep variations. Most weather stations had experienced the decreasing trends of Ep during the entire research period of 1961–2018, which were mainly attributed to the decreasing in u2, n and RH, while the effects of regional warming (rising air temperature) were less influential on Ep variations at the long-term scale. The variations of Ep attributed to the three main influential climate variables (u2, n and RH) across China had also shown different temporal and spatial tendency patterns during different historical research periods. For example, the changing n and RH had shown increasing power on Ep variations in the western China climate zones. Comparatively, the u2 has been losing its power in decreasing Ep in most regions of China due to the slowdown in the declining rates of wind speed. This dynamic Ep attribution process is worthy of continuous focus and systematic research.http://www.sciencedirect.com/science/article/pii/S2214581822000040Water surface evaporation variations, effects quantificationAnalytical derivation methodChina |
| spellingShingle | Xiaoxiang Guan Cuishan Liu Jianyun Zhang Guoqing Wang Zhenxin Bao Junliang Jin On the attribution of changing water surface evaporation across China Journal of Hydrology: Regional Studies Water surface evaporation variations, effects quantification Analytical derivation method China |
| title | On the attribution of changing water surface evaporation across China |
| title_full | On the attribution of changing water surface evaporation across China |
| title_fullStr | On the attribution of changing water surface evaporation across China |
| title_full_unstemmed | On the attribution of changing water surface evaporation across China |
| title_short | On the attribution of changing water surface evaporation across China |
| title_sort | on the attribution of changing water surface evaporation across china |
| topic | Water surface evaporation variations, effects quantification Analytical derivation method China |
| url | http://www.sciencedirect.com/science/article/pii/S2214581822000040 |
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