Recent increase in the observation-derived land evapotranspiration due to global warming
Estimates of change in global land evapotranspiration (ET) are necessary for understanding the terrestrial hydrological cycle under changing environments. However, large uncertainties still exist in our estimates, mostly related to the uncertainties in upscaling in situ observations to large scale u...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2022-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ac4291 |
| _version_ | 1797747121131094016 |
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| author | Ren Wang Longhui Li Pierre Gentine Yao Zhang Jianyao Chen Xingwei Chen Lijuan Chen Liang Ning Linwang Yuan Guonian Lü |
| author_facet | Ren Wang Longhui Li Pierre Gentine Yao Zhang Jianyao Chen Xingwei Chen Lijuan Chen Liang Ning Linwang Yuan Guonian Lü |
| author_sort | Ren Wang |
| collection | DOAJ |
| description | Estimates of change in global land evapotranspiration (ET) are necessary for understanding the terrestrial hydrological cycle under changing environments. However, large uncertainties still exist in our estimates, mostly related to the uncertainties in upscaling in situ observations to large scale under non-stationary surface conditions. Here, we use machine learning models, artificial neural network and random forest informed by ground observations and atmospheric boundary layer theory, to retrieve consistent global long-term latent heat flux (ET in energy units) and sensible heat flux over recent decades. This study demonstrates that recent global land ET has increased significantly and that the main driver for the increased ET is increasing temperature. Moreover, the results suggest that the increasing ET is mostly in humid regions such as the tropics. These observation-driven findings are consistent with the idea that ET would increase with climate warming. Our study has important implications in providing constraints for ET and in understanding terrestrial water cycles in changing environments. |
| first_indexed | 2024-03-12T15:46:38Z |
| format | Article |
| id | doaj.art-0f858cfc933946a180f4deb077228c73 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:46:38Z |
| publishDate | 2022-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-0f858cfc933946a180f4deb077228c732023-08-09T15:23:31ZengIOP PublishingEnvironmental Research Letters1748-93262022-01-0117202402010.1088/1748-9326/ac4291Recent increase in the observation-derived land evapotranspiration due to global warmingRen Wang0https://orcid.org/0000-0003-0294-2395Longhui Li1Pierre Gentine2https://orcid.org/0000-0002-0845-8345Yao Zhang3Jianyao Chen4Xingwei Chen5Lijuan Chen6Liang Ning7Linwang Yuan8Guonian Lü9Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education , Nanjing 210023, People’s Republic of China; School of Geographical Sciences, Nanjing Normal University , Nanjing 210023, People’s Republic of China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application , Nanjing 210023, People’s Republic of ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education , Nanjing 210023, People’s Republic of China; School of Geographical Sciences, Nanjing Normal University , Nanjing 210023, People’s Republic of China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application , Nanjing 210023, People’s Republic of ChinaEarth and Environmental Engineering Department, Columbia University , New York, NY 10027, United States of America; Earth Institute, Columbia University , New York, NY 10027, United States of AmericaSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University , Beijing 100871, People’s Republic of ChinaSchool of Geography and Planning, Sun Yat-sen University , Guangzhou 510275, People’s Republic of China; Guandong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University , Guangzhou 510275, People’s Republic of ChinaState Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University , Fuzhou 350007, People’s Republic of China; School of Geographical Sciences, Fujian Normal University , Fuzhou 35007, People’s Republic of ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education , Nanjing 210023, People’s Republic of China; School of Geographical Sciences, Nanjing Normal University , Nanjing 210023, People’s Republic of China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application , Nanjing 210023, People’s Republic of ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education , Nanjing 210023, People’s Republic of China; School of Geographical Sciences, Nanjing Normal University , Nanjing 210023, People’s Republic of China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application , Nanjing 210023, People’s Republic of ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education , Nanjing 210023, People’s Republic of China; School of Geographical Sciences, Nanjing Normal University , Nanjing 210023, People’s Republic of China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application , Nanjing 210023, People’s Republic of ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education , Nanjing 210023, People’s Republic of China; School of Geographical Sciences, Nanjing Normal University , Nanjing 210023, People’s Republic of China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application , Nanjing 210023, People’s Republic of ChinaEstimates of change in global land evapotranspiration (ET) are necessary for understanding the terrestrial hydrological cycle under changing environments. However, large uncertainties still exist in our estimates, mostly related to the uncertainties in upscaling in situ observations to large scale under non-stationary surface conditions. Here, we use machine learning models, artificial neural network and random forest informed by ground observations and atmospheric boundary layer theory, to retrieve consistent global long-term latent heat flux (ET in energy units) and sensible heat flux over recent decades. This study demonstrates that recent global land ET has increased significantly and that the main driver for the increased ET is increasing temperature. Moreover, the results suggest that the increasing ET is mostly in humid regions such as the tropics. These observation-driven findings are consistent with the idea that ET would increase with climate warming. Our study has important implications in providing constraints for ET and in understanding terrestrial water cycles in changing environments.https://doi.org/10.1088/1748-9326/ac4291evapotranspirationlatent heat fluxsensible heat fluxterrestrial water cycleclimate change |
| spellingShingle | Ren Wang Longhui Li Pierre Gentine Yao Zhang Jianyao Chen Xingwei Chen Lijuan Chen Liang Ning Linwang Yuan Guonian Lü Recent increase in the observation-derived land evapotranspiration due to global warming Environmental Research Letters evapotranspiration latent heat flux sensible heat flux terrestrial water cycle climate change |
| title | Recent increase in the observation-derived land evapotranspiration due to global warming |
| title_full | Recent increase in the observation-derived land evapotranspiration due to global warming |
| title_fullStr | Recent increase in the observation-derived land evapotranspiration due to global warming |
| title_full_unstemmed | Recent increase in the observation-derived land evapotranspiration due to global warming |
| title_short | Recent increase in the observation-derived land evapotranspiration due to global warming |
| title_sort | recent increase in the observation derived land evapotranspiration due to global warming |
| topic | evapotranspiration latent heat flux sensible heat flux terrestrial water cycle climate change |
| url | https://doi.org/10.1088/1748-9326/ac4291 |
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