Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4849-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4849-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
31 Oct 2023
Data description article |
| 31 Oct 2023
| 31 Oct 2023
A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model
Shanlei Sun
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, China
Zaoying Bi
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, China
Jingfeng Xiao
Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, USA
Yi Liu
School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia
Ge Sun
Eastern Forest Environmental Threat Assessment Center, Southern Research Station, USDA Forest Service, Raleigh, USA
Weimin Ju
International Institute for Earth System Science, Nanjing University, Nanjing, China
Chunwei Liu
Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China
Mengyuan Mu
ARC Centre of Excellence for Climate Extremes and Climate Change Research Centre, University of New South Wales, Sydney, Australia
Jinjian Li
School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, China
Yang Zhou
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, China
Xiaoyuan Li
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, China
Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China
Haishan Chen
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster, Ministry of Education/International Joint Research Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, China
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Cited
25 citations as recorded by crossref.
- Effects of Long-Term Vegetation Restoration on Green Water Utilization Heterogeneity in the Loess Plateau Based on Field Experiments and Modeling L. Wang et al.
- Energy-conservation datasets of global land surface radiation and heat fluxes from 2000–2020 generated by CoSEB J. Wang et al.
- The evaluation of the suitability of potential evapotranspiration models for drought monitoring based on observed pan evaporation and potential evapotranspiration from eddy covariance W. Liu et al.
- A hybrid machine learning and optimal stomatal behavior model to reveal the role of vegetation dynamics in potential evapotranspiration and drought W. Liu et al.
- Simulation of Water Balance Components Using the SWAT Model in the Birr Watershed, Upper Blue Nile Basin M. Bitew
- Super-resolution downscaling of projected future potential evapotranspiration over China F. Zhang et al.
- The impact of nonlinear surface energy partitioning on potential evapotranspiration: A machine learning study based on FLUXNET data W. Liu et al.
- Attributing changes in evapotranspiration and runoff across the continental U.S. using the Budyko hypothesis combined with the Shuttleworth-Wallace model R. Lv et al.
- High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al.
- Global changes in potential evapotranspiration (1992–2020) and associated drivers: Shuttleworth-Wallace model-based analysis Z. Bi et al.
- Estimating global evapotranspiration and its drivers using the remote sensing Penman–Monteith model and geographical detectors S. Yang et al.
- Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al.
- Impact of the potential evapotranspiration models on drought monitoring W. Liu et al.
- An enhanced Standardized Precipitation–Evapotranspiration Index (SPEI) drought-monitoring method integrating land surface characteristics L. Peng et al.
- A three-layer evapotranspiration model considering the vertical structure of urban green spaces Q. Li et al.
- Ecohydrological processes can predict biocrust cover at regional scale but not global scale N. Chen et al.
- Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought S. Sun et al.
- Triple- Collocation Potential Evapotranspiration Fusion Method Incorporating Non-Stationary Error Characteristics in Spatiotemporal Neighborhoods Z. Peng et al.
- A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model S. Sun et al.
- Recent significant drying in Central Congo Basin linked to weakened Walker circulation and warmer Atlantic S. Wongchuig et al.
- Enhancing evapotranspiration estimates under climate change: the role of CO2 physiological feedback and CMIP6 scenarios X. Yang et al.
- Satellite-based near-real-time global daily terrestrial evapotranspiration estimates L. Huang et al.
- A 0.1° monthly potential evapotranspiration dataset based on the optimal models over global vegetation zones Z. Bi et al.
- Linking woody plants, climate, and evapotranspiration in a temperate savanna H. Olariu et al.
- Global estimation of terrestrial evapotranspiration based on the atmospheric water balance approach S. Shang et al.
25 citations as recorded by crossref.
- Effects of Long-Term Vegetation Restoration on Green Water Utilization Heterogeneity in the Loess Plateau Based on Field Experiments and Modeling L. Wang et al.
- Energy-conservation datasets of global land surface radiation and heat fluxes from 2000–2020 generated by CoSEB J. Wang et al.
- The evaluation of the suitability of potential evapotranspiration models for drought monitoring based on observed pan evaporation and potential evapotranspiration from eddy covariance W. Liu et al.
- A hybrid machine learning and optimal stomatal behavior model to reveal the role of vegetation dynamics in potential evapotranspiration and drought W. Liu et al.
- Simulation of Water Balance Components Using the SWAT Model in the Birr Watershed, Upper Blue Nile Basin M. Bitew
- Super-resolution downscaling of projected future potential evapotranspiration over China F. Zhang et al.
- The impact of nonlinear surface energy partitioning on potential evapotranspiration: A machine learning study based on FLUXNET data W. Liu et al.
- Attributing changes in evapotranspiration and runoff across the continental U.S. using the Budyko hypothesis combined with the Shuttleworth-Wallace model R. Lv et al.
- High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al.
- Global changes in potential evapotranspiration (1992–2020) and associated drivers: Shuttleworth-Wallace model-based analysis Z. Bi et al.
- Estimating global evapotranspiration and its drivers using the remote sensing Penman–Monteith model and geographical detectors S. Yang et al.
- Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al.
- Impact of the potential evapotranspiration models on drought monitoring W. Liu et al.
- An enhanced Standardized Precipitation–Evapotranspiration Index (SPEI) drought-monitoring method integrating land surface characteristics L. Peng et al.
- A three-layer evapotranspiration model considering the vertical structure of urban green spaces Q. Li et al.
- Ecohydrological processes can predict biocrust cover at regional scale but not global scale N. Chen et al.
- Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought S. Sun et al.
- Triple- Collocation Potential Evapotranspiration Fusion Method Incorporating Non-Stationary Error Characteristics in Spatiotemporal Neighborhoods Z. Peng et al.
- A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model S. Sun et al.
- Recent significant drying in Central Congo Basin linked to weakened Walker circulation and warmer Atlantic S. Wongchuig et al.
- Enhancing evapotranspiration estimates under climate change: the role of CO2 physiological feedback and CMIP6 scenarios X. Yang et al.
- Satellite-based near-real-time global daily terrestrial evapotranspiration estimates L. Huang et al.
- A 0.1° monthly potential evapotranspiration dataset based on the optimal models over global vegetation zones Z. Bi et al.
- Linking woody plants, climate, and evapotranspiration in a temperate savanna H. Olariu et al.
- Global estimation of terrestrial evapotranspiration based on the atmospheric water balance approach S. Shang et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Based on various existing datasets, we comprehensively considered spatiotemporal differences in...
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