Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1283-2024
© Author(s) 2024. 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-16-1283-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations
Jiye Leng
Department of Geography and Planning, University of Toronto, Toronto, ON M5S 3G3, Canada
Jing M. Chen
CORRESPONDING AUTHOR
Department of Geography and Planning, University of Toronto, Toronto, ON M5S 3G3, Canada
Wenyu Li
Department of Geography and Planning, University of Toronto, Toronto, ON M5S 3G3, Canada
Xiangzhong Luo
Department of Geography, National University of Singapore, 1 Arts Link, 117570, Singapore
Mingzhu Xu
School of Geographical Science, Fujian Normal University, Fuzhou 350007, China
Department of Geography and Planning, University of Toronto, Toronto, ON M5S 3G3, Canada
Rong Wang
School of Geographical Science, Fujian Normal University, Fuzhou 350007, China
Cheryl Rogers
School of Earth, Environment and Society, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
Bolun Li
School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Yulin Yan
School of Geographical Science, Fujian Normal University, Fuzhou 350007, China
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Cited
8 citations as recorded by crossref.
- Field-scale evaluation of a satellite-based terrestrial biosphere model for estimating crop response to management practices and productivity J. Wang et al. 10.1016/j.isprsjprs.2024.11.008
- Direct radiative effects of aerosols and clouds and their impacts on the ecosystem gross primary productivity in summer at typical sites in China X. Deng et al. 10.1016/j.envres.2025.122138
- Plant traits shape global spatiotemporal variations in photosynthetic efficiency Y. Yan et al. 10.1038/s41477-025-01958-2
- Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution R. Xu et al. 10.1016/j.jag.2024.104248
- CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization Y. Kang et al. 10.5194/essd-17-3009-2025
- Vegetation Photosynthesis Model v3.0: Improved Estimates of Terrestrial Gross Primary Production from Individual Eddy Flux Tower Sites to the Globe L. Pan et al. 10.34133/remotesensing.0471
- Development of an ecohydrological model for coupled simulation of water and carbon fluxes, crop growth, and canopy spectra over croplands C. Yang et al. 10.1016/j.compag.2025.110336
- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. 10.5194/essd-16-1283-2024
7 citations as recorded by crossref.
- Field-scale evaluation of a satellite-based terrestrial biosphere model for estimating crop response to management practices and productivity J. Wang et al. 10.1016/j.isprsjprs.2024.11.008
- Direct radiative effects of aerosols and clouds and their impacts on the ecosystem gross primary productivity in summer at typical sites in China X. Deng et al. 10.1016/j.envres.2025.122138
- Plant traits shape global spatiotemporal variations in photosynthetic efficiency Y. Yan et al. 10.1038/s41477-025-01958-2
- Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution R. Xu et al. 10.1016/j.jag.2024.104248
- CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization Y. Kang et al. 10.5194/essd-17-3009-2025
- Vegetation Photosynthesis Model v3.0: Improved Estimates of Terrestrial Gross Primary Production from Individual Eddy Flux Tower Sites to the Globe L. Pan et al. 10.34133/remotesensing.0471
- Development of an ecohydrological model for coupled simulation of water and carbon fluxes, crop growth, and canopy spectra over croplands C. Yang et al. 10.1016/j.compag.2025.110336
Latest update: 03 Aug 2025
Short summary
We produced a long-term global two-leaf gross primary productivity (GPP) and evapotranspiration (ET) dataset at the hourly time step by integrating a diagnostic process-based model with dynamic parameterizations. The new dataset provides us with a unique opportunity to study carbon and water fluxes at sub-daily time scales and advance our understanding of ecosystem functions in response to transient environmental changes.
We produced a long-term global two-leaf gross primary productivity (GPP) and evapotranspiration...
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