Published August 12, 2023
| Version v1
Dataset
Open
Global Datasets of Hourly Carbon and Water Fluxes Simulated Using a Satellite-based Process Model with Dynamic Parameterizations
Authors/Creators
- 1. Department of Geography and Planning, University of Toronto
- 2. Department of Geography, National University of Singapore
- 3. School of Geographical Science, Fujian Normal University
- 4. School of Earth, Environment and Society, McMaster University
- 5. School of Geographical Sciences, Nanjing University of Information Science and Technology
- 6. School of Geographical Sciences, Fujian Normal University
Description
This new global hourly dataset serves as a 'handshake' among process-based models, remote sensing, and the eddy covariance flux network, providing a reliable long-term estimate of global gross primary productivity (GPP) and evapotranspiration (ET) with diurnal patterns and facilitating studies related to ecosystem functional properties, global carbon, and water cycles.
The dataset include the GPP and ET of sunlit and shaded leaf components at an hourly timescale and a spatial resolution of 0.25-degree from 2001 to 2020.
Files
2001_Daily_GPP_ET.zip
Files
(24.6 GB)
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