Abstract
The ratio of plant transpiration to total terrestrial evapotranspiration (T/ET) captures the role of vegetation in surface-atmosphere interactions. However, several studies have documented a large variability in T/ET. In this paper, we present a new T/ET dataset (also including transpiration, evapotranspiration data) for China from 1981 to 2015 with spatial and temporal resolutions of 0.05° and 8 days, respectively. The T/ET dataset is based on a model-data fusion method that integrates the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model with multivariate observational datasets (transpiration and evapotranspiration). The dataset is driven by satellite-based leaf area index (LAI) data from GLASS and GLOBMAP, and climate data from the Chinese Ecosystem Research Network (CERN). Observational annual T/ET were used to validate the model, with R2 and RMSE values were 0.73 and 0.07 (12.41%), respectively. The dataset provides significant insight into T/ET and its changes over the Chinese terrestrial ecosystem and will be beneficial for understanding the hydrological cycle and energy budgets between the land and the atmosphere.
Highlights
Background & SummaryEvapotranspiration (ET) is a keystone climate variable that uniquely links the hydrological cycle, energy budget, and carbon cycle[1,2]
Quantifying the ratio of transpiration to total evapotranspiration (T/ ET) is an important topic of research[4], it is crucial for estimating the land water flux and providing insight into the interactions between the terrestrial ecosystem and atmosphere[5,6]
One isotope-based method indicated that T/ ET was approximately 0.80–0.90 at the global scale[1], which may be an overestimation[17,18]
Summary
Background & SummaryEvapotranspiration (ET) is a keystone climate variable that uniquely links the hydrological cycle, energy budget, and carbon cycle[1,2]. Long-term time series of spatially and temporally continuous T/ET products can be used to generate relatively more accurate carbon cycle projections because the biological process impacts of transpiration control carbon dioxide exchange between the land and atmosphere[7]. This can help improve our understanding of feedback mechanisms between environmental factors and hydrological components, especially within the context of climate change[8,9]. Due to the inaccurate representation of canopy light use, interception loss and root water uptake process in earth system models, the Coupled Model Intercomparison Project phase 5 (CMIP5) models underestimate T/ET, with a mean value of 0.41 ± 0.117
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