EGU23-6416
https://doi.org/10.5194/egusphere-egu23-6416
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Accelerating the understanding of plant response to drought stress

Fakhereh Alidoost1, Yang Liu1, Bart Schilperoort1, Zhongbo Su2, and Yijian Zeng2
Fakhereh Alidoost et al.
  • 1Netherlands eScience Center, Amsterdam, the Netherlands
  • 2ITC Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, the Netherlands

Climate extremes like droughts and heatwaves impact how water, energy, and carbon move through ecosystems. Soil-water-plant-energy interactions can be represented by SCOPE (vegetation photosynthesis model) and STEMMUS (soil water and heat model). SCOPE simulates the radiative transfer of incident light and thermal and fluorescence radiation emitted by soil and plants, temperatures of leaves and soil in the sun and shade, photosynthesis and turbulent heat exchange whereas STEMMUS traces soil moisture and soil heat dynamics and root water uptake.  

The integrated model, “STEMMUS-SCOPE”, thus links vegetation dynamics to soil moisture and soil temperature variability. This helps to simulate evaporation, transpiration and carbon fluxes better, especially under water stress conditions. With STEMMUS-SCOPE, we can model variables like moisture levels in deeper soil (root-zone-soil moisture) and the amount of carbon that is stored underground (carbon sequestration) at a global scale.  

However, applying STEMMUS-SCOPE across ecosystems at a global scale faces numerical problems and computational challenges, such as numerical convergency of the model, optimization issues in calibration, and expensive computational cost. To overcome the challenges, we are developing tools for efficient computing and data handling within the context of EcoExtreML project. The project aims to improve the coupling of STEMMUS and SCOPE models, approximate the integrated model by a machine learning approach, and estimate uncertain model states and parameters using data assimilation techniques. The results of STEMMUS-SCOPE are currently prepared for 170 flux tower sites representing 1040 site-years of data with a half-hour time step across most of the world’s climate zones and representative biomes. 

In this talk, we will give you an overview of STEMMUS-SCOPE, show how the model can be used, and introduce EcoExtreML project. 

References:  

SCOPE: https://doi.org/10.5194/bg-6-3109-2009,  https://github.com/Christiaanvandertol/SCOPE 

STEMMUS: https://doi.org/10.1007/978-3-642-34073-4, https://github.com/yijianzeng/STEMMUS 

STEMMUS–SCOPE : Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1.0.0), https://doi.org/10.5194/gmd-14-1379-2021  

EcoExtreML project: Accelerating process understanding for ecosystem functioning under extreme climates with Physics-aware machine learning, https://research-software-directory.org/projects/ecoextreml, https://github.com/EcoExtreML  

How to cite: Alidoost, F., Liu, Y., Schilperoort, B., Su, Z., and Zeng, Y.: Accelerating the understanding of plant response to drought stress, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6416, https://doi.org/10.5194/egusphere-egu23-6416, 2023.