EGU21-3889
https://doi.org/10.5194/egusphere-egu21-3889
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Integration of evapotranspiration estimates from scaled sap flow values and eddy covariance measurements in the BRIDGET toolbox

Sibylle K. Hassler1, Peter Dietrich2, Ralf Kiese3, Mirko Mälicke1, Matthias Mauder3, Jörg Meyer4, Corinna Rebmann5, Marcus Strobl4, and Erwin Zehe1
Sibylle K. Hassler et al.
  • 1Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Chair of Hydrology, Karlsruhe, Germany (sibylle.hassler@kit.edu)
  • 2Helmholtz Centre for Environmental Research GmbH - UFZ, Monitoring and Exploration Technologies, Leipzig, Germany
  • 3Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
  • 4Karlsruhe Institute of Technology (KIT), Steinbuch Centre for Computing, Eggenstein-Leopoldshafen, Germany
  • 5Helmholtz Centre for Environmental Research GmbH - UFZ, Computational Hydrosystems, Leipzig, Germany

Comparing estimates of evapotranspiration (ET) from different in-situ measurements – or between in-situ measurements and remote sensing products or modelling outputs – always entails the challenge of different scales and method-specific uncertainties. Especially when the estimates originate in different research disciplines, addressing and quantifying the various sources of uncertainty of the scaled ET values becomes a difficult task for individual researchers who are not familiar with all the methodological details.

The BRIDGET toolbox – developed within the Digital Earth project – wants to support the integration and scaling of diverse in-situ ET measurements by providing tools for storage, merging and visualisation of multi-scale and multi-sensor ET data. This requires an appropriate metadata description for the various measurements as well as an assessment of method-specific uncertainties which need to be supported by domain experts. We combine these tools in a standalone python package and also implement them in an existing virtual research environment (V-FOR-WaTer).

Our first use case defines and quantifies the various sources of uncertainty when scaling sap flow values from individual sensor measurements in a tree up to the transpiration estimate of a stand. Comparison estimates come from eddy covariance measurements, lysimeters and remote sensing products.

How to cite: Hassler, S. K., Dietrich, P., Kiese, R., Mälicke, M., Mauder, M., Meyer, J., Rebmann, C., Strobl, M., and Zehe, E.: Integration of evapotranspiration estimates from scaled sap flow values and eddy covariance measurements in the BRIDGET toolbox, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3889, https://doi.org/10.5194/egusphere-egu21-3889, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.