Assessing, scaling and comparing sap flow, eddy covariance and lysimeter measurements in the BRIDGET toolbox
- 1Karlsruhe Institute of Technology (KIT), Institute of Water and River Basin Management, Chair of Hydrology, Karlsruhe, Germany (sibylle.hassler@kit.edu)
- 2Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Trace Gases and Remote Sensing, Karlsruhe, Germany
- 3Helmholtz Centre for Environmental Research GmbH - UFZ, Monitoring and Exploration Technologies, Leipzig, Germany
- 4Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
- 5Technische Universität Dresden, Institut für Meteorologie und Hydrologie, Dresden, Germany
- 6Karlsruhe Institute of Technology (KIT), Steinbuch Centre for Computing, Eggenstein-Leopoldshafen, Germany
- 7Helmholtz Centre for Environmental Research GmbH - UFZ, Monitoring and Exploration Technologies, Leipzig, Germany
Estimates of evapotranspiration (ET) which can be derived from in-situ measurements are often difficult to compare because they originate from different research disciplines, were collected at different scales using a range of methods, and they entail method-specific uncertainties.
The BRIDGET toolbox – developed within the Digital Earth project – aims to support the harmonisation 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.
BRIDGET is implemented both as a standalone Python package and as part of the existing virtual research environment V-FOR-WaTer. It is organised as a toolbox consisting of several sub-sections which deal with the different in-situ measurement methods, their typical scaling approaches and most relevant analysis functions. A corresponding uncertainty framework is developed separately as a Python package and as a tool in V-FOR-WaTer. Our first focus for BRIDGET is upscaling tree-level sap flow measurements and comparing them to respective transpiration estimates from eddy covariance and lysimeters.
How to cite: Hassler, S. K., Dietrich, P., Kiese, R., Mälicke, M., Mauder, M., Meyer, J., Rebmann, C., Strobl, M., and Zehe, E.: Assessing, scaling and comparing sap flow, eddy covariance and lysimeter measurements in the BRIDGET toolbox, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5178, https://doi.org/10.5194/egusphere-egu22-5178, 2022.
