Published March 31, 2026
| Version 0.1.0
Dataset
GNSS-T VOD data set for combined analysis of rainfall interception, dew, and plant water dyanmics at a temperature needleleaf forest
Authors/Creators
-
Schellenberg, Konstantin
(Project leader)1, 2
-
Paulus, Sinikka
(Project member)3, 1
-
Queck, Ronald
(Data collector)4
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Mencuccini, Maurizio
(Data collector)5, 6, 7
-
Paligi, Sharath
(Data collector)8
-
Hartmann, Henrik
(Supervisor)8, 9, 1
-
Schmullius, Christiane
(Supervisor)2
-
Jagdhuber, Thomas
(Supervisor)10, 11
-
1.
Max Planck Institute for Biogeochemistry
-
2.
Friedrich Schiller University Jena
-
3.
University of Freiburg
-
4.
TU Dresden
- 5. Institució Catalana de Recerca i Estudis Avançats (ICREA)
-
6.
Centre for Research on Ecology and Forestry Applications
-
7.
University of Edinburgh
-
8.
University of Göttingen
-
9.
Julius Kühn-Institut
-
10.
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
-
11.
University of Augsburg
Contributors
Description
This data repository contains the compiled data sets used in preprint Schellenberg et al. (2026) – EGUSPHERE-2026-1751, Submitted to Copernicus Biogeosciences on 2026-03-28.
Upon acceptance of the manuscript, this data base will be unlocked from an embargo.
The data encompasses two sets of 30min, growing-season meteorological data, model results and GNSS-T VOD data.
- Preprocessed GNSS-T VOD data
- Meteorological and energy data: Soil moisture, precipitaiton, VPD, wind speed, latent heat flux
- Canwat (https://github.com/Ron-Q/CanWat) model results averaged over the spatial domain (see below the difference between the two data sets): Rainfall interception, dripping, evaporation, transpiration
- Sapflow-deduced plant water uptake and transpiration (water balance closed)
- Baseline-indexed variables (for rain events, and per day)
There are two data sets:
A) Canwat output in column/cylinder form (x-y constant over z) `Meteo-GNSS-Canwat_20260215_0955_postprocessed.csv`
B) Canwat output in GNSS footprint as inverted cone with cutoff elevation angle 30°. `Meteo-GNSS-Canwat_20260215_0955_postprocessed_masked.csv`
The appended variable_description.csv contains the metadata.
Additional details
Software
- Repository URL
- https://github.com/konstantinschellenberg/eval-gnsst-vod-forest-water-content
- Programming language
- Python