Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1153-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-1153-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Mar 2022
Data description paper |
| 11 Mar 2022
| 11 Mar 2022
Multi-site, multi-crop measurements in the soil–vegetation–atmosphere continuum: a comprehensive dataset from two climatically contrasting regions in southwestern Germany for the period 2009–2018
Tobias K. D. Weber
CORRESPONDING AUTHOR
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
Joachim Ingwersen
CORRESPONDING AUTHOR
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
Petra Högy
Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany
Arne Poyda
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
current address: Grass and Forage Science/Organic Agriculture, Institute of Crop Science and Plant Breeding, Kiel University, Germany
Hans-Dieter Wizemann
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Michael Scott Demyan
Institute of Agricultural Sciences in the Tropics, University of Hohenheim, Stuttgart, Germany
Institute of Crop Science, University of Hohenheim, Stuttgart, Germany
current address: School of Environment and Natural Resources, The Ohio State University, Columbus, Ohio, USA
Kristina Bohm
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
previously published under the name Kristina Imukova
Ravshan Eshonkulov
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
current address: Karshi Engineering Economics Institute, Karshi, Uzbekistan
Sebastian Gayler
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
Pascal Kremer
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
Moritz Laub
Institute of Agricultural Sciences in the Tropics, University of Hohenheim, Stuttgart, Germany
Yvonne Funkiun Nkwain
Institute of Agricultural Sciences in the Tropics, University of Hohenheim, Stuttgart, Germany
Christian Troost
Institute of Agricultural Sciences in the Tropics, Land Use Economics, University of Hohenheim, Stuttgart, Germany
Irene Witte
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
Tim Reichenau
Institute of Geography, University of Cologne, Cologne, Germany
added as co-author after manuscript acceptance, see section author contribution
Thomas Berger
Institute of Agricultural Sciences in the Tropics, Land Use Economics, University of Hohenheim, Stuttgart, Germany
Georg Cadisch
Institute of Agricultural Sciences in the Tropics, University of Hohenheim, Stuttgart, Germany
Torsten Müller
Institute of Crop Science, University of Hohenheim, Stuttgart, Germany
Andreas Fangmeier
Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
Thilo Streck
Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
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Cited
9 citations as recorded by crossref.
- Within-season crop yield prediction by a multi-model ensemble with integrated data assimilation H. Zare et al. 10.1016/j.fcr.2024.109293
- Harvest residues: A relevant term in the carbon balance of croplands? J. Ingwersen et al. 10.1016/j.agrformet.2024.109935
- Improving winter wheat yield prediction by accounting for weather and model parameter uncertainty while assimilating LAI and updating weather data within a crop model H. Zare et al. 10.1016/j.eja.2024.127149
- Do rotations with cover crops increase yield and soil organic carbon?—A modeling study in southwest Germany A. Attia et al. 10.1016/j.agee.2024.109167
- The land–atmosphere feedback observatory: a new observational approach for characterizing land–atmosphere feedback F. Späth et al. 10.5194/gi-12-25-2023
- CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada P. Sarzaeim et al. 10.5194/essd-15-3963-2023
- A Bayesian sequential updating approach to predict phenology of silage maize M. Viswanathan et al. 10.5194/bg-19-2187-2022
- Combining Crop Modeling with Remote Sensing Data Using a Particle Filtering Technique to Produce Real-Time Forecasts of Winter Wheat Yields under Uncertain Boundary Conditions H. Zare et al. 10.3390/rs14061360
- Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling A. Schäfer Rodrigues Silva et al. 10.1007/s40808-022-01427-1
7 citations as recorded by crossref.
- Within-season crop yield prediction by a multi-model ensemble with integrated data assimilation H. Zare et al. 10.1016/j.fcr.2024.109293
- Harvest residues: A relevant term in the carbon balance of croplands? J. Ingwersen et al. 10.1016/j.agrformet.2024.109935
- Improving winter wheat yield prediction by accounting for weather and model parameter uncertainty while assimilating LAI and updating weather data within a crop model H. Zare et al. 10.1016/j.eja.2024.127149
- Do rotations with cover crops increase yield and soil organic carbon?—A modeling study in southwest Germany A. Attia et al. 10.1016/j.agee.2024.109167
- The land–atmosphere feedback observatory: a new observational approach for characterizing land–atmosphere feedback F. Späth et al. 10.5194/gi-12-25-2023
- CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada P. Sarzaeim et al. 10.5194/essd-15-3963-2023
- A Bayesian sequential updating approach to predict phenology of silage maize M. Viswanathan et al. 10.5194/bg-19-2187-2022
2 citations as recorded by crossref.
- Combining Crop Modeling with Remote Sensing Data Using a Particle Filtering Technique to Produce Real-Time Forecasts of Winter Wheat Yields under Uncertain Boundary Conditions H. Zare et al. 10.3390/rs14061360
- Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling A. Schäfer Rodrigues Silva et al. 10.1007/s40808-022-01427-1
Latest update: 22 Nov 2024
Short summary
Presented are measurement results from six agricultural fields operated by local farmers in southwestern Germany over 9 years. Six eddy-covariance stations measuring water, energy, and carbon fluxes between the vegetated soil surface and the atmosphere provided the backbone of the measurement sites and were supplemented by extensive soil and vegetation state monitoring. The dataset is ideal for testing process models characterizing fluxes at the vegetated soil surface and in the atmosphere.
Presented are measurement results from six agricultural fields operated by local farmers in...
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