03 Mar 2021

03 Mar 2021

Review status: a revised version of this preprint was accepted for the journal ESSD.

Multi-site, multi-crop measurements in the soil-vegetation-atmosphere continuum: A comprehensive dataset from two climatically contrasting regions in South West Germany for the period 2009–2018

Tobias K. D. Weber1, Joachim Ingwersen1, Petra Högy2, Arne Poyda1,a, Hans-Dieter Wizemann3, Michael Scott Demyan3,4,b, Kristina Bohm1,, Ravshan Eshonkulov1,c, Sebastian Gayler1, Pascal Kremer1, Moritz Laub3, Yvonne Funkiun Nkwain2, Christian Troost5, Irene Witte1, Georg Cadisch4, Torsten Müller6, Andreas Fangmeier2, Volker Wulfmeyer3, and Thilo Streck1 Tobias K. D. Weber et al.
  • 1Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany
  • 2Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany
  • 3Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
  • 4Institute of Agricultural Sciences in the Tropics, University of Hohenheim, Stuttgart, Germany
  • 5Institute of Agricultural Sciences in the Tropics, University of Hohenheim, Stuttgart, Germany
  • 6Institute of Crop Science, University of Hohenheim, Stuttgart, Germany
  • acurrent address: Institute of Crop Science and Plant Breeding, Grass and Forage Science/Organic Agriculture, Kiel University, Germany
  • bcurrent address: School of Environment and Natural Resources, The Ohio State University, Columbus, Ohio, USA
  • ccurrent address: Karshi Engoneering-Economic Institute, Karshi, Uzbekistan
  • previously published under the name Kristina Imukova

Abstract. We present a comprehensive, high-quality dataset characterising soil-vegetation and land-surface processes from continuous measurements conducted in two climatically contrasting study regions in South West Germany: the warmer and drier Kraichgau region with a mean temperature of 9.7 °C and annual precipitation of 890 mm, and the cooler and wetter Swabian Alp with mean temperature 7.5 °C and annual precipitation 1042 mm. In each region, measurements were conducted over a time period of nine cropping seasons from 2009 to 2018. The backbone of the investigation was formed by six eddy-covariance stations (EC) which measured fluxes of water, energy and carbon dioxide between the land surface and the atmosphere at half-hourly resolution. This resulted in a dataset containing measurements from a total of 54 site*years containing observations with a multitude of crops, as well as considerable variation in local growing season climates.

The presented multi-site, multi-year data set is composed of crop-related data on phenological development stages, canopy height, leaf area index, vegetative and generative biomass and their respective carbon and nitrogen content. Time series of soil temperature and soil water content were monitored with 30-min resolution at various points in the soil profile, including ground heat fluxes. Moreover, more than 1,200 soil samples were taken to study changes of carbon and nitrogen contents. The data set was uploaded to the Pangaea database and can be accessed at (for the review process, please refer to the data availability section). One station in each region has now been set up as continuous observatories of state variables and fluxes in intensively managed agricultural fields.

Tobias K. D. Weber et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2020-396', Anonymous Referee #1, 31 Mar 2021
    • AC1: 'Reply on RC1', Tobias Karl David Weber, 01 Oct 2021
  • RC2: 'Comment on essd-2020-396', Anonymous Referee #2, 13 May 2021

Tobias K. D. Weber et al.

Tobias K. D. Weber et al.


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Short summary
Presented measurement results from 6 agricultural fields, operated by local farmers in South-Western Germany, over a period of 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 characterising fluxes at the vegetated soil surface and the atmosphere.