Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6087-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-6087-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Dec 2021
Research article |
| 02 Dec 2021
| 02 Dec 2021
Response of water fluxes and biomass production to climate change in permanent grassland soil ecosystems
Veronika Forstner
CORRESPONDING AUTHOR
Institute of Earth Sciences, NAWI Graz Geocenter, University of Graz, Graz 8010, Austria
Jannis Groh
CORRESPONDING AUTHOR
Working Group “Hydropedology”, Research Area 1 “Landscape
Functioning, Leibniz Centre for Agricultural Landscape Research (ZALF),
Müncheberg 15374, Germany
Institute of Bio- and Geoscience IBG-3: Agrosphere, Forschungszentrum Jülich GmbH, Jülich 52425, Germany
Matevz Vremec
Institute of Earth Sciences, NAWI Graz Geocenter, University of Graz, Graz 8010, Austria
Markus Herndl
Institute of Plant Production and Cultural Landscape, Agricultural
Research and Education Centre, Irdning-Donnersbachtal 8952, Austria
Harry Vereecken
Institute of Bio- and Geoscience IBG-3: Agrosphere, Forschungszentrum Jülich GmbH, Jülich 52425, Germany
Horst H. Gerke
Working Group “Hydropedology”, Research Area 1 “Landscape
Functioning, Leibniz Centre for Agricultural Landscape Research (ZALF),
Müncheberg 15374, Germany
Steffen Birk
Institute of Earth Sciences, NAWI Graz Geocenter, University of Graz, Graz 8010, Austria
Thomas Pütz
Institute of Bio- and Geoscience IBG-3: Agrosphere, Forschungszentrum Jülich GmbH, Jülich 52425, Germany
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Jordan Steven Bates, Carsten Montzka, Harry Vereecken, and François Jonard
Biogeosciences, 23, 7253–7288, https://doi.org/10.5194/bg-23-7253-2026, https://doi.org/10.5194/bg-23-7253-2026, 2026
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We used drones with thermal, multispectral, and laser sensors to measure crop water use across three growing seasons. Combining temperature with information on both green and structural plant growth improved estimates of crop water use, particularly as crops aged or experienced stress. The approach revealed detailed patterns of reduced water use across fields, supporting earlier identification of crop stress.
Youri Rothfuss, Samuel Le Gall, Nicolas Brüggemann, Sharmin Jahan, Mathieu Javaux, Julian Klaus, Harry Vereecken, and Dagmar van Dusschoten
Hydrol. Earth Syst. Sci., 30, 6095–6114, https://doi.org/10.5194/hess-30-6095-2026, https://doi.org/10.5194/hess-30-6095-2026, 2026
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How plants cope with water stress is relevant when studying plant water sources in soil. We associated two techniques for measuring the content in water stable isotopes in the stem of sunflower plants and for locating where they take up water in a non-destructive manner. We highlight the role of stem water as a source of water to transpiration flux.
Nunzio Romano, Harry Vereecken, Heye R. Bogena, Giorgio Cassiani, Matteo Censini, Giovanna Armiento, Marco Proposito, Lorenzo De Silvestri, Eyal Ben Dor, Nicolas Francos, Christian Massari, János Mészáros, Tünde Takáts, Caterina Mazzitelli, Benedetto Sica, Ugo Lazzaro, and Paolo Nasta
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-725, https://doi.org/10.5194/essd-2026-725, 2026
Preprint under review for ESSD
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Understanding how climate and land-use change affect water resources requires observations that connect processes from soils and vegetation to groundwater and streams. The Alento dataset is presented that integrates environmental monitoring with targeted field observations across multiple Critical Zone components and scales. The dataset offers a distinctive resource for studying water storage and movement, evaluating environmental models, and improving understanding of water-limited regions.
Jordan Steven Bates, Carsten Montzka, Rajina Bajracharya, Harry Vereecken, and François Jonard
Biogeosciences, 23, 6179–6210, https://doi.org/10.5194/bg-23-6179-2026, https://doi.org/10.5194/bg-23-6179-2026, 2026
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This study compared drone-based laser, multispectral, and thermal sensors for estimating winter wheat biomass. Combining laser-derived crop structure and signal intensity improved predictions compared with crop height or multispectral data alone, while combining multispectral and thermal data with laser-derived features provided additional information during particular growth stages. The results highlight the potential of underutilized laser-derived features for crop biomass monitoring.
Matthias Cuntz, Stephan Thober, Anne Verhoef, Yijian Zeng, Aaron Boone, Agnès Ducharne, Sujan Koirala, David M. Lawrence, Philipp de Vrese, Carsten Montzka, Sonia I. Seneviratne, Harry Vereecken, Dani Or, Salma Tafasca, Naoki Mizukami, Rich Ellis, Patrick C. McGuire, and Lukas Gudmundsson
EGUsphere, https://doi.org/10.5194/egusphere-2026-4223, https://doi.org/10.5194/egusphere-2026-4223, 2026
Preprint archived
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Land surface models (LSMs) are essential tools to analyze future climate change. Here we pushed state-of-the-art LSMs out of their comfort zone revealing hidden connections between processes encoded into the models. The LSMs reacted differently due to complex, sometimes counter-intuitive interactions of different water fluxes. We identified surface runoff and soil evaporation as the two main reasons behind model differences, which should be improved by using more mechanistic descriptions.
Simon Seelig, Magdalena Seelig, Matevž Vremec, Martin Masten, Thomas Wagner, Karl Krainer, Michael Avian, Klaus Haslinger, Heike Brielmann, Albrecht Leis, Markus Ribis, Maria Obwegs, Matthias Hausleber, Rudolf Philippitsch, Richild Mauthner-Weber, Ernst Überreiter, and Gerfried Winkler
EGUsphere, https://doi.org/10.5194/egusphere-2026-3664, https://doi.org/10.5194/egusphere-2026-3664, 2026
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Modeling 21st-century climate impacts across 15 nested Austrian catchments, this study shows how shifting snow-to-rain regimes interact with subsurface storage. Because alpine headwaters lack the aquifer capacity to buffer earlier snowmelt and summer deficits, they drive cascading shifts downstream. Ultimately, the loss of cryospheric storage forces a flashier, precipitation-coupled regime across the network, amplifying high flows but mitigating winter low flows.
Nedal Aqel, Jannis Groh, Lutz Weihermüller, Ralf Gründling, Andrea Carminati, and Peter Lehmann
Hydrol. Earth Syst. Sci., 30, 2523–2542, https://doi.org/10.5194/hess-30-2523-2026, https://doi.org/10.5194/hess-30-2523-2026, 2026
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This study investigates how soils respond to major climatic disturbances, such as the extreme drought in Germany in 2018. Using long-term lysimeter observations and an artificial intelligence model, we show that persistent shifts in soil water dynamics indicate changes in hydraulic properties that may affect soil health, emphasizing the need for continuous monitoring under a changing climate.
Francois Rineau, Alexander H. Frank, Jannis Groh, Kristof Grosjean, Arnaud Legout, Daniil I. Kolokolov, Michel Mench, Maria Moreno-Druet, Benoît Pollier, Virmantas Povilaitis, Johanna Pausch, Thomas Puetz, Tjalling Rooks, Peter Schröder, Wieslaw Szulc, Beata Rutkowska, Xander Swinnen, Sofie Thijs, Harry Vereecken, Janna V. Veselovskaya, Mwahija Zubery, Renaldas Žydelis, and Evelin Loit
Biogeosciences, 23, 2261–2276, https://doi.org/10.5194/bg-23-2261-2026, https://doi.org/10.5194/bg-23-2261-2026, 2026
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Enhanced weathering can significantly slow climate change by capturing CO2 and converting it into stable bicarbonate. In study, this method removed up to 1.5 tons of carbon per hectare in a single growing season. We had however very little evidence of bicarbonate formation. Our findings show that enhanced weathering facilitated instead carbon accrual via not only carbonate precipitation but also enhanced biogeochemical activities promoting additional carbon storage.
Belén Martí, Jannis Groh, Guylaine Canut, and Aaron Boone
Geosci. Model Dev., 19, 1991–2021, https://doi.org/10.5194/gmd-19-1991-2026, https://doi.org/10.5194/gmd-19-1991-2026, 2026
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The characterization of vegetation at two sites proved insufficient to adequately simulate the evapotranspiration. A dry surface layer was implemented in the land surface model SURFEX-ISBA (Externalized Surface-Interactions Soil-Biosphere-Atmosphere) v9.0. It is compared to simulations without a soil resistance. The application to an alfalfa site and a natural grass site in semiarid conditions results in an improvement in the estimation of the latent heat flux. The surface energy budget and the soil and vegetation characteristics are explored in detail.
Wenhong Wang, Shiao Feng, Yonggen Zhang, Zhongwang Wei, Jianzhi Dong, Lutz Weihermüller, Cong-Qiang Liu, and Harry Vereecken
Earth Syst. Sci. Data, 18, 1061–1088, https://doi.org/10.5194/essd-18-1061-2026, https://doi.org/10.5194/essd-18-1061-2026, 2026
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Current soil moisture data often suffers from gaps or errors. We combined the long-term coverage of ERA5-Land with the high accuracy of SMAP (Soil Moisture Active Passive) satellites to create a corrected global moisture dataset spanning 1950–2025. Validated against 3.8 million ground measurements, our product reduces errors by ~ 25 % in the modern period (2015–2020) and maintains ~ 20 % improvement historically (1960–2015). This reliable, daily 75-year record is essential for monitoring long-term climate trends and droughts.
Heye R. Bogena, Frank Herrmann, Andreas Lücke, Thomas Pütz, and Harry Vereecken
Earth Syst. Sci. Data, 17, 6965–6992, https://doi.org/10.5194/essd-17-6965-2025, https://doi.org/10.5194/essd-17-6965-2025, 2025
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The Wüstebach catchment, which is part of the German TERENO (Terrestrial Environmental Observatories) network, was partially deforested in 2013 to promote natural forest regrowth. This data paper provides 16 years of hourly concentrations and fluxes of 11 solutes and runoff rates (2010–2024) from two runoff gauging stations, one affected by deforestation and one not, illustrating forest-management effects on solute transport processes at the catchment scale.
Joschka Neumann, Nicolas Brüggemann, Patrick Chaumet, Normen Hermes, Jan Huwer, Peter Kirchner, Werner Lesmeister, Wilhelm August Mertens, Thomas Pütz, Jörg Wolters, Harry Vereecken, and Ghaleb Natour
Geosci. Instrum. Method. Data Syst., 14, 353–377, https://doi.org/10.5194/gi-14-353-2025, https://doi.org/10.5194/gi-14-353-2025, 2025
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Climate change in combination with a steadily growing world population and a simultaneous decrease in agricultural land is one of the greatest global challenges facing mankind. In this context, Forschungszentrum Jülich established an "agricultural simulator" (AgraSim), which enables research into the effects of climate change on agricultural ecosystems and the optimization of agricultural cultivation and management strategies with the aid of combined experimental and numerical simulation.
Salar Saeed Dogar, Cosimo Brogi, Dave O'Leary, Ixchel M. Hernández-Ochoa, Marco Donat, Harry Vereecken, and Johan Alexander Huisman
SOIL, 11, 655–679, https://doi.org/10.5194/soil-11-655-2025, https://doi.org/10.5194/soil-11-655-2025, 2025
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Farmers need precise information about their fields to use water, fertilizers, and other resources efficiently. This study combines underground soil data and satellite images to create detailed field maps using advanced machine learning. By testing different ways of processing data, we ensured a balanced and accurate approach. The results help farmers manage their land more effectively, leading to better harvests and more sustainable farming practices.
Manuela S. Kaufmann, Anja Klotzsche, Jan van der Kruk, Anke Langen, Harry Vereecken, and Lutz Weihermüller
SOIL, 11, 267–285, https://doi.org/10.5194/soil-11-267-2025, https://doi.org/10.5194/soil-11-267-2025, 2025
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To use fertilizers more effectively, non-invasive geophysical methods can be used to understand nutrient distributions in the soil. We utilize, in a long-term field study, geophysical techniques to study soil properties and conditions under different fertilizer treatments. We compared the geophysical response with soil samples and soil sensor data. In particular, electromagnetic induction and electrical resistivity tomography were effective in monitoring changes in nitrate levels over time.
Bamidele Oloruntoba, Stefan Kollet, Carsten Montzka, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 29, 1659–1683, https://doi.org/10.5194/hess-29-1659-2025, https://doi.org/10.5194/hess-29-1659-2025, 2025
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We studied how soil and weather data affect land model simulations over Africa. By combining soil data processed in different ways with weather data of varying time intervals, we found that weather inputs had a greater impact on water processes than soil data type. However, the way soil data were processed became crucial when paired with high-frequency weather inputs, showing that detailed weather data can improve local and regional predictions of how water moves and interacts with the land.
Paolo Nasta, Günter Blöschl, Heye R. Bogena, Steffen Zacharias, Roland Baatz, Gabriëlle De Lannoy, Karsten H. Jensen, Salvatore Manfreda, Laurent Pfister, Ana M. Tarquis, Ilja van Meerveld, Marc Voltz, Yijian Zeng, William Kustas, Xin Li, Harry Vereecken, and Nunzio Romano
Hydrol. Earth Syst. Sci., 29, 465–483, https://doi.org/10.5194/hess-29-465-2025, https://doi.org/10.5194/hess-29-465-2025, 2025
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The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories to tackle catchment-scale challenges on a global scale. This opinion paper provocatively discusses two endmembers of possible future hydrological observatory (HO) networks for a given hypothesized community budget: a comprehensive set of moderately instrumented observatories or, alternatively, a small number of highly instrumented supersites.
Christian Poppe Terán, Bibi S. Naz, Harry Vereecken, Roland Baatz, Rosie A. Fisher, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 18, 287–317, https://doi.org/10.5194/gmd-18-287-2025, https://doi.org/10.5194/gmd-18-287-2025, 2025
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Carbon and water exchanges between the atmosphere and the land surface contribute to water resource availability and climate change mitigation. Land surface models, like the Community Land Model version 5 (CLM5), simulate these. This study finds that CLM5 and other data sets underestimate the magnitudes of and variability in carbon and water exchanges for the most abundant plant functional types compared to observations. It provides essential insights for further research into these processes.
Annelie Ehrhardt, Jannis Groh, and Horst H. Gerke
Hydrol. Earth Syst. Sci., 29, 313–334, https://doi.org/10.5194/hess-29-313-2025, https://doi.org/10.5194/hess-29-313-2025, 2025
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Soil water storage (SWS) describes the amount of water in the root zone of plants accessible for crop growth. SWS underlies annual cycles with maximum values in winter and minimum values in summer. For a soil that was transferred from a drier to a more humid climate we found that the maximum peak of SWS occurs earlier every year. This can be explained by an earlier start of the vegetation period. It is a first indication that the ability of soils to store water is affected by different climate.
Matevž Vremec, Raoul A. Collenteur, and Steffen Birk
Geosci. Model Dev., 17, 7083–7103, https://doi.org/10.5194/gmd-17-7083-2024, https://doi.org/10.5194/gmd-17-7083-2024, 2024
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Geoscientists commonly use various potential evapotranpiration (PET) formulas for environmental studies, which can be prone to errors and sensitive to climate change. PyEt, a tested and open-source Python package, simplifies the application of 20 PET methods for both time series and gridded data, ensuring accurate and consistent PET estimations suitable for a wide range of environmental applications.
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024, https://doi.org/10.5194/hess-28-4059-2024, 2024
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Gao et al. (2023) question the importance of soil in hydrology, sparking debate. We acknowledge some valid points but critique their broad, unsubstantiated views on soil's role. Our response highlights three key areas: (1) the false divide between ecosystem-centric and soil-centric approaches, (2) the vital yet varied impact of soil properties, and (3) the call for a scale-aware framework. We aim to unify these perspectives, enhancing hydrology's comprehensive understanding.
Tobias Karl David Weber, Lutz Weihermüller, Attila Nemes, Michel Bechtold, Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, Vilim Filipović, Surya Gupta, Tobias L. Hohenbrink, Daniel R. Hirmas, Conrad Jackisch, Quirijn de Jong van Lier, John Koestel, Peter Lehmann, Toby R. Marthews, Budiman Minasny, Holger Pagel, Martine van der Ploeg, Shahab Aldin Shojaeezadeh, Simon Fiil Svane, Brigitta Szabó, Harry Vereecken, Anne Verhoef, Michael Young, Yijian Zeng, Yonggen Zhang, and Sara Bonetti
Hydrol. Earth Syst. Sci., 28, 3391–3433, https://doi.org/10.5194/hess-28-3391-2024, https://doi.org/10.5194/hess-28-3391-2024, 2024
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Pedotransfer functions (PTFs) are used to predict parameters of models describing the hydraulic properties of soils. The appropriateness of these predictions critically relies on the nature of the datasets for training the PTFs and the physical comprehensiveness of the models. This roadmap paper is addressed to PTF developers and users and critically reflects the utility and future of PTFs. To this end, we present a manifesto aiming at a paradigm shift in PTF research.
Sinikka J. Paulus, Rene Orth, Sung-Ching Lee, Anke Hildebrandt, Martin Jung, Jacob A. Nelson, Tarek Sebastian El-Madany, Arnaud Carrara, Gerardo Moreno, Matthias Mauder, Jannis Groh, Alexander Graf, Markus Reichstein, and Mirco Migliavacca
Biogeosciences, 21, 2051–2085, https://doi.org/10.5194/bg-21-2051-2024, https://doi.org/10.5194/bg-21-2051-2024, 2024
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Porous materials are known to reversibly trap water from the air, even at low humidity. However, this behavior is poorly understood for soils. In this analysis, we test whether eddy covariance is able to measure the so-called adsorption of atmospheric water vapor by soils. We find that this flux occurs frequently during dry nights in a Mediterranean ecosystem, while EC detects downwardly directed vapor fluxes. These results can help to map moisture uptake globally.
Lukas Strebel, Heye Bogena, Harry Vereecken, Mie Andreasen, Sergio Aranda-Barranco, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 28, 1001–1026, https://doi.org/10.5194/hess-28-1001-2024, https://doi.org/10.5194/hess-28-1001-2024, 2024
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We present results from using soil water content measurements from 13 European forest sites in a state-of-the-art land surface model. We use data assimilation to perform a combination of observed and modeled soil water content and show the improvements in the representation of soil water content. However, we also look at the impact on evapotranspiration and see no corresponding improvements.
Denise Degen, Daniel Caviedes Voullième, Susanne Buiter, Harrie-Jan Hendricks Franssen, Harry Vereecken, Ana González-Nicolás, and Florian Wellmann
Geosci. Model Dev., 16, 7375–7409, https://doi.org/10.5194/gmd-16-7375-2023, https://doi.org/10.5194/gmd-16-7375-2023, 2023
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In geosciences, we often use simulations based on physical laws. These simulations can be computationally expensive, which is a problem if simulations must be performed many times (e.g., to add error bounds). We show how a novel machine learning method helps to reduce simulation time. In comparison to other approaches, which typically only look at the output of a simulation, the method considers physical laws in the simulation itself. The method provides reliable results faster than standard.
Tobias Schnepper, Jannis Groh, Horst H. Gerke, Barbara Reichert, and Thomas Pütz
Hydrol. Earth Syst. Sci., 27, 3265–3292, https://doi.org/10.5194/hess-27-3265-2023, https://doi.org/10.5194/hess-27-3265-2023, 2023
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We compared hourly data from precipitation gauges with lysimeter reference data at three sites under different climatic conditions. Our results show that precipitation gauges recorded 33–96 % of the reference precipitation data for the period under consideration (2015–2018). Correction algorithms increased the registered precipitation by 9–14 %. It follows that when using point precipitation data, regardless of the precipitation measurement method used, relevant uncertainties must be considered.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Matevž Vremec, Raoul A. Collenteur, and Steffen Birk
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-417, https://doi.org/10.5194/hess-2022-417, 2023
Manuscript not accepted for further review
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This paper introduced PyEt, a Python package for the estimation of daily potential evapotranspiration (PET). The package enables the inclusion of model uncertainty and climate change into the estimation of PET in a consistent, tested, and reproducible environment. With PyEt, users can estimate PET using 20 different methods for both 1D and 3D data, allowing a more sophisticated and comprehensive consideration of PET in hydrological studies, particularly those related to climate change.
Jordan Bates, Francois Jonard, Rajina Bajracharya, Harry Vereecken, and Carsten Montzka
AGILE GIScience Ser., 3, 23, https://doi.org/10.5194/agile-giss-3-23-2022, https://doi.org/10.5194/agile-giss-3-23-2022, 2022
Maik Heistermann, Heye Bogena, Till Francke, Andreas Güntner, Jannis Jakobi, Daniel Rasche, Martin Schrön, Veronika Döpper, Benjamin Fersch, Jannis Groh, Amol Patil, Thomas Pütz, Marvin Reich, Steffen Zacharias, Carmen Zengerle, and Sascha Oswald
Earth Syst. Sci. Data, 14, 2501–2519, https://doi.org/10.5194/essd-14-2501-2022, https://doi.org/10.5194/essd-14-2501-2022, 2022
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This paper presents a dense network of cosmic-ray neutron sensing (CRNS) to measure spatio-temporal soil moisture patterns during a 2-month campaign in the Wüstebach headwater catchment in Germany. Stationary, mobile, and airborne CRNS technology monitored the root-zone water dynamics as well as spatial heterogeneity in the 0.4 km2 area. The 15 CRNS stations were supported by a hydrogravimeter, biomass sampling, and a wireless soil sensor network to facilitate holistic hydrological analysis.
Wei Qu, Heye Bogena, Christoph Schüth, Harry Vereecken, Zongmei Li, and Stephan Schulz
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-131, https://doi.org/10.5194/gmd-2022-131, 2022
Publication in GMD not foreseen
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We applied the global sensitivity analysis LH-OAT to the integrated hydrology model ParFlow-CLM to investigate the sensitivity of the 12 parameters for different scenarios. And we found that the general patterns of the parameter sensitivities were consistent, however, for some parameters a significantly larger span of the sensitivities was observed, especially for the higher slope and in subarctic climatic scenarios.
Nicholas Jarvis, Jannis Groh, Elisabet Lewan, Katharina H. E. Meurer, Walter Durka, Cornelia Baessler, Thomas Pütz, Elvin Rufullayev, and Harry Vereecken
Hydrol. Earth Syst. Sci., 26, 2277–2299, https://doi.org/10.5194/hess-26-2277-2022, https://doi.org/10.5194/hess-26-2277-2022, 2022
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We apply an eco-hydrological model to data on soil water balance and grassland growth obtained at two sites with contrasting climates. Our results show that the grassland in the drier climate had adapted by developing deeper roots, which maintained water supply to the plants in the face of severe drought. Our study emphasizes the importance of considering such plastic responses of plant traits to environmental stress in the modelling of soil water balance and plant growth under climate change.
Heye Reemt Bogena, Martin Schrön, Jannis Jakobi, Patrizia Ney, Steffen Zacharias, Mie Andreasen, Roland Baatz, David Boorman, Mustafa Berk Duygu, Miguel Angel Eguibar-Galán, Benjamin Fersch, Till Franke, Josie Geris, María González Sanchis, Yann Kerr, Tobias Korf, Zalalem Mengistu, Arnaud Mialon, Paolo Nasta, Jerzy Nitychoruk, Vassilios Pisinaras, Daniel Rasche, Rafael Rosolem, Hami Said, Paul Schattan, Marek Zreda, Stefan Achleitner, Eduardo Albentosa-Hernández, Zuhal Akyürek, Theresa Blume, Antonio del Campo, Davide Canone, Katya Dimitrova-Petrova, John G. Evans, Stefano Ferraris, Félix Frances, Davide Gisolo, Andreas Güntner, Frank Herrmann, Joost Iwema, Karsten H. Jensen, Harald Kunstmann, Antonio Lidón, Majken Caroline Looms, Sascha Oswald, Andreas Panagopoulos, Amol Patil, Daniel Power, Corinna Rebmann, Nunzio Romano, Lena Scheiffele, Sonia Seneviratne, Georg Weltin, and Harry Vereecken
Earth Syst. Sci. Data, 14, 1125–1151, https://doi.org/10.5194/essd-14-1125-2022, https://doi.org/10.5194/essd-14-1125-2022, 2022
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Monitoring of increasingly frequent droughts is a prerequisite for climate adaptation strategies. This data paper presents long-term soil moisture measurements recorded by 66 cosmic-ray neutron sensors (CRNS) operated by 24 institutions and distributed across major climate zones in Europe. Data processing followed harmonized protocols and state-of-the-art methods to generate consistent and comparable soil moisture products and to facilitate continental-scale analysis of hydrological extremes.
Lukas Strebel, Heye R. Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 15, 395–411, https://doi.org/10.5194/gmd-15-395-2022, https://doi.org/10.5194/gmd-15-395-2022, 2022
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We present the technical coupling between a land surface model (CLM5) and the Parallel Data Assimilation Framework (PDAF). This coupling enables measurement data to update simulated model states and parameters in a statistically optimal way. We demonstrate the viability of the model framework using an application in a forested catchment where the inclusion of soil water measurements significantly improved the simulation quality.
Yafei Huang, Jonas Weis, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-569, https://doi.org/10.5194/hess-2021-569, 2021
Manuscript not accepted for further review
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Trends in agricultural droughts cannot be easily deduced from measurements. Here trends in agricultural droughts over 31 German and Dutch sites were calculated with model simulations and long-term observed meteorological data as input. We found that agricultural droughts are increasing although precipitation hardly decreases. The increase is driven by increase in evapotranspiration. The year 2018 was for half of the sites the year with the most extreme agricultural drought in the last 55 years.
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Short summary
Lysimeter-based manipulative and observational experiments were used to identify responses of water fluxes and aboveground biomass (AGB) to climatic change in permanent grassland. Under energy-limited conditions, elevated temperature actual evapotranspiration (ETa) increased, while seepage, dew, and AGB decreased. Elevated CO2 mitigated the effect on ETa. Under water limitation, elevated temperature resulted in reduced ETa, and AGB was negatively correlated with an increasing aridity.
Lysimeter-based manipulative and observational experiments were used to identify responses of...
