Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4659-2020
© Author(s) 2020. 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-24-4659-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Sep 2020
Research article |
| 25 Sep 2020
| 25 Sep 2020
Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas
Jie Tian
Key Laboratory of Western China's Environmental Systems (Ministry of
Education), College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou, Gansu 730000, China
Agrosphere Institute (IBG-3), Forschungszentrum Jülich, 52425
Jülich, Germany
Zhibo Han
Key Laboratory of Western China's Environmental Systems (Ministry of
Education), College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou, Gansu 730000, China
Heye Reemt Bogena
Agrosphere Institute (IBG-3), Forschungszentrum Jülich, 52425
Jülich, Germany
Johan Alexander Huisman
Agrosphere Institute (IBG-3), Forschungszentrum Jülich, 52425
Jülich, Germany
Carsten Montzka
Agrosphere Institute (IBG-3), Forschungszentrum Jülich, 52425
Jülich, Germany
Baoqing Zhang
CORRESPONDING AUTHOR
Key Laboratory of Western China's Environmental Systems (Ministry of
Education), College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou, Gansu 730000, China
Chansheng He
CORRESPONDING AUTHOR
Key Laboratory of Western China's Environmental Systems (Ministry of
Education), College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou, Gansu 730000, China
Department of Geography, Western Michigan University, Kalamazoo, MI
49008, USA
Related authors
Jie Tian, Baoqing Zhang, Xuejin Wang, and Chansheng He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-21, https://doi.org/10.5194/essd-2022-21, 2022
Preprint withdrawn
Short summary
Short summary
Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture (SM) stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we compiled a soil hydraulic properties (SHP) and SM dataset for a mountainous area, Northeastern QTP. The dataset provides information about SHP variability and SM trends at a large-scale mountainous area, thus offers opportunity for further understanding of water and energy processes over the QTP.
Roland Baatz, Patrick Davies, Paolo Nasta, and Heye Bogena
EGUsphere, https://doi.org/10.5194/egusphere-2024-3108, https://doi.org/10.5194/egusphere-2024-3108, 2024
Short summary
Short summary
This study develops a new method to improve soil moisture measurements from cosmic ray neutron sensors. Using advanced modeling, we account for changes in atmospheric pressure, air humidity, and cosmic ray intensity based on site and sensor characteristics. The results show that precise adjustments are needed to better measure soil moisture, supporting improved decisions in farming, water management, and climate monitoring.
Anke Fluhrer, Martin Baur, María Piles, Bagher Bayat, Mehdi Rahmati, David Chaparro, Clémence Dubois, Florian Hellwig, Carsten Montzka, Angelika Kübert, Marlin Mueller, Isabel Augscheller, Francois Jonard, Konstantin Schellenberg, and Thomas Jagdhuber
EGUsphere, https://doi.org/10.5194/egusphere-2024-3386, https://doi.org/10.5194/egusphere-2024-3386, 2024
Short summary
Short summary
This study compares established evapotranspiration products in Central Europe and evaluates their multi-seasonal performance during wet & drought phases between 2017–2020 together with important soil-plant-atmosphere drivers. Results show that SEVIRI, ERA5-land & GLEAM perform best compared to ICOS measurements. During moisture limited drought years, ET is decreasing due to decreasing soil moisture and increasing vapor pressure deficit, while in other years ET is mainly controlled by VPD.
Solomon Ehosioke, Sarah Garre, Johan Alexander Huisman, Egon Zimmermann, Mathieu Javaux, and Frederic Nguyen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2628, https://doi.org/10.5194/egusphere-2024-2628, 2024
Short summary
Short summary
We investigated the electrical properties of the primary roots of Brachypodium and Maize plants during the uptake of fresh and saline water using SIP measurements in a frequency range from 1 Hz to 45 kHz. Our results indicate that salinity tolerance varies with the species, and that Maize is more tolerant to salinity than Brachypodium.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-1678, https://doi.org/10.5194/egusphere-2024-1678, 2024
Short summary
Short summary
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 end members 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 super-sites.
Weibin Zhang, Xining Zhao, Xuerui Gao, Wei Liang, Junyi Li, and Baoqing Zhang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-88, https://doi.org/10.5194/hess-2024-88, 2024
Revised manuscript under review for HESS
Short summary
Short summary
An integrated framework was applied in the Yellow River basin to assess the water crisis. Results indicate worsening water scarcity during 1965‒2013, driven by irrigation and climate changes. Local water yield and upstream flows are key drivers of sub-basin water availability. To reduce the water deficit of 10 km3 by 2030s, enhancing irrigation efficiency and water transfer project are crucial, emphasizing the imperative of combining supply and demand-oriented measures to solve the water crisis.
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
Short summary
Short summary
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.
Bamidele Joseph Oloruntoba, Stefan Kollet, Carsten Montzka, Harry Vereecken, and Harrie-Jan Hendricks Franssen
EGUsphere, https://doi.org/10.5194/egusphere-2023-3132, https://doi.org/10.5194/egusphere-2023-3132, 2024
Short summary
Short summary
This study uses simulations to understand how the soil information across Africa affects the water balance, using 4 soil databases and 3 different rainfall datasets. Results show that the soil information impacts water balance estimates, especially with a higher rate of rainfall.
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
Short summary
Short summary
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.
Tanja Denager, Torben O. Sonnenborg, Majken C. Looms, Heye Bogena, and Karsten H. Jensen
Hydrol. Earth Syst. Sci., 27, 2827–2845, https://doi.org/10.5194/hess-27-2827-2023, https://doi.org/10.5194/hess-27-2827-2023, 2023
Short summary
Short summary
This study contributes to improvements in the model characterization of water and energy fluxes. The results show that multi-objective autocalibration in combination with mathematical regularization is a powerful tool to improve land surface models. Using the direct measurement of turbulent fluxes as the target variable, parameter optimization matches simulations and observations of latent heat, whereas sensible heat is clearly biased.
Thomas Hermans, Pascal Goderniaux, Damien Jougnot, Jan H. Fleckenstein, Philip Brunner, Frédéric Nguyen, Niklas Linde, Johan Alexander Huisman, Olivier Bour, Jorge Lopez Alvis, Richard Hoffmann, Andrea Palacios, Anne-Karin Cooke, Álvaro Pardo-Álvarez, Lara Blazevic, Behzad Pouladi, Peleg Haruzi, Alejandro Fernandez Visentini, Guilherme E. H. Nogueira, Joel Tirado-Conde, Majken C. Looms, Meruyert Kenshilikova, Philippe Davy, and Tanguy Le Borgne
Hydrol. Earth Syst. Sci., 27, 255–287, https://doi.org/10.5194/hess-27-255-2023, https://doi.org/10.5194/hess-27-255-2023, 2023
Short summary
Short summary
Although invisible, groundwater plays an essential role for society as a source of drinking water or for ecosystems but is also facing important challenges in terms of contamination. Characterizing groundwater reservoirs with their spatial heterogeneity and their temporal evolution is therefore crucial for their sustainable management. In this paper, we review some important challenges and recent innovations in imaging and modeling the 4D nature of the hydrogeological systems.
Cosimo Brogi, Heye Reemt Bogena, Markus Köhli, Johan Alexander Huisman, Harrie-Jan Hendricks Franssen, and Olga Dombrowski
Geosci. Instrum. Method. Data Syst., 11, 451–469, https://doi.org/10.5194/gi-11-451-2022, https://doi.org/10.5194/gi-11-451-2022, 2022
Short summary
Short summary
Accurate monitoring of water in soil can improve irrigation efficiency, which is important considering climate change and the growing world population. Cosmic-ray neutrons sensors (CRNSs) are a promising tool in irrigation monitoring due to a larger sensed area and to lower maintenance than other ground-based sensors. Here, we analyse the feasibility of irrigation monitoring with CRNSs and the impact of the irrigated field dimensions, of the variations of water in soil, and of instrument design.
Maximilian Weigand, Egon Zimmermann, Valentin Michels, Johan Alexander Huisman, and Andreas Kemna
Geosci. Instrum. Method. Data Syst., 11, 413–433, https://doi.org/10.5194/gi-11-413-2022, https://doi.org/10.5194/gi-11-413-2022, 2022
Short summary
Short summary
The construction, operation and analysis of a spectral electrical
impedance tomography (sEIT) field monitoring setup with high spatial and temporal resolution are presented. Electromagnetic induction errors are corrected, allowing the recovery of images of in-phase conductivity and electrical polarisation of up to 1 kHz.
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
Short summary
Short summary
In this paper, we deliver an evaluation of the second generation operational German drought monitor (https://www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Olga Dombrowski, Cosimo Brogi, Harrie-Jan Hendricks Franssen, Damiano Zanotelli, and Heye Bogena
Geosci. Model Dev., 15, 5167–5193, https://doi.org/10.5194/gmd-15-5167-2022, https://doi.org/10.5194/gmd-15-5167-2022, 2022
Short summary
Short summary
Soil carbon storage and food production of fruit orchards will be influenced by climate change. However, they lack representation in models that study such processes. We developed and tested a new sub-model, CLM5-FruitTree, that describes growth, biomass distribution, and management practices in orchards. The model satisfactorily predicted yield and exchange of carbon, energy, and water in an apple orchard and can be used to study land surface processes in fruit orchards at different scales.
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
Short summary
Short summary
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
Short summary
Short summary
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.
Lei Tian, Baoqing Zhang, and Pute Wu
Earth Syst. Sci. Data, 14, 2259–2278, https://doi.org/10.5194/essd-14-2259-2022, https://doi.org/10.5194/essd-14-2259-2022, 2022
Short summary
Short summary
We propose a global monthly drought dataset with a resolution of 0.25° from 1948 to 2010 based on a multitype and multiscalar drought index, the standardized moisture anomaly index adding snow processes (SZIsnow). The consideration of snow processes improved its capability, and the improvement is prominent over snow-covered high-latitude and high-altitude areas. This new dataset is well suited to monitoring, assessing, and characterizing drought and is a valuable resource for drought studies.
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
Short summary
Short summary
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.
Jie Tian, Baoqing Zhang, Xuejin Wang, and Chansheng He
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-21, https://doi.org/10.5194/essd-2022-21, 2022
Preprint withdrawn
Short summary
Short summary
Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture (SM) stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we compiled a soil hydraulic properties (SHP) and SM dataset for a mountainous area, Northeastern QTP. The dataset provides information about SHP variability and SM trends at a large-scale mountainous area, thus offers opportunity for further understanding of water and energy processes over the QTP.
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
Short summary
Short summary
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.
Wouter Dorigo, Irene Himmelbauer, Daniel Aberer, Lukas Schremmer, Ivana Petrakovic, Luca Zappa, Wolfgang Preimesberger, Angelika Xaver, Frank Annor, Jonas Ardö, Dennis Baldocchi, Marco Bitelli, Günter Blöschl, Heye Bogena, Luca Brocca, Jean-Christophe Calvet, J. Julio Camarero, Giorgio Capello, Minha Choi, Michael C. Cosh, Nick van de Giesen, Istvan Hajdu, Jaakko Ikonen, Karsten H. Jensen, Kasturi Devi Kanniah, Ileen de Kat, Gottfried Kirchengast, Pankaj Kumar Rai, Jenni Kyrouac, Kristine Larson, Suxia Liu, Alexander Loew, Mahta Moghaddam, José Martínez Fernández, Cristian Mattar Bader, Renato Morbidelli, Jan P. Musial, Elise Osenga, Michael A. Palecki, Thierry Pellarin, George P. Petropoulos, Isabella Pfeil, Jarrett Powers, Alan Robock, Christoph Rüdiger, Udo Rummel, Michael Strobel, Zhongbo Su, Ryan Sullivan, Torbern Tagesson, Andrej Varlagin, Mariette Vreugdenhil, Jeffrey Walker, Jun Wen, Fred Wenger, Jean Pierre Wigneron, Mel Woods, Kun Yang, Yijian Zeng, Xiang Zhang, Marek Zreda, Stephan Dietrich, Alexander Gruber, Peter van Oevelen, Wolfgang Wagner, Klaus Scipal, Matthias Drusch, and Roberto Sabia
Hydrol. Earth Syst. Sci., 25, 5749–5804, https://doi.org/10.5194/hess-25-5749-2021, https://doi.org/10.5194/hess-25-5749-2021, 2021
Short summary
Short summary
The International Soil Moisture Network (ISMN) is a community-based open-access data portal for soil water measurements taken at the ground and is accessible at https://ismn.earth. Over 1000 scientific publications and thousands of users have made use of the ISMN. The scope of this paper is to inform readers about the data and functionality of the ISMN and to provide a review of the scientific progress facilitated through the ISMN with the scope to shape future research and operations.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
Short summary
Short summary
Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Yueling Ma, Carsten Montzka, Bagher Bayat, and Stefan Kollet
Hydrol. Earth Syst. Sci., 25, 3555–3575, https://doi.org/10.5194/hess-25-3555-2021, https://doi.org/10.5194/hess-25-3555-2021, 2021
Short summary
Short summary
This study utilized spatiotemporally continuous precipitation anomaly (pra) and water table depth anomaly (wtda) data from integrated hydrologic simulation results over Europe in combination with Long Short-Term Memory (LSTM) networks to capture the time-varying and time-lagged relationship between pra and wtda in order to obtain reliable models to estimate wtda at the individual pixel level.
Cosimo Brogi, Johan A. Huisman, Lutz Weihermüller, Michael Herbst, and Harry Vereecken
SOIL, 7, 125–143, https://doi.org/10.5194/soil-7-125-2021, https://doi.org/10.5194/soil-7-125-2021, 2021
Short summary
Short summary
There is a need in agriculture for detailed soil maps that carry quantitative information. Geophysics-based soil maps have the potential to deliver such products, but their added value has not been fully investigated yet. In this study, we compare the use of a geophysics-based soil map with the use of two commonly available maps as input for crop growth simulations. The geophysics-based product results in better simulations, with improvements that depend on precipitation, soil, and crop type.
Theresa Boas, Heye Bogena, Thomas Grünwald, Bernard Heinesch, Dongryeol Ryu, Marius Schmidt, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 14, 573–601, https://doi.org/10.5194/gmd-14-573-2021, https://doi.org/10.5194/gmd-14-573-2021, 2021
Short summary
Short summary
In this study we were able to significantly improve CLM5 model performance for European cropland sites by adding a winter wheat representation, specific plant parameterizations for important cash crops, and a cover-cropping and crop rotation subroutine to its crop module. Our modifications should be applied in future studies of CLM5 to improve regional yield predictions and to better understand large-scale impacts of agricultural management on carbon, water, and energy fluxes.
Benjamin Fersch, Till Francke, Maik Heistermann, Martin Schrön, Veronika Döpper, Jannis Jakobi, Gabriele Baroni, Theresa Blume, Heye Bogena, Christian Budach, Tobias Gränzig, Michael Förster, Andreas Güntner, Harrie-Jan Hendricks Franssen, Mandy Kasner, Markus Köhli, Birgit Kleinschmit, Harald Kunstmann, Amol Patil, Daniel Rasche, Lena Scheiffele, Ulrich Schmidt, Sandra Szulc-Seyfried, Jannis Weimar, Steffen Zacharias, Marek Zreda, Bernd Heber, Ralf Kiese, Vladimir Mares, Hannes Mollenhauer, Ingo Völksch, and Sascha Oswald
Earth Syst. Sci. Data, 12, 2289–2309, https://doi.org/10.5194/essd-12-2289-2020, https://doi.org/10.5194/essd-12-2289-2020, 2020
Michael Paul Stockinger, Heye Reemt Bogena, Andreas Lücke, Christine Stumpp, and Harry Vereecken
Hydrol. Earth Syst. Sci., 23, 4333–4347, https://doi.org/10.5194/hess-23-4333-2019, https://doi.org/10.5194/hess-23-4333-2019, 2019
Short summary
Short summary
Precipitation moves through the soil to become stream water. The fraction of precipitation that becomes stream water after 3 months (Fyw) can be calculated with the stable isotopes of water. Previously, this was done for all the isotope data available, e.g., for several years. We used 1 year of data to calculate Fyw and moved this calculation time window over the time series. Results highlight that Fyw varies in time. Comparison studies of different regions should take this into account.
Bibi S. Naz, Wolfgang Kurtz, Carsten Montzka, Wendy Sharples, Klaus Goergen, Jessica Keune, Huilin Gao, Anne Springer, Harrie-Jan Hendricks Franssen, and Stefan Kollet
Hydrol. Earth Syst. Sci., 23, 277–301, https://doi.org/10.5194/hess-23-277-2019, https://doi.org/10.5194/hess-23-277-2019, 2019
Short summary
Short summary
This study investigates the value of assimilating coarse-resolution remotely sensed soil moisture data into high-resolution land surface models for improving soil moisture and runoff modeling. The soil moisture estimates in this study, with complete spatio-temporal coverage and improved spatial resolution from the assimilation, offer a new reanalysis product for the monitoring of surface soil water content and other hydrological fluxes at 3 km resolution over Europe.
Mehdi Rahmati, Lutz Weihermüller, Jan Vanderborght, Yakov A. Pachepsky, Lili Mao, Seyed Hamidreza Sadeghi, Niloofar Moosavi, Hossein Kheirfam, Carsten Montzka, Kris Van Looy, Brigitta Toth, Zeinab Hazbavi, Wafa Al Yamani, Ammar A. Albalasmeh, Ma'in Z. Alghzawi, Rafael Angulo-Jaramillo, Antônio Celso Dantas Antonino, George Arampatzis, Robson André Armindo, Hossein Asadi, Yazidhi Bamutaze, Jordi Batlle-Aguilar, Béatrice Béchet, Fabian Becker, Günter Blöschl, Klaus Bohne, Isabelle Braud, Clara Castellano, Artemi Cerdà, Maha Chalhoub, Rogerio Cichota, Milena Císlerová, Brent Clothier, Yves Coquet, Wim Cornelis, Corrado Corradini, Artur Paiva Coutinho, Muriel Bastista de Oliveira, José Ronaldo de Macedo, Matheus Fonseca Durães, Hojat Emami, Iraj Eskandari, Asghar Farajnia, Alessia Flammini, Nándor Fodor, Mamoun Gharaibeh, Mohamad Hossein Ghavimipanah, Teamrat A. Ghezzehei, Simone Giertz, Evangelos G. Hatzigiannakis, Rainer Horn, Juan José Jiménez, Diederik Jacques, Saskia Deborah Keesstra, Hamid Kelishadi, Mahboobeh Kiani-Harchegani, Mehdi Kouselou, Madan Kumar Jha, Laurent Lassabatere, Xiaoyan Li, Mark A. Liebig, Lubomír Lichner, María Victoria López, Deepesh Machiwal, Dirk Mallants, Micael Stolben Mallmann, Jean Dalmo de Oliveira Marques, Miles R. Marshall, Jan Mertens, Félicien Meunier, Mohammad Hossein Mohammadi, Binayak P. Mohanty, Mansonia Pulido-Moncada, Suzana Montenegro, Renato Morbidelli, David Moret-Fernández, Ali Akbar Moosavi, Mohammad Reza Mosaddeghi, Seyed Bahman Mousavi, Hasan Mozaffari, Kamal Nabiollahi, Mohammad Reza Neyshabouri, Marta Vasconcelos Ottoni, Theophilo Benedicto Ottoni Filho, Mohammad Reza Pahlavan-Rad, Andreas Panagopoulos, Stephan Peth, Pierre-Emmanuel Peyneau, Tommaso Picciafuoco, Jean Poesen, Manuel Pulido, Dalvan José Reinert, Sabine Reinsch, Meisam Rezaei, Francis Parry Roberts, David Robinson, Jesús Rodrigo-Comino, Otto Corrêa Rotunno Filho, Tadaomi Saito, Hideki Suganuma, Carla Saltalippi, Renáta Sándor, Brigitta Schütt, Manuel Seeger, Nasrollah Sepehrnia, Ehsan Sharifi Moghaddam, Manoj Shukla, Shiraki Shutaro, Ricardo Sorando, Ajayi Asishana Stanley, Peter Strauss, Zhongbo Su, Ruhollah Taghizadeh-Mehrjardi, Encarnación Taguas, Wenceslau Geraldes Teixeira, Ali Reza Vaezi, Mehdi Vafakhah, Tomas Vogel, Iris Vogeler, Jana Votrubova, Steffen Werner, Thierry Winarski, Deniz Yilmaz, Michael H. Young, Steffen Zacharias, Yijian Zeng, Ying Zhao, Hong Zhao, and Harry Vereecken
Earth Syst. Sci. Data, 10, 1237–1263, https://doi.org/10.5194/essd-10-1237-2018, https://doi.org/10.5194/essd-10-1237-2018, 2018
Short summary
Short summary
This paper presents and analyzes a global database of soil infiltration data, the SWIG database, for the first time. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists or they were digitized from published articles. We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models.
Hanna Post, Harrie-Jan Hendricks Franssen, Xujun Han, Roland Baatz, Carsten Montzka, Marius Schmidt, and Harry Vereecken
Biogeosciences, 15, 187–208, https://doi.org/10.5194/bg-15-187-2018, https://doi.org/10.5194/bg-15-187-2018, 2018
Short summary
Short summary
Estimated values of selected key CLM4.5-BGC parameters obtained with the Markov chain Monte Carlo (MCMC) approach DREAM(zs) strongly altered catchment-scale NEE predictions in comparison to global default parameter values. The effect of perturbed meteorological input data on the uncertainty of the predicted carbon fluxes was notably higher for C3-grass and C3-crop than for coniferous and deciduous forest. A future distinction of different crop types including management is considered essential.
Dominik Rains, Xujun Han, Hans Lievens, Carsten Montzka, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 21, 5929–5951, https://doi.org/10.5194/hess-21-5929-2017, https://doi.org/10.5194/hess-21-5929-2017, 2017
Short summary
Short summary
We have assimilated 6 years of satellite-observed passive microwave data into a state-of-the-art land surface model to improve surface soil moisture as well as root-zone soil moisture simulations. Long-term assimilation effects/biases are identified, and they are especially dependent on model perturbations, applied to simulate model uncertainty. The implications are put into context of using such assimilation-improved data for classifying extremes within hydrological monitoring systems.
Martin Schrön, Markus Köhli, Lena Scheiffele, Joost Iwema, Heye R. Bogena, Ling Lv, Edoardo Martini, Gabriele Baroni, Rafael Rosolem, Jannis Weimar, Juliane Mai, Matthias Cuntz, Corinna Rebmann, Sascha E. Oswald, Peter Dietrich, Ulrich Schmidt, and Steffen Zacharias
Hydrol. Earth Syst. Sci., 21, 5009–5030, https://doi.org/10.5194/hess-21-5009-2017, https://doi.org/10.5194/hess-21-5009-2017, 2017
Short summary
Short summary
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.
Carsten Montzka, Michael Herbst, Lutz Weihermüller, Anne Verhoef, and Harry Vereecken
Earth Syst. Sci. Data, 9, 529–543, https://doi.org/10.5194/essd-9-529-2017, https://doi.org/10.5194/essd-9-529-2017, 2017
Short summary
Short summary
Global climate models require adequate parameterization of soil hydraulic properties, but typical resampling to the model grid introduces uncertainties. Here we present a method to scale hydraulic parameters to individual model grids and provide a global data set that overcomes the problems. It preserves the information of sub-grid variability of the water retention curve by deriving local scaling parameters that enables modellers to perturb hydraulic parameters for model ensemble generation.
Roland Baatz, Harrie-Jan Hendricks Franssen, Xujun Han, Tim Hoar, Heye Reemt Bogena, and Harry Vereecken
Hydrol. Earth Syst. Sci., 21, 2509–2530, https://doi.org/10.5194/hess-21-2509-2017, https://doi.org/10.5194/hess-21-2509-2017, 2017
Short summary
Short summary
Soil moisture is a major variable that affects regional climate, weather and hydrologic processes on the Earth's surface. In this study, real-world data of a network of cosmic-ray sensors were assimilated into a regional land surface model to improve model states and soil hydraulic parameters. The results show the potential of these networks for improving model states and parameters. It is suggested to widen the number of observed variables and to increase the number of estimated parameters.
Mie Andreasen, Karsten H. Jensen, Darin Desilets, Marek Zreda, Heye R. Bogena, and Majken C. Looms
Hydrol. Earth Syst. Sci., 21, 1875–1894, https://doi.org/10.5194/hess-21-1875-2017, https://doi.org/10.5194/hess-21-1875-2017, 2017
Short summary
Short summary
The cosmic-ray method holds a potential for quantifying canopy interception and biomass. We use measurements and modeling of thermal and epithermal neutron intensity in a forest to examine this potential. Canopy interception is a variable important to forest hydrology, yet difficult to monitor remotely. Forest growth impacts the carbon-cycle and can be used to mitigate climate changes by carbon sequestration in biomass. An efficient method to monitor tree growth is therefore of high relevance.
Wei Qu, Heye R. Bogena, Johan A. Huisman, Marius Schmidt, Ralf Kunkel, Ansgar Weuthen, Henning Schiedung, Bernd Schilling, Jürgen Sorg, and Harry Vereecken
Earth Syst. Sci. Data, 8, 517–529, https://doi.org/10.5194/essd-8-517-2016, https://doi.org/10.5194/essd-8-517-2016, 2016
Short summary
Short summary
The Rollesbroich catchment is a hydrological observatory of the TERENO (Terrestrial Environmental Observatories) initiative. Hydrometeorological data and spatiotemporal variations in soil water content are measured at high temporal resolution and can be used for many purposes, e.g. validation of remote sensing retrievals, improving hydrological understanding, optimizing data assimilation and inverse modelling techniques. The data set is freely available online (http://www.tereno.net).
X. Han, X. Li, G. He, P. Kumbhar, C. Montzka, S. Kollet, T. Miyoshi, R. Rosolem, Y. Zhang, H. Vereecken, and H.-J. H. Franssen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmdd-8-7395-2015, https://doi.org/10.5194/gmdd-8-7395-2015, 2015
Revised manuscript not accepted
Short summary
Short summary
DasPy is a ready to use open source parallel multivariate land data assimilation framework with joint state and parameter estimation using Local Ensemble Transform Kalman Filter. The Community Land Model (4.5) was integrated as model operator. The Community Microwave Emission Modelling platform, COsmic-ray Soil Moisture Interaction Code and the Two-Source Formulation were integrated as observation operators for the multivariate assimilation of soil moisture and soil temperature, respectively.
J. Iwema, R. Rosolem, R. Baatz, T. Wagener, and H. R. Bogena
Hydrol. Earth Syst. Sci., 19, 3203–3216, https://doi.org/10.5194/hess-19-3203-2015, https://doi.org/10.5194/hess-19-3203-2015, 2015
Short summary
Short summary
The cosmic-ray neutron sensor can provide soil moisture content averages over areas of roughly half a kilometre by half a kilometre. Although this sensor is usually calibrated using soil samples taken on a single day, we found that multiple sampling days are needed. The calibration results were also affected by the soil wetness conditions of the sampling days. The outcome of this study will help researchers to calibrate/validate new cosmic-ray neutron sensor sites more accurately.
Y. D. Xu, B. J. Fu, and C. S. He
Hydrol. Earth Syst. Sci., 17, 2185–2193, https://doi.org/10.5194/hess-17-2185-2013, https://doi.org/10.5194/hess-17-2185-2013, 2013
Related subject area
Subject: Vadose Zone Hydrology | Techniques and Approaches: Instruments and observation techniques
High-resolution operational soil moisture monitoring for forests in central Germany
Technical Note: Revisiting the general calibration of cosmic-ray neutron sensors to estimate soil water content
Effects of changes in climatic conditions on soil water storage patterns
Coupled hydrogeophysical inversion of an artificial infiltration experiment monitored with ground-penetrating radar: synthetic demonstration
Technical note: Discrete in situ vapor sampling for subsequent lab-based water stable isotope analysis
A change in perspective: downhole cosmic-ray neutron sensing for the estimation of soil moisture
Impacts of soil management and climate on saturated and near-saturated hydraulic conductivity: analyses of the Open Tension-disk Infiltrometer Meta-database (OTIM)
Physics-informed machine learning for understanding rock moisture dynamics in a sandstone cave
Relationship of seasonal variations in drip water δ13CDIC, δ18O, and trace elements with surface and physical cave conditions of La Vallina cave, NW Spain
In situ estimation of soil hydraulic and hydrodispersive properties by inversion of electromagnetic induction measurements and soil hydrological modeling
Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints
The International Soil Moisture Network: serving Earth system science for over a decade
Technical note: Evaporating water is different from bulk soil water in δ2H and δ18O and has implications for evaporation calculation
Technical note: Unresolved aspects of the direct vapor equilibration method for stable isotope analysis (δ18O, δ2H) of matrix-bound water: unifying protocols through empirical and mathematical scrutiny
Spatio-temporal soil moisture retrieval at the catchment scale using a dense network of cosmic-ray neutron sensors
Deep desiccation of soils observed by long-term high-resolution measurements on a large inclined lysimeter
A novel analytical approach for the simultaneous measurement of nitrate and dissolved organic carbon in soil water
Exploring the regolith with electrical resistivity tomography in large-scale surveys: electrode spacing-related issues and possibility
Soil dielectric characterization during freeze–thaw transitions using L-band coaxial and soil moisture probes
Hydrological signals in tilt and gravity residuals at Conrad Observatory (Austria)
New measures of deep soil water recharge during the vegetation restoration process in semi-arid regions of northern China
Investigating unproductive water losses from irrigated agricultural crops in the humid tropics through analyses of stable isotopes of water
Pacific climate reflected in Waipuna Cave drip water hydrochemistry
Field observations of soil hydrological flow path evolution over 10 millennia
A proposed method for estimating interception from near-surface soil moisture response
Controls of fluorescent tracer retention by soils and sediments
Reflection tomography of time-lapse GPR data for studying dynamic unsaturated flow phenomena
Effects of preferential flow on snowmelt partitioning and groundwater recharge in frozen soils
Spatio-temporal relevance and controls of preferential flow at the landscape scale
Real-time monitoring of nitrate in soils as a key for optimization of agricultural productivity and prevention of groundwater pollution
A soil non-aqueous phase liquid (NAPL) flushing laboratory experiment based on measuring the dielectric properties of soil–organic mixtures via time domain reflectometry (TDR)
The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
Estimating epikarst water storage by time-lapse surface-to-depth gravity measurements
Inter-laboratory comparison of cryogenic water extraction systems for stable isotope analysis of soil water
Preferential flow systems amended with biogeochemical components: imaging of a two-dimensional study
Imaging groundwater infiltration dynamics in the karst vadose zone with long-term ERT monitoring
Calibrating electromagnetic induction conductivities with time-domain reflectometry measurements
Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors
Field-scale water balance closure in seasonally frozen conditions
Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity
Is annual recharge coefficient a valid concept in arid and semi-arid regions?
Transport and degradation of perchlorate in deep vadose zone: implications from direct observations during bioremediation treatment
Monitoring soil moisture from middle to high elevation in Switzerland: set-up and first results from the SOMOMOUNT network
Experimental study on retardation of a heavy NAPL vapor in partially saturated porous media
Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network
ENSO–cave drip water hydrochemical relationship: a 7-year dataset from south-eastern Australia
Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content
Real-time monitoring of nitrate transport in the deep vadose zone under a crop field – implications for groundwater protection
Technical note: Improving the AWAT filter with interpolation schemes for advanced processing of high resolution data
Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, and Rainer Petzold
Hydrol. Earth Syst. Sci., 28, 3567–3595, https://doi.org/10.5194/hess-28-3567-2024, https://doi.org/10.5194/hess-28-3567-2024, 2024
Short summary
Short summary
An introduced high-resolution soil moisture monitoring framework combines a 1D water balance model, real-time meteorological data, and a national soil database to present point-based operational data with a user-friendly web platform. Its significance lies in the improvement of forest management by making informed, local-scale decisions crucial for mitigating climate change impacts. In the paper, we present a technical description and validation of the framework and showcase its features.
Maik Heistermann, Till Francke, Martin Schrön, and Sascha E. Oswald
Hydrol. Earth Syst. Sci., 28, 989–1000, https://doi.org/10.5194/hess-28-989-2024, https://doi.org/10.5194/hess-28-989-2024, 2024
Short summary
Short summary
Cosmic-ray neutron sensing (CRNS) is a non-invasive technique used to obtain estimates of soil water content (SWC) at a horizontal footprint of around 150 m and a vertical penetration depth of up to 30 cm. However, typical CRNS applications require the local calibration of a function which converts neutron counts to SWC. As an alternative, we propose a generalized function as a way to avoid the use of local reference measurements of SWC and hence a major source of uncertainty.
Annelie Ehrhardt, Jannis S. Groh, and Horst H. Gerke
EGUsphere, https://doi.org/10.5194/egusphere-2024-118, https://doi.org/10.5194/egusphere-2024-118, 2024
Short summary
Short summary
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 climate change.
Rohianuu Moua, Nolwenn Lesparre, Jean-François Girard, Benjamin Belfort, François Lehmann, and Anis Younes
Hydrol. Earth Syst. Sci., 27, 4317–4334, https://doi.org/10.5194/hess-27-4317-2023, https://doi.org/10.5194/hess-27-4317-2023, 2023
Short summary
Short summary
Hydraulic properties of soil include the ability of water to move through the soil and the amount of water that is held in the soil in dry or wet conditions. In this work, we further investigate a protocol used to evaluate such hydraulic properties. We propose a modified version of the protocol, with which we show (i) how the data obtained with this protocol are influenced by the soil hydraulic properties and (ii) how one can use it to estimate these properties.
Barbara Herbstritt, Benjamin Gralher, Stefan Seeger, Michael Rinderer, and Markus Weiler
Hydrol. Earth Syst. Sci., 27, 3701–3718, https://doi.org/10.5194/hess-27-3701-2023, https://doi.org/10.5194/hess-27-3701-2023, 2023
Short summary
Short summary
We present a method to collect water vapor samples into bags in the field without an in-field analyser, followed by isotope analysis in the lab. This new method resolves even fine-scaled natural isotope variations. It combines low-cost and lightweight components for maximum spatial and temporal flexibility regarding environmental setups. Hence, it allows for sampling even in terrains that are rather difficult to access, enabling future extended isotope datasets in soil sciences and ecohydrology.
Daniel Rasche, Jannis Weimar, Martin Schrön, Markus Köhli, Markus Morgner, Andreas Güntner, and Theresa Blume
Hydrol. Earth Syst. Sci., 27, 3059–3082, https://doi.org/10.5194/hess-27-3059-2023, https://doi.org/10.5194/hess-27-3059-2023, 2023
Short summary
Short summary
We introduce passive downhole cosmic-ray neutron sensing (d-CRNS) as an approach for the non-invasive estimation of soil moisture in deeper layers of the unsaturated zone which exceed the observational window of above-ground CRNS applications. Neutron transport simulations are used to derive mathematical descriptions and transfer functions, while experimental measurements in an existing groundwater observation well illustrate the feasibility and applicability of the approach.
Guillaume Blanchy, Lukas Albrecht, Gilberto Bragato, Sarah Garré, Nicholas Jarvis, and John Koestel
Hydrol. Earth Syst. Sci., 27, 2703–2724, https://doi.org/10.5194/hess-27-2703-2023, https://doi.org/10.5194/hess-27-2703-2023, 2023
Short summary
Short summary
We collated the Open Tension-disk Infiltrometer Meta-database (OTIM). We analysed topsoil hydraulic conductivities at supply tensions between 0 and 100 mm of 466 data entries. We found indications of different flow mechanisms at saturation and at tensions >20 mm. Climate factors were better correlated with near-saturated hydraulic conductivities than soil properties. Land use, tillage system, soil compaction and experimenter bias significantly influenced K to a similar degree to soil properties.
Kai-Gao Ouyang, Xiao-Wei Jiang, Gang Mei, Hong-Bin Yan, Ran Niu, Li Wan, and Yijian Zeng
Hydrol. Earth Syst. Sci., 27, 2579–2590, https://doi.org/10.5194/hess-27-2579-2023, https://doi.org/10.5194/hess-27-2579-2023, 2023
Short summary
Short summary
Our knowledge on sources and dynamics of rock moisture is limited. By using frequency domain reflectometry (FDR), we monitored rock moisture in a cave. The results of an explainable deep learning model reveal that the direct source of rock moisture responsible for weathering in the studied cave is vapour, not infiltrating precipitation. A physics-informed deep learning model, which uses variables controlling vapor condensation as model inputs, leads to accurate rock water content predictions.
Oliver Kost, Saúl González-Lemos, Laura Rodríguez-Rodríguez, Jakub Sliwinski, Laura Endres, Negar Haghipour, and Heather Stoll
Hydrol. Earth Syst. Sci., 27, 2227–2255, https://doi.org/10.5194/hess-27-2227-2023, https://doi.org/10.5194/hess-27-2227-2023, 2023
Short summary
Short summary
Cave monitoring studies including cave drip water are unique opportunities to sample water which has percolated through the soil and rock. The change in drip water chemistry is resolved over the course of 16 months, inferring seasonal and hydrological variations in soil and karst processes at the water–air and water–rock interface. Such data sets improve the understanding of hydrological and hydrochemical processes and ultimately advance the interpretation of geochemical stalagmite records.
Giovanna Dragonetti, Mohammad Farzamian, Angelo Basile, Fernando Monteiro Santos, and Antonio Coppola
Hydrol. Earth Syst. Sci., 26, 5119–5136, https://doi.org/10.5194/hess-26-5119-2022, https://doi.org/10.5194/hess-26-5119-2022, 2022
Short summary
Short summary
Soil hydraulic and hydrodispersive properties are necessary for modeling water and solute fluxes in agricultural and environmental systems. Despite the major efforts in developing methods (e.g., lab-based, pedotransfer functions), their characterization at applicative scales remains an imperative requirement. Thus, this paper proposes a noninvasive in situ method integrating electromagnetic induction and hydrological modeling to estimate soil hydraulic and transport properties at the plot scale.
Daniel Rasche, Markus Köhli, Martin Schrön, Theresa Blume, and Andreas Güntner
Hydrol. Earth Syst. Sci., 25, 6547–6566, https://doi.org/10.5194/hess-25-6547-2021, https://doi.org/10.5194/hess-25-6547-2021, 2021
Short summary
Short summary
Cosmic-ray neutron sensing provides areal average soil moisture measurements. We investigated how distinct differences in spatial soil moisture patterns influence the soil moisture estimates and present two approaches to improve the estimate of soil moisture close to the instrument by reducing the influence of soil moisture further afield. Additionally, we show that the heterogeneity of soil moisture can be assessed based on the relationship of different neutron energies.
Wouter Dorigo, Irene Himmelbauer, Daniel Aberer, Lukas Schremmer, Ivana Petrakovic, Luca Zappa, Wolfgang Preimesberger, Angelika Xaver, Frank Annor, Jonas Ardö, Dennis Baldocchi, Marco Bitelli, Günter Blöschl, Heye Bogena, Luca Brocca, Jean-Christophe Calvet, J. Julio Camarero, Giorgio Capello, Minha Choi, Michael C. Cosh, Nick van de Giesen, Istvan Hajdu, Jaakko Ikonen, Karsten H. Jensen, Kasturi Devi Kanniah, Ileen de Kat, Gottfried Kirchengast, Pankaj Kumar Rai, Jenni Kyrouac, Kristine Larson, Suxia Liu, Alexander Loew, Mahta Moghaddam, José Martínez Fernández, Cristian Mattar Bader, Renato Morbidelli, Jan P. Musial, Elise Osenga, Michael A. Palecki, Thierry Pellarin, George P. Petropoulos, Isabella Pfeil, Jarrett Powers, Alan Robock, Christoph Rüdiger, Udo Rummel, Michael Strobel, Zhongbo Su, Ryan Sullivan, Torbern Tagesson, Andrej Varlagin, Mariette Vreugdenhil, Jeffrey Walker, Jun Wen, Fred Wenger, Jean Pierre Wigneron, Mel Woods, Kun Yang, Yijian Zeng, Xiang Zhang, Marek Zreda, Stephan Dietrich, Alexander Gruber, Peter van Oevelen, Wolfgang Wagner, Klaus Scipal, Matthias Drusch, and Roberto Sabia
Hydrol. Earth Syst. Sci., 25, 5749–5804, https://doi.org/10.5194/hess-25-5749-2021, https://doi.org/10.5194/hess-25-5749-2021, 2021
Short summary
Short summary
The International Soil Moisture Network (ISMN) is a community-based open-access data portal for soil water measurements taken at the ground and is accessible at https://ismn.earth. Over 1000 scientific publications and thousands of users have made use of the ISMN. The scope of this paper is to inform readers about the data and functionality of the ISMN and to provide a review of the scientific progress facilitated through the ISMN with the scope to shape future research and operations.
Hongxiu Wang, Jingjing Jin, Buli Cui, Bingcheng Si, Xiaojun Ma, and Mingyi Wen
Hydrol. Earth Syst. Sci., 25, 5399–5413, https://doi.org/10.5194/hess-25-5399-2021, https://doi.org/10.5194/hess-25-5399-2021, 2021
Short summary
Short summary
Evaporation led to progressively more heavy-isotope-enriched bulk soil water (BW) following the precipitation/irrigation of heavy-isotope-depleted new water but causes progressively more heavy-isotope-depleted BW following irrigation of heavy-isotope-enriched new water. The results indicated that δ2H and δ18O in evaporating water (EW) were similar to new water and differed from BW. However, the evaporative water loss calculated from BW did not differ significantly from that of EW.
Benjamin Gralher, Barbara Herbstritt, and Markus Weiler
Hydrol. Earth Syst. Sci., 25, 5219–5235, https://doi.org/10.5194/hess-25-5219-2021, https://doi.org/10.5194/hess-25-5219-2021, 2021
Short summary
Short summary
We scrutinized the quickest currently available method for stable isotope analysis of matrix-bound water. Simulating common procedures, we demonstrated the limits of certain materials currently used and identified a reliable and cost-efficient alternative. Further, we calculated the optimum proportions of important protocol aspects critical for precise and accurate analyses. Our unifying protocol suggestions increase data quality and comparability as well as the method's general applicability.
Maik Heistermann, Till Francke, Martin Schrön, and Sascha E. Oswald
Hydrol. Earth Syst. Sci., 25, 4807–4824, https://doi.org/10.5194/hess-25-4807-2021, https://doi.org/10.5194/hess-25-4807-2021, 2021
Short summary
Short summary
Cosmic-ray neutron sensing (CRNS) is a powerful technique for retrieving representative estimates of soil moisture in footprints extending over hectometres in the horizontal and decimetres in the vertical. This study, however, demonstrates the potential of CRNS to obtain spatio-temporal patterns of soil moisture beyond isolated footprints. To that end, we analyse data from a unique observational campaign that featured a dense network of more than 20 neutron detectors in an area of just 1 km2.
Markus Merk, Nadine Goeppert, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 25, 3519–3538, https://doi.org/10.5194/hess-25-3519-2021, https://doi.org/10.5194/hess-25-3519-2021, 2021
Short summary
Short summary
Soil moisture levels have decreased significantly over the past 2 decades. This decrease is not uniformly distributed over the observation period. The largest changes occur at tipping points during years of extreme drought, after which soil moisture levels reach significantly different alternate stable states. Not only the overall trend in soil moisture is affected, but also the seasonal dynamics.
Elad Yeshno, Ofer Dahan, Shoshana Bernstain, and Shlomi Arnon
Hydrol. Earth Syst. Sci., 25, 2159–2168, https://doi.org/10.5194/hess-25-2159-2021, https://doi.org/10.5194/hess-25-2159-2021, 2021
Short summary
Short summary
In this research, we present a novel approach, enabling the measurement of nitrate concentrations in natural soil porewater containing natural soil dissolved organic carbon. This method can be used as the basis onto which an affordable and miniaturized nitrate monitoring sensor for soils can be developed. This sensor can play a significant role in reducing nitrate pollution in water resources, optimizing fertilizers application during agricultural activity and decreasing food production costs.
Laurent Gourdol, Rémi Clément, Jérôme Juilleret, Laurent Pfister, and Christophe Hissler
Hydrol. Earth Syst. Sci., 25, 1785–1812, https://doi.org/10.5194/hess-25-1785-2021, https://doi.org/10.5194/hess-25-1785-2021, 2021
Short summary
Short summary
Electrical resistivity tomography (ERT) is a remarkable tool for characterizing the regolith, but its use over large areas remains cumbersome due to the requirement of small electrode spacing (ES). In this study we document the issues of using oversized ESs and propose a new approach to overcome this limitation. We demonstrate that our protocol significantly improves the accuracy of ERT profiles using large ES and offers a cost-effective means for carrying out large-scale surveys.
Alex Mavrovic, Renato Pardo Lara, Aaron Berg, François Demontoux, Alain Royer, and Alexandre Roy
Hydrol. Earth Syst. Sci., 25, 1117–1131, https://doi.org/10.5194/hess-25-1117-2021, https://doi.org/10.5194/hess-25-1117-2021, 2021
Short summary
Short summary
This paper presents a new probe that measures soil microwave permittivity in the frequency range of satellite L-band sensors. The probe capacities will allow for validation and calibration of the models used to estimate landscape physical properties from raw microwave satellite datasets. Our results show important discrepancies between model estimates and instrument measurements that will need to be addressed.
Bruno Meurers, Gábor Papp, Hannu Ruotsalainen, Judit Benedek, and Roman Leonhardt
Hydrol. Earth Syst. Sci., 25, 217–236, https://doi.org/10.5194/hess-25-217-2021, https://doi.org/10.5194/hess-25-217-2021, 2021
Short summary
Short summary
Gravity and tilt time series acquired at Conrad Observatory (Austria) reflect gravity and deformation associated with short- and long-term environmental processes, revealing a complex water transport process after heavy rain and rapid snowmelt. Gravity residuals are sensitive to the Newtonian effect of water mass transport. Tilt residual anomalies capture strain–tilt coupling effects due to surface or subsurface deformation from precipitation or pressure changes in the adjacent fracture system.
Yiben Cheng, Xinle Li, Yunqi Wang, Hongbin Zhan, Wenbin Yang, and Qunou Jiang
Hydrol. Earth Syst. Sci., 24, 5875–5890, https://doi.org/10.5194/hess-24-5875-2020, https://doi.org/10.5194/hess-24-5875-2020, 2020
Short summary
Short summary
The Three North Forest Program has produced a vast area of lined forest in semi-arid regions, which consumes a large amount of water resources. This study uses a newly designed lysimeter to measure water distribution without destroying the in situ vegetation soil structure. It addresses the shortcomings of a traditional lysimeter, in terms of changing the in situ soil structure and destroying the vegetation root system, and the shortcomings of high costs and inconvenient installation.
Amani Mahindawansha, Christoph Külls, Philipp Kraft, and Lutz Breuer
Hydrol. Earth Syst. Sci., 24, 3627–3642, https://doi.org/10.5194/hess-24-3627-2020, https://doi.org/10.5194/hess-24-3627-2020, 2020
Short summary
Short summary
Stable isotopes of soil water are an effective tool to reveal soil hydrological processes in irrigated agricultural fields. Flow mechanisms and isotopic patterns of soil water in the soil matrix differ, depending on the crop and irrigation practices. Isotope data supported the fact that unproductive water losses via evaporation can be reduced by introducing dry seasonal crops to the crop rotation system.
Cinthya Nava-Fernandez, Adam Hartland, Fernando Gázquez, Ola Kwiecien, Norbert Marwan, Bethany Fox, John Hellstrom, Andrew Pearson, Brittany Ward, Amanda French, David A. Hodell, Adrian Immenhauser, and Sebastian F. M. Breitenbach
Hydrol. Earth Syst. Sci., 24, 3361–3380, https://doi.org/10.5194/hess-24-3361-2020, https://doi.org/10.5194/hess-24-3361-2020, 2020
Short summary
Short summary
Speleothems are powerful archives of past climate for understanding modern local hydrology and its relation to regional circulation patterns. We use a 3-year monitoring dataset to test the sensitivity of Waipuna Cave to seasonal changes and El Niño–Southern Oscillation (ENSO) dynamics. Drip water data suggest a fast response to rainfall events; its elemental composition reflects a seasonal cycle and ENSO variability. Waipuna Cave speleothems have a high potential for past ENSO reconstructions.
Anne Hartmann, Ekaterina Semenova, Markus Weiler, and Theresa Blume
Hydrol. Earth Syst. Sci., 24, 3271–3288, https://doi.org/10.5194/hess-24-3271-2020, https://doi.org/10.5194/hess-24-3271-2020, 2020
Short summary
Short summary
Our field observation-based examination of flow path evolution, soil formation, and vegetation succession across 10 millennia shows how water flow paths and subsurface water storage are linked to the organization of evolving landscapes.
The increase found in water storage and preferential flow paths with increasing soil age shows the effect of the complex interaction of vegetation and soil development on flow paths, water balance, and runoff formation during landscape evolution.
Subodh Acharya, Daniel McLaughlin, David Kaplan, and Matthew J. Cohen
Hydrol. Earth Syst. Sci., 24, 1859–1870, https://doi.org/10.5194/hess-24-1859-2020, https://doi.org/10.5194/hess-24-1859-2020, 2020
Short summary
Short summary
Interception is the storage and subsequent evaporation of rain by vegetation and surface litter. Quantifying interception is critical for understanding the water balance, but it can be difficult and costly to measure. We developed an approach to estimate interception using automated soil moisture measurements during rainfall events. Results suggest that interception can be estimated using soil moisture data, leading to potential cost savings and logistical advantages over conventional methods.
Marcus Bork, Jens Lange, Markus Graf-Rosenfellner, and Friederike Lang
Hydrol. Earth Syst. Sci., 24, 977–989, https://doi.org/10.5194/hess-24-977-2020, https://doi.org/10.5194/hess-24-977-2020, 2020
Short summary
Short summary
Fluorescent tracers such as uranine and sulforhodamine B are useful tools to gain knowledge about water and solute fluxes in aquatic and terrestrial ecosystems. In this study we systematically investigated the influence of important soil properties (pH, organic carbon content and texture) on tracer adsorption in soils and sediments. These properties also determine whether the tracers in the respective soil behave conservatively or non-conservatively.
Adam R. Mangel, Stephen M. J. Moysey, and John Bradford
Hydrol. Earth Syst. Sci., 24, 159–167, https://doi.org/10.5194/hess-24-159-2020, https://doi.org/10.5194/hess-24-159-2020, 2020
Short summary
Short summary
Water flows through soils in an incredibly complex network of pathways. Understanding these pathways is critical to sustainable use of water resources. Ground-penetrating radar (GPR) can image water in near-surface soils the same way an X-ray is used to image the human body. Utilizing innovative ways of collecting and processing the GPR data, we can image complex water flow in space and through time, which allows for the continued development of our ideas and models of subsurface water flow.
Aaron A. Mohammed, Igor Pavlovskii, Edwin E. Cey, and Masaki Hayashi
Hydrol. Earth Syst. Sci., 23, 5017–5031, https://doi.org/10.5194/hess-23-5017-2019, https://doi.org/10.5194/hess-23-5017-2019, 2019
Short summary
Short summary
In cold regions, the permeability of the frozen ground is an important factor influencing a watershed's response to snowmelt. This study highlights the effects of preferential flow in frozen soils on snowmelt redistribution and groundwater recharge in seasonally frozen landscapes.
Dominic Demand, Theresa Blume, and Markus Weiler
Hydrol. Earth Syst. Sci., 23, 4869–4889, https://doi.org/10.5194/hess-23-4869-2019, https://doi.org/10.5194/hess-23-4869-2019, 2019
Short summary
Short summary
This study presents an analysis of 135 soil moisture profiles for identification of the spatial and temporal preferential flow occurrence in a complex landscape. Especially dry conditions and high rainfall intensities were found to increase preferential flow occurrence in soils. This results in a seasonal pattern of preferential flow with a higher occurrence in summer. During this time grasslands showed increased flow velocities, whereas forest sites exhibited a higher amount of bypass flow.
Elad Yeshno, Shlomi Arnon, and Ofer Dahan
Hydrol. Earth Syst. Sci., 23, 3997–4010, https://doi.org/10.5194/hess-23-3997-2019, https://doi.org/10.5194/hess-23-3997-2019, 2019
Short summary
Short summary
Lack of adequate instrumentation for monitoring nutrient availability in agricultural soils leads in most cases to over-application of fertilizers, often resulting in groundwater pollution. This research presents a novel approach for real-time, in situ monitoring of nitrate in soils using absorption spectroscopy techniques while preventing interference from dissolved organic carbon. Column experiments with this system resulted in accurate nitrate measurements in three different soil types.
Alessandro Comegna, Antonio Coppola, Giovanna Dragonetti, and Angelo Sommella
Hydrol. Earth Syst. Sci., 23, 3593–3602, https://doi.org/10.5194/hess-23-3593-2019, https://doi.org/10.5194/hess-23-3593-2019, 2019
Short summary
Short summary
We carried out a series of laboratory-controlled experiments in order to simulate different scenarios of practical interest aiming to analyze, from a dielectric point of view, the influence of different washing solutions on non-aqueous phase liquid (NAPL) removal. Furthermore, on the basis of the results obtained, we validated a dielectric mixing model for predicting the volumetric amounts of NAPL (θNAPL) within the contaminated soil as the decontamination process progressed.
Mireia Fontanet, Daniel Fernàndez-Garcia, and Francesc Ferrer
Hydrol. Earth Syst. Sci., 22, 5889–5900, https://doi.org/10.5194/hess-22-5889-2018, https://doi.org/10.5194/hess-22-5889-2018, 2018
Short summary
Short summary
One of the main objectives of remote sensing methodology is to downscale soil moisture to improve irrigation management. The DISPATCH algorithm is able to measure soil moisture at 1 km resolution using SMOS and MODIS data. In this work DISPATCH has been evaluated with soil moisture sensors, under heterogeneous conditions where local irrigation is applied. Results show that DISPATCH is not sensitive when local irrigation is applied even at low resolution.
Cédric Champollion, Sabrina Deville, Jean Chéry, Erik Doerflinger, Nicolas Le Moigne, Roger Bayer, Philippe Vernant, and Naomi Mazzilli
Hydrol. Earth Syst. Sci., 22, 3825–3839, https://doi.org/10.5194/hess-22-3825-2018, https://doi.org/10.5194/hess-22-3825-2018, 2018
Short summary
Short summary
Gravity monitoring at the surface and in situ (in caves) has been conducted in a karst hydro-system in the south of France (Larzac plateau). Subsurface water storage is evidenced with a spatial variability probably associated with lithology differences and confirmed by MRS measurements. Gravity allows transient water storage to be estimated on the seasonal scale.
Natalie Orlowski, Lutz Breuer, Nicolas Angeli, Pascal Boeckx, Christophe Brumbt, Craig S. Cook, Maren Dubbert, Jens Dyckmans, Barbora Gallagher, Benjamin Gralher, Barbara Herbstritt, Pedro Hervé-Fernández, Christophe Hissler, Paul Koeniger, Arnaud Legout, Chandelle Joan Macdonald, Carlos Oyarzún, Regine Redelstein, Christof Seidler, Rolf Siegwolf, Christine Stumpp, Simon Thomsen, Markus Weiler, Christiane Werner, and Jeffrey J. McDonnell
Hydrol. Earth Syst. Sci., 22, 3619–3637, https://doi.org/10.5194/hess-22-3619-2018, https://doi.org/10.5194/hess-22-3619-2018, 2018
Short summary
Short summary
To extract water from soils for isotopic analysis, cryogenic water extraction is the most widely used removal technique. This work presents results from a worldwide laboratory intercomparison test of cryogenic extraction systems. Our results showed large differences in retrieved isotopic signatures among participating laboratories linked to interactions between soil type and properties, system setup, extraction efficiency, extraction system leaks, and each lab’s internal accuracy.
Ashley R. Pales, Biting Li, Heather M. Clifford, Shyla Kupis, Nimisha Edayilam, Dawn Montgomery, Wei-zhen Liang, Mine Dogan, Nishanth Tharayil, Nicole Martinez, Stephen Moysey, Brian Powell, and Christophe J. G. Darnault
Hydrol. Earth Syst. Sci., 22, 2487–2509, https://doi.org/10.5194/hess-22-2487-2018, https://doi.org/10.5194/hess-22-2487-2018, 2018
Arnaud Watlet, Olivier Kaufmann, Antoine Triantafyllou, Amaël Poulain, Jonathan E. Chambers, Philip I. Meldrum, Paul B. Wilkinson, Vincent Hallet, Yves Quinif, Michel Van Ruymbeke, and Michel Van Camp
Hydrol. Earth Syst. Sci., 22, 1563–1592, https://doi.org/10.5194/hess-22-1563-2018, https://doi.org/10.5194/hess-22-1563-2018, 2018
Short summary
Short summary
Understanding water infiltration in karst regions is crucial as the aquifers they host provide drinkable water for a quarter of the world's population. We present a non-invasive tool to image hydrological processes in karst systems. At our field site, the injection of electrical current in the ground, repeated daily over a 3-year period, allowed imaging changes in the groundwater content. We show that specific geological layers control seasonal to rainfall-triggered water infiltration dynamics.
Giovanna Dragonetti, Alessandro Comegna, Ali Ajeel, Gian Piero Deidda, Nicola Lamaddalena, Giuseppe Rodriguez, Giulio Vignoli, and Antonio Coppola
Hydrol. Earth Syst. Sci., 22, 1509–1523, https://doi.org/10.5194/hess-22-1509-2018, https://doi.org/10.5194/hess-22-1509-2018, 2018
Short summary
Short summary
The paper aims to infer the bulk electrical conductivity distribution in the root zone from EMI readings. TDR measurements were used as ground-truth data to evaluate the goodness of the estimations by EMI inversion. The approach is based on the mean and standard deviation of the EMI and TDR series. It looks for the physical reasons for the differences between EMI- and TDR-based electrical conductivity and provides a correction of the bias based on the statistical sources of the discrepancies.
David McJannet, Aaron Hawdon, Brett Baker, Luigi Renzullo, and Ross Searle
Hydrol. Earth Syst. Sci., 21, 6049–6067, https://doi.org/10.5194/hess-21-6049-2017, https://doi.org/10.5194/hess-21-6049-2017, 2017
Short summary
Short summary
Satellite and broad-scale model estimates of soil moisture have improved in resolution. However, validation and calibration of these products has been limited because of a lack of observations on corresponding scales. We use a mobile soil moisture monitoring platform, known as the
rover, to derive soil moisture at 9 km and 1 km resolution. We describe methods to calculate soil moisture and present results from multiple surveys. The products produced are well suited to validation studies.
Xicai Pan, Warren Helgason, Andrew Ireson, and Howard Wheater
Hydrol. Earth Syst. Sci., 21, 5401–5413, https://doi.org/10.5194/hess-21-5401-2017, https://doi.org/10.5194/hess-21-5401-2017, 2017
Short summary
Short summary
In this paper we present a case study from a heterogeneous pasture site in the Canadian prairies, where we have quantified the various components of the water balance on the field scale, and critically examine some of the simplifying assumptions which are often invoked when applying water budget approaches in applied hydrology. We highlight challenges caused by lateral fluxes of blowing snow and ambiguous partitioning of snow melt water into runoff and infiltration.
Martin Schrön, Markus Köhli, Lena Scheiffele, Joost Iwema, Heye R. Bogena, Ling Lv, Edoardo Martini, Gabriele Baroni, Rafael Rosolem, Jannis Weimar, Juliane Mai, Matthias Cuntz, Corinna Rebmann, Sascha E. Oswald, Peter Dietrich, Ulrich Schmidt, and Steffen Zacharias
Hydrol. Earth Syst. Sci., 21, 5009–5030, https://doi.org/10.5194/hess-21-5009-2017, https://doi.org/10.5194/hess-21-5009-2017, 2017
Short summary
Short summary
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.
Yiben Cheng, Hongbin Zhan, Wenbin Yang, Hongzhong Dang, and Wei Li
Hydrol. Earth Syst. Sci., 21, 5031–5042, https://doi.org/10.5194/hess-21-5031-2017, https://doi.org/10.5194/hess-21-5031-2017, 2017
Short summary
Short summary
This study uses a newly designed lysimeter to study three consecutive years (2013–2015) of deep soil recharge (DSR) underneath bare sand land on the eastern margin of Mu Us Sandy Land in the Ordos Basin of China. The objective is to identify the characteristics of the DSR distribution and the factors affecting the DSR distribution. Specifically, we would like to examine if the commonly used recharge coefficient concept can be applied for arid and semi-arid regions.
Ofer Dahan, Idan Katz, Lior Avishai, and Zeev Ronen
Hydrol. Earth Syst. Sci., 21, 4011–4020, https://doi.org/10.5194/hess-21-4011-2017, https://doi.org/10.5194/hess-21-4011-2017, 2017
Short summary
Short summary
In situ bioremediation of a perchlorate-contaminated vadose zone was conducted through infiltration of electron-donor-enriched water. A vadose zone monitoring system (VMS) provided real-time tracking of the hydraulic and chemical conditions across the unsaturated zone. Variations in concentration profiles of perchlorate, chloride, DOC and bromide in the vadose zone pore water showed limited migration capacity of biologically consumable carbon and significant mobilization of perchlorate.
Cécile Pellet and Christian Hauck
Hydrol. Earth Syst. Sci., 21, 3199–3220, https://doi.org/10.5194/hess-21-3199-2017, https://doi.org/10.5194/hess-21-3199-2017, 2017
Short summary
Short summary
This paper presents a detailed description of the new Swiss soil moisture monitoring network SOMOMOUNT, which comprises six stations distributed along an elevation gradient ranging from 1205 to 3410 m. The liquid soil moisture (LSM) data collected during the first 3 years are discussed with regard to their soil type and climate dependency as well as their altitudinal distribution. The elevation dependency of the LSM was found to be non-linear with distinct dynamics at high and low elevation.
Simon Matthias Kleinknecht, Holger Class, and Jürgen Braun
Hydrol. Earth Syst. Sci., 21, 1381–1396, https://doi.org/10.5194/hess-21-1381-2017, https://doi.org/10.5194/hess-21-1381-2017, 2017
Short summary
Short summary
Retardation of migrating contaminant vapors in the subsurface may mitigate groundwater contamination or vapor intrusion into buildings. An experimental investigation was conducted to quantify the retardation of carbon disulfide (CS2) vapor in moist porous media based on the analysis of concentration breakthrough curves. Findings linked retardation to types of porous media and water saturation. Moreover, the first evidence of biodegradation of the CS2 vapor was found in the column experiments.
Edoardo Martini, Ulrike Werban, Steffen Zacharias, Marco Pohle, Peter Dietrich, and Ute Wollschläger
Hydrol. Earth Syst. Sci., 21, 495–513, https://doi.org/10.5194/hess-21-495-2017, https://doi.org/10.5194/hess-21-495-2017, 2017
Short summary
Short summary
With a process-based interpretation of electromagnetic induction measurements, we discussed the potential and limitations of such a method for soil moisture mapping. Results will help clarify the complex and time-varying effect of stable soil properties and dynamic state variables on the physical parameters measured, with implications for future studies. We highlighted the importance of time-series data and the need for a multidisciplinary approach for proper interpretation.
Carol V. Tadros, Pauline C. Treble, Andy Baker, Ian Fairchild, Stuart Hankin, Regina Roach, Monika Markowska, and Janece McDonald
Hydrol. Earth Syst. Sci., 20, 4625–4640, https://doi.org/10.5194/hess-20-4625-2016, https://doi.org/10.5194/hess-20-4625-2016, 2016
Short summary
Short summary
We investigated the potential use of trace element and stable oxygen-isotope variations in cave drip water as palaeorainfall proxies in an Australian alpine karst site. Using 7 years of cave monitoring data, we constrained the hydrological processes impacting the drip-water composition and identified a robust ENSO–drip water hydrochemical relationship. These findings are fundamental for reconstructing past ENSO variability from speleothems (cave deposits) regionally and globally.
William Alexander Avery, Catherine Finkenbiner, Trenton E. Franz, Tiejun Wang, Anthony L. Nguy-Robertson, Andrew Suyker, Timothy Arkebauer, and Francisco Muñoz-Arriola
Hydrol. Earth Syst. Sci., 20, 3859–3872, https://doi.org/10.5194/hess-20-3859-2016, https://doi.org/10.5194/hess-20-3859-2016, 2016
Short summary
Short summary
Here we present a strategy to use globally available datasets in the calibration function used to convert observed moderated neutron counts into volumetric soil water content. While local sampling protocols are well documented for fixed probes, the use of roving probes presents new calibration challenges. With over 200 fixed probes and 10 roving probes in use globally, we anticipate this paper will serve as a keystone for the growing cosmic-ray neutron probe and hydrologic community.
Tuvia Turkeltaub, Daniel Kurtzman, and Ofer Dahan
Hydrol. Earth Syst. Sci., 20, 3099–3108, https://doi.org/10.5194/hess-20-3099-2016, https://doi.org/10.5194/hess-20-3099-2016, 2016
Short summary
Short summary
Efficient groundwater protection from pollution originating in agriculture requires effective monitoring means capable of tacking pollution processes in the vadose zone, long before groundwater pollution turns into an unavoidable fact. In this study, a vadose zone monitoring system that was installed under a crop field fertilized by dairy slurry enabled real-time tracking of nitrate plum migration down the vadose zone from the land surface to the water table at 18m depth.
Andre Peters, Thomas Nehls, and Gerd Wessolek
Hydrol. Earth Syst. Sci., 20, 2309–2315, https://doi.org/10.5194/hess-20-2309-2016, https://doi.org/10.5194/hess-20-2309-2016, 2016
Short summary
Short summary
The AWAT (Adaptive Window and Adaptive Threshold) filter routine for high-resolution lysimeter data is improved. The threshold scheme with original step interpolation yields unrealistic fluxes for high temporal resolution. Improvement applies linear and spline interpolation schemes so that fluxes in high temporal resolution are automatically calculated. The spline scheme allows continuous differentiability of filtered data so that any output resolution for the fluxes is sound.
Amber M. Peterson, Warren D. Helgason, and Andrew M. Ireson
Hydrol. Earth Syst. Sci., 20, 1373–1385, https://doi.org/10.5194/hess-20-1373-2016, https://doi.org/10.5194/hess-20-1373-2016, 2016
Short summary
Short summary
Remote sensing techniques can provide useful large-scale estimates of soil moisture. However, these methods often only sense near-surface soil moisture, whereas many applications require estimates of the entire root zone. In this study we propose and test methods to "depth-scale" the shallow soil moisture measurements obtained using the cosmic-ray neutron probe to represent the entire root zone, thereby improving the applicability of this measurement approach.
Cited articles
Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337, https://doi.org/10.5194/hess-12-1323-2008, 2008.
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and
Zemp, M.: The concept of essential climate variables in support of climate
research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443,
https://doi.org/10.1175/bams-d-13-00047.1, 2014.
Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z.,
and Hasenauer, S.: Improving runoff prediction through the assimilation of
the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881–1893, https://doi.org/10.5194/hess-14-1881-2010, 2010.
Brocca, L., Ciabatta, L., Massari, C., Camici, S., and Tarpanelli, A.: Soil
Moisture for Hydrological Applications: Open Questions and New
Opportunities, Water, 9, 140, https://doi.org/10.3390/w9020140, 2017.
Ceballos, A., Scipal, K., Wagner, W., and Martinez-Fernandez, J.: Validation
of ERS scatterometer-derived soil moisture data in the central part of the
Duero Basin, Spain, Hydrol. Process., 19, 1549–1566,
https://doi.org/10.1002/hyp.5585, 2005.
Chan, S. K., Bindlish, R., O'Neill, P. E., Njoku, E., Jackson, T.,
Colliander, A., Chen, F., Burgin, M., Dunbar, S., and Piepmeier, J.:
Assessment of the SMAP passive soil moisture product, IEEE T. Geosci.
Remote, 54, 4994–5007, https://doi.org/10.1109/TGRS.2016.2561938,
2016.
Chen, Y., Yang, K., He, J., Qin, J., Shi, J., Du, J., and He, Q.: Improving
land surface temperature modeling for dry land of China, J. Geophys. Res.-Atmos., 116, D20104, https://doi.org/10.1029/2011jd015921, 2011.
Chen, Y., Yang, K., Qin, J., Cui, Q., Lu, H., La, Z., Han, M., and Tang, W.:
Evaluation of SMAP, SMOS and AMSR2 soil moisture retrievals against
observations from two networks on the Tibetan Plateau, J. Geophys. Res.-Atmos., 122, 5780–5792, https://doi.org/10.1002/2016JD026388, 2017.
Cihlar, J., Manak, D., and D'Iorio, M.: Evaluation of Compositing Algorithms
for AVHRR Data over Land, IEEE T. Geosci. Remote, 32, 427–437.
https://doi.org/10.1109/36.295057, 1994.
Cobos, D. R. and Chambers, C.: Calibrating ECH2O soil moisture sensors,
Application Note, Decagon Devices, Pullman, WA, 2010.
Colliander, A., Jackson, T. J., Bindlish, R., Chan, S., Das, N., Kim, S.,
Cosh, M., Dunbar, R., Dang, L., and Pashaian, L.: Validation of SMAP surface
soil moisture products with core validation sites, Remote Sens. Environ.,
191, 215–231, https://doi.org/10.1016/j.rse.2017.01.021, 2017.
Dai, Y., Shangguan, W., Wei, N., Xin, Q., Yuan, H., Zhang, S., Liu, S., Lu,
X., Wang, D., and Yan, F.: A review of the global soil property maps for
Earth system models, SOIL, 5, 137–158,
https://doi.org/10.5194/soil-5-137-2019, 2019.
De Lannoy, G. J. M., Houser, P. R., Verhoest, N. E. C., Pauwels, V. R. N.,
and Gish, T. J.: Upscaling of point soil moisture measurements to field
averages at the OPE3 test site, J. Hydrol., 343, 1–11,
https://doi.org/10.1016/j.jhydrol.2007.06.004, 2007.
Dobriyal, P., Qureshi, A., Badola, R., and Hussain, S. A.: A review of the
methods available for estimating soil moisture and its implications for
water resource management, J. Hydrol., 458, 110–117,
https://doi.org/10.1016/j.jhydrol.2012.06.021, 2012.
Drusch, M., Wood, E. F., and Gao, H.: Observation operators for the direct
assimilation of TRMM microwave imager retrieved soil moisture, Geophys. Res.
Lett., 32, L15403, https://doi.org/10.1029/2005GL023623, 2005.
Entekhabi, D., Yueh, S., ONeill, P. E., Kellogg, K. H., Allen, A., Bindlish, R., Brown, M., Chan, S., Colliander, A., and Crow, W. T.: SMAP handbook-Soil Moisture Active Passive: Mapping Soil Moisture and Freeze/Thaw From Space, Jet Propulsion Lab., California Inst. Technol., Pasadena, California, 2014.
Escorihuela, M.-J., Chanzy, A., Wigneron, J.-P., and Kerr, Y.: Effective
soil moisture sampling depth of L-band radiometry: A case study, Remote
Sens. Environ., 114, 995–1001, https://doi.org/10.1016/j.rse.2009.12.011,
2010.
Feng, Q., Yang, L., Deo, R. C., AghaKouchak, A., Adamowski, J. F., Stone,
R., Yin, Z., Liu, W., Si, J., Wen, X., Zhu, M., and Cao, S.: Domino effect
of climate change over two millennia in ancient China's Hexi Corridor, Nat.
Sustainability, 2, 957–961, https://doi.org/10.1038/s41893-019-0397-9, 2019.
Ford, T. W., Harris, E., and Quiring, S. M.: Estimating root zone soil moisture using near-surface observations from SMOS, Hydrol. Earth Syst. Sci., 18, 139–154, https://doi.org/10.5194/hess-18-139-2014, 2014.
Gao, X., Li, H., Zhao, X., Ma, W., and Wu, P.: Identifying a suitable
revegetation technique for soil restoration on water-limited and degraded
land: Considering both deep soil moisture deficit and soil organic carbon
sequestration, Geoderma, 319, 61–69,
https://doi.org/10.1016/j.geoderma.2018.01.003, 2018.
Gao, X., Zhao, X., Brocca, L., Pan, D., and Wu, P.: Testing of observation
operators designed to estimate profile soil moisture from surface
measurements, Hydrol. Process., 33, 575–584,
https://doi.org/10.1002/hyp.13344, 2019.
Georgakakos, K. P., Bae, D.-H., and Cayan, D. R.: Hydroclimatology of
Continental Watersheds: 1. Temporal Analyses, Water Resour. Res., 31,
655–675, https://doi.org/10.1029/94WR02375, 1995.
González-Zamora, Á., Sánchez, N., Martínez-Fernández,
J., and Wagner, W.: Root-zone plant available water estimation using the
SMOS-derived soil water index, Adv. Water Resour., 96, 339–353,
https://doi.org/10.1016/j.advwatres.2016.08.001, 2016.
Green, J. K., Seneviratne, S. I., Berg, A. M., Findell, K. L., Hagemann, S.,
Lawrence, D. M., and Gentine, P.: Large influence of soil moisture on
long-term terrestrial carbon uptake, Nature, 565, 476–479,
https://doi.org/10.1038/s41586-018-0848-x, 2019.
Han, E., Heathman, G. C., Merwade, V., and Cosh, M. H.: Application of
observation operators for field scale soil moisture averages and variances
in agricultural landscapes, J. Hydrol., 444–445, 34–50,
https://doi.org/10.1016/j.jhydrol.2012.03.035, 2012.
Han, X., Hendricks Franssen, H.-J., Li, X., Zhang, Y., Montzka, C., and
Vereecken, H.: Joint assimilation of surface temperature and L-band
microwave brightness temperature in land data assimilation, Vadose Zone J.,
12, L19501, https://doi.org/10.2136/vzj2012.0072, 2013.
He, C. S., Zhang, L. H., and Wang, Y.: Impacts of Heterogeneity of Soil
Hydraulic Properties on Watershed Hydrological Processes, Science Press,
Beijing, 2018 (in Chinese with Engligh abstract).
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira,
L. G.: Overview of The Radiometric and Biophysical Performance of The MODIS
Vegetation Indices, Remote Sens. Environ., 83, 195–213,
10.1016/s0034-4257(02)00096-2, 2002.
Jakobi, J., Huisman, J., Vereecken, H., Diekkrüger, B., and Bogena, H.:
Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass
Quantification in Drought Conditions, Water Resour. Res., 54, 7383–7402,
https://doi.org/10.1029/2018wr022692, 2018.
Jin, R., Li, X., and Liu, S. M.: Understanding the Heterogeneity of Soil
Moisture and Evapotranspiration Using Multiscale Observations From
Satellites, Airborne Sensors, and a Ground-Based Observation Matrix, IEEE
Geosci. Remote Sens. Lett., 14, 2132–2136,
https://doi.org/10.1109/LGRS.2017.2754961, 2017.
Jin, X., Zhang, L. h., Gu, J., Zhao, C., Tian, J., and He, C. S.: Modeling
the impacts of spatial heterogeneity in soil hydraulic properties on
hydrological process in the upper reach of the Heihe River in the Qilian
Mountains, Northwest China, Hydrol. Process., 29, 3318–3327,
10.1002/hyp.10437, 2015.
Jonard, F., Bogena, H., Caterina, D., Garré, S., Klotzsche, A.,
Monerris, A., Schwank, M., and von Hebel, C.: Ground-Based Soil Moisture
Determination, in: Observation and Measurement, edited by: Li, X. and
Vereecken, H., Springer, Berlin, Heidelberg, 1–42, 2018.
Jung, M., Reichstein, M., Ciais, P., Seneviratne, S. I., Sheffield, J.,
Goulden, M. L., Bonan, G., Cescatti, A., Chen, J., de Jeu, R., Dolman, A.
J., Eugster, W., Gerten, D., Gianelle, D., Gobron, N., Heinke, J., Kimball,
J., Law, B. E., Montagnani, L., Mu, Q., Mueller, B., Oleson, K., Papale, D.,
Richardson, A. D., Roupsard, O., Running, S., Tomelleri, E., Viovy, N.,
Weber, U., Williams, C., Wood, E., Zaehle, S., and Zhang, K.: Recent decline
in the global land evapotranspiration trend due to limited moisture supply,
Nature, 467, 951, https://doi.org/10.1038/nature09396, 2010.
Kornelsen, K. C. and Coulibaly, P.: Root-zone soil moisture estimation
using data-driven methods, Water Resour. Res., 50, 2946–2962,
https://doi.org/10.1002/2013WR014127, 2014.
Lange, R. D., Beck, R., Giesen, N. v. d., Friesen, J., Wit, A. d., and
Wagner, W.: Scatterometer-Derived Soil Moisture Calibrated for Soil Texture
With a One-Dimensional Water-Flow Model, IEEE T. Geosci. Remote,
46, 4041–4049, https://doi.org/10.1109/TGRS.2008.2000796, 2008.
Li, X., Liu, S., Xiao, Q., Ma, M., Jin, R., Che, T., Wang, W., Hu, X., Xu,
Z., and Wen, J.: A multiscale dataset for understanding complex
eco-hydrological processes in a heterogeneous oasis system, Sci. Data, 4,
170083, https://doi.org/10.1038/sdata.2017.83, 2017.
Li, X., Cheng, G. D., Ge, Y. C., Li, H. Y., Han, F., Hu, X. L., Tian, W.,
Tian, Y., Pan, X. D., Nian, Y. Y., Zhang, Y. L., Ran, Y. H., Zheng, Y., Gao,
B., Yang, D. W., Zheng, C. M., Wang, X. S., Liu, S. M., and Cai, X. M.:
Hydrological Cycle in the Heihe River Basin and Its Implication for Water
Resource Management in Endorheic Basins, J. Geophys. Res.-Atmos., 123,
890–914, https://doi.org/10.1002/2017jd027889, 2018.
Li, Z., Xu, Z., Shao, Q., and Yang, J.: Parameter estimation and uncertainty
analysis of SWAT model in upper reaches of the Heihe river basin, Hydrol.
Process., 23, 2744–2753, https://doi.org/10.1002/hyp.7371, 2009.
Liu, H., Zhao, W., He, Z., and Liu, J.: Soil moisture dynamics across
landscape types in an arid inland river basin of Northwest China, Hydrol.
Process., 29, 3328–3341, https://doi.org/10.1002/hyp.10444, 2015.
Liu, J., Chai, L., Lu, Z., Liu, S., Qu, Y., Geng, D., Song, Y., Guan, Y.,
Guo, Z., and Wang, J.: Evaluation of SMAP, SMOS-IC, FY3B, JAXA, and LPRM
Soil Moisture Products over the Qinghai-Tibet Plateau and Its Surrounding
Areas, Remote Sens., 11, 792, https://doi.org/10.3390/rs11070792, 2019.
Liu, S., Li, X., Xu, Z., Che, T., Xiao, Q., Ma, M., Liu, Q., Jin, R., Guo,
J., Wang, L., Wang, W., Qi, Y., Li, H., Xu, T., Ran, Y., Hu, X., Shi, S.,
Zhu, Z., Tan, J., Zhang, Y., and Ren, Z.: The Heihe Integrated Observatory
Network: A Basin-Scale Land Surface Processes Observatory in China, Vadose
Zone J., 17, 1–21, https://doi.org/10.2136/vzj2018.04.0072, 2018a.
Liu, Z., Cheng, L., Hao, Z., Li, J., Thorstensen, A., and Gao, H.: A
framework for exploring joint effects of conditional factors on compound
floods, Water Resour. Res., 54, 2681–2696, 2018b.
Luo, K., Tao, F., Moiwo, J. P., and Xiao, D.: Attribution of hydrological
change in Heihe River Basin to climate and land use change in the past three
decades, Sci. Rep.-UK, 6, 33704, https://doi.org/10.1038/srep33704, 2016.
Mahmood, R. and Hubbard, K. G.: Relationship between soil moisture of near
surface and multiple depths of the root zone under heterogeneous land uses
and varying hydroclimatic conditions, Hydrol. Process., 21, 3449–3462,
https://doi.org/10.1002/hyp.6578, 2007.
Manfreda, S., Brocca, L., Moramarco, T., Melone, F., and Sheffield, J.: A physically based approach for the estimation of root-zone soil moisture from surface measurements, Hydrol. Earth Syst. Sci., 18, 1199–1212, https://doi.org/10.5194/hess-18-1199-2014, 2014.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R.
D., and Veith, T. L.: Model evaluation guidelines for systematic
quantification of accuracy in watershed simulations, T. ASABE, 50,
885–900, https://doi.org/10.13031/2013.23153, 2007.
Muhammad, Z., Hyunglok, K., and Minha, C.: Evaluating the patterns of
spatiotemporal trends of root zone soil moisture in major climate regions in
East Asia, J. Geophys. Res.-Atmos., 122, 7705–7722,
https://doi.org/10.1002/2016JD026379, 2017.
Ochsner, T. E., Cosh, M. H., Cuenca, R. H., Dorigo, W. A., Draper, C. S.,
Hagimoto, Y., Kerr, Y. H., Larson, K. M., Njoku, E. G., Small, E. E., and
Zreda, M.: State of the Art in Large-Scale Soil Moisture Monitoring, Soil
Sci. Soc. Am. J., 77, 1888–1919, https://doi.org/10.2136/sssaj2013.03.0093,
2013.
Pablos, M., González-Zamora, Á., Sánchez, N., and
Martínez-Fernández, J.: Assessment of Root Zone Soil Moisture
Estimations from SMAP, SMOS and MODIS Observations, Remote Sens., 10, 981,
https://doi.org/10.3390/rs10070981, 2018.
Pan, Q. M. and Tian, S. L.: Water resources in the Heihe river basin, The Yellow River Water Conservency Press, Zheng Zhou, China, 2001 (in Chinese).
Pan, X., Kornelsen, K. C., and Coulibaly, P.: Estimating Root Zone Soil
Moisture at Continental Scale Using Neural Networks, J. Am. Water Resour.
Assoc., 53, 220–237, https://doi.org/10.1111/1752-1688.12491, 2017.
Pasolli, L., Notarnicola, C., Bruzzone, L., Bertoldi, G., Della Chiesa, S.,
Hell, V., Niedrist, G., Tappeiner, U., Zebisch, M., and Del Frate, F.:
Estimation of soil moisture in an alpine catchment with RADARSAT2 images,
Appl. Environ. Soil Sci., 2011, 341–366, https://doi.org/10.1155/2011/175473, 2011.
Paulik, C., Dorigo, W., Wagner, W., and Kidd, R.: Validation of the ASCAT
Soil Water Index using in situ data from the International Soil Moisture
Network, Int. J. Appl. Earth Obs, 30, 1–8,
https://doi.org/10.1016/j.jag.2014.01.007, 2014.
Peng, J., Loew, A., Merlin, O., and Verhoest, N. E.: A review of spatial
downscaling of satellite remotely sensed soil moisture, Rev. Geophys., 55, 341–366,
https://doi.org/10.1002/2016RG000543, 2017.
Qiu, J. X., Crow, W. T., Nearing, G. S., Mo, X. G., and Liu, S. X.: The impact of
vertical measurement depth on the information content of soil moisture times
series data, Geophys. Res. Lett., 41, 4997–5004,
https://doi.org/10.1002/2014gl060017, 2014.
Qu, Y., Zhu, Z., Chai, L., Liu, S., Montzka, C., Liu, J., Yang, X., Lu, Z.,
Jin, R., and Li, X.: Rebuilding a Microwave Soil Moisture Product Using
Random Forest Adopting AMSR-E/AMSR2 Brightness Temperature and SMAP over the
Qinghai–Tibet Plateau, China, Remote Sens., 11, 683,
https://doi.org/10.3390/rs11060683, 2019.
Rasmy, M., Koike, T., Boussetta, S., Lu, H., and Li, X.: Development of a
satellite land data assimilation system coupled with a mesoscale model in
the Tibetan Plateau, IEEE T. Geosci. Remote, 49, 2847–2862,
https://doi.org/10.1109/TGRS.2011.2112667, 2011.
Reichle, R. H. and Koster, R. D.: Bias reduction in short records of
satellite soil moisture, Geophys. Res. Lett., 31,
https://doi.org/10.1029/2004GL020938, 2004.
Reichle, R. H., Lannoy, G. J. M. D., Liu, Q., Ardizzone, J. V., Colliander,
A., Conaty, A., Crow, W., Jackson, T. J., Jones, L. A., Kimball, J. S.,
Koster, R. D., Mahanama, S. P., Smith, E. B., Berg, A., Bircher, S., Bosch,
D., Caldwell, T. G., Cosh, M., González-Zamora, Á., Collins, C. D.
H., Jensen, K. H., Livingston, S., Lopez-Baeza, E.,
Martínez-Fernández, J., McNairn, H., Moghaddam, M., Pacheco, A.,
Pellarin, T., Prueger, J., Rowlandson, T., Seyfried, M., Starks, P., Su, Z.,
Thibeault, M., Velde, R. v. d., Walker, J., Wu, X., and Zeng, Y.: Assessment
of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In
Situ Measurements, J. Hydrometeorol., 18, 2621–2645,
https://doi.org/10.1175/jhm-d-17-0063.1, 2017.
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B.,
Lehner, I., Orlowsky, B., and Teuling, A. J.: Investigating soil
moisture–climate interactions in a changing climate: a review, Earth Sci.
Rev., 99, 125–161, https://doi.org/10.1016/j.earscirev.2010.02.004, 2010.
Tian, J., Zhang, B., He, C., and Yang, L.: Variability in Soil Hydraulic
Conductivity and Soil Hydrological Response Under Different Land Covers in
the Mountainous Area of the Heihe River Watershed, Northwest China, Land
Degrad. Dev., 28, 1437–1449, https://doi.org/10.1002/ldr.2665, 2017.
Tian, J., Zhang, B., He, C., Han, Z., Bogena, H. R., and Huisman, J. A.:
Dynamic response patterns of profile soil moisture wetting events under
different land covers in the Mountainous area of the Heihe River Watershed,
Northwest China, Agr. Forest Meteorol., 271, 225–239,
https://doi.org/10.1016/j.agrformet.2019.03.006, 2019.
Tobin, K. J., Torres, R., Crow, W. T., and Bennett, M. E.: Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS, Hydrol. Earth Syst. Sci., 21, 4403–4417, https://doi.org/10.5194/hess-21-4403-2017, 2017.
Ullah, W., Wang, G., Gao, Z., Hagan, D. F. T., and Lou, D.: Comparisons of
remote sensing and reanalysis soil moisture products over the Tibetan
Plateau, China, Cold Reg. Sci. Technol., 146, 110–121,
https://doi.org/10.1016/j.coldregions.2017.12.003, 2018.
Wagner, W., Lemoine, G., and Rott, H.: A method for estimating soil moisture
from ERS scatterometer and soil data, Remote Sens. Environ., 70, 191–207,
https://doi.org/10.1016/s0034-4257(99)00036-x, 1999.
Wang, S., Fu, B., Gao, G., Zhou, J., Jiao, L., and Liu, J.: Linking the soil
moisture distribution pattern to dynamic processes along slope transects in
the Loess Plateau, China, Environ. Monit. Assess., 187, 778,
https://doi.org/10.1007/s10661-015-5000-x, 2015.
Wang, T., Franz, T. E., You, J., Shulski, M. D., and Ray, C.: Evaluating
controls of soil properties and climatic conditions on the use of an
exponential filter for converting near surface to root zone soil moisture
contents, J. Hydrol., 548, 683–696,
https://doi.org/10.1016/j.jhydrol.2017.03.055, 2017.
Williams, C., McNamara, J., and Chandler, D.: Controls on the temporal and
spatial variability of soil moisture in a mountainous landscape: the
signature of snow and complex terrain, Hydrol. Earth Syst. Sci., 13,
1325–1336, https://doi.org/10.5194/hess-13-1325-2009, 2009.
Wu, J., Zhong, B., and Wu, J.: Landsat-based continuous monthly
30 m ×30 m land surface NDVI dataset in Qilian Mountain area
(1986–2017), National Tibetan Plateau Data Center, https://doi.org/10.11888/Geogra.tpdc.270136, 2019.
Wu, W., Geller, M. A., and Dickinson, R. E.: The response of soil moisture
to long-term variability of precipitation, J. Hydrometeorol., 3, 604–613,
https://doi.org/10.1175/1525-7541(2002)003<0604:TROSMT>2.0.CO;2, 2002.
Pan, X., Kornelsen, K. C., and Coulibaly, P.: Estimating Root Zone Soil Moisture
at Continental Scale Using Neural Networks, J. Am. Water Resour. Assoc., 53,
220–237, https://doi.org/10.1111/1752-1688.12491, 2017.
Yao, Y., Zheng, C., Andrews, C., Zheng, Y., Zhang, A., and Liu, J.: What
Controls the Partitioning between Baseflow and Mountain Block Recharge in
the Qinghai-Tibet Plateau?, Geophys. Res. Lett., 44, 8352–8358,
https://doi.org/10.1002/2017GL074344, 2017.
Zeng, J., Li, Z., Chen, Q., Bi, H., Qiu, J., and Zou, P.: Evaluation of
remotely sensed and reanalysis soil moisture products over the Tibetan
Plateau using in-situ observations, Remote Sens. Environ., 163, 91–110,
https://doi.org/10.1016/j.rse.2015.03.008, 2015.
Zhang, L., He, C., and Zhang, M.: Multi-Scale Evaluation of the SMAP Product
Using Sparse In-Situ Network over a High Mountainous Watershed, Northwest
China, Remote Sens., 9, 1111, https://doi.org/10.3390/rs9111111, 2017b.
Zhang, N., Quiring, S., Ochsner, T., and Ford, T.: Comparison of Three
Methods for Vertical Extrapolation of Soil Moisture in Oklahoma, Vadose Zone
J., 16, 1–9, https://doi.org/10.2136/vzj2017.04.0085, 2017a.
Zhao, H., Zeng, Y., Lv, S., and Su, Z.: Analysis of soil hydraulic and thermal properties for land surface modeling over the Tibetan Plateau, Earth Syst. Sci. Data, 10, 1031–1061, https://doi.org/10.5194/essd-10-1031-2018, 2018.
Zhao, L., Yang, K., Qin, J., Chen, Y., Tang, W., Montzka, C., Wu, H., Lin,
C., Han, M., and Vereecken, H.: Spatiotemporal analysis of soil moisture
observations within a Tibetan mesoscale area and its implication to regional
soil moisture measurements, J. Hydrol., 482, 92–104,
https://doi.org/10.1016/j.jhydrol.2012.12.033, 2013.
Zhao, L., Yang, K., Qin, J., Chen, Y., Tang, W., Lu, H., and Yang, Z.-L.:
The scale-dependence of SMOS soil moisture accuracy and its improvement
through land data assimilation in the central Tibetan Plateau, Remote Sens.
Environ., 152, 345–355, https://doi.org/10.1016/j.rse.2014.07.005, 2014.
Zhao, W. and Li, A.: A comparison study on empirical microwave soil
moisture downscaling methods based on the integration of
microwave-optical/IR data on the Tibetan Plateau, Int. J. Remote Sens., 36,
4986–5002, https://doi.org/10.1080/01431161.2015.1041178, 2015.
Zhou, J., Cai, W., Qin, Y., Lai, L., Guan, T., Zhang, X., Jiang, L., Du, H.,
Yang, D., Cong, Z., and Zheng, Y.: Alpine vegetation phenology dynamic over
16 years and its covariation with climate in a semi-arid region of China,
Sci. Total Environ., 572, 119–128,
https://doi.org/10.1016/j.scitotenv.2016.07.206, 2016.
Short summary
Large-scale profile soil moisture (SM) is important for water resource management, but its estimation is a challenge. Thus, based on in situ SM observations in a cold mountain, a strong relationship between the surface SM and subsurface SM is found. Both the subsurface SM of 10–30 cm and the profile SM of 0–70 cm can be estimated from the surface SM of 0–10 cm accurately. By combing with the satellite product, we improve the large-scale profile SM estimation in the cold mountains finally.
Large-scale profile soil moisture (SM) is important for water resource management, but its...
