Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-3045-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3045-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
EcH2O-iso 1.0: water isotopes and age tracking in a process-based, distributed ecohydrological model
Sylvain Kuppel
Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, UK
Doerthe Tetzlaff
CORRESPONDING AUTHOR
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 12587 Berlin, Germany
Department of Geography, Humboldt University Berlin, 10099 Berlin, Germany
Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, UK
Marco P. Maneta
Geosciences Department, University of Montana, Missoula, MT 59812-1296, USA
Chris Soulsby
Northern Rivers Institute, University of Aberdeen, Aberdeen, AB24 3UF, UK
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 12587 Berlin, Germany
Related authors
Vladislav Bastrikov, Natasha MacBean, Cédric Bacour, Diego Santaren, Sylvain Kuppel, and Philippe Peylin
Geosci. Model Dev., 11, 4739–4754, https://doi.org/10.5194/gmd-11-4739-2018, https://doi.org/10.5194/gmd-11-4739-2018, 2018
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In this study, we compare different methods for optimising parameters of the ORCHIDEE land surface model (LSM) using in situ observations. We use two minimisation methods - local gradient-based and global random search - applied either at each individual site or a group of sites characterised by one plant functional type. We demonstrate the advantages and challenges of different techniques and provide some advice on using it for the LSM parameters optimisation.
Philippe Peylin, Cédric Bacour, Natasha MacBean, Sébastien Leonard, Peter Rayner, Sylvain Kuppel, Ernest Koffi, Abdou Kane, Fabienne Maignan, Frédéric Chevallier, Philippe Ciais, and Pascal Prunet
Geosci. Model Dev., 9, 3321–3346, https://doi.org/10.5194/gmd-9-3321-2016, https://doi.org/10.5194/gmd-9-3321-2016, 2016
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The study describes a carbon cycle data assimilation system that uses satellite observations of vegetation activity, net ecosystem exchange of carbon and water at many sites and atmospheric CO2 concentrations, in order to optimize the parameters of the ORCHIDEE land surface model. The optimized model is able to fit all three data streams leading to a land carbon uptake similar to independent estimates, which opens new perspectives for better prediction of the land carbon balance.
S. Kuppel, P. Peylin, F. Maignan, F. Chevallier, G. Kiely, L. Montagnani, and A. Cescatti
Geosci. Model Dev., 7, 2581–2597, https://doi.org/10.5194/gmd-7-2581-2014, https://doi.org/10.5194/gmd-7-2581-2014, 2014
Short summary
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A consistent calibration of an advanced land surface model was performed by grouping in situ information on land-atmosphere exchanges of carbon and water using broad ecosystem and climate classes. Signatures of improved carbon cycle simulations were found across spatial and temporal scales, along with insights into current model limitations. These results hold promising perspectives within the ongoing efforts towards building robust model-data fusion frameworks for earth system models.
S. Kuppel, F. Chevallier, and P. Peylin
Geosci. Model Dev., 6, 45–55, https://doi.org/10.5194/gmd-6-45-2013, https://doi.org/10.5194/gmd-6-45-2013, 2013
Doerthe Tetzlaff, Aaron Smith, Lukas Kleine, Hauke Daempfling, Jonas Freymueller, and Chris Soulsby
Earth Syst. Sci. Data, 15, 1543–1554, https://doi.org/10.5194/essd-15-1543-2023, https://doi.org/10.5194/essd-15-1543-2023, 2023
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We present a comprehensive set of ecohydrological hydrometric and stable water isotope data of 2 years of data. The data set is unique as the different compartments of the landscape were sampled and the effects of a prolonged drought (2018–2020) captured by a marked negative rainfall anomaly (the most severe regional drought of the 21st century). Thus, the data allow the drought effects on water storage, flux and age dynamics, and persistence of lowland landscapes to be investigated.
Xiaoqiang Yang, Doerthe Tetzlaff, Chris Soulsby, and Dietrich Borchardt
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-239, https://doi.org/10.5194/gmd-2022-239, 2022
Preprint retracted
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We develop the catchment water quality assessment platform HiWaQ v1.0, which is compatible with multiple hydrological model structures. The nitrogen module (HiWaQ-N) and its coupling tests with two contrasting grid-based hydrological models demonstrate the robustness of the platform in estimating catchment N dynamics. With the unique design of the coupling flexibility, HiWaQ can leverage advancements in hydrological modelling and advance integrated catchment water quantity-quality assessments.
Guangxuan Li, Xi Chen, Zhicai Zhang, Lichun Wang, and Chris Soulsby
Hydrol. Earth Syst. Sci., 26, 5515–5534, https://doi.org/10.5194/hess-26-5515-2022, https://doi.org/10.5194/hess-26-5515-2022, 2022
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We developed a coupled flow–tracer model to understand the effects of passive storage on modeling hydrological function and isotope dynamics in a karst flow system. Models with passive storages show improvement in matching isotope dynamics performance, and the improved performance also strongly depends on the number and location of passive storages. Our results also suggested that the solute transport is primarily controlled by advection and hydrodynamic dispersion in the steep hillslope unit.
Aaron Smith, Doerthe Tetzlaff, Jessica Landgraf, Maren Dubbert, and Chris Soulsby
Biogeosciences, 19, 2465–2485, https://doi.org/10.5194/bg-19-2465-2022, https://doi.org/10.5194/bg-19-2465-2022, 2022
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This research utilizes high-spatiotemporal-resolution soil and vegetation measurements, including water stable isotopes, within an ecohydrological model to partition water flux dynamics and identify flow paths and durations. Results showed high vegetation water use and high spatiotemporal dynamics of vegetation water source and vegetation isotopes. The evaluation of these dynamics further revealed relatively fast flow paths through both shallow soil and vegetation.
Jessica Landgraf, Dörthe Tetzlaff, Maren Dubbert, David Dubbert, Aaron Smith, and Chris Soulsby
Hydrol. Earth Syst. Sci., 26, 2073–2092, https://doi.org/10.5194/hess-26-2073-2022, https://doi.org/10.5194/hess-26-2073-2022, 2022
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Using water stable isotopes, we studied from which water source (lake water, stream water, groundwater, or soil water) two willows were taking their water. We monitored the environmental conditions (e.g. air temperature and soil moisture) and the behaviour of the trees (water flow in the stem). We found that the most likely water sources of the willows were the upper soil layers but that there were seasonal dynamics.
Aaron J. Neill, Christian Birkel, Marco P. Maneta, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 4861–4886, https://doi.org/10.5194/hess-25-4861-2021, https://doi.org/10.5194/hess-25-4861-2021, 2021
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Structural changes (cover and height of vegetation plus tree canopy characteristics) to forests during regeneration on degraded land affect how water is partitioned between streamflow, groundwater recharge and evapotranspiration. Partitioning most strongly deviates from baseline conditions during earlier stages of regeneration with dense forest, while recovery may be possible as the forest matures and opens out. This has consequences for informing sustainable landscape restoration strategies.
Mikael Gillefalk, Dörthe Tetzlaff, Reinhard Hinkelmann, Lena-Marie Kuhlemann, Aaron Smith, Fred Meier, Marco P. Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 3635–3652, https://doi.org/10.5194/hess-25-3635-2021, https://doi.org/10.5194/hess-25-3635-2021, 2021
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We used a tracer-aided ecohydrological model to quantify water flux–storage–age interactions for three urban vegetation types: trees, shrub and grass. The model results showed that evapotranspiration increased in the order shrub < grass < trees during one growing season. Additionally, we could show how
infiltration hotspotscreated by runoff from sealed onto vegetated surfaces can enhance both evapotranspiration and groundwater recharge.
Aaron Smith, Doerthe Tetzlaff, Lukas Kleine, Marco Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 2239–2259, https://doi.org/10.5194/hess-25-2239-2021, https://doi.org/10.5194/hess-25-2239-2021, 2021
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We used a tracer-aided ecohydrological model on a mixed land use catchment in northeastern Germany to quantify water flux–storage–age interactions at four model grid resolutions. The model's ability to reproduce spatio-temporal flux–storage–age interactions decreases with increasing model grid sizes. Similarly, larger model grids showed vegetation-influenced changes in blue and green water partitioning. Simulations reveal the value of measured soil and stream isotopes for model calibration.
Jenna R. Snelgrove, James M. Buttle, Matthew J. Kohn, and Dörthe Tetzlaff
Hydrol. Earth Syst. Sci., 25, 2169–2186, https://doi.org/10.5194/hess-25-2169-2021, https://doi.org/10.5194/hess-25-2169-2021, 2021
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Co-evolution of plant and soil water isotopic composition throughout the growing season in a little-studied northern mixed forest landscape was explored. Marked inter-specific differences in the isotopic composition of xylem water relative to surrounding soil water occurred, despite thin soil cover constraining inter-species differences in rooting depths. We provide potential explanations for differences in temporal evolution of xylem water isotopic composition in this northern landscape.
Lena-Marie Kuhlemann, Doerthe Tetzlaff, Aaron Smith, Birgit Kleinschmit, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 927–943, https://doi.org/10.5194/hess-25-927-2021, https://doi.org/10.5194/hess-25-927-2021, 2021
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We studied water partitioning under urban grassland, shrub and trees during a warm and dry growing season in Berlin, Germany. Soil evaporation was highest under grass, but total green water fluxes and turnover time of soil water were greater under trees. Lowest evapotranspiration losses under shrub indicate potential higher drought resilience. Knowledge of water partitioning and requirements of urban green will be essential for better adaptive management of urban water and irrigation strategies.
Lukas Kleine, Doerthe Tetzlaff, Aaron Smith, Hailong Wang, and Chris Soulsby
Hydrol. Earth Syst. Sci., 24, 3737–3752, https://doi.org/10.5194/hess-24-3737-2020, https://doi.org/10.5194/hess-24-3737-2020, 2020
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We investigated the effects of the 2018 drought on water partitioning in a lowland catchment under grassland and forest in north-eastern Germany. Conditions resulted in drying up of streams, yield losses, and lower groundwater levels. Oak trees continued to transpire during the drought. We used stable isotopes to assess the fluxes and ages of water. Sustainable use of resource water requires such understanding of ecohydrological water partitioning.
Aaron Smith, Doerthe Tetzlaff, Hjalmar Laudon, Marco Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 23, 3319–3334, https://doi.org/10.5194/hess-23-3319-2019, https://doi.org/10.5194/hess-23-3319-2019, 2019
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We adapted and used a spatially distributed eco-hydrological model, EcH2O-iso, to temporally evaluate the influence of soil freeze–thaw dynamics on evaporation and transpiration fluxes in a northern Swedish catchment. We used multi-criterion calibration over multiple years and found an early-season influence of soil frost on transpiration water ages. This work provides a framework for quantifying the current and future interactions of soil water, evaporation, and transpiration.
Thea I. Piovano, Doerthe Tetzlaff, Sean K. Carey, Nadine J. Shatilla, Aaron Smith, and Chris Soulsby
Hydrol. Earth Syst. Sci., 23, 2507–2523, https://doi.org/10.5194/hess-23-2507-2019, https://doi.org/10.5194/hess-23-2507-2019, 2019
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We adapted the spatially distributed, tracer-aided model, STARR, to a permafrost-influenced catchment in the Yukon Territory, Canada, with a time-variable implementation of field capacity to capture thaw layer spatio-temporal dynamics. We applied a multi-criteria calibration with multi-year field data. This study demonstrates the value of the integration of isotope data in a spatially distributed model to quantify catchment water storage and age dynamics in a permafrost-influenced environment.
Hongkai Gao, Christian Birkel, Markus Hrachowitz, Doerthe Tetzlaff, Chris Soulsby, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 23, 787–809, https://doi.org/10.5194/hess-23-787-2019, https://doi.org/10.5194/hess-23-787-2019, 2019
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Supported by large-sample ecological observations, a novel, simple and topography-driven runoff generation module (HSC-MCT) was created. The HSC-MCT is calibration-free, and therefore it can be used to predict in ungauged basins, and has great potential to be generalized at the global scale. Also, it allows us to reproduce the variation of saturation areas, which has great potential to be used for broader hydrological, ecological, climatological, and biogeochemical studies.
Zhicai Zhang, Xi Chen, Qinbo Cheng, and Chris Soulsby
Hydrol. Earth Syst. Sci., 23, 51–71, https://doi.org/10.5194/hess-23-51-2019, https://doi.org/10.5194/hess-23-51-2019, 2019
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We developed a new tracer-aided hydrological model for karst catchments. This model captured the flow and tracer dynamics within each landscape unit quite well, and we could estimate the storage, fluxes and age of water within each. Such tracer-aided models enhance our understanding of the hydrological connectivity between different landscape units and the mixing processes between various flow sources. It is an encouraging step forward in tracer-aided modelling of karst catchments.
Vladislav Bastrikov, Natasha MacBean, Cédric Bacour, Diego Santaren, Sylvain Kuppel, and Philippe Peylin
Geosci. Model Dev., 11, 4739–4754, https://doi.org/10.5194/gmd-11-4739-2018, https://doi.org/10.5194/gmd-11-4739-2018, 2018
Short summary
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In this study, we compare different methods for optimising parameters of the ORCHIDEE land surface model (LSM) using in situ observations. We use two minimisation methods - local gradient-based and global random search - applied either at each individual site or a group of sites characterised by one plant functional type. We demonstrate the advantages and challenges of different techniques and provide some advice on using it for the LSM parameters optimisation.
Matthias Sprenger, Doerthe Tetzlaff, Jim Buttle, Hjalmar Laudon, and Chris Soulsby
Hydrol. Earth Syst. Sci., 22, 3965–3981, https://doi.org/10.5194/hess-22-3965-2018, https://doi.org/10.5194/hess-22-3965-2018, 2018
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We estimated water ages in the upper critical zone with a soil physical model (SWIS) and found that the age of water stored in the soil, as well as of water leaving the soil via evaporation, transpiration, or recharge, was younger the higher soil water storage (inverse storage effect). Travel times of transpiration and evaporation were different. We conceptualized the subsurface into fast and slow flow domains and the water was usually half as young in the fast as in the slow flow domain.
Aaron A. Smith, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-57, https://doi.org/10.5194/hess-2018-57, 2018
Preprint withdrawn
Pertti Ala-aho, Doerthe Tetzlaff, James P. McNamara, Hjalmar Laudon, and Chris Soulsby
Hydrol. Earth Syst. Sci., 21, 5089–5110, https://doi.org/10.5194/hess-21-5089-2017, https://doi.org/10.5194/hess-21-5089-2017, 2017
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We used the Spatially Distributed Tracer-Aided Rainfall-Runoff model (STARR) to simulate streamflows, stable water isotope ratios, snowpack dynamics, and water ages in three snow-influenced experimental catchments with exceptionally long and rich datasets. Our simulations reproduced the hydrological observations in all three catchments, suggested contrasting stream water age distributions between catchments, and demonstrated the importance of snow isotope processes in tracer-aided modelling.
Matthias Sprenger, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci., 21, 3839–3858, https://doi.org/10.5194/hess-21-3839-2017, https://doi.org/10.5194/hess-21-3839-2017, 2017
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We sampled the isotopic composition in the top 20 cm at four different sites in the Scottish Highlands at 5 cm intervals over 1 year. The relationship between the soil water isotopic fractionation and evapotranspiration showed a hysteresis pattern due to a lag response to onset and offset of the evaporative losses. The isotope data revealed that vegetation had a significant influence on the soil evaporation with evaporation being double from soils beneath Scots pine compared to heather.
Philippe Peylin, Cédric Bacour, Natasha MacBean, Sébastien Leonard, Peter Rayner, Sylvain Kuppel, Ernest Koffi, Abdou Kane, Fabienne Maignan, Frédéric Chevallier, Philippe Ciais, and Pascal Prunet
Geosci. Model Dev., 9, 3321–3346, https://doi.org/10.5194/gmd-9-3321-2016, https://doi.org/10.5194/gmd-9-3321-2016, 2016
Short summary
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The study describes a carbon cycle data assimilation system that uses satellite observations of vegetation activity, net ecosystem exchange of carbon and water at many sites and atmospheric CO2 concentrations, in order to optimize the parameters of the ORCHIDEE land surface model. The optimized model is able to fit all three data streams leading to a land carbon uptake similar to independent estimates, which opens new perspectives for better prediction of the land carbon balance.
J. R. Poulsen, E. Sebok, C. Duque, D. Tetzlaff, and P. K. Engesgaard
Hydrol. Earth Syst. Sci., 19, 1871–1886, https://doi.org/10.5194/hess-19-1871-2015, https://doi.org/10.5194/hess-19-1871-2015, 2015
S. Kuppel, P. Peylin, F. Maignan, F. Chevallier, G. Kiely, L. Montagnani, and A. Cescatti
Geosci. Model Dev., 7, 2581–2597, https://doi.org/10.5194/gmd-7-2581-2014, https://doi.org/10.5194/gmd-7-2581-2014, 2014
Short summary
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A consistent calibration of an advanced land surface model was performed by grouping in situ information on land-atmosphere exchanges of carbon and water using broad ecosystem and climate classes. Signatures of improved carbon cycle simulations were found across spatial and temporal scales, along with insights into current model limitations. These results hold promising perspectives within the ongoing efforts towards building robust model-data fusion frameworks for earth system models.
M. Hrachowitz, H. Savenije, T. A. Bogaard, D. Tetzlaff, and C. Soulsby
Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, https://doi.org/10.5194/hess-17-533-2013, 2013
S. Kuppel, F. Chevallier, and P. Peylin
Geosci. Model Dev., 6, 45–55, https://doi.org/10.5194/gmd-6-45-2013, https://doi.org/10.5194/gmd-6-45-2013, 2013
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Jarno Verkaik, Edwin H. Sutanudjaja, Gualbert H. P. Oude Essink, Hai Xiang Lin, and Marc F. P. Bierkens
Geosci. Model Dev., 17, 275–300, https://doi.org/10.5194/gmd-17-275-2024, https://doi.org/10.5194/gmd-17-275-2024, 2024
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This paper presents the parallel PCR-GLOBWB global-scale groundwater model at 30 arcsec resolution (~1 km at the Equator). Named GLOBGM v1.0, this model is a follow-up of the 5 arcmin (~10 km) model, aiming for a higher-resolution simulation of worldwide fresh groundwater reserves under climate change and excessive pumping. For a long transient simulation using a parallel prototype of MODFLOW 6, we show that our implementation is efficient for a relatively low number of processor cores.
Han Qiu, Gautam Bisht, Lingcheng Li, Dalei Hao, and Donghui Xu
Geosci. Model Dev., 17, 143–167, https://doi.org/10.5194/gmd-17-143-2024, https://doi.org/10.5194/gmd-17-143-2024, 2024
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We developed and validated an inter-grid-cell lateral groundwater flow model for both saturated and unsaturated zone in the ELMv2.0 framework. The developed model was benchmarked against PFLOTRAN, a 3D subsurface flow and transport model and showed comparable performance with PFLOTRAN. The developed model was also applied to the Little Washita experimental watershed. The spatial pattern of simulated groundwater table depth agreed well with the global groundwater table benchmark dataset.
Daniel Boateng and Sebastian G. Mutz
Geosci. Model Dev., 16, 6479–6514, https://doi.org/10.5194/gmd-16-6479-2023, https://doi.org/10.5194/gmd-16-6479-2023, 2023
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We present an open-source Python framework for performing empirical-statistical downscaling of climate information, such as precipitation. The user-friendly package comprises all the downscaling cycles including data preparation, model selection, training, and evaluation, designed in an efficient and flexible manner, allowing for quick and reproducible downscaling products. The framework would contribute to climate change impact assessments by generating accurate high-resolution climate data.
Masaya Yoshikai, Takashi Nakamura, Eugene C. Herrera, Rempei Suwa, Rene Rollon, Raghab Ray, Keita Furukawa, and Kazuo Nadaoka
Geosci. Model Dev., 16, 5847–5863, https://doi.org/10.5194/gmd-16-5847-2023, https://doi.org/10.5194/gmd-16-5847-2023, 2023
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Due to complex root system structures, representing the impacts of Rhizophora mangroves on flow in hydrodynamic models has been challenging. This study presents a new drag and turbulence model that leverages an empirical model for root systems. The model can be applied without rigorous measurements of root structures and showed high performance in flow simulations; this may provide a better understanding of hydrodynamics and related transport processes in Rhizophora mangrove forests.
Hao Chen, Tiejun Wang, Yonggen Zhang, Yun Bai, and Xi Chen
Geosci. Model Dev., 16, 5685–5701, https://doi.org/10.5194/gmd-16-5685-2023, https://doi.org/10.5194/gmd-16-5685-2023, 2023
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Effectively assembling multiple models for approaching a benchmark solution remains a long-standing issue for various geoscience domains. We here propose an automated machine learning-assisted ensemble framework (AutoML-Ens) that attempts to resolve this challenge. Results demonstrate the great potential of AutoML-Ens for improving estimations due to its two unique features, i.e., assigning dynamic weights for candidate models and taking full advantage of AutoML-assisted workflow.
Guta Wakbulcho Abeshu, Fuqiang Tian, Thomas Wild, Mengqi Zhao, Sean Turner, A. F. M. Kamal Chowdhury, Chris R. Vernon, Hongchang Hu, Yuan Zhuang, Mohamad Hejazi, and Hong-Yi Li
Geosci. Model Dev., 16, 5449–5472, https://doi.org/10.5194/gmd-16-5449-2023, https://doi.org/10.5194/gmd-16-5449-2023, 2023
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Most existing global hydrologic models do not explicitly represent hydropower reservoirs. We are introducing a new water management module to Xanthos that distinguishes between the operational characteristics of irrigation, hydropower, and flood control reservoirs. We show that this explicit representation of hydropower reservoirs can lead to a significantly more realistic simulation of reservoir storage and releases in over 44 % of the hydropower reservoirs included in this study.
Javier Diez-Sierra, Salvador Navas, and Manuel del Jesus
Geosci. Model Dev., 16, 5035–5048, https://doi.org/10.5194/gmd-16-5035-2023, https://doi.org/10.5194/gmd-16-5035-2023, 2023
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NEOPRENE is an open-source, freely available library allowing scientists and practitioners to generate synthetic time series and maps of rainfall. These outputs will help to explore plausible events that were never observed in the past but may occur in the near future and to generate possible future events under climate change conditions. The paper shows how to use the library to downscale daily precipitation and how to use synthetic generation to improve our characterization of extreme events.
Adam Pasik, Alexander Gruber, Wolfgang Preimesberger, Domenico De Santis, and Wouter Dorigo
Geosci. Model Dev., 16, 4957–4976, https://doi.org/10.5194/gmd-16-4957-2023, https://doi.org/10.5194/gmd-16-4957-2023, 2023
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We apply the exponential filter (EF) method to satellite soil moisture retrievals to estimate the water content in the unobserved root zone globally from 2002–2020. Quality assessment against an independent dataset shows satisfactory results. Error characterization is carried out using the standard uncertainty propagation law and empirically estimated values of EF model structural uncertainty and parameter uncertainty. This is followed by analysis of temporal uncertainty variations.
Po-Wei Huang, Bernd Flemisch, Chao-Zhong Qin, Martin O. Saar, and Anozie Ebigbo
Geosci. Model Dev., 16, 4767–4791, https://doi.org/10.5194/gmd-16-4767-2023, https://doi.org/10.5194/gmd-16-4767-2023, 2023
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Water in natural environments consists of many ions. Ions are electrically charged and exert electric forces on each other. We discuss whether the electric forces are relevant in describing mixing and reaction processes in natural environments. By comparing our computer simulations to lab experiments in literature, we show that the electric interactions between ions can play an essential role in mixing and reaction processes, in which case they should not be neglected in numerical modeling.
Guoqiang Tang, Andrew W. Wood, Andrew J. Newman, Martyn P. Clark, and Simon Michael Papalexiou
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-172, https://doi.org/10.5194/gmd-2023-172, 2023
Revised manuscript accepted for GMD
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Ensemble geophysical datasets are crucial for understanding uncertainties and supporting probabilistic estimation/prediction. However, open-access tools for creating these datasets are limited. We have developed a Python-based Geospatial Probabilistic Estimation Package (GPEP). Through several experiments, we demonstrate GPEP's ability to estimate precipitation, temperature, and snow water equivalent. GPEP will be a useful tool to support uncertainty analysis in Earth science applications.
Edward R. Jones, Marc F. P. Bierkens, Niko Wanders, Edwin H. Sutanudjaja, Ludovicus P. H. van Beek, and Michelle T. H. van Vliet
Geosci. Model Dev., 16, 4481–4500, https://doi.org/10.5194/gmd-16-4481-2023, https://doi.org/10.5194/gmd-16-4481-2023, 2023
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DynQual is a new high-resolution global water quality model for simulating total dissolved solids, biological oxygen demand and fecal coliform as indicators of salinity, organic pollution and pathogen pollution, respectively. Output data from DynQual can supplement the observational record of water quality data, which is highly fragmented across space and time, and has the potential to inform assessments in a broad range of fields including ecological, human health and water scarcity studies.
Atabek Umirbekov, Richard Essery, and Daniel Müller
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-103, https://doi.org/10.5194/gmd-2023-103, 2023
Revised manuscript accepted for GMD
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We present a new snow model which simulates snow mass without the need for extensive calibration. The model is based on a machine learning algorithm that has been trained on diverse set of daily observations of snow accumulation or melt, along with corresponding climate and topography data. We validated the model using in-situ data from numerous new locations. The model provides a promising solution for accurate snow mass estimation across regions where in-situ data is limited.
Hugo Delottier, John Doherty, and Philip Brunner
Geosci. Model Dev., 16, 4213–4231, https://doi.org/10.5194/gmd-16-4213-2023, https://doi.org/10.5194/gmd-16-4213-2023, 2023
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Long run times are usually a barrier to the quantification and reduction of predictive uncertainty with complex hydrological models. Data space inversion (DSI) provides an alternative and highly model-run-efficient method for uncertainty quantification. This paper demonstrates DSI's ability to robustly quantify predictive uncertainty and extend the methodology to provide practical metrics that can guide data acquisition and analysis to achieve goals of decision-support modelling.
Pedro Felipe Arboleda-Obando, Agnès Ducharne, Zun Yin, and Philippe Ciais
EGUsphere, https://doi.org/10.5194/egusphere-2023-1323, https://doi.org/10.5194/egusphere-2023-1323, 2023
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In this study, we show a new irrigation scheme included in ORCHIDEE land surface model. The new irrigation scheme restraint irrigation due to water shortage, includes water adduction, and represents environmental limits and facility to access water due to infrastructure in a simple way. Our results show that the new irrigation scheme helps simulating acceptable land surface conditions and fluxes in irrigated areas, even if there are difficulties due to shortcomings and limited information.
Lele Shu, Paul Ullrich, Xianghong Meng, Christopher Duffy, Hao Chen, and Zhaoguo Li
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-128, https://doi.org/10.5194/gmd-2023-128, 2023
Revised manuscript accepted for GMD
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Our team developed rSHUD v2.0, a toolkit that simplifies the use of the SHUD, a model simulating water movement in the environment. We demonstrated its effectiveness in two watersheds, one in the USA and one in China. The toolkit also facilitated the creation of the Global Hydrological Data Cloud, a platform for automatic data processing and model deployment, marking a significant advancement in hydrological research.
Zhipin Ai and Naota Hanasaki
Geosci. Model Dev., 16, 3275–3290, https://doi.org/10.5194/gmd-16-3275-2023, https://doi.org/10.5194/gmd-16-3275-2023, 2023
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Simultaneously simulating food production and the requirements and availability of water resources in a spatially explicit manner within a single framework remains challenging on a global scale. Here, we successfully enhanced the global hydrological model H08 that considers human water use and management to simulate the yields of four major staple crops: maize, wheat, rice, and soybean. Our improved model will be beneficial for advancing global food–water nexus studies in the future.
Emilie Rouzies, Claire Lauvernet, Bruno Sudret, and Arthur Vidard
Geosci. Model Dev., 16, 3137–3163, https://doi.org/10.5194/gmd-16-3137-2023, https://doi.org/10.5194/gmd-16-3137-2023, 2023
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Water and pesticide transfer models are complex and should be simplified to be used in decision support. Indeed, these models simulate many spatial processes in interaction, involving a large number of parameters. Sensitivity analysis allows us to select the most influential input parameters, but it has to be adapted to spatial modelling. This study will identify relevant methods that can be transposed to any hydrological and water quality model and improve the fate of pesticide knowledge.
Guoding Chen, Ke Zhang, Sheng Wang, Yi Xia, and Lijun Chao
Geosci. Model Dev., 16, 2915–2937, https://doi.org/10.5194/gmd-16-2915-2023, https://doi.org/10.5194/gmd-16-2915-2023, 2023
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In this study, we developed a novel modeling system called iHydroSlide3D v1.0 by coupling a modified a 3D landslide model with a distributed hydrology model. The model is able to apply flexibly different simulating resolutions for hydrological and slope stability submodules and gain a high computational efficiency through parallel computation. The test results in the Yuehe River basin, China, show a good predicative capability for cascading flood–landslide events.
Jens A. de Bruijn, Mikhail Smilovic, Peter Burek, Luca Guillaumot, Yoshihide Wada, and Jeroen C. J. H. Aerts
Geosci. Model Dev., 16, 2437–2454, https://doi.org/10.5194/gmd-16-2437-2023, https://doi.org/10.5194/gmd-16-2437-2023, 2023
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We present a computer simulation model of the hydrological system and human system, which can simulate the behaviour of individual farmers and their interactions with the water system at basin scale to assess how the systems have evolved and are projected to evolve in the future. For example, we can simulate the effect of subsidies provided on investment in adaptation measures and subsequent effects in the hydrological system, such as a lowering of the groundwater table or reservoir level.
Matthew D. Wilson and Thomas J. Coulthard
Geosci. Model Dev., 16, 2415–2436, https://doi.org/10.5194/gmd-16-2415-2023, https://doi.org/10.5194/gmd-16-2415-2023, 2023
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During flooding, the sources of water that inundate a location can influence impacts such as pollution. However, methods to trace water sources in flood events are currently only available in complex, computationally expensive hydraulic models. We propose a simplified method which can be added to efficient, reduced-complexity model codes, enabling an improved understanding of flood dynamics and its impacts. We demonstrate its application for three sites at a range of spatial and temporal scales.
Bibi S. Naz, Wendy Sharples, Yueling Ma, Klaus Goergen, and Stefan Kollet
Geosci. Model Dev., 16, 1617–1639, https://doi.org/10.5194/gmd-16-1617-2023, https://doi.org/10.5194/gmd-16-1617-2023, 2023
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It is challenging to apply a high-resolution integrated land surface and groundwater model over large spatial scales. In this paper, we demonstrate the application of such a model over a pan-European domain at 3 km resolution and perform an extensive evaluation of simulated water states and fluxes by comparing with in situ and satellite data. This study can serve as a benchmark and baseline for future studies of climate change impact projections and for hydrological forecasting.
Jiangtao Liu, David Hughes, Farshid Rahmani, Kathryn Lawson, and Chaopeng Shen
Geosci. Model Dev., 16, 1553–1567, https://doi.org/10.5194/gmd-16-1553-2023, https://doi.org/10.5194/gmd-16-1553-2023, 2023
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Under-monitored regions like Africa need high-quality soil moisture predictions to help with food production, but it is not clear if soil moisture processes are similar enough around the world for data-driven models to maintain accuracy. We present a deep-learning-based soil moisture model that learns from both in situ data and satellite data and performs better than satellite products at the global scale. These results help us apply our model globally while better understanding its limitations.
Daniel Caviedes-Voullième, Mario Morales-Hernández, Matthew R. Norman, and Ilhan Özgen-Xian
Geosci. Model Dev., 16, 977–1008, https://doi.org/10.5194/gmd-16-977-2023, https://doi.org/10.5194/gmd-16-977-2023, 2023
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This paper introduces the SERGHEI framework and a solver for shallow-water problems. Such models, often used for surface flow and flood modelling, are computationally intense. In recent years the trends to increase computational power have changed, requiring models to adapt to new hardware and new software paradigms. SERGHEI addresses these challenges, allowing surface flow simulation to be enabled on the newest and upcoming consumer hardware and supercomputers very efficiently.
Andrew M. Ireson, Raymond J. Spiteri, Martyn P. Clark, and Simon A. Mathias
Geosci. Model Dev., 16, 659–677, https://doi.org/10.5194/gmd-16-659-2023, https://doi.org/10.5194/gmd-16-659-2023, 2023
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Richards' equation (RE) is used to describe the movement and storage of water in a soil profile and is a component of many hydrological and earth-system models. Solving RE numerically is challenging due to the non-linearities in the properties. Here, we present a simple but effective and mass-conservative solution to solving RE, which is ideal for teaching/learning purposes but also useful in prototype models that are used to explore alternative process representations.
Fang Wang, Di Tian, and Mark Carroll
Geosci. Model Dev., 16, 535–556, https://doi.org/10.5194/gmd-16-535-2023, https://doi.org/10.5194/gmd-16-535-2023, 2023
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Gridded precipitation datasets suffer from biases and coarse resolutions. We developed a customized deep learning (DL) model to bias-correct and downscale gridded precipitation data using radar observations. The results showed that the customized DL model can generate improved precipitation at fine resolutions where regular DL and statistical methods experience challenges. The new model can be used to improve precipitation estimates, especially for capturing extremes at smaller scales.
Malak Sadki, Simon Munier, Aaron Boone, and Sophie Ricci
Geosci. Model Dev., 16, 427–448, https://doi.org/10.5194/gmd-16-427-2023, https://doi.org/10.5194/gmd-16-427-2023, 2023
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Predicting water resource evolution is a key challenge for the coming century.
Anthropogenic impacts on water resources, and particularly the effects of dams and reservoirs on river flows, are still poorly known and generally neglected in global hydrological studies. A parameterized reservoir model is reproduced to compute monthly releases in Spanish anthropized river basins. For global application, an exhaustive sensitivity analysis of the model parameters is performed on flows and volumes.
Nicolas Flipo, Nicolas Gallois, and Jonathan Schuite
Geosci. Model Dev., 16, 353–381, https://doi.org/10.5194/gmd-16-353-2023, https://doi.org/10.5194/gmd-16-353-2023, 2023
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A new approach is proposed to fit hydrological or land surface models, which suffer from large uncertainties in terms of water partitioning between fast runoff and slow infiltration from small watersheds to regional or continental river basins. It is based on the analysis of hydrosystem behavior in the frequency domain, which serves as a basis for estimating water flows in the time domain with a physically based model. It opens the way to significant breakthroughs in hydrological modeling.
Joachim Meyer, John Horel, Patrick Kormos, Andrew Hedrick, Ernesto Trujillo, and S. McKenzie Skiles
Geosci. Model Dev., 16, 233–250, https://doi.org/10.5194/gmd-16-233-2023, https://doi.org/10.5194/gmd-16-233-2023, 2023
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Freshwater resupply from seasonal snow in the mountains is changing. Current water prediction methods from snow rely on historical data excluding the change and can lead to errors. This work presented and evaluated an alternative snow-physics-based approach. The results in a test watershed were promising, and future improvements were identified. Adaptation to current forecast environments would improve resilience to the seasonal snow changes and helps ensure the accuracy of resupply forecasts.
Shuqi Lin, Donald C. Pierson, and Jorrit P. Mesman
Geosci. Model Dev., 16, 35–46, https://doi.org/10.5194/gmd-16-35-2023, https://doi.org/10.5194/gmd-16-35-2023, 2023
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The risks brought by the proliferation of algal blooms motivate the improvement of bloom forecasting tools, but algal blooms are complexly controlled and difficult to predict. Given rapid growth of monitoring data and advances in computation, machine learning offers an alternative prediction methodology. This study tested various machine learning workflows in a dimictic mesotrophic lake and gave promising predictions of the seasonal variations and the timing of algal blooms.
Thibault Hallouin, Richard J. Ellis, Douglas B. Clark, Simon J. Dadson, Andrew G. Hughes, Bryan N. Lawrence, Grenville M. S. Lister, and Jan Polcher
Geosci. Model Dev., 15, 9177–9196, https://doi.org/10.5194/gmd-15-9177-2022, https://doi.org/10.5194/gmd-15-9177-2022, 2022
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A new framework for modelling the water cycle in the land system has been implemented. It considers the hydrological cycle as three interconnected components, bringing flexibility in the choice of the physical processes and their spatio-temporal resolutions. It is designed to foster collaborations between land surface, hydrological, and groundwater modelling communities to develop the next-generation of land system models for integration in Earth system models.
Ciaran Harman and Esther Xu Fei
EGUsphere, https://doi.org/10.5194/egusphere-2022-1262, https://doi.org/10.5194/egusphere-2022-1262, 2022
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Over the last 10 years scientists have developed a new way of modeling how material is transported through complex systems, called StorAge Selection. Here we present some new code implementing this method that is easy to use, but also flexible and very accurate. We show that for cases where we know exactly what the answer should be, our code gets the right answer. We also show that our code is closer than some other people's code to the right answer in an important way: it conserves mass.
Seyed Mahmood Hamze-Ziabari, Ulrich Lemmin, Frédéric Soulignac, Mehrshad Foroughan, and David Andrew Barry
Geosci. Model Dev., 15, 8785–8807, https://doi.org/10.5194/gmd-15-8785-2022, https://doi.org/10.5194/gmd-15-8785-2022, 2022
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A procedure combining numerical simulations, remote sensing, and statistical analyses is developed to detect large-scale current systems in large lakes. By applying this novel procedure in Lake Geneva, strategies for detailed transect field studies of the gyres and eddies were developed. Unambiguous field evidence of 3D gyre/eddy structures in full agreement with predictions confirmed the robustness of the proposed procedure.
Kristina Šarović, Melita Burić, and Zvjezdana B. Klaić
Geosci. Model Dev., 15, 8349–8375, https://doi.org/10.5194/gmd-15-8349-2022, https://doi.org/10.5194/gmd-15-8349-2022, 2022
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We develop a simple 1-D model for the prediction of the vertical temperature profiles in small, warm lakes. The model uses routinely measured meteorological variables as well as UVB radiation and yearly mean temperature data. It can be used for the assessment of the onset and duration of lake stratification periods when water temperature data are unavailable, which can be useful for various lake studies performed in other scientific fields, such as biology, geochemistry, and sedimentology.
Jason A. Clark, Elchin E. Jafarov, Ken D. Tape, Benjamin M. Jones, and Victor Stepanenko
Geosci. Model Dev., 15, 7421–7448, https://doi.org/10.5194/gmd-15-7421-2022, https://doi.org/10.5194/gmd-15-7421-2022, 2022
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Lakes in the Arctic are important reservoirs of heat. Under climate warming scenarios, we expect Arctic lakes to warm the surrounding frozen ground. We simulate water temperatures in three Arctic lakes in northern Alaska over several years. Our results show that snow depth and lake ice strongly affect water temperatures during the frozen season and that more heat storage by lakes would enhance thawing of frozen ground.
Danielle S. Grogan, Shan Zuidema, Alex Prusevich, Wilfred M. Wollheim, Stanley Glidden, and Richard B. Lammers
Geosci. Model Dev., 15, 7287–7323, https://doi.org/10.5194/gmd-15-7287-2022, https://doi.org/10.5194/gmd-15-7287-2022, 2022
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This paper describes the University of New Hampshire's water balance model (WBM). This model simulates the land surface components of the global water cycle and includes water extractions for use by humans for agricultural, domestic, and industrial purposes. A new feature is described that permits water source tracking through the water cycle, which has implications for water resource management. This paper was written to describe a long-used model and presents its first open-source version.
Luca Guillaumot, Mikhail Smilovic, Peter Burek, Jens de Bruijn, Peter Greve, Taher Kahil, and Yoshihide Wada
Geosci. Model Dev., 15, 7099–7120, https://doi.org/10.5194/gmd-15-7099-2022, https://doi.org/10.5194/gmd-15-7099-2022, 2022
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We develop and test the first large-scale hydrological model at regional scale with a very high spatial resolution that includes a water management and groundwater flow model. This study infers the impact of surface and groundwater-based irrigation on groundwater recharge and on evapotranspiration in both irrigated and non-irrigated areas. We argue that water table recorded in boreholes can be used as validation data if water management is well implemented and spatial resolution is ≤ 100 m.
Robert Chlumsky, James R. Craig, Simon G. M. Lin, Sarah Grass, Leland Scantlebury, Genevieve Brown, and Rezgar Arabzadeh
Geosci. Model Dev., 15, 7017–7030, https://doi.org/10.5194/gmd-15-7017-2022, https://doi.org/10.5194/gmd-15-7017-2022, 2022
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We introduce the open-source RavenR package, which has been built to support the use of the hydrologic modelling framework Raven. The R package contains many functions that may be useful in each step of the model-building process, including preparing model input files, running the model, and analyzing the outputs. We present six reproducible use cases of the RavenR package for the Liard River basin in Canada to demonstrate how it may be deployed.
Bahar Bahrami, Anke Hildebrandt, Stephan Thober, Corinna Rebmann, Rico Fischer, Luis Samaniego, Oldrich Rakovec, and Rohini Kumar
Geosci. Model Dev., 15, 6957–6984, https://doi.org/10.5194/gmd-15-6957-2022, https://doi.org/10.5194/gmd-15-6957-2022, 2022
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Leaf area index (LAI) and gross primary productivity (GPP) are crucial components to carbon cycle, and are closely linked to water cycle in many ways. We develop a Parsimonious Canopy Model (PCM) to simulate GPP and LAI at stand scale, and show its applicability over a diverse range of deciduous broad-leaved forest biomes. With its modular structure, the PCM is able to adapt with existing data requirements, and run in either a stand-alone mode or as an interface linked to hydrologic models.
Stefania Camici, Gabriele Giuliani, Luca Brocca, Christian Massari, Angelica Tarpanelli, Hassan Hashemi Farahani, Nico Sneeuw, Marco Restano, and Jérôme Benveniste
Geosci. Model Dev., 15, 6935–6956, https://doi.org/10.5194/gmd-15-6935-2022, https://doi.org/10.5194/gmd-15-6935-2022, 2022
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This paper presents an innovative approach, STREAM (SaTellite-based Runoff Evaluation And Mapping), to derive daily river discharge and runoff estimates from satellite observations of soil moisture, precipitation, and terrestrial total water storage anomalies. Potentially useful for multiple operational and scientific applications, the added value of the STREAM approach is the ability to increase knowledge on the natural processes, human activities, and their interactions on the land.
Ji Li, Daoxian Yuan, Fuxi Zhang, Jiao Liu, and Mingguo Ma
Geosci. Model Dev., 15, 6581–6600, https://doi.org/10.5194/gmd-15-6581-2022, https://doi.org/10.5194/gmd-15-6581-2022, 2022
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A new karst hydrological model (the QMG model) is developed to simulate and predict the floods in karst trough valley basins. Unlike the complex structure and parameters of current karst groundwater models, this model has a simple double-layered structure with few parameters and decreases the demand for modeling data in karst areas. The flood simulation results based on the QMG model of the Qingmuguan karst trough valley basin are satisfactory, indicating the suitability of the model simulation.
Luca Trotter, Wouter J. M. Knoben, Keirnan J. A. Fowler, Margarita Saft, and Murray C. Peel
Geosci. Model Dev., 15, 6359–6369, https://doi.org/10.5194/gmd-15-6359-2022, https://doi.org/10.5194/gmd-15-6359-2022, 2022
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MARRMoT is a piece of software that emulates 47 common models for hydrological simulations. It can be used to run and calibrate these models within a common environment as well as to easily modify them. We restructured and recoded MARRMoT in order to make the models run faster and to simplify their use, while also providing some new features. This new MARRMoT version runs models on average 3.6 times faster while maintaining very strong consistency in their outputs to the previous version.
Zhi Li, Shang Gao, Mengye Chen, Jonathan Gourley, Naoki Mizukami, and Yang Hong
Geosci. Model Dev., 15, 6181–6196, https://doi.org/10.5194/gmd-15-6181-2022, https://doi.org/10.5194/gmd-15-6181-2022, 2022
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Operational streamflow prediction at a continental scale is critical for national water resources management. However, limited computational resources often impede such processes, with streamflow routing being one of the most time-consuming parts. This study presents a recent development of a hydrologic system that incorporates a vector-based routing scheme with a lake module that markedly speeds up streamflow prediction. Moreover, accuracy is improved and flood false alarms are mitigated.
Suyeon Choi and Yeonjoo Kim
Geosci. Model Dev., 15, 5967–5985, https://doi.org/10.5194/gmd-15-5967-2022, https://doi.org/10.5194/gmd-15-5967-2022, 2022
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Here we present the cGAN-based precipitation nowcasting model, named Rad-cGAN, trained to predict a radar reflectivity map with a lead time of 10 min. Rad-cGAN showed superior performance at a lead time of up to 90 min compared with the reference models. Furthermore, we demonstrate the successful implementation of the transfer learning strategies using pre-trained Rad-cGAN to develop the models for different dam domains.
Rolf Hut, Niels Drost, Nick van de Giesen, Ben van Werkhoven, Banafsheh Abdollahi, Jerom Aerts, Thomas Albers, Fakhereh Alidoost, Bouwe Andela, Jaro Camphuijsen, Yifat Dzigan, Ronald van Haren, Eric Hutton, Peter Kalverla, Maarten van Meersbergen, Gijs van den Oord, Inti Pelupessy, Stef Smeets, Stefan Verhoeven, Martine de Vos, and Berend Weel
Geosci. Model Dev., 15, 5371–5390, https://doi.org/10.5194/gmd-15-5371-2022, https://doi.org/10.5194/gmd-15-5371-2022, 2022
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With the eWaterCycle platform, we are providing the hydrological community with a platform to conduct their research that is fully compatible with the principles of both open science and FAIR science. The eWatercyle platform gives easy access to well-known hydrological models, big datasets and example experiments. Using eWaterCycle hydrologists can easily compare the results from different models, couple models and do more complex hydrological computational research.
Hsi-Kai Chou, Ana Maria Heuminski de Avila, and Michaela Bray
Geosci. Model Dev., 15, 5233–5240, https://doi.org/10.5194/gmd-15-5233-2022, https://doi.org/10.5194/gmd-15-5233-2022, 2022
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Land surface models allow us to understand and investigate the cause and effect of environmental process changes. Therefore, this type of model is increasingly used for hydrological assessments. Here we explore the possibility of this approach using a case study in the Atibaia River basin, which serves as a major water supply for the metropolitan regions of Campinas and São Paulo, Brazil. We evaluated the model performance and use the model to simulate the basin hydrology.
Malgorzata Golub, Wim Thiery, Rafael Marcé, Don Pierson, Inne Vanderkelen, Daniel Mercado-Bettin, R. Iestyn Woolway, Luke Grant, Eleanor Jennings, Benjamin M. Kraemer, Jacob Schewe, Fang Zhao, Katja Frieler, Matthias Mengel, Vasiliy Y. Bogomolov, Damien Bouffard, Marianne Côté, Raoul-Marie Couture, Andrey V. Debolskiy, Bram Droppers, Gideon Gal, Mingyang Guo, Annette B. G. Janssen, Georgiy Kirillin, Robert Ladwig, Madeline Magee, Tadhg Moore, Marjorie Perroud, Sebastiano Piccolroaz, Love Raaman Vinnaa, Martin Schmid, Tom Shatwell, Victor M. Stepanenko, Zeli Tan, Bronwyn Woodward, Huaxia Yao, Rita Adrian, Mathew Allan, Orlane Anneville, Lauri Arvola, Karen Atkins, Leon Boegman, Cayelan Carey, Kyle Christianson, Elvira de Eyto, Curtis DeGasperi, Maria Grechushnikova, Josef Hejzlar, Klaus Joehnk, Ian D. Jones, Alo Laas, Eleanor B. Mackay, Ivan Mammarella, Hampus Markensten, Chris McBride, Deniz Özkundakci, Miguel Potes, Karsten Rinke, Dale Robertson, James A. Rusak, Rui Salgado, Leon van der Linden, Piet Verburg, Danielle Wain, Nicole K. Ward, Sabine Wollrab, and Galina Zdorovennova
Geosci. Model Dev., 15, 4597–4623, https://doi.org/10.5194/gmd-15-4597-2022, https://doi.org/10.5194/gmd-15-4597-2022, 2022
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Lakes and reservoirs are warming across the globe. To better understand how lakes are changing and to project their future behavior amidst various sources of uncertainty, simulations with a range of lake models are required. This in turn requires international coordination across different lake modelling teams worldwide. Here we present a protocol for and results from coordinated simulations of climate change impacts on lakes worldwide.
Verena Bessenbacher, Sonia Isabelle Seneviratne, and Lukas Gudmundsson
Geosci. Model Dev., 15, 4569–4596, https://doi.org/10.5194/gmd-15-4569-2022, https://doi.org/10.5194/gmd-15-4569-2022, 2022
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Short summary
Earth observations have many missing values. They are often filled using information from spatial and temporal contexts that mostly ignore information from related observed variables. We propose the gap-filling method CLIMFILL that additionally uses information from related variables. We test CLIMFILL using gap-free reanalysis data of variables related to soil–moisture climate interactions. CLIMFILL creates estimates for the missing values that recover the original dependence structure.
Anthony Bernus and Catherine Ottlé
Geosci. Model Dev., 15, 4275–4295, https://doi.org/10.5194/gmd-15-4275-2022, https://doi.org/10.5194/gmd-15-4275-2022, 2022
Short summary
Short summary
The lake model FLake was coupled to the ORCHIDEE land surface model to simulate lake energy balance at global scale with a multi-tile approach. Several simulations were performed with various atmospheric reanalyses and different lake depth parameterizations. The simulated lake surface temperature showed good agreement with observations (RMSEs of the order of 3 °C). We showed the large impact of the atmospheric forcing on lake temperature. We highlighted systematic errors on ice cover phenology.
Inne Vanderkelen, Shervan Gharari, Naoki Mizukami, Martyn P. Clark, David M. Lawrence, Sean Swenson, Yadu Pokhrel, Naota Hanasaki, Ann van Griensven, and Wim Thiery
Geosci. Model Dev., 15, 4163–4192, https://doi.org/10.5194/gmd-15-4163-2022, https://doi.org/10.5194/gmd-15-4163-2022, 2022
Short summary
Short summary
Human-controlled reservoirs have a large influence on the global water cycle. However, dam operations are rarely represented in Earth system models. We implement and evaluate a widely used reservoir parametrization in a global river-routing model. Using observations of individual reservoirs, the reservoir scheme outperforms the natural lake scheme. However, both schemes show a similar performance due to biases in runoff timing and magnitude when using simulated runoff.
Jiming Jin, Lei Wang, Jie Yang, Bingcheng Si, and Guo-Yue Niu
Geosci. Model Dev., 15, 3405–3416, https://doi.org/10.5194/gmd-15-3405-2022, https://doi.org/10.5194/gmd-15-3405-2022, 2022
Short summary
Short summary
This study aimed to improve runoff simulations and explore deep soil hydrological processes for a highly varying soil depth and complex terrain watershed in the Loess Plateau, China. The actual soil depths and river channels were incorporated into the model to better simulate the runoff in this watershed. The soil evaporation scheme was modified to better describe the evaporation processes. Our results showed that the model significantly improved the runoff simulations.
Cited articles
Ala-aho, P., Tetzlaff, D., McNamara, J. P., Laudon, H., and Soulsby, C.: Using
isotopes to constrain water flux and age estimates in snow-influenced catchments
using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model,
Hydrol. Earth Syst. Sci., 21, 5089–5110, https://doi.org/10.5194/hess-21-5089-2017, 2017. a, b, c, d, e
Albrektson, A.: Sapwood basal area and needle mass of Scots pine (Pinus
sylvestris L.) trees in central Sweden, Forestry, 57, 35–43, 1984. a
Allison, G. B. and Leaney, F. W.: Estimation of isotopic exchange parameters,
using constant-feed pans, J. Hydrol., 55, 151–161, https://doi.org/10.1016/0022-1694(82)90126-3, 1982. a
Barnes, C. J. and Bonell, M.: Application of unit hydrograph techniques to
solute transport in catchments, Hydrol. Process., 10, 793–802, 1996. a
Berry, Z. C., Evaristo, J., Moore, G., Poca, M., Steppe, K., Verrot, L.,
Asbjornsen, H., Borma, L. S., Bretfeld, M., Hervé-Fernández, P.,
Seyfried, M., Schwendenmann, L., Sinacore, K., De Wispelaere, L., and McDonnell,
J.: The two water worlds hypothesis: Addressing multiple working hypotheses and
proposing a way forward, Ecohydrology, 11, e1843, https://doi.org/10.1002/eco.1843, 2017. a, b
Bertrand, G., Masini, J., Goldscheider, N., Meeks, J., Lavastre, V., Celle-Jeanton,
H., Gobat, J.-M., and Hunkeler, D.: Determination of spatiotemporal variability
of tree water uptake using stable isotopes (δ18O, δ2H)
in an alluvial system supplied by a high-altitude watershed, Pfyn forest,
Switzerland, Ecohydrology, 7, 319–333, 2014. a
Beven, K. and Germann, P.: Macropores and water flow in soils, Water Resour.
Res., 18, 1311–1325, 1982. a
Beven, K. and Germann, P.: Macropores and water flow in soils revisited, Water
Resour. Res., 49, 3071–3092, https://doi.org/10.1002/wrcr.20156, 2013. a
Billett, M. F. and Cresser, M. S.: Predicting stream-water quality using
catchment and soil chemical characteristics, Environ. Pollut., 77, 263–268, 1992. a
Birkel, C. and Soulsby, C.: Advancing tracer-aided rainfall–runoff modelling: a
review of progress, problems and unrealised potential, Hydrol. Process., 29,
5227–5240, https://doi.org/10.1002/hyp.10594, 2015. a, b, c
Birkel, C., Tetzlaff, D., Dunn, S. M., and Soulsby, C.: Using time domain and
geographic source tracers to conceptualize streamflow generation processes in
lumped rainfall-runoff models, Water Resour. Res., 47, W02515, https://doi.org/10.1029/2010WR009547, 2011. a, b, c
Birkel, C., Soulsby, C., Tetzlaff, D., Dunn, S., and Spezia, L.: High-frequency
storm event isotope sampling reveals time-variant transit time distributions
and influence of diurnal cycles, Hydrol. Process., 26, 308–316, 2012. a
Birkel, C., Soulsby, C., and Tetzlaff, D.: Developing a consistent process-based
conceptualization of catchment functioning using measurements of internal state
variables, Water Resour. Res., 50, 3481–3501, https://doi.org/10.1002/2013WR014925, 2014. a, b
Bond-Lamberty, B. and Gower, S. T.: Estimation of stand-level leaf area for
boreal bryophytes, Oecologia, 151, 584–592, https://doi.org/10.1007/s00442-006-0619-5, 2007. a
Botter, G., Bertuzzo, E., and Rinaldo, A.: Transport in the hydrologic response:
Travel time distributions, soil moisture dynamics, and the old water paradox,
Water Resour. Res., 46, W03514, https://doi.org/10.1029/2009WR008371, 2010. a
Braud, I., Bariac, T., Biron, P., and Vauclin, M.: Isotopic composition of bare
soil evaporated water vapor. Part II: Modeling of RUBIC IV experimental results,
J. Hydrol., 369, 17–29, 2009. a
Brooks, J. R., Barnard, H. R., Coulombe, R., and McDonnell, J. J.: Ecohydrologic
separation of water between trees and streams in a Mediterranean climate, Nat.
Geosci., 3, 100–104, 2010. a
Brooks, P. D., Chorover, J., Fan, Y., Godsey, S. E., Maxwell, R. M., McNamara,
J. P., and Tague, C.: Hydrological partitioning in the critical zone: Recent
advances and opportunities for developing transferable understanding of water
cycle dynamics, Water Resour. Res., 51, 6973–6987, 2015. a
Calder, I. R., Hall, R. L., Harding, R. J., and Wright, I. R.: The use of a
wet-surface weighing lysimeter system in rainfall interception studies of
heather (Calluna vulgaris), J. Clim. Appl. Meteorol., 23, 461–473,
https://doi.org/10.1175/1520-0450(1984)023<0461:TUOAWS>2.0.CO;2, 1984. a
Coenders-Gerrits, A. M. J., Van der Ent, R. J., Bogaard, T. A., Wang-Erlandsson,
L., Hrachowitz, M., and Savenije, H. H. G.: Uncertainties in transpiration
estimates, Nature, 506, E1–E2, https://doi.org/10.1038/nature12925, 2014. a
Craig, H., Gordon, L. I., and Horibe, Y.: Isotopic exchange effects in the
evaporation of water: 1. Low-temperature experimental results, J. Geophys. Res.,
68, 5079–5087, 1963. a
Dawson, T. E. and Ehleringer, J. R.: Isotopic enrichment of water in the
“woody” tissues of plants: implications for plant water source, water uptake,
and other studies which use the stable isotopic composition of cellulose,
Geochim. Cosmochim. Ac., 57, 3487–3492, 1993. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi,
S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars,
A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R.,
Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm,
E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally,
A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay,
P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis:
configuration and performance of the data assimilation system, Q. J. Roy.
Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. a
De Schepper, V. and Steppe, K.: Development and verification of a water and
sugar transport model using measured stem diameter variations, J. Exp. Bot.,
61, 2083–2099, https://doi.org/10.1093/jxb/erq018, 2010. a
Dunn, S. M., McDonnell, J. J., and Vaché, K. B.: Factors influencing the
residence time of catchment waters: A virtual experiment approach, Water
Resour. Res., 43, W06408, https://doi.org/10.1029/2006WR005393, 2007. a
Endrizzi, S., Gruber, S., Dall'Amico, M., and Rigon, R.: GEOtop 2.0: simulating
the combined energy and water balance at and below the land surface accounting
for soil freezing, snow cover and terrain effects, Geosci. Model Dev., 7,
2831–2857, https://doi.org/10.5194/gmd-7-2831-2014, 2014. a
Falkenmark, M. and Rockström, J.: The New Blue and Green Water
Paradigm: Breaking New Ground for Water Resources Planning and Management, J.
Water Resour. Pl. Manage., 132, 129–132, https://doi.org/10.1061/(ASCE)0733-9496(2006)132:3(129), 2006. a
Fan, Y.: Groundwater in the Earth's critical zone: Relevance to large-scale
patterns and processes, Water Resour. Res., 51, 3052–3069, https://doi.org/10.1002/2015WR017037, 2015. a, b
Farquhar, G. D., Cernusak, L. A., and Barnes, B.: Heavy water fractionation
during transpiration, Plant Physiol., 143, 11–18, 2007. a
Fenicia, F., McDonnell, J. J., and Savenije, H. H.: Learning from model
improvement: On the contribution of complementary data to process understanding,
Water Resour. Res., 44, W06419, https://doi.org/10.1029/2007WR006386, 2008. a
Frei, S., Lischeid, G., and Fleckenstein, J. H.: Effects of micro-topography on
surface–subsurface exchange and runoff generation in a virtual riparian wetland – A
modeling study, Adv. Water Resour., 33, 1388–1401, https://doi.org/10.1016/j.advwatres.2010.07.006, 2010. a
Gat, J. R.: Oxygen and hydrogen isotopes in the hydrologic cycle, Annu. Rev.
Earth Planet. Sc., 24, 225–262, 1996. a
Gat, J. R. and Levy, Y.: Isotope hydrology of inland sabkhas in the Bardawil
area, Sinai, Limnol. Oceanogr., 23, 841–850, 1978. a
Geris, J., Tetzlaff, D., McDonnell, J. J., and Soulsby, C.: Spatial and temporal
patterns of soil water storage and vegetation water use in humid northern
catchments, Sci. Total Environ., 595, 486–493, https://doi.org/10.1016/j.scitotenv.2017.03.275, 2017. a, b
Gibson, J. J. and Reid, R.: Water balance along a chain of tundra lakes: A
20-year isotopic perspective, J. Hydrol., 519, 2148–2164, https://doi.org/10.1016/j.jhydrol.2014.10.011, 2014. a
Good, S. P., Noone, D., and Bowen, G.: Hydrologic connectivity constrains
partitioning of global terrestrial water fluxes, Science, 349, 175–177,
https://doi.org/10.1126/science.aaa5931, 2015. a
Goody, R. M. and Yung, Y. L.: Atmospheric radiation: theoretical basis, Oxford
university Press, Oxford, 1995. a
Haese, B., Werner, M., and Lohmann, G.: Stable water isotopes in the coupled
atmosphere–land surface model ECHAM5-JSBACH, Geosci. Model Dev., 6, 1463–1480,
https://doi.org/10.5194/gmd-6-1463-2013, 2013. a, b, c
Harman, C. J.: Time-variable transit time distributions and transport: Theory
and application to storage-dependent transport of chloride in a watershed,
Water Resour. Res., 51, 1–30, 2015. a
Harwood, K. G., Gillon, J. S., Roberts, A., and Griffiths, H.: Determinants of
isotopic coupling of CO2 and water vapour within a Quercus petraea forest canopy, Oecologia, 119, 109–119, https://doi.org/10.1007/s004420050766, 1999. a, b
Haverd, V., Cuntz, M., Griffith, D., Keitel, C., Tadros, C., and Twining, J.:
Measured deuterium in water vapour concentration does not improve the constraint
on the partitioning of evapotranspiration in a tall forest canopy, as estimated
using a soil vegetation atmosphere transfer model, Agr. Forest Meteorol.,
151, 645–654, 2011. a
Heidbüchel, I., Troch, P. A., Lyon, S. W., and Weiler, M.: The master transit
time distribution of variable flow systems, Water Resour. Res., 48, W06520,
https://doi.org/10.1029/2011WR011293, 2012. a
Henderson-Sellers, A.: Improving land-surface parameterization schemes using
stable water isotopes: Introducing the `iPILPS' initiative, Global Planet.
Change, 51, 3–24, https://doi.org/10.1016/j.gloplacha.2005.12.009, 2006. a
Heße, F., Zink, M., Kumar, R., Samaniego, L., and Attinger, S.: Spatially
distributed characterization of soil-moisture dynamics using travel-time
distributions, Hydrol. Earth Syst. Sci., 21, 549–570, https://doi.org/10.5194/hess-21-549-2017, 2017. a
Hölttä, T., Vesala, T., Sevanto, S., Perämäki, M., and Nikinmaa,
E.: Modeling xylem and phloem water flows in trees according to cohesion theory
and Münch hypothesis, Trees, 20, 67–78, https://doi.org/10.1007/s00468-005-0014-6, 2006. a
Horita, J. and Wesolowski, D. J.: Liquid-vapor fractionation of oxygen and
hydrogen isotopes of water from the freezing to the critical temperature,
Geochim. Cosmochim. Ac., 58, 3425–3437, https://doi.org/10.1016/0016-7037(94)90096-5, 1994. a
Hrachowitz, M., Savenije, H., Bogaard, T. A., Tetzlaff, D., and Soulsby, C.:
What can flux tracking teach us about water age distribution patterns and their
temporal dynamics?, Hydrol. Earth Syst. Sci., 17, 533–564, https://doi.org/10.5194/hess-17-533-2013, 2013. a
Jacob, H. and Sonntag, C.: An 8-year record of the seasonal variation of
2H and 18O in atmospheric water vapour and precipitation at
Heidelberg, Germany, Tellus B, 43, 291–300, 1991. a
Jasechko, S., Sharp, Z. D., Gibson, J. J., Birks, S. J., Yi, Y., and Fawcett,
P. J.: Terrestrial water fluxes dominated by transpiration, Nature, 496,
347–350, https://doi.org/10.1038/nature11983, 2013. a
Kirchner, J. W.: A double paradox in catchment hydrology and geochemistry,
Hydrol. Process., 17, 871–874, 2003. a
Kirchner, J. W. and Neal, C.: Universal fractal scaling in stream chemistry and
its implications for solute transport and water quality trend detection, P. Natl.
Acad. Sci. USA, 110, 12213–12218, 2013. a
Kling, H., Fuchs, M., and Paulin, M.: Runoff conditions in the upper Danube
basin under an ensemble of climate change scenarios, J. Hydrol., 424, 264–277, 2012. a
Kool, D., Agam, N., Lazarovitch, N., Heitman, J. L., Sauer, T. J., and Ben-Gal,
A.: A review of approaches for evapotranspiration partitioning, Agr. Forest
Meteorol., 184, 56–70, https://doi.org/10.1016/j.agrformet.2013.09.003, 2014. a
Krabbenhoft, D. P., Bowser, C. J., Anderson, M. P., and Valley, J. W.: Estimating
groundwater exchange with lakes: 1. The stable isotope mass balance method,
Water Resour. Res., 26, 2445–2453, 1990. a
Kumar, B. and Nachiappan, R. P.: On the sensitivity of Craig and Gordon Model
for the estimation of the isotopic composition of lake evaporates, Water Resour.
Res., 35, 1689–1691, https://doi.org/10.1029/1999WR900011, 1999. a
Kuppel, S.: EcH2O-iso 1.0, Bitbucket, https://bitbucket.org/sylka/ech2o_iso, 2017. a
Kuppel, S., Tetzlaff, D., and Soulsby, C.: Water isotopes at Bruntland Burn
catchment, University of Aberdeen, Isotopes_usedfor_EcH2Oiso(.xlsx),
http://dx.doi.org/10.20392/0a7f3ba2-e6f3-40fd-b504-2eb44b76e515, 2018b. a
Landwehr, J. M. and Coplen, T. B.: Line-conditioned excess: a new method for
characterizing stable hydrogen and oxygen isotope ratios in hydrologic systems,
in: International Conference on Isotopes in Environmental Studies, IAEA Vienna, 132–135, 2006. a
Landwehr, J. M., Coplen, T. B., and Stewart, D. W.: Spatial, seasonal, and
source variability in the stable oxygen and hydrogen isotopic composition of tap
waters throughout the USA, Hydrol. Process., 28, 5382–5422, https://doi.org/10.1002/hyp.10004, 2014. a
Lee, T. J. and Pielke, R. A.: Estimating the soil surface specific humidity,
J. Appl. Meteorol., 31, 480–484, 1992. a
Lozano-Parra, J., Maneta, M. P., and Schnabel, S.: Climate and topographic
controls on simulated pasture production in a semiarid Mediterranean watershed
with scattered tree cover, Hydrol. Earth Syst. Sci., 18, 1439–1456, https://doi.org/10.5194/hess-18-1439-2014, 2014. a, b
Mamonov, A. B., Coalson, R. D., Zeidel, M. L., and Mathai, J. C.: Water and
Deuterium Oxide Permeability through Aquaporin 1: MD Predictions and Experimental
Verification, J. General Physiol., 130, 111–116, https://doi.org/10.1085/jgp.200709810, 2007. a
Manoli, G., Huang, C.-W., Bonetti, S., Domec, J.-C., Marani, M., and Katul, G.:
Competition for light and water in a coupled soil-plant system, Adv. Water Resour.,
108, 216–230, https://doi.org/10.1016/j.advwatres.2017.08.004, 2017. a
Mathieu, R. and Bariac, T.: An Isotopic Study (2H and 18O)
of Water Movements in Clayey Soils Under a Semiarid Climate, Water Resour. Res.,
32, 779–789, https://doi.org/10.1029/96WR00074, 1996. a, b, c, d
McGuire, K. J. and McDonnell, J. J.: Tracer advances in catchment hydrology,
Hydrol. Process., 29, 5135–5138, https://doi.org/10.1002/hyp.10740, 2015. a, b
Melayah, A., Bruckler, L., and Bariac, T.: Modeling the Transport of Water
Stable Isotopes in Unsaturated Soils Under Natural Conditions: 1. Theory,
Water Resour. Res., 32, 2047–2054, https://doi.org/10.1029/96WR00674, 1996. a, b
Met Office: Met Office Integrated Data Archive System (MIDAS) Land and Marine
Surface Stations Data (1853–current), NCAS British Atmospheric Data Centre,
http://catalogue.ceda.ac.uk/uuid/220a65615218d5c9cc9e4785a3234bd0 (last
access: 24 July 2018), 2017. a
Moors, E., Stricker, J., and van der Abeele, G.: Evapotranspiration of cut over
bog covered by Molinia Caerulea, Tech. Rep. 73, Wageningen Agricultural
University, Wagenigen, 1998. a
Nash, J. and Sutcliffe, J.: River flow forecasting through conceptual models
part I – A discussion of principles, J. Hydrol., 10, 282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970. a
National Research Council: New Research Opportunities in the Earth Sciences,
The National Academies Press, Washington, D.C., https://doi.org/10.17226/13236, 2012. a
Neal, C., Christophersen, N., Neale, R., Smith, C. J., Whitehead, P. G., and
Reynolds, B.: Chloride in precipitation and streamwater for the upland catchment
of river severn, mid-wales; some consequences for hydrochemical models, Hydrol.
Process., 2, 155–165, https://doi.org/10.1002/hyp.3360020206, 1988. a
Niu, J. and Phanikumar, M. S.: Modeling watershed-scale solute transport using
an integrated, process-based hydrologic model with applications to bacterial
fate and transport, J. Hydrol., 529, 35–48, https://doi.org/10.1016/j.jhydrol.2015.07.013, 2015. a
O'Driscoll, M. A., DeWalle, D. R., McGuire, K. J., and Gburek, W. J.: Seasonal
18O variations and groundwater recharge for three landscape types in
central Pennsylvania, USA, J. Hydrol., 303, 108–124, https://doi.org/10.1016/j.jhydrol.2004.08.020, 2005. a
Pfautsch, S., Renard, J., Tjoelker, M. G., and Salih, A.: Phloem as capacitor:
radial transfer of water into xylem of tree stems occurs via symplastic transport
in ray parenchyma, Plant Physiol., 167, 963–971, 2015. a
Pierini, N. A., Vivoni, E. R., Robles-Morua, A., Scott, R. L., and Nearing, M.
A.: Using observations and a distributed hydrologic model to explore runoff
thresholds linked with mesquite encroachment in the Sonoran Desert, Water
Resour. Res., 50, 8191–8215, https://doi.org/10.1002/2014WR015781, 2014. a
Rinaldo, A., Benettin, P., Harman, C. J., Hrachowitz, M., McGuire, K. J.,
Van Der Velde, Y., Bertuzzo, E., and Botter, G.: Storage selection functions:
A coherent framework for quantifying how catchments store and release water and
solutes, Water Resour. Res., 51, 4840–4847, 2015. a
Risi, C., Ogée, J., Bony, S., Bariac, T., Raz-Yaseef, N., Wingate, L.,
Welker, J., Knohl, A., Kurz-Besson, C., Leclerc, M., Zhang, G., Buchmann, N.,
Santrucek, J., Hronkova, M., David, T., Peylin, P., and Guglielmo, F.: The
water isotopic version of the land-surface model ORCHIDEE: Implementation,
evaluation, sensitivity to hydrological parameters, Hydrol. Current Res., 7,
258, https://doi.org/10.4172/2157-7587.1000258, 2016. a, b
Sayama, T. and McDonnell, J. J.: A new time-space accounting scheme to predict
stream water residence time and hydrograph source components at the watershed
scale, Water Resour. Res., 45, W07401, https://doi.org/10.1029/2008WR007549, 2009. a, b
Scheliga, B., Tetzlaff, D., Nuetzmann, G., and Soulsby, C.: Groundwater
isoscapes in a montane headwater catchment show dominance of well-mixed storage,
Hydrol. Process., 31, 3504–3519, https://doi.org/10.1002/hyp.11271, 2017. a, b
Schlesinger, W. H. and Jasechko, S.: Transpiration in the global water cycle,
Agr. Forest Meteorol., 189, 115–117, 2014. a
Schoch-Fischer, H., Rozanski, K., Jacob, H., Sonntag, C., Jouzel, I., Östlund,
G., and Geyh, M. A.: Hydrometeorological factors controlling the time variation
of D, 18O and 3H in atmospheric water vapour and precipitation
in the northern westwind belt, in: Isotope Hydrology, IAEA, Vienna, 3–30, 1983. a
Simeone, C.: Coupled ecohydrology and plant hydraulics model predicts Ponderosa
seedling mortality and lower treeline in the US Northern Rocky Mountains,
MS thesis, University of Montana, Montana, https://scholarworks.umt.edu/etd/11128,
last access: 24 July 2018. a
Skrzypek, G., Mydłlowski, A., Dogramaci, S., Hedley, P., Gibson, J. J., and
Grierson, P. F.: Estimation of evaporative loss based on the stable isotope
composition of water using Hydrocalculator, J. Hydrol., 523, 781–789, 2015. a
Smart, R. P., Soulsby, C., Cresser, M. S., Wade, A. J., Townend, J., Billett,
M. F., and Langan, S.: Riparian zone influence on stream water chemistry at
different spatial scales: a GIS-based modelling approach, an example for the
Dee, NE Scotland, Sci. Total Environ., 280, 173–193, https://doi.org/10.1016/S0048-9697(01)00824-5, 2001. a
Smith, A. A., Welch, C., and Stadnyk, T.: Assessment of a lumped coupled flow-isotope
model in data scarce Boreal catchments, Hydrol. Process., 30, 3871–3884,
https://doi.org/10.1002/hyp.10835, 2016. a
Smith, A. A., Tetzlaff, D., and Soulsby, C.: Using StorAge Selection functions
to quantify ecohydrological controls on the time-variant age of evapotranspiration,
soil water, and recharge, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-57, in review, 2018. a
Soderberg, K., Good, S. P., Wang, L., and Caylor, K.: Stable isotopes of water
vapor in the vadose zone: A review of measurement and modeling techniques,
Vadose Zone J., 11, https://doi.org/10.2136/vzj2011.0165, 2012. a
Soulsby, C., Tetzlaff, D., Van den Bedem, N., Malcolm, I. A., Bacon, P. J., and
Youngson, A. F.: Inferring groundwater influences on surface water in montane
catchments from hydrochemical surveys of springs and streamwaters, J. Hydrol.,
333, 199–213, 2007. a
Soulsby, C., Bradford, J., Dick, J., McNamara, J. P., Geris, J., Lessels, J.,
Blumstock, M., and Tetzlaff, D.: Using geophysical surveys to test tracer-based
storage estimates in headwater catchments, Hydrol. Process., 30, 4434–4445, 2016. a
Soulsby, C., Braun, H., Sprenger, M., Weiler, M., and Tetzlaff, D.: Influence
of forest and shrub canopies on precipitation partitioning and isotopic
signatures, Hydrol. Process., 31, 4282–4296, https://doi.org/10.1002/hyp.11351, 2017. a
Spence, C. and Woo, M.-K.: Hydrology of subarctic Canadian shield: soil-filled
valleys, J. Hydrol., 279, 151–166, https://doi.org/10.1016/S0022-1694(03)00175-6, 2003. a
Sprenger, M., Herbstritt, B., and Weiler, M.: Established methods and new
opportunities for pore water stable isotope analysis, Hydrol. Process.,
29, 5174–5192, 2015. a
Sprenger, M., Tetzlaff, D., Buttle, J., Snelgrove, J., Laudon, H., Mitchell,
C., Weiler, M., and Soulsby, C.: Measuring and modelling stable isotopes of
mobile and bulk soil water, Vadose Zone J., 17, https://doi.org/10.2136/vzj2017.08.0149, 2018. a, b, c
Stadnyk, T. A., Delavau, C., Kouwen, N., and Edwards, T. W. D.: Towards
hydrological model calibration and validation: Simulation of stable water
isotopes using the isoWATFLOOD model, Hydrol. Process., 27, 3791–3810, 2013. a
Stanfield, R. C., Hacke, U. G., and Laur, J.: Are phloem sieve tubes leaky
conduits supported by numerous aquaporins?, Am. J. Bot., 104, 719–732,
https://doi.org/10.3732/ajb.1600422, 2017. a
Stumpp, C. and Maloszewski, P.: Quantification of preferential flow and flow
heterogeneities in an unsaturated soil planted with different crops using the
environmental isotope δ18O, J. Hydrol., 394, 407–415,
https://doi.org/10.1016/j.jhydrol.2010.09.014, 2010. a
Stumpp, C., Maloszewski, P., Stichler, W., and Maciejewski, S.: Quantification
of the heterogeneity of the unsaturated zone based on environmental deuterium
observed in lysimeter experiments, Hydrolog. Sci. J., 52, 748–762, https://doi.org/10.1623/hysj.52.4.748, 2007. a
Tetzlaff, D., Soulsby, C., Buttle, J., Capell, R., Carey, S. K., Laudon, H.,
McDonnell, J., McGuire, K., Seibert, J., and Shanley, J.: Catchments on the
cusp? Structural and functional change in northern ecohydrology, Hydrol. Process.,
27, 766–774, 2013. a
Troy, T. J., Pavao-Zuckerman, M., and Evans, T. P.: Debates – Perspectives on
socio-hydrology: Socio-hydrologic modeling: Tradeoffs, hypothesis testing, and
validation, Water Resour. Res., 51, 4806–4814, https://doi.org/10.1002/2015WR017046, 2015. a
Uhlenbrook, S. and Sieber, A.: On the value of experimental data to reduce the
prediction uncertainty of a process-oriented catchment model, Environ. Model.
Softw., 20, 19–32, 2005. a
Vargas, A. I., Schaffer, B., Yuhong, L., and Sternberg, L. D. S. L.: Testing
plant use of mobile vs immobile soil water sources using stable isotope
experiments, New Phytol., 215, 582–594, https://doi.org/10.1111/nph.14616, 2017. a, b, c
Vogel, T., Sanda, M., Dusek, J., Dohnal, M., and Votrubova, J.: Using Oxygen-18
to Study the Role of Preferential Flow in the Formation of Hillslope Runoff,
Vadose Zone J., 9, 252–259, https://doi.org/10.2136/vzj2009.0066, 2010. a
Wang, H., Tetzlaff, D., Dick, J. J., and Soulsby, C.: Assessing the environmental
controls on Scots pine transpiration and the implications for water partitioning
in a boreal headwater catchment, Agr. Forest Meteorol., 240, 58–66, 2017a. a
Wang, H., Tetzlaff, D., and Soulsby, C.: Testing the maximum entropy production
approach for estimating evapotranspiration from closed canopy shrubland in a
low-energy humid environment, Hydrol. Process., 31, 4613–4621, 2017b. a
Wassenaar, L. I., Hendry, M. J., Chostner, V. L., and Lis, G. P.: High
resolution pore water δ2H and δ18O measurements
by H2O (liquid) – H2O (vapor) equilibration laser
spectroscopy, Environ. Sci. Technol., 42, 9262–9267, 2008. a
Wei, Z., Yoshimura, K., Wang, L., Miralles, D. G., Jasechko, S., and Lee, X.:
Revisiting the contribution of transpiration to global terrestrial evapotranspiration,
Geophys. Res. Lett., 44, 2792–2801, https://doi.org/10.1002/2016GL072235, 2017.
a
Weiler, M., McGlynn, B. L., McGuire, K. J., and McDonnell, J. J.: How does
rainfall become runoff? A combined tracer and runoff transfer function approach,
Water Resour. Res., 39, 1315, https://doi.org/10.1029/2003WR002331, 2003. a
Welhan, J. A. and Fritz, P.: Evaporation pan isotopic behavior as an index of
isotopic evaporation conditions, Geochim. Cosmochim. Ac., 41, 682–686,
https://doi.org/10.1016/0016-7037(77)90306-4, 1977. a
Windhorst, D., Kraft, P., Timbe, E., Frede, H.-G., and Breuer, L.: Stable water
isotope tracing through hydrological models for disentangling runoff generation
processes at the hillslope scale, Hydrol. Earth Syst. Sci., 18, 4113–4127,
https://doi.org/10.5194/hess-18-4113-2014, 2014. a
Wong, T. E., Nusbaumer, J., and Noone, D. C.: Evaluation of modeled
land–atmosphere exchanges with a comprehensive water isotope fractionation
scheme in version 4 of the Community Land Model, J. Adv. Model. Earth Syst.,
9, 978–1001, https://doi.org/10.1002/2016MS000842, 2017. a, b
Yeh, H.-F., Lee, C.-H., and Hsu, K.-C.: Oxygen and hydrogen isotopes for the
characteristics of groundwater recharge: a case study from the Chih-Pen Creek
basin, Taiwan, Environ. Earth Sci., 62, 393–402, 2011. a
Zhang, M., Liu, N., Harper, R., Li, Q., Liu, K., Wei, X., Ning, D., Hou, Y.,
and Liu, S.: A global review on hydrological responses to forest change across
multiple spatial scales: Importance of scale, climate, forest type and
hydrological regime, J. Hydrol., 546, 44–59, https://doi.org/10.1016/j.jhydrol.2016.12.040, 2017. a
Zhao, L., Wang, L., Cernusak, L. A., Liu, X., Xiao, H., Zhou, M., and Zhang,
S.: Significant Difference in Hydrogen Isotope Composition Between Xylem and
Tissue Water in Populus Euphratica, Plant Cell Environ., 39, 1848–1857,
https://doi.org/10.1111/pce.12753, 2016. a, b, c
Short summary
This paper presents a novel ecohydrological model in which both the fluxes of water and the relative concentration in stable isotopes (2H and 18O) can be simulated. Spatial heterogeneity, lateral transfers and plant-driven water use are incorporated. A thorough evaluation shows encouraging results using a wide range of in situ measurements from a Scottish catchment. The same modelling principles are then used to simulate how (and where) precipitation ages as water transits in the catchment.
This paper presents a novel ecohydrological model in which both the fluxes of water and the...