Articles | Volume 12, issue 9
https://doi.org/10.5194/gmd-12-4061-2019
© Author(s) 2019. 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-12-4061-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Beo v1.0: numerical model of heat flow and low-temperature thermochronology in hydrothermal systems
Elco Luijendijk
CORRESPONDING AUTHOR
Geoscience Centre, University of Göttingen, Goldschmidtstraße 3, 37077, Göttingen, Germany
Related authors
Björn Nyberg, Roger Sayre, and Elco Luijendijk
EGUsphere, https://doi.org/10.5194/egusphere-2023-2147, https://doi.org/10.5194/egusphere-2023-2147, 2023
Short summary
Short summary
Understanding the spatial and temporal distribution of surface water is crucial for effective water resource management, maintaining ecosystem health, and assessing flood risks. This study examined permanent and seasonal rivers and lakes globally over 38 years, uncovering a statistically significant expansion in seasonal extent captured in the new SARL database. The findings offer valuable resources for assessing the impact of changing river and lake extents on ecosystems and human livelihoods.
Christoph Behrens, Elco Luijendijk, Phillip Kreye, Florian Panitz, Merle Bjorge, Marlene Gelleszun, Alexander Renz, Shorash Miro, and Wolfram Rühaak
Adv. Geosci., 58, 109–119, https://doi.org/10.5194/adgeo-58-109-2023, https://doi.org/10.5194/adgeo-58-109-2023, 2023
Short summary
Short summary
The mathematical basics of a numerical code developed specifically for the search of a site for high-level radioactive waste in Germany is presented.
The code is developed in accordance to the specific regulations. First tests of the code are shown.
Kevin Alexander Frings, Elco Luijendijk, István Dunkl, Peter Kukla, Nicolas Villamizar-Escalante, Herfried Madritsch, and Christoph von Hagke
EGUsphere, https://doi.org/10.5194/egusphere-2022-1323, https://doi.org/10.5194/egusphere-2022-1323, 2022
Preprint archived
Short summary
Short summary
We use apatite (U-Th-Sm)/He thermochronologic on detrital grains sampled from a well to unravel the exhumation history of the northern Swiss Molasse Basin and reconcile seemingly contradicting previous studies. With single grain ages and provenance ages, we achieve to narrowly constrain exhumation magnitude and timing and embed previous results into a single consistent thermal history. This includes proof for hydrothermal activity and a contribution to the discussion on exhumation drivers.
Elco Luijendijk
Earth Surf. Dynam., 10, 1–22, https://doi.org/10.5194/esurf-10-1-2022, https://doi.org/10.5194/esurf-10-1-2022, 2022
Short summary
Short summary
The distance between rivers is a noticeable feature of the Earth's surface. Previous work has indicated that subsurface groundwater flow may be important for drainage density. Here, I present a new model that combines subsurface and surface water flow and erosion, and demonstrates that groundwater exerts an important control on drainage density. Streams that incise rapidly can capture the groundwater discharge of adjacent streams, which may cause these streams to become dry and stop incising.
Elco Luijendijk, Leo Benard, Sarah Louis, Christoph von Hagke, and Jonas Kley
Solid Earth Discuss., https://doi.org/10.5194/se-2021-22, https://doi.org/10.5194/se-2021-22, 2021
Revised manuscript not accepted
Short summary
Short summary
Our knowledge of the geological history of mountain belts relies strongly on thermochronometers, methods that reconstruct the temperature history of rocks found in mountain belts. Here we provide a new equation that describes the motion of rocks in a simplified, wedge-shaped representation of a mountain belt. The equation can be used to interpret thermochronometers and can help quantify the deformation, uplift and erosion history of mountain belts.
Johanna F. Bauer, Michael Krumbholz, Elco Luijendijk, and David C. Tanner
Solid Earth, 10, 2115–2135, https://doi.org/10.5194/se-10-2115-2019, https://doi.org/10.5194/se-10-2115-2019, 2019
Short summary
Short summary
We use a 4-D numerical sensitivity study to investigate which geological parameters exert a dominant control on the quality of a deep geothermal reservoir. We constrain how the variability of these parameters affects the economic potential of a reservoir. We show that the interplay of high permeability and hydraulic gradient is the dominant control on reservoir lifetime. Fracture anisotropy, typical for faults, leads to fluid channelling and thus restricts the exploitable volume significantly.
Björn Nyberg, Roger Sayre, and Elco Luijendijk
EGUsphere, https://doi.org/10.5194/egusphere-2023-2147, https://doi.org/10.5194/egusphere-2023-2147, 2023
Short summary
Short summary
Understanding the spatial and temporal distribution of surface water is crucial for effective water resource management, maintaining ecosystem health, and assessing flood risks. This study examined permanent and seasonal rivers and lakes globally over 38 years, uncovering a statistically significant expansion in seasonal extent captured in the new SARL database. The findings offer valuable resources for assessing the impact of changing river and lake extents on ecosystems and human livelihoods.
Christoph Behrens, Elco Luijendijk, Phillip Kreye, Florian Panitz, Merle Bjorge, Marlene Gelleszun, Alexander Renz, Shorash Miro, and Wolfram Rühaak
Adv. Geosci., 58, 109–119, https://doi.org/10.5194/adgeo-58-109-2023, https://doi.org/10.5194/adgeo-58-109-2023, 2023
Short summary
Short summary
The mathematical basics of a numerical code developed specifically for the search of a site for high-level radioactive waste in Germany is presented.
The code is developed in accordance to the specific regulations. First tests of the code are shown.
Kevin Alexander Frings, Elco Luijendijk, István Dunkl, Peter Kukla, Nicolas Villamizar-Escalante, Herfried Madritsch, and Christoph von Hagke
EGUsphere, https://doi.org/10.5194/egusphere-2022-1323, https://doi.org/10.5194/egusphere-2022-1323, 2022
Preprint archived
Short summary
Short summary
We use apatite (U-Th-Sm)/He thermochronologic on detrital grains sampled from a well to unravel the exhumation history of the northern Swiss Molasse Basin and reconcile seemingly contradicting previous studies. With single grain ages and provenance ages, we achieve to narrowly constrain exhumation magnitude and timing and embed previous results into a single consistent thermal history. This includes proof for hydrothermal activity and a contribution to the discussion on exhumation drivers.
Elco Luijendijk
Earth Surf. Dynam., 10, 1–22, https://doi.org/10.5194/esurf-10-1-2022, https://doi.org/10.5194/esurf-10-1-2022, 2022
Short summary
Short summary
The distance between rivers is a noticeable feature of the Earth's surface. Previous work has indicated that subsurface groundwater flow may be important for drainage density. Here, I present a new model that combines subsurface and surface water flow and erosion, and demonstrates that groundwater exerts an important control on drainage density. Streams that incise rapidly can capture the groundwater discharge of adjacent streams, which may cause these streams to become dry and stop incising.
Elco Luijendijk, Leo Benard, Sarah Louis, Christoph von Hagke, and Jonas Kley
Solid Earth Discuss., https://doi.org/10.5194/se-2021-22, https://doi.org/10.5194/se-2021-22, 2021
Revised manuscript not accepted
Short summary
Short summary
Our knowledge of the geological history of mountain belts relies strongly on thermochronometers, methods that reconstruct the temperature history of rocks found in mountain belts. Here we provide a new equation that describes the motion of rocks in a simplified, wedge-shaped representation of a mountain belt. The equation can be used to interpret thermochronometers and can help quantify the deformation, uplift and erosion history of mountain belts.
Johanna F. Bauer, Michael Krumbholz, Elco Luijendijk, and David C. Tanner
Solid Earth, 10, 2115–2135, https://doi.org/10.5194/se-10-2115-2019, https://doi.org/10.5194/se-10-2115-2019, 2019
Short summary
Short summary
We use a 4-D numerical sensitivity study to investigate which geological parameters exert a dominant control on the quality of a deep geothermal reservoir. We constrain how the variability of these parameters affects the economic potential of a reservoir. We show that the interplay of high permeability and hydraulic gradient is the dominant control on reservoir lifetime. Fracture anisotropy, typical for faults, leads to fluid channelling and thus restricts the exploitable volume significantly.
Related subject area
Hydrology
GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications
GEMS v1.0: Generalizable Empirical Model of Snow Accumulation and Melt, based on daily snow mass changes in response to climate and topographic drivers
mesas.py v1.0: a flexible Python package for modeling solute transport and transit times using StorAge Selection functions
rSHUD v2.0: advancing the Simulator for Hydrologic Unstructured Domains and unstructured hydrological modeling in the R environment
GLOBGM v1.0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model
Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0)
pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information
Representing the impact of Rhizophora mangroves on flow in a hydrodynamic model (COAWST_rh v1.0): the importance of three-dimensional root system structures
Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification
Enhancing the representation of water management in global hydrological models
NEOPRENE v1.0.1: a Python library for generating spatial rainfall based on the Neyman–Scott process
Reservoir Assessment Tool Version 3.0: A Scalable and User-Friendly Software Platform to Mobilize the Global Water Management Community
Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations
Validating the Nernst–Planck transport model under reaction-driven flow conditions using RetroPy v1.0
DynQual v1.0: a high-resolution global surface water quality model
Data space inversion for efficient uncertainty quantification using an integrated surface and sub-surface hydrologic model
HydroFATE (v1): A high-resolution contaminant fate model for the global river system
Validation of a new global irrigation scheme in the land surface model ORCHIDEE v2.2
Simulation of crop yield using the global hydrological model H08 (crp.v1)
How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model
iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction
GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model
Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation (within CAESAR-Lisflood version 1.9j-WS)
Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe
Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats
SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics
A simple, efficient, mass-conservative approach to solving Richards' equation (openRE, v1.0)
Customized deep learning for precipitation bias correction and downscaling
Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain
Regional coupled surface–subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency domain discharge data
Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments
Prediction of algal blooms via data-driven machine learning models: an evaluation using data from a well-monitored mesotrophic lake
UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python
Basin-scale gyres and mesoscale eddies in large lakes: a novel procedure for their detection and characterization, assessed in Lake Geneva
SIMO v1.0: simplified model of the vertical temperature profile in a small, warm, monomictic lake
Thermal modeling of three lakes within the continuous permafrost zone in Alaska using the LAKE 2.0 model
Water balance model (WBM) v.1.0.0: a scalable gridded global hydrologic model with water-tracking functionality
Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale
RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest
Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation
A physically based distributed karst hydrological model (QMG model-V1.0) for flood simulations
Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v2.1: an object-oriented implementation of 47 established hydrological models for improved speed and readability
CREST-VEC: a framework towards more accurate and realistic flood simulation across scales
Wflow_sbm v0.6.1, a spatially distributed hydrologic model: from global data to local applications
Rad-cGAN v1.0: Radar-based precipitation nowcasting model with conditional generative adversarial networks for multiple dam domains
The eWaterCycle platform for open and FAIR hydrological collaboration
Evaluating the Atibaia River hydrology using JULES6.1
A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector
CLIMFILL v0.9: a framework for intelligently gap filling Earth observations
Guoqiang Tang, Andrew W. Wood, Andrew J. Newman, Martyn P. Clark, and Simon Michael Papalexiou
Geosci. Model Dev., 17, 1153–1173, https://doi.org/10.5194/gmd-17-1153-2024, https://doi.org/10.5194/gmd-17-1153-2024, 2024
Short summary
Short summary
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 the 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.
Atabek Umirbekov, Richard Essery, and Daniel Müller
Geosci. Model Dev., 17, 911–929, https://doi.org/10.5194/gmd-17-911-2024, https://doi.org/10.5194/gmd-17-911-2024, 2024
Short summary
Short summary
We present a parsimonious 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 are limited.
Ciaran J. Harman and Esther Xu Fei
Geosci. Model Dev., 17, 477–495, https://doi.org/10.5194/gmd-17-477-2024, https://doi.org/10.5194/gmd-17-477-2024, 2024
Short summary
Short summary
Over the last 10 years, scientists have developed StorAge Selection: a new way of modeling how material is transported through complex systems. Here, we present some new, easy-to-use, flexible, and very accurate code for implementing this method. We show that, in 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 codes to the right answer in an important way: it conserves mass.
Lele Shu, Paul Ullrich, Xianhong Meng, Christopher Duffy, Hao Chen, and Zhaoguo Li
Geosci. Model Dev., 17, 497–527, https://doi.org/10.5194/gmd-17-497-2024, https://doi.org/10.5194/gmd-17-497-2024, 2024
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Sanchit Minocha, Faisal Hossain, Pritam Das, Sarath Suresh, Shahzaib Khan, George Darkwah, Hyongki Lee, Stefano Galelli, Konstantinos Andreadis, and Perry Oddo
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-130, https://doi.org/10.5194/gmd-2023-130, 2023
Revised manuscript accepted for GMD
Short summary
Short summary
The Reservoir Assessment Tool (RAT) version 3.0 represents a scalable and customizable software based on hydrologic modeling and satellite remote sensing to monitor the reservoir's dynamic state. The architecture of RAT 3.0 has been designed in such a way that it requires minimal user input with additional flexibility added for the more advanced users. It is more robust and less susceptible to data gaps or instability that satellite remote sensing systems can sometimes experience.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Heloisa Ehalt Macedo, Bernhard Lehner, Jim Nicell, and Günther Grill
EGUsphere, https://doi.org/10.5194/egusphere-2023-1590, https://doi.org/10.5194/egusphere-2023-1590, 2023
Short summary
Short summary
Pharmaceuticals and household chemicals released into surface waters through wastewater pose risks to aquatic ecosystems and human health. HydroFATE, a new global model, estimates contaminant concentrations in rivers, helping identify areas of elevated exposure. It predicted concentrations above ecological thresholds of the antibiotic sulfamethoxazole in 390,000 km of rivers worldwide. HydroFATE can guide monitoring and mitigation efforts to safeguard water systems and human well-being.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Willem J. van Verseveld, Albrecht H. Weerts, Martijn Visser, Joost Buitink, Ruben O. Imhoff, Hélène Boisgontier, Laurène Bouaziz, Dirk Eilander, Mark Hegnauer, Corine ten Velden, and Bobby Russell
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-182, https://doi.org/10.5194/gmd-2022-182, 2022
Revised manuscript accepted for GMD
Short summary
Short summary
We present the wflow_sbm distributed hydrologic model, recently released by Deltares, as part of the Wflow.jl open-source modelling framework in the programming language Julia. Wflow_sbm has a fast run-time making it suitable for large-scale modelling. Wflow_sbm models can be set a priori for any catchment with the Python tool HydroMT-Wflow based on globally available datasets, which results in satisfactory to good performance (without much tuning). We show this for a number of specific cases.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
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.
Cited articles
Achtziger-Zupančič, P., Loew, S., and Mariéthoz, G.: A new
global database to improve predictions of permeability distribution in
crystalline rocks at site scale, J. Geophys. Res.-Sol.
Ea., 122, 3513–3539, https://doi.org/10.1002/2017JB014106, 2017. a
Alduchov, O. A. and Eskridge, R. E.: Improved Magnus form approximation of
saturation vapor pressure, J. Appl. Meteorol., 35, 601–609,
1996. a
Banerjee, A., Person, M., Hofstra, A., Sweetkind, D., Cohen, D., Sabin, A.,
Unruh, J., Zyvoloski, G., Gable, C. W., Crossey, L., and Karlstrom, K.: Deep
permeable fault-controlled helium transport and limited mantle flux in two
extensional geothermal systems in the Great Basin, United States, Geology,
39, 195–198, https://doi.org/10.1130/G31557.1,
2011. a
Bateni, S. M. and Entekhabi, D.: Relative efficiency of land surface energy
balance components, Water Resourc. Res., 48, W04510,
https://doi.org/10.1029/2011WR011357, 2012. a, b, c
Bense, V., Gleeson, T., Loveless, S., Bour, O., and Scibek, J.: Fault zone
hydrogeology, Earth-Sci. Rev., 127, 171–192,
https://doi.org/10.1016/j.earscirev.2013.09.008,
2013. a
Braun, J., van der Beek, P., Valla, P., Robert, X., Herman, F., Glotzbach, C.,
Pedersen, V., Perry, C., Simon-Labric, T., and Prigent, C.: Quantifying
rates of landscape evolution and tectonic processes by thermochronology and
numerical modeling of crustal heat transport using PECUBE, Tectonophysics,
524–525, 1–28, https://doi.org/10.1016/j.tecto.2011.12.035,
2012. a
Bredehoeft, J. D. and Papaopulos, I. S.: Rates of vertical groundwater
movement estimated from the Earth's thermal profile, Water Resour.
Res., 1, 325–328, https://doi.org/10.1029/WR001i002p00325, 1965. a, b
Cederbom, C. E., van der Beek, P., Schlunegger, F., Sinclair, H. D., and
Oncken, O.: Rapid extensive erosion of the North Alpine foreland basin at
5–4 Ma, Basin Res., 23, 528–550,
https://doi.org/10.1111/j.1365-2117.2011.00501.x,
2011. a
Dempster, T. J. and Persano, C.: Low-temperature thermochronology: Resolving
geotherm shapes or denudation histories?, Geology, 34, 73–76,
2006. a
Ehlers, T. A.: Computational Tools for Low-Temperature Thermochronometer
Interpretation, Rev. Mineral. Geochem., 58, 589–622,
https://doi.org/10.2138/rmg.2005.58.22,
2005. a, b
Farley, K. A.: Helium diffusion from apatite: General behavior as illustrated
by Durango fluorapatite, J. Geophys. Res., 105, 2903–2914,
https://doi.org/10.1029/1999JB900348, 2000. a
Ferguson, G. and Grasby, S. E.: Thermal springs and heat flow in North
America, Geofluids, 11, 294–301, https://doi.org/10.1111/j.1468-8123.2011.00339.x,
2011. a, b
Ferguson, G., Grasby, S. E., and Hindle, S. R.: What do aqueous
geothermometers really tell us?, Geofluids, 9, 39–48,
https://doi.org/10.1111/j.1468-8123.2008.00237.x,
2009. a
Flowers, R. M., Ketcham, R. A., Shuster, D. L., and Farley, K. A.: Apatite
(U-Th)∕He thermochronometry using a radiation damage accumulation and
annealing model, Geochim. Cosmochim. Ac., 73, 2347–2365,
https://doi.org/10.1016/j.gca.2009.01.015, 2009. a, b
Gallagher, K.: Transdimensional inverse thermal history modeling for
quantitative thermochronology, J. Geophys. Res.-Sol. Ea.,
117, B02408, https://doi.org/10.1029/2011JB008825,
2012. a
Gautheron, C., Tassan-Got, L., Barbarand, J., and Pagel, M.: Effect of
alpha-damage annealing on apatite (U-Th)/He thermochronology, Chem.
Geol., 266, 157–170,
2009. a
Geuzaine, C. and Remacle, J.-F.: Gmsh: A 3-D finite element mesh generator
with built-in pre-and post-processing facilities, Int. J.
Numer. Meth. Eng., 79, 1309–1331,
https://doi.org/10.1002/nme.2579, 2009. a
Gorynski, K. E., Walker, J. D., Stockli, D. F., and Sabin, A.: Apatite
(U-Th)/He thermochronometry as an innovative geothermal exploration tool: A
case study from the southern Wassuk Range, Nevada, J. Volcanol.
Geoth. Res., 270, 99–114,
https://doi.org/10.1016/j.jvolgeores.2013.11.018, 2014. a
Griesser, J.-C. and Rybach, L.: Numerical thermohydraulic modeling of deep
groundwater circulation in crystalline basement: an example of calibration,
in: Hydrogeological Regimes and Their Subsurface Thermal Effects, edited by:
Alan E. Beck, Garven, G., and Stegena, L., American Geophysical
Union, Washington, D.C., 65–74, https://doi.org/10.1029/GM047p0065, 1989. a, b, c, d
Gross, L., Bourgouin, L., Hale, A. J., and Muhlhaus, H.-B.: Interface Modeling
in Incompressible Media using Level Sets in Escript, Phys. Earth
Planet. In., 163, 23–34, https://doi.org/10.1016/j.pepi.2007.04.004,
2007a. a, b
Gross, L., Cumming, B., Steube, K., and Weatherley, D.: A Python Module for
PDE-Based Numerical Modelling, in: Applied Parallel Computing. State of the
Art in Scientific Computing SE – 33, edited by: Kågström, B.,
Elmroth, E., Dongarra, J., and Waśniewski, J.,
Lecture Notes in Computer Science, Springer Berlin
Heidelberg, 4699, 270–279, https://doi.org/10.1007/978-3-540-75755-9_33, 2007b. a, b
Gross, L., Mühlhaus, H., Thorne, E., and Steube, K.: A New Design of
Scientific Software Using Python and XML, Pure Appl. Geophys., 165,
653–670, https://doi.org/10.1007/s00024-008-0327-7,
2008. a, b
Hayba, D. O. and Ingebritsen, S. E.: The computer model HYDROTHERM, a
three-dimensional finite-difference model to simulate ground-water flow and
heat transport in the temperature range of 0 to 1,200 degrees C, Tech. rep.,
US Geological Survey, Reston, Virginia, https://doi.org/10.3133/wri944045, 1994. a
Herman, F., Seward, D., Valla, P. G., Carter, A., Kohn, B., Willett, S. D., and
Ehlers, T. A.: Worldwide acceleration of mountain erosion under a cooling
climate, Nature, 504, 423–426, https://doi.org/10.1038/nature12877,
2013. a
Hickey, K. A., Barker, S. L. L., Dipple, G. M., Arehart, G. B., and Donelick,
R. A.: The brevity of hydrothermal fluid flow revealed by thermal halos
around giant gold deposits: implications for Carlin-type gold systems,
Econ. Geol., 109, 1461–1487, https://doi.org/10.2113/econgeo.109.5.1461, 2014. a, b
Howald, T., Person, M., Campbell, A., Lueth, V., Hofstra, A., Sweetkind, D.,
Gable, C. W., Banerjee, A., Luijendijk, E., Crossey, L., Karlstrom, K.,
Kelley, S., and Phillips, F. M.: Evidence for long timescale
(>1000 years) changes in hydrothermal activity induced by
seismic events, Geofluids, 15, 252–268, https://doi.org/10.1111/gfl.12113,
2015. a
Ketcham, R. A., Carter, A., Donelick, R. A., Barbarand, J., and Hurford, A. J.:
Improved modeling of fission-track annealing in apatite, Am.
Mineral., 92, 799–810, https://doi.org/10.2138/am.2007.2281, 2007. a, b
Ketcham, R. A., Donelick, R. A., Balestrieri, M. L., and Zattin, M.:
Reproducibility of apatite fission-track length data and thermal history
reconstruction, Earth Planet. Sc. Lett., 284, 504–515,
https://doi.org/10.1016/j.epsl.2009.05.015,
2009. a
Ketcham, R. A., Gautheron, C., and Tassan-Got, L.: Accounting for long
alpha-particle stopping distances in (U-Th-Sm)/He geochronology:
Refinement of the baseline case, Geochim. Cosmochim. Ac., 75,
7779–7791, https://doi.org/10.1016/j.gca.2011.10.011,
2011. a
Liu, S., Lu, L., Mao, D., and Jia, L.: Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements, Hydrol. Earth Syst. Sci., 11, 769–783, https://doi.org/10.5194/hess-11-769-2007, 2007. a, b
Louis, S., Luijendijk, E., Dunkl, I., and Person, M.: Episodic fluid flow in an active fault, Geology, 47, https://doi.org/10.1130/G46254.1, in press, 2019. a
Luijendijk, E.: The role of fluid flow in the thermal history of sedimentary
basins: Inferences from thermochronology and numerical modeling in the Roer
Valley Graben, southern Netherlands, Phd thesis, Vrije Universiteit
Amsterdam, available at: http://hdl.handle.net/1871/35433 (last access: 2 August 2019), 2012. a, b, c
Luijendijk, E.: Beo: model heat flow and thermochronology in hydrothermal
systems, https://doi.org/10.5281/zenodo.2527845, 2018. a
Malz, A., Madritsch, H., and Kley, J.: Improving 2D seismic interpretation in
challenging settings by integration of restoration techniques: A case study
from the Jura fold-and-thrust belt, Interpretation, 3, SAA37–SAA58,
https://doi.org/10.1190/INT-2015-0012.1, 2015. a
Márton, I., Moritz, R., and Spikings, R.: Application of low-temperature
thermochronology to hydrothermal ore deposits: Formation, preservation and
exhumation of epithermal gold systems from the Eastern Rhodopes, Bulgaria,
Tectonophysics, 483, 240–254, https://doi.org/10.1016/j.tecto.2009.10.020, 2010. a
McInnes, B. I. A., Evans, N. J., Fu, F. Q., and Garwin, S.: Application of
Thermochronology to Hydrothermal Ore Deposits, Rev. Mineral.
Geochem., 58, 467–498, 2005. a
Meesters, A. G. C. A. and Dunai, T. J.: Solving the production-diffusion
equation for finite diffusion domains of various shapes Part I. Implications
for low-temperature (U-Th)/He thermochronology, Chem. Geol., 186,
333–344, https://doi.org/10.1016/S0009-2541(01)00422-3,
2002a. a, b, c
Meesters, A. G. C. A. and Dunai, T. J.: Solving the production-diffusion
equation for finite diffusion domains of various shapes Part II. Application
to cases with a-ejection and nonhomogeneous distribution of the source,
Chem. Geol., 186, 57–73, https://doi.org/10.1016/S0009-2541(02)00073-6,
2002b. a, b, c
Monteith, J. L.: Evaporation and surface temperature, Q. J.
Roy. Meteor. Soc., 107, 1–27, https://doi.org/10.1002/qj.49710745102,
1981. a
National Institute of Standards and Technology: Thermophysical Properties of
Fluid Systems, available at: https://webbook.nist.gov/chemistry/fluid/, last access: 13 July 2018. a
Preusser, F., Graf, H. R., Keller, O., Krayss, E., and Schlüchter, C.:
Quaternary glaciation history of northern Switzerland, Quaternary Sci.
J., 60, 282–305, https://doi.org/10.3285/eg.60.2-3.06, 2011. a
Ranjram, M., Gleeson, T., and Luijendijk, E.: Is the permeability of
crystalline rock in the shallow crust related to depth, lithology, or
tectonic setting?, Geofluids, 15, 106–119, https://doi.org/10.1111/gfl.12098, 2015. a
Reiners, P. W., Ehlers, T. A., and Zeitler, P. K.: Past, present, and future
of thermochronology, Rev. Mineral. Geochem., 58, 1–18, https://doi.org/10.2138/rmg.2005.58.1, 2005. a
Saad, Y. and Schultz, M.: GMRES: A Generalized Minimal Residual Algorithm for
Solving Nonsymmetric Linear Systems, SIAM J. Sci.
Stat. Comp., 7, 856–869, https://doi.org/10.1137/0907058,
1986. a
Shuster, D. L., Flowers, R. M., and Farley, K. A.: The influence of natural
radiation damage on helium diffusion kinetics in apatite, Earth
Planet. Sc. Lett., 249, 148–161, https://doi.org/10.1016/j.epsl.2006.07.028,
2006. a
Sonney, R. and Vuataz, F. D.: Properties of geothermal fluids in Switzerland:
A new interactive database, Geothermics, 37, 496–509,
https://doi.org/10.1016/j.geothermics.2008.07.001, 2008. a, b, c, d
Volpi, G., Magri, F., Frattini, P., Crosta, G. B., and Riva, F.:
Groundwater-driven temperature changes at thermal springs in response to
recent glaciation: Bormio hydrothermal system, Central Italian Alps,
Hydrogeol. J., 25, 1967–1984, https://doi.org/10.1007/s10040-017-1600-6,
2017. a
von Hagke, C., Luijendijk, E., Ondrak, R., and Lindow, J.: Quantifying erosion
rates in the Molasse basin using a high resolution data set and a new thermal
model, Geotectonic Research, 97, 94–97, https://doi.org/10.1127/1864-5658/2015-36,
2015. a
Whipp, D. M. and Ehlers, T. A.: Influence of groundwater flow on
thermochronometer-derived exhumation rates in the central Nepalese Himalaya,
Geology, 35, 851–854, 2007. a
Wieck, J., Person, M. A., and Strayer, L.: A finite element method for
simulating fault block motion and hydrothermal fluid flow within rifting
basins, Water Resour. Res., 31, 3241–3258,
1995. a
Wolf, R. A., Farley, K. A., and Kass, D. M.: Modeling of the temperature
sensitivity of the apatite (U–Th)/He thermochronometer, Chem. Geol.,
148, 105–114, 1998. a
Short summary
This paper presents a new model code that can be used to date the flow of hot fluids in the crust and the age of hot springs. It does so by modelling the thermal effects of fluid flow in the subsurface and by comparing the results with low-temperature thermochronology, which is a widely used method to quantify the temperature history of minerals and rocks. The model also demonstrates the effects of the depth and angle of permeable faults on temperatures of hot springs.
This paper presents a new model code that can be used to date the flow of hot fluids in the...