| publications-1701 |
Peer reviewed articles |
2022 |
Alexander Strehz; Thomas Einfalt |
Precipitation Data Retrieval and Quality Assurance from Different Data Sources for the Namoi Catchment in Australia |
Geomatics |
10.3390/geomatics1040024 |
Simulation & Modeling |
Wastewater Treatment Plants |
|
Within the Horizon 2020 Project WaterSENSE a modular approach was developed to provide different stakeholders with the required precipitation information. An operational high-quality rainfall grid was set up for the Namoi catchment in Australia based on rain gauge adjusted radar data. Data availability and processing considerations make it necessary to explore alternative precipitation approaches. The gauge adjusted radar data will serve as a benchmark for the alternative precipitation data. The two well established satellite-based precipitation datasets IMERG and GSMaP will be analyzed with the temporal and spatial requirements of the applications envisioned in WaterSENSE in mind. While first results appear promising, these datasets will need further refinements to meet the criteria of WaterSENSE, especially with respect to the spatial resolution. Inferring information from soil moisture-derived from EO observations to increase the spatial detail of the existing satellite-based datasets is a promising approach that will be investigated along with other alternatives. |
870344 |
|
|
|
| publications-1702 |
Peer reviewed articles |
2022 |
Rutger Willem VervoortIgnacio FuentesJoost BrombacherJelle DegenPedro Chambel-LeitãoFlávio Santos |
Progress in Developing Scale-Able Approaches to Field-Scale Water Accounting Based on Remote Sensing |
Sustainability |
10.3390/su14052732 |
Simulation & Modeling |
Wastewater Treatment Plants |
|
To increase water productivity and assess water footprints in irrigated systems, there is a need to develop cheap and readily available estimates of components of water balance at fine spatial scales. Recent developments in satellite remote sensing platforms and modelling capacities have opened opportunities to address this need, such as those being developed in the WaterSENSE project. This paper showed how evapotranspiration, soil moisture, and farm-dam water volumes can be quantified based on the Copernicus data from the Sentinel satellite constellation. This highlights distinct differences between energy balance and crop factor approaches and estimates that can be derived from the point scale to the landscape scale. Differences in the results are related to assumptions in deriving evapotranspiration from remote sensing data. Advances in different parts of the water cycle and opportunities for crop detection and yield forecasting mean that crop water productivity can be quantified at field to landscape scales, but uncertainties are highly dependent on input data availability and reference validation data. |
870344 |
|
|
|
| publications-1703 |
Peer reviewed articles |
2021 |
Ignacio Fuentes, Richard Scalzo, R. Willem Vervoort |
Volume and uncertainty estimates of on-farm reservoirs using surface reflectance and LiDAR data |
Environmental Modelling & Software |
10.1016/j.envsoft.2021.105095 |
Simulation & Modeling |
Wastewater Treatment Plants |
|
No abstract available |
870344 |
|
|
|
| publications-1704 |
Peer reviewed articles |
2024 |
Marc F.P. Bierkens, L.P.H. Rens van Beek, Niko Wanders |
Gisser-Sánchez revisited: A model of optimal groundwater withdrawal under irrigation including surface–groundwater interaction |
Journal of Hydrology |
10.1016/j.jhydrol.2024.131145 |
Uncategorized |
River Basins |
|
No abstract available |
101019185 |
|
|
|
| publications-1705 |
Peer reviewed articles |
2024 |
Barry van Jaarsveld, Niko Wanders, Edwin H. Sutanudjaja, Jannis Hoch, Bram Droppers, Joren Janzing, Rens L. P. H. van Beek, Marc F. P. Bierkens |
A first attempt to model global hydrology at hyper-resolution |
Earth System Dynamics Discussions (preprint) |
10.5194/egusphere-2024-1025 |
Hydrological modeling |
Hydropower Dams & reservoirs |
|
Abstract. Global hydrological models are one of the key tools that can help meet the needs of stakeholders and policy makers when water management strategies and policies are developed. The primary objective of this paper is therefore to establish a first of its kind, truly global hyper-resolution hydrological model that spans a multiple-decade period (1985–2019). To achieve this, two key limitations are addressed, namely the lack of high resolution meteorological data and insufficient representation of lateral movement of snow and ice. Thus a novel meteorological downscaling procedure that better incorporates fine-scale topographic climate drivers is incorporated, and a snow module capable of lateral movement of frozen water resembling glaciers, avalanches and wind movement is included. We compare this global 30 arc-seconds version of PCR-GLOBWB to previously published 5 arc-minutes and 30 arc-minutes versions by evaluating simulated river discharge, snow cover, soil moisture, land surface evaporation, and total water storage against observations. We show that hyper-resolution provides a more accurate simulation of river discharge, this is especially true for smaller catchments. We highlight that although global hyper-resolution modelling is possible with current computational resources and that hyper-resolution modelling results in more realistic representations of the hydrological cycle; our results suggest that global hydrological modelling still needs to incorporate landcover heterogeneity at the sub-grid scale and include processes relevant at the kilometre scale in search of better predictive capacity to provide more accurate estimates of soil moisture and evaporation fluxes. |
101019185 |
|
|
|
| publications-1706 |
Peer reviewed articles |
2024 |
Daniel Zamrsky; Gualbert H. P. Oude Essink; Marc F. P. Bierkens |
Global Impact of Sea Level Rise on Coastal Fresh Groundwater Resources |
Earth's Fututure |
10.1029/2023ef003581 |
Data Management & Analytics |
Hydropower Dams & reservoirs |
|
AbstractGroundwater is the main freshwater source in many densely populated and industrialized coastal areas around the world. Growing future freshwater demand is likely to increase the water stress in these coastal areas, possibly leading to groundwater overexploitation and salinization. This situation will likely be aggravated by climate change and the associated projected sea level rise. Here, we assess the impact of sea level rise exclusively on coastal fresh groundwater resources worldwide (limited to areas with unconsolidated sedimentary systems) by estimating future decline in inland fresh groundwater volumes under three sea level rise scenarios following Representative Concentration Pathway (RCP) 2.6, 4.5, and 8.5. For that, 2D groundwater models in 1,200 coastal regions estimate the past, present and future groundwater salinity. Our results show that roughly 60 (range 16–96) million people living within 10 km from current coastline could lose more than 5% of their fresh groundwater resources by 2100 according to RCP 8.5 scenario compared to only 8 (range 0–50) million people based on RCP 2.6 scenario. We conclude that sea level rise will have severe consequences for many coastal populations heavily dependent on fresh groundwater. |
101019185 |
|
|
|
| publications-1707 |
Peer reviewed articles |
2023 |
M. O. Cuthbert; T. Gleeson; M. F. P. Bierkens; G. Ferguson; R. G. Taylor |
Defining Renewable Groundwater Use and Its Relevance to Sustainable Groundwater Management |
Water Resources Research |
10.1029/2022wr032831 |
Data Management & Analytics |
Uncategorized |
|
AbstractGroundwater systems are commonly defined as renewable or non‐renewable based on natural fluxes of recharge or on estimates of aquifer storage and groundwater residence time. However, we show here that the principle of capture (i.e., how recharge and discharge change due to pumping) challenges simple definitions so that a groundwater system cannot be renewable or non‐renewable in and of itself, but only with reference to how the groundwater is being used. We develop and propose more hydraulically informed definitions for flux‐renewable and storage‐renewable groundwater use, and a combined definition that encompasses both the flux‐based and storage‐based perspectives such that: renewable groundwater use allows for dynamically stable re‐equilibrium of groundwater levels and quality on human timescales. Further, we show how a matrix of combinations of (a) the ratio of pumping rate to the maximum rate of capture along with (b) the response or recovery timescales implicit in this definition, leads to a useful four‐quadrant framework for characterizing groundwater use, illustrated using case studies from aquifers around the world. Renewable groundwater use may inform pathways to groundwater sustainability, which encompasses a broader set of dimensions (e.g., socio‐political, economic, ecological and cultural) beyond the scope of groundwater science. We propose that separating physically robust definitions of renewable groundwater use from the inherently value‐based language of sustainability, can help bring much needed clarity to wider discussions about sustainable groundwater management strategies, and the role of groundwater science and scientists in such endeavors. |
101019185 |
|
|
|
| publications-1708 |
Peer reviewed articles |
2024 |
Nicole Gyakowah Otoo, Edwin H. Sutanudjaja, Michelle T. H. van Vliet, Aafke M. Schipper, Marc F. P. Bierkens |
Mapping groundwater dependent ecosystems using a high-resolution global groundwater model |
Hydrology and Earth System Science |
10.5194/hess-2024-112 |
Uncategorized |
Uncategorized |
|
Abstract. Global population growth, economic growth, and climate change have led to a decline in groundwater resources, which are essential for sustaining groundwater dependent ecosystems (GDEs). To understand their spatial and temporal dependency on groundwater, we developed a framework for mapping GDEs at a large scale, using results from a high-resolution global groundwater model. To evaluate the proposed framework, we focus on the Australian continent because of the abundance of groundwater depth observations and the presence of a GDE atlas. We first classify GDEs into three categories: aquatic (rivers and lakes), wetlands (inland wetlands), and terrestrial (phreatophyte) GDEs. We then define a set of rules for identifying these different ecosystems, which are based, among others, on groundwater levels, and groundwater discharge. We run the groundwater model in both steady state and transient mode (period of 1979–2019) and apply the set of rules to map the different types of GDEs using model outputs. For steady-state, GDEs are mapped based on presence or absence, and results are evaluated against the Australian GDE atlas using a hit rate, false alarm, and critical success index. Results show a hit rate above 80 % for each of the three GDE types. From transient runs, we analyse the changes in groundwater dependency between two time periods, 1979–1999 and 1999–2019 and observe a decline in the average number of months that GDEs depend on groundwater resources, pointing at an increasing threat to these ecosystems. The proposed framework and methodology provide a basis for analysing how global impacts of climate change and water use may affect GDEs extent and health. |
101019185 |
|
|
|
| publications-1709 |
Peer reviewed articles |
2023 |
Sebastian Gnann, Robert Reinecke, Lina Stein, Yoshihide Wada, Wim Thiery, Hannes Müller Schmied, Yusuke Satoh, Yadu Pokhrel, Sebastian Ostberg, Aristeidis Koutroulis, Naota Hanasaki, Manolis Grillakis, Simon N. Gosling, Peter Burek, Marc F. P. Bierkens, Thorsten Wagener |
Functional relationships reveal differences in the water cycle representation of global water models |
Nature Water |
10.1038/s44221-023-00160-y |
AI & Machine Learning |
Uncategorized |
|
AbstractGlobal water models are increasingly used to understand past, present and future water cycles, but disagreements between simulated variables make model-based inferences uncertain. Although there is empirical evidence of different large-scale relationships in hydrology, these relationships are rarely considered in model evaluation. Here we evaluate global water models using functional relationships that capture the spatial co-variability of forcing variables (precipitation, net radiation) and key response variables (actual evapotranspiration, groundwater recharge, total runoff). Results show strong disagreement in both shape and strength of model-based functional relationships, especially for groundwater recharge. Empirical and theory-derived functional relationships show varying agreements with models, indicating that our process understanding is particularly uncertain for energy balance processes, groundwater recharge processes and in dry and/or cold regions. Functional relationships offer great potential for model evaluation and an opportunity for fundamental advances in global hydrology and Earth system research in general. |
101019185 |
|
|
|
| publications-1710 |
Peer reviewed articles |
2024 |
J. Verkaik; J. Verkaik; E. H. Sutanudjaja; G. H. P. Oude Essink; G. H. P. Oude Essink; H. X. Lin; H. X. Lin; M. F. P. Bierkens; M. F. P. Bierkens |
GLOBGM v1.0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model |
Geoscientific Model Development |
10.5194/gmd-2022-226 |
Data Management & Analytics |
Water Distribution Networks |
|
Abstract. We discuss the various performance aspects of parallelizing our global-scale groundwater model at 30ʺ resolution (30 arcseconds; ~1 km at the equator) on large distributed memory parallel clusters. This model, here referred to as the GLOBGM, is the successor of our 5ʹ (5 arcminutes; ~10 km at the equator) PCR-GLOBWB 2 groundwater model based on MODFLOW having two model layers. The current version of the GLOBGM (v1.0) used in this study also has two model layers, is uncalibrated, and uses available 30ʺ PCR-GLOBWB data. Increasing the model resolution from 5ʹ to 30ʺ gives challenges for dealing with the increasing runtime, memory usage and data storage, going beyond the possibilities of a single computer. We show that our parallelization tackles these problems with relatively low parallel hardware requirement to meet average users/modelers who do not have exclusive access to hundreds or thousands of nodes within a supercomputer. For our simulation we use unstructured grids and a prototype version of MODFLOW 6 that we have parallelized using the message passing interface. We construct an unstructured grid having a total of 278 million active cells to cancel all redundant sea and land cells, while satisfying all necessary boundary conditions, and distribute independent (sub)grids over three continental-scale models (Afro-Eurasia; 168 M, Americas; 77 M, and Australia; 16 M) and one remainder model for the smaller islands (17 M). Each of the four groundwater models is partitioned into multiple non-overlapping submodels that are tightly coupled within the MODFLOW linear solver, where each submodel is uniquely assigned to one processor core and associated submodel data is written in parallel during the pre-processing using data tiles. For balancing the parallel workload in advance, we apply the widely used METIS graph partitioner in two ways: straightforwardly applied to all model grid cells, and area-based applied to HydroBASINS catchments that are assigned to submodels for pre-sorting to a future coupling with surface water. We consider an experiment for simulating 1958–2015 with daily timesteps and monthly input, including a 20-year spin-up, on the Dutch national supercomputer Snellius. Given that the serial simulation would require ~4.5 months of runtime, we set a hypothetical target of a maximum of 16 hours of simulation runtime. We show that 12 nodes (32 cores per node, 384 cores in total) are sufficient to achieve this target, resulting in a speed-up of 138 for the largest Afro-Eurasia model using 7 nodes (224 cores) in parallel. A limited evaluation of the model output using NWIS head observations for the contiguous United States was conducted, showing that increasing the resolution from 5ʹ to 30ʺ results in a significant improvement with GLOBGM for the steady-state simulation compared to the 5ʹ PCR-GLOBWB groundwater model. However, results for the transient simulation are quite similar and there is much room for improvement. For next versions of the GLOBGM further improvements require a more detailed hydrogeological schematization and better information on the locations, depths and regime of abstraction wells. |
101019185 |
|
|
|
