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Hydrology and Earth System Sciences
Scopus
ISSN 1027-5606 · Copernicus Publications · 6.230 artikel di indeks
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Detecting the occurrence of preferential flow in soils with stable water isotopes
Subsurface flow in preferential pathways in soils may transport water more rapidly than the soil matrix, may be quickly activated during precipitation events and enhance infiltration or interflow. Vertical pathways are particularly important for runoff generation. However, identifying these…
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Evaluating the feasibility of scaling the FIER framework for large-scale flood inundation prediction
Floods are a recurring global threat, causing lives lost, property damage, and agricultural impacts. Accurate and timely flood inundation forecasts are crucial for effective disaster preparedness and mitigation. However, traditional flood forecasting methods often face challenges in terms of…
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An original approach combining biogeochemical signatures and a mixing model to discriminate spatial runoff-generating sources in a peri-urban catchment
Hydrograph separation using biogeochemical data is a commonly used method for the vertical decomposition of flow into surface, subsurface and groundwater contributions. However, its application to the spatial decomposition of flow remains limited, despite its potential to identify contributions…
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The general formulation for mean annual runoff components estimation and their change attribution
Estimating runoff components, including surface flow, baseflow and total runoff is essential for understanding precipitation partition and runoff generation and facilitating water resource management. However, a general framework to quantify and attribute runoff components is still lacking. Here…
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Mechanisms and scenarios of the unprecedent flooding event in South Brazil 2024
In May 2024, an extraordinary precipitation event triggered record floods in southern Brazil, particularly impacting complex river–estuary–lagoon systems, and resulting in unprecedented impacts on the local population and infrastructure. As climate change projections indicate an increase in such…
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Evaluating Long-Term Effectiveness of Managed Aquifer Recharge for Groundwater Recovery and Nitrate Mitigation in an Overexploited Aquifer System
Managed aquifer recharge (MAR) has been widely recognized as an effective strategy for groundwater restoration and has been implemented globally. In the North China Plain, over-extraction of groundwater has led to a continuous decline in water levels, forming one of the world's most significant…
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Mitigating the impact of increased drought-flood abrupt alternation events under climate change: the role of reservoirs in the Lancang-Mekong River Basin
The Lancang-Mekong River (LMR) Basin is highly vulnerable to extreme hydrological events, including Drought-Flood Abrupt Alternation (DFAA). The efficacy of potential mitigation measures, such as reservoir operations, on DFAA under climate change remains poorly understood. This study investigates…
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Technical note: Literature based approach to estimate future snow
The seasonal snow cover in the European Alps is increasingly threatened by rising temperatures due to climate change. Still, downscaled climate projections are lacking for many regions. To address this gap, we developed a literature-based approach for projecting future snow depths, that is…
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Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework
Compound flood risk assessments require probabilistic estimates of flood depths and extents that are derived from compound flood models. It is essential to simulate a wide range of flood driver conditions to capture the full range of variability in resultant flooding. Although recent advancements…
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Rain-on-wet-soil compound floods in lowlands: the combined effect of large rain events and shallow groundwater on discharge peaks in a changing climate
The relationship between initial soil moisture and floods is well studied in sloping areas, but not in lowland catchments, where the saturated zone, unsaturated zone and surface water are strongly coupled. The aim of this study was to determine the importance of initial groundwater depth…
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High resolution monthly precipitation isotope estimates across Australia from machine learning
The stable isotopic composition of precipitation (δ2HP, δ18OP; “water isotopes”) is a powerful tool for tracking water through the atmosphere, as well as fingerprinting land-surface water masses and identifying water cycle biases in isotope-enabled climate models. Water isotopes also underpin our…
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Insights into evapotranspiration partitioning based on hydrological observations using the generalized proportionality hypothesis
Evapotranspiration comprises transpiration, soil evaporation, and interception. The partitioning of evapotranspiration is challenging due to the lack of direct measurements and uncertainty of existing evapotranspiration partitioning methods. We propose a novel method to estimate long-term mean…
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Questioning the Endorheic Paradigm: water balance dynamics in the Salar del Huasco basin, Chile
Arid endorheic basins exhibit limited water availability shaped by strong precipitation and evaporation variability. Understanding these processes is crucial for sustainable water resources management in such fragile environments. This study examines how rainfall and evaporation drive the spatial…
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Technical note: Including hydrologic impact definition in climate projection uncertainty partitioning: a case study of the Central American mid-summer drought
The Central American mid-summer drought (MSD) is a defining precipitation pattern within the regional hydrologic system linked to water and food security. Past changes and future projections in the MSD show a strong sensitivity to how the MSD is defined. The question then arises as to whether…
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When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models
Merging physics-based with data-driven approaches in hybrid hydrological modeling offers new opportunities to enhance predictive accuracy while addressing challenges of model interpretability and fidelity. Traditional hydrological models, developed using physical principles, are easily…
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Joint calibration of multi-scale hydrological data sets using probabilistic water balance data fusion: methodology and application to the irrigated Hindon River Basin, India
Hydrological data sets have vast potential for water resource management applications; however, they are subject to uncertainties. In this paper, we develop and apply a monthly probabilistic water balance data fusion approach for automatic bias correction and noise filtering of multi-scale…
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Revealing the causes of groundwater level dynamics in seasonally frozen soil zones using interpretable deep learning models
Accurately characterizing groundwater level dynamics in seasonal frozen soil regions is of great significance for water resource management and ecosystem protection. To this end, this study proposes a new interpretable deep learning method to reveal the underlying causes of groundwater level…
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Image-based classification of stream stage to support ephemeral stream monitoring
Intermittent rivers and ephemeral streams (IRES) constitute a large fraction of global river networks, provide important ecosystem services, and are increasing in number with climate change. Yet, observing stage and calculating discharge in IRES can be technologically and methodologically…
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Climate change effects on river droughts in Bavaria using a hydrological large ensemble
Europe and Germany have been hit by severe meteorological droughts in recent years, which have resulted in extreme low flow conditions in streams. Climate projections expect an intensification and increase in the frequency of the associated meteorological drivers. In this study, we investigate the…
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Assessing the impact of Earth Observation data-driven calibration of the melting coefficient on the LISFLOOD snow module
LISFLOOD is a continental, operational hydrological model widely used in Europe. Among various hydrological processes, it simulates snowmelt using a degree-day approach, where the snowmelt coefficient is typically calibrated against discharge data. This study evaluates LISFLOOD’s current snow…
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