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Sharma et al. (2026) Impact of Reservoirs on Streamflow Extremes in India
This study quantifies the impact of 223 reservoirs on India's streamflow extremes using a national hydrologic modeling system, revealing significant attenuation of monsoon high flows and augmentation of pre-monsoon low flows, but also highlighting a high vulnerability due to rapid reservoir saturation.
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Sarigil et al. (2026) Technical note: Evaluation of snow water equivalent from large-scale land-surface products over Italy
This study evaluates Snow Water Equivalent (SWE) estimates from three large-scale land-surface products (ERA5-Land, CERRA-Land, VHR-REA_IT) across Italy against the IT-SNOW reference dataset. It reveals significant regional differences in product performance, with forcing biases explaining a substantial portion of the observed SWE discrepancies, offering guidance for long-term hydro-climatological assessments.
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Shen et al. (2026) Network-based subbasin-scale mapping of streamflow alteration in Ontario, Canada
This study introduces the Streamflow Alteration Index (SAI), a parsimonious, network-based screening metric, to map and quantify potential streamflow alteration across Ontario, Canada. The resulting SAI v1.0 database provides a practical and reproducible baseline for large-domain hydrologic and ecological applications by estimating the percentage of upstream drainage area exposed to alteration sources.
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Aadhar et al. (2026) Role of hydrometeorological variables and catchment area to flood generation over the monsoonal climate region of India
This study investigates the hydrometeorological and catchment-scale drivers of flood generation in India's Godavari River basin, revealing how temporal precipitation properties and specific catchment areas contribute to flood events across different aridity regimes. It differentiates between short-duration, single-event floods in semi-arid regions and long-duration, multi-event floods in semi-humid areas, identifying key flood-dominant sub-basins.
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Sawada et al. (2026) Technical note: Benefits of Bayesian estimation of model parameters in a large hydrological model ensemble
This study investigates the benefits of Bayesian estimation for quantifying parametric uncertainty within a large hydrological model ensemble. It finds that Bayesian parameter estimation significantly improves individual model performance, especially for complex models, thereby influencing the interpretation of model structural comparisons. However, it offers only marginal improvements to multi-model ensemble hydrological predictions, suggesting that the high computational cost of Bayesian methods is often not justified for practical forecasting when structural diversity is present.
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Zheng et al. (2026) State Dependence of Soil‐Moisture Responses to Meteorological Dry–Wet Abrupt Alternation
This study investigated global soil moisture responses to meteorological dry-wet abrupt alternation (M-DWAA) events, revealing that soil moisture acts as a state-dependent filter, selectively propagating atmospheric signals rather than responding uniformly.
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Yu et al. (2026) Flash drought early warning by a two-stage coupled framework integrating Causal-ConvLSTM in the Han River basin
This study develops a two-stage coupled framework for 15-day flash drought early warning in the Han River Basin, integrating a Causal-ConvLSTM model for root-zone soil moisture forecasting and a LightGBM classifier with seasonal optimal thresholds. The framework achieves competitive performance (AUC of 0.788, accuracy of 0.715) and successfully identifies severe flash drought events 15 days in advance, providing a reliable operational tool for drought mitigation.
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Pan et al. (2026) Disentangling the impacts of climate change and human activities on hydrological drought recovery from a daily grid-scale perspective
This paper aims to disentangle the distinct impacts of climate change and human activities on hydrological drought recovery, analyzing these influences from a daily grid-scale perspective.
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Wu et al. (2026) Enhanced Sensitivity of the Asian Water Tower to La Niña in the 21st Century
This paper investigates the stationarity of the teleconnection between the El Niño–Southern Oscillation (ENSO) and Tibetan Plateau rainy-season precipitation. It reveals that the plateau's sensitivity to La Niña has significantly enhanced in the post-2001 epoch, driven by changes in the Western Pacific Subtropical High and monsoon moisture transport.
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Janzing et al. (2026) How the River Network Shapes Spatiotemporal Drought Behavior Across Europe
This study investigates the isolated effect of river networks on spatial streamflow drought connectivity across Europe using high-resolution hydrological model simulations, finding that river networks generally increase drought extent and that water bodies modulate this effect by decoupling runoff from discharge.
