Hydrology and Climate Change Article Summaries

This paper introduces a novel runtime bias correction method for lake surface water temperature (LSWT) and lake ice in climate models. Applied within a regional climate model over the Great Lakes, this method significantly improves the climatological annual cycle, spatial distributions, and interannual variability of LSWT, ice, evaporation, and Net Basin Supply (NBS).

This study investigates the relationship between streamflow and active stream network extent using an integrated hydrological model, revealing that while synchronous relationships show hysteresis in larger catchments, a robust, asynchronous power-law scaling emerges at event scales, consistent across varying catchment sizes.

This study presents a new algorithm that applies mass conservation and regionalized runoff estimates to reduce systematic bias in Surface Water and Ocean Topography (SWOT) satellite-derived river discharge, demonstrating significant error reduction in spatially unbiased basins and highlighting the importance of addressing spatial bias.

This study developed a crop-growth-stage-based framework to assess agricultural flash drought (AFD) risk under climate change, revealing that future AFD events, particularly during reproductive stages, will lead to increased maize yield losses despite potentially shorter durations, primarily driven by rising maximum temperatures.

This study develops a probabilistic framework to quantify the evolving likelihood, rapidness, and seasonal timing of drought-to-pluvial transitions under future warming. It reveals a systematic reorganization of these hydroclimatic dynamics, indicating that future drought recovery may increasingly occur through faster, more frequent, and seasonally altered transitions to wet conditions.

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This study examines the interdecadal changes in the relationship between spring Indian Ocean Sea Surface Temperature (IOSST) and summer extreme precipitation (SEP) in northern Xinjiang, Northwest China. It finds a significant strengthening of this relationship during 1984–2004, primarily mediated by the subtropical westerly jet over Central Asia, which is modulated by IOSST independently of El Niño during this later period.

This study investigates the relationship between Tibetan Plateau whole-column heating and persistent compound heat-drought extremes (PCHDEs) over the Middle and Lower Yangtze River (MLYR), revealing that large-scale circulation configurations accompanying MLYR PCHDEs vary significantly with the intensity of TP atmospheric heating.

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This study designs and implements BRAIN, a continental-scale, 2 km resolution hourly precipitation analysis system for Australia, integrating Himawari satellite, national radar network, and sub-daily rain gauge data using statistical interpolation. The blended analysis significantly improves precipitation estimates, capturing finer-scale rainfall structures and intensity variations compared with individual sources and existing operational products.

This study introduces UQ-flood, a novel process-based flood frequency framework integrating a stochastic weather generator, a hydrologic model, and an annual-maximum residual error model. It demonstrates that this framework effectively corrects systematic biases in flood estimates and supports reliable flood quantile estimation, even with short data records.

## Identification - **Journal:** [Hydrological Sciences Journal](https://www.tandfonline.com/toc/thsj20/current) - **Year:** 2026...

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This study evaluated the Analytical Land–Atmosphere Radiometer Model (ALARM) for estimating actual evapotranspiration (ETa) in heterogeneous perennial tree systems within an arid environment. ALARM successfully reproduced the seasonal dynamics of ETa, demonstrating its potential for crop water use assessment in such challenging conditions.

This study evaluated meteorological drought conditions in Tuzluca District, Türkiye, from 1960–2024 using four drought indices across multiple time scales. It found significant temporal variability and differing trends among indices, underscoring the necessity of a multi-index approach for comprehensive drought characterization and management.

This study empirically evaluated the hv-block cross-validation procedure for model selection in reference evapotranspiration (ETo) estimation under temporal autocorrelation. It found that while hv-block showed a higher over-selection rate in simulations, its practical impact on ETo estimation accuracy was negligible.

This study identified meteorological and agricultural drought events in Asia using CMIP6 multi-model data and an improved clustering algorithm, analyzing their spatiotemporal differentiation, migration patterns, and response relationships under historical and future Socioeconomic Pathways (SSPs) to understand future drought risk.

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## Identification - **Journal:** [Hydrological Sciences Journal](https://www.tandfonline.com/toc/thsj20/current) - **Year:** 2026...

This study quantifies the anthropogenic climate change influence on the intensity of nine recent hydroclimate whiplash events using a multi-model ensemble of wind-nudged simulations, revealing that climate change accounts for an average of 9% of observed whiplash intensity, primarily driven by non-linear increases in potential evapotranspiration.