Hydrology and Climate Change Article Summaries

This study quantified submarine groundwater discharge (SGD) and associated nutrient fluxes along the Kanyakumari coast of India using radon and nutrient mass balance approaches, revealing significant seasonal variations influenced by monsoonal recharge and tidal dynamics.

This paper presents a dataset and methodology for creating a soil profile depth map for the Magic Valley, Idaho, USA, by manually extracting and geostatistically interpolating soil depths from approximately 5,700 publicly available well log reports. The study demonstrates the utility of this data source for mapping critical soil properties in dryland regions, essential for understanding ecosystem productivity and climate regulation.

This study applied the WaTEM/SEDEM model to assess spatiotemporal soil erosion and sediment dynamics in the Wadi Ouahrane Basin, north-central Algeria, from 1973 to 2017, revealing significant internal sediment deposition and a total river export of 39,000 kg.

This study introduces Geographically Weighted XGBoost (GW-XGBoost), a hybrid and interpretable framework, to model pixel-level vegetation responses to climate extremes in the Middle East. The model, calibrated with 30 years of multi-source Earth Observation data, outperforms baseline models and reveals a significant ecological transition where vegetation sensitivity has shifted from cold/precipitation constraints to warm temperatures and episodic moisture pulses.

This study investigates the responses of spectral albedo, vegetation greenness, and albedo-driven radiative forcing to drought and wet conditions in the Amazon (2005-2016) across evergreen broadleaf forest, grassland, and savannas. It finds that visible and shortwave albedo negatively correlate with wetness over grasslands and savannas, while evergreen broadleaf forests show less pronounced and more complex responses, with significant implications for surface radiative forcing.

This study develops and cross-validates an integrated framework for flood simulation and risk assessment in urban underground spaces, combining a rapid rainfall-informed capacity–depth–damage (C–D–D) curve method with a detailed computational fluid dynamics (CFD) inundation model. The framework provides actionable risk indicators, demonstrating that higher rainfall intensities significantly reduce evacuation windows, with both methods showing strong consistency in threshold timing while CFD offers superior spatial resolution for early risk identification.

This study assessed evaporation and seepage losses in Aswan High Dam Lake (AHDL) by integrating Sentinel-3 imagery, field data, and the water balance equation, demonstrating the method's reliability for estimating these water losses and evaporation rates.

This study evaluates and improves the SURFEX-ISBA V9.0 land surface model's estimation of latent heat fluxes in semi-arid environments by implementing a dry surface layer (DSL) soil resistance. The DSL resistance successfully reduced the overestimation of bare soil evaporation, leading to a 29% to 32% reduction in the daily Root Mean Square Error of latent heat flux at two contrasting sites.

This study validates 19 CMIP6 models against historical observations to project future monthly hydroclimate changes in the Mississippi River system under the SSP3-7.0 pathway. It finds consistent increases in precipitation but decreases in soil moisture due to enhanced evaporative demand, with highly divergent and regionally varied trends for runoff and discharge driven by large-scale atmospheric and oceanic patterns.

This study projects surface runoff variability in the arid Zardtol watershed under climate change using the SWAT model and CMIP6 scenarios, revealing significant future reductions in average monthly runoff and an intensification of hydrological droughts.