Hydrology and Climate Change Article Summaries

This study proposes a process-oriented framework (DMMD) for daily dynamic monitoring of summer maize drought, strategically employing the 10-day Standardized Precipitation Index (SPI10) for the latency phase and the Vegetation Water Index (VWI) for the development phase, revealing that stress initiation precedes visible damage by an average of 9 days.

This study investigates cloud and precipitation responses to artificial enhancement in Jinan, China, identifying 107 effective seeding cases and evaluating S-band radar product capabilities to indicate precipitation, ultimately developing a multiple linear regression model to estimate post-seeding precipitation.

This study characterizes the probabilistic and spatial variability of infiltration-related soil hydraulic parameters in arid ephemeral stream watersheds of Jazan Province, Saudi Arabia, finding high variability in hydraulic conductivity and storage suction factor, and anisotropic spatial correlation.

This study evaluates nine CMIP6 climate models and their multi-model mean ensemble for projecting future temperature and precipitation changes in the Didessa sub-basin, Ethiopia, under SSP2-4.5 and SSP5-8.5 scenarios, revealing significant warming and increased precipitation variability, particularly under high-emission pathways.

This study evaluates the Tabular Prior-data Fitted Network (TabPFN) for small-sample crop classification in mountainous regions, demonstrating its superior accuracy and reliability compared to baseline models, while also highlighting the optimistic bias of random validation under spatial dependence.

This study investigated the combined effects of thermal environments and artificial light at night (ALAN) on urban vegetation phenology (UVP) in Shenyang City. It found that nighttime light duration significantly delays autumn vegetation phenology (EOS), with a greater impact than on spring phenology (SOS), alongside land surface temperature.

This paper investigates the use of a promptable segmentation foundation model to monitor water surfaces and waterlogging zero-shot across various illumination and weather conditions in urban drainage systems. The study demonstrates that the model can accurately detect water events without task-specific training or labeling.

This study systematically evaluates existing soil evaporation schemes, identifies sand volume fraction as a key driver for evaporation suppression, and develops an improved scheme (S92_sand) that significantly enhances the simulation of soil evaporation and wetness in land surface models.

This study compares optical multispectral indices for soil moisture assessment in a heterogeneous agricultural area, finding the Visible and Shortwave Infrared Drought Index (VSDI) to be the most effective, and demonstrating that vegetation density significantly influences its sensitivity to soil moisture.

This study investigated root water uptake patterns of winter cereals (wheat, barley) across two contrasting growing seasons in a temperate cropland, revealing that water uptake depth is a conditional, reversible, and dynamic response to topsoil drying, rather than a systematic deepening, which helps buffer transpiration and maintain water-use efficiency during dry spells.

This study investigated the effectiveness of forest thinning and mulching treatments in mitigating winter drought impacts on soil moisture in dryland forests across Arizona. It found that both treatments, especially in combination, significantly improved soil matric potential and drought resilience during and after winter drought periods.

This systematic review evaluates the application of remote sensing and geographic information systems in assessing climate-related water resource decline, identifying evolving research themes, methodological shifts towards data-driven approaches, and persistent challenges in cross-scale transferability and linking depletion to climatic indicators.

This study reconstructed the complete lifecycle of soil moisture-vapor pressure deficit (SM–VPD) compound droughts in Central Asia from 1981 to 2024 using a three-dimensional (3D) event tracking framework, revealing distinct spatiotemporal behaviors for soil moisture and atmospheric droughts and asymmetric lifecycle dynamics with significant soil memory effects.

This study investigates the impact of monsoon intraseasonal oscillation (MISO) on aerosols and extreme rainfall events in Central India, revealing a negative correlation between aerosol optical depth and ERE frequency. The research also explores the effects of aerosols on atmospheric dynamics and cloud properties across MISO's eight phases.

This study presents an integrated modelling framework to generate future drought projections for the Western Black Sea Basin in Türkiye under four Shared Socioeconomic Pathway (SSP) scenarios. The results show that drought exposure increases relative to the baseline, with a significant increase in the duration and severity of drought events.

This study proposes Physics-former-Rn-SG, a novel model that integrates multiple components to improve land surface temperature forecasting while enforcing physical consistency over long horizons. The model achieves improved forecast accuracy, calibration, and reduced variance inflation compared to existing methods.

This study proposes a hybrid deep-learning framework for multivariate meteorological prediction in tropical regions. The proposed architecture achieved competitive forecasting performance for temperature, relative humidity, and wind speed using ERA5 atmospheric variables.

This study examines the long-term structural connectivity in Jiashan County's plain river network using graph-theory indices and explores its relationship with climatic variability and land-use change.

This study evaluates the spatial, seasonal, and diurnal variations in surface urban heat island intensities (SUHIIs) across three major cities in Alabama, USA, using an integrated clustering approach with MODIS LST time series. The findings show that SUHIIs vary significantly among the study areas and across seasonal and diurnal cycles.

This study analyzes 1.7 million runoff-producing events across 4838 catchments on six continents to understand the time-variance in catchment hydrologic function and its controlling factors.