Hydrology and Climate Change Article Summaries

This dataset provides continuous meteorological and sap flow measurements recorded between 2022 and 2023 in the Taihang Mountains to support transpiration research.

This dataset provides processed model output and Python plotting scripts designed to track the Atlantic Meridional Overturning Circulation (AMOC) under climate change scenarios.

This study evaluates relative water availability in Coyhaique Province, Chile, revealing that water stress increases toward the east due to the combined effects of climatic gradients and anthropogenic pressure.

This study evaluates the application of the peaks-over-threshold (POT) approach to Lithuanian rivers, finding that it provides a more comprehensive characterization of flood magnitude, frequency, and seasonality than traditional annual maximum series.

The paper introduces the Thin-Cloud-Sensitive Network (TCSNet), a dual-branch deep learning architecture designed to improve the detection of thin clouds in hyperspectral imagery by balancing spatial and spectral feature extraction.

This paper corrects a previous error regarding the comparison of precipitation variability between coupled climate models and models run with prescribed sea surface temperatures (AMIP models).

This study evaluates a subsurface water management system using a sheet pipe (SPC) enveloped in calcite-reinforced sand, demonstrating improved water flow rates and productivity in rice cultivation compared to traditional methods.

This study analyzes the combined impact of hydroclimatic anomalies and socioeconomic activities on water resources in Northwest China, finding that agricultural irrigation and warming-induced evapotranspiration offset the benefits of increased precipitation.

This dataset provides calculated spatial distribution data of rainfall at the watershed scale, intended for use in soil erosion research.

This study utilizes a LightGBM-SHAP framework to quantify the multi-scale influence of 2D and 3D urban morphology on Land Surface Temperature (LST) in Beijing during a summer heatwave. The results reveal that 2D factors dominate LST regulation at fine-to-medium scales, while 3D factors become more influential at coarser scales.

The study introduces a network-based framework using nonlinear synchronization to predict extreme rainfall in Central India, successfully forecasting over 60% of events exceeding the 95th percentile.

This study analyzes the climatic drivers and spatial dynamics of drought in four districts of Rajasthan, India, from 1951 to 2020, revealing that while precipitation trends are stable, significant warming is intensifying drought through district-specific climatic mechanisms.

This study evaluates the impact of regulated deficit irrigation (RDI) on the yield and water use efficiency (WUE) of open-field processing tomatoes in a semiarid Mediterranean environment. The results demonstrate that mild deficit irrigation (80% ETc) maintains yields comparable to full irrigation while significantly increasing water productivity.

This scoping review analyzes irrigation monitoring technologies in South Africa, finding that while water quality and remote sensing are prevalent, there is a critical lack of research into acoustic monitoring despite significant infrastructure water losses.

This study presents an update to the HadSST dataset (version 4.2.0.0) to eliminate a residual warm bias during the Second World War (WW2) by refining Engine Room Intake (ERI) bias corrections and addressing truncation bias in Japanese observations.

This study evaluates deterministic flood fatality models using European data from 1980–2024, concluding that current models are inadequate for predicting flash flood fatalities despite their disproportionately high mortality rate.

The paper introduces `unseen-awg`, an analog weather generator that utilizes reforecast data to produce high-resolution synthetic weather series capable of simulating unprecedented extremes and maintaining complex spatial and multivariate dependencies.

This study evaluates the impact of climate change on water demand in Sardinian vineyards using the SIMETAW_GIS model, finding that while water demand is projected to increase by mid-century, rising atmospheric $\text{CO}_2$ concentrations partially mitigate this effect.

This work presents an expanded dataset of Algerian forest fires, increasing the number of instances from 244 to 1215 to enhance the study of meteorological influences and fire danger indices.

This dataset provides water level, floodplain, and riverbed composition data for typical cross-sections of the middle reaches of the Yangtze River to support hydrological and flood-stage analysis.