Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…This study proposes an advanced methodology for medium- and long-term hydrological forecasting by integrating multiple machine learning models through a modified stacking ensemble strategy (MSES). …”
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TIPIFICACIÓN MORFOLÓGICA DE CURSOS PRINCIPALES. CUENCA DEL ARROYO EL NEGRO, SISTEMA DE VENTANIA, ARGENTINA by Alicia M. Campo, Verónica Gil, Guadalupe Ybarra Alcaráz, Antonela Volonté

“…Although there are several classifications and characterizations, Rosgen’s combines hydrological, geomorphological and ecological aspects that serves as important indicators towards this study. …”
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Evaluation of Drought Using Meteorological Drought Indices, a Case Study: Alanya (Türkiye) by Redvan Ghasemlounia, Mustafa Utlu

“…Based on this, the study and monitoring of hydrological and drought factors is an important issue that can have a significant impact on management decisions in the field of water resources, especially in crisis management. …”
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A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series by Hui Hu, Jianfeng Zhang, Tao Li

“…Historical daily streamflow series recorded at the Wushan and Weijiabao hydrologic stations from 1 January 2001 to 31 December 2014 in China were investigated using the proposed VMD-based models. …”
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Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran by Reza Shakeri, Hossein Amini, Farshid Fakheri, Man Yue Lam, Banafsheh Zahraie

“…Moreover, the insights gained lay the foundation for developing early warning systems, ensuring proactive and sustainable water quality management in similar hydrological contexts.…”
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The Influence of Coupled Thermomechanical Processes on the Pressure and Temperature due to Cold Water Injection into Multiple Fracture Zones in Deep Rock Formation by Bruno Figueiredo, Chin-Fu Tsang, Auli Niemi

“…Thermo-hydro-mechanical effects led to a maximum increase in the permeability of the fracture zones of approximately 10 times the initial value, which was associated with a decrease in the fluid pore pressure by a maximum factor of 1.25 and 2, when hydrological and thermohydrological effects were considered, respectively. …”
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Need for judicious selection of runoff inputs in a global flood model by Jayesh Parmar, Mohit Prakash Mohanty, Subhankar Karmakar

“…These widely adopted GFMs, capable of producing flood characteristics, require runoff input typically derived from land surface models (LSMs) or global hydrological models (GHMs), which are prone to inherit cascading uncertainties. …”
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Constructing Ubudehe? Farmers’ perceptions of drought impacts and resilience capacities in Bugesera, Rwanda by Lazare Nzeyimana, Åsa Danielsson, Veronica Brodén-Gyberg, Lotta Andersson

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An Apparent Thermal Inertia Based Trapezoid Model for Downscaling ESA CCI Soil Moisture Products by Shulin Li, Minfeng Xing, Taifeng Dong

“…Various spectral information derived from optical satellite data, such as the land surface temperature-vegetation parameter (LST-VP), have been widely employed to detect spatiotemporal variability of SM under different regional hydrological scales. In this study, inspired by the concept of LST-VI space, an ATI-VP (apparent thermal inertia-vegetation parameter) was proposed and assessed for downscaling the ESA CCI SM product from 25 to 1 km. …”
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Evidence of active subglacial lakes under a slowly moving coastal region of the Antarctic Ice Sheet by J. F. Arthur, C. Shackleton, G. Moholdt, K. Matsuoka, J. van Oostveen

“…Our results improve knowledge of subglacial meltwater dynamics and evolution in this region of East Antarctica and provide new observational data to refine subglacial hydrological models.</p>…”
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eDNA Metabarcoding, a Promising Tool for Monitoring Aquatic Biodiversity in the Estuaries of Reunion Island (South‐West Indian Ocean) by Lou‐Anne Jannel, François Guilhaumon, Pierre Valade, Pascale Chabanet, Guillaume Borie, Henri Grondin, Philippe Jourand

“…We measured the diversity and structure of the fish community in three estuaries with various geographical, hydrological, and anthropogenic conditions over different seasons. …”
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Numerical modeling of land subsidence induced by groundwater extraction considering unsaturated effects and using element-free Galerkin (EFG) method by A. Tourei, A. Pak, M. A. Iranmanesh

“…For this simulation, we have adopted the element-free Galerkin (EFG) method and considered the unsaturated effects in the aquifers based on the aquifer's hydrologic and geotechnical characteristics. This model gives us a better understanding of the aquifer's hydrogeological characteristics, enabling us to forecast changes in the hydraulic head and land subsidence. …”
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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

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Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

“…Abstract Precipitation is a critical part of the global hydrological cycle that determines the distribution of water resources. …”
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Urban vegetation benefits in mediterranean cities for climate change adaptation and water usage efficiency – a case study in Algarve, Portugal by Pedro Matias, Pedro Matias, Pedro Matias, Manuela Moreira da Silva, Manuela Moreira da Silva, Manuela Moreira da Silva, João Teigão, Amílcar Duarte, Amílcar Duarte

“…In this study, we quantified the ecosystem services (CO2 sequestration and storage, O2 production, air pollutants removal, and hydrological effects as transpiration, water intercepted and avoided runoff) provided by urban vegetation in Faro (Algarve, Portugal), with a detailed analysis of three green spaces. …”
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Synoptic and Mesoscale Atmospheric Patterns That Triggered the Natural Disasters in the Metropolitan Region of Belo Horizonte, Brazil, in January 2020 by Thaís Aparecida Cortez Pinto, Enrique Vieira Mattos, Michelle Simões Reboita, Diego Oliveira de Souza, Paula S. S. Oda, Fabrina Bolzan Martins, Thiago Souza Biscaro, Glauber Willian de Souza Ferreira

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Spatiotemporal Changes in Evapotranspiration and Its Influencing Factors in the Jiziwan Region of the Yellow River from 1982 to 2018 by Wenting Liu, Rong Tang, Ge Zhang, Jiacong Xue, Baolin Xue, Yuntao Wang

“…In recent years, ET has undergone significant changes in the Jiziwan region of the Yellow River Basin, primarily due to the implementation of ecological restoration programs and the dual impacts of climate change. As a result, hydrological cycle processes have been profoundly affected, making it crucial to accurately capture trends in ET and its components, as well as to identify the key drivers of these changes. …”
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Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin by Ren Xu, Nengcheng Chen, Yumin Chen, Zeqiang Chen

“…However, little information is available regarding the downscaling using machine learning methods, specifically at hydrological basin scale. This study developed multiple machine learning (ML) downscaling models, based on a Bayesian model average (BMA), to downscale the precipitation simulation of 8 Coupled Model Intercomparison Project Phase 5 (CMIP5) models using model output statistics (MOS) for the years 1961–2005 in the upper Han River basin. …”
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Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India by Pradeep Khatri, Tadahiro Hayasaka, Prabir K. Patra, Husi Letu, Hiren Jethva, Sachiko Hayashida

“…These findings highlight the potential impacts of agricultural biomass burning activities on the regional climate system and hydrological cycle, emphasizing the need for more detailed studies in the future.…”
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A methodology to compile multi-hazard interrelationships in a data-scarce setting: an application to the Kathmandu Valley, Nepal by H. E. Thompson, J. C. Gill, R. Šakić Trogrlić, F. E. Taylor, B. D. Malamud

“…Using these sources, our study identified 21 single hazard types across 6 hazard groups (geophysical, hydrological, shallow Earth processes, atmospheric, biophysical, and space/celestial hazards) and 83 multi-hazard interrelationships (12 have direct case study evidence of previous influence in the Kathmandu Valley) that might influence the Kathmandu Valley. …”
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