Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 by Yulong Zhong, Baoming Tian, Hyunglok Kim, Xing Yuan, Xinyue Liu, Enda Zhu, Yunlong Wu, Lunche Wang, Lizhe Wang

“…Our findings deepen perception into the complex interactions between precipitation, land surface processes, and climate change, offering valuable implications for future water resource management and hydrological modeling.…”
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Discussion on Muskingum versus Integrator-Delay Models for Control Objectives by Yolanda Bolea, Vicenç Puig, Antoni Grau

“…The former is a simplified hydrological model which is very simple and extensively used in hydraulic engineering for simulation and prediction. …”
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Analysis of flood risk based on WMS model in urban catchment area Case study: Damand basins, Golabdareh and Saadabad, Tehran metropolitan area by amir safari, ali ahmadabadi, zahra sedighifar

“…In this regard, this research aims at integrating the WMS hydrologic model with ARC GIS software to estimate flood zones in the Damand, Goladdareh, Saadabad and Maghsoud Baik watersheds on the main river of Darband. …”
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Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood by Ling Zhang, Zhongshi Zhang, Lu Li, Xiaoling Chen, Xijin Wang, Entao Yu, Pratik Kad, Odd Helge Otterå, Chuncheng Guo, Jianzhong Lu, Mingna Wu

“…We developed a dynamical approach, NorESM-WRF-SWAT, integrating a global climate, a regional, and a hydrologic model to investigate the 1931 Yangtze River flood (the deadliest in the world) and compared it with the 1998’s. …”
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A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates by Mohammad Zakwan, Majid Niazkar

“…Finally, based on the comparative analysis, implementation of AI-based models, as a more accurate alternative, is suggested for estimating infiltration rates in hydrological models.…”
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Monitoring Total Water Storage Changes with GRACE Mission and GLDAS Model and Effect of Climatic Factors on These Changes: Case Study in Konya Basin by Emel Zeray Öztürk

“…Especially with the integration of satellite gravimetry and global hydrological models, these studies can be carried out relatively quickly and at low cost. …”
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Quantifying agricultural drought in the Koshi River basin through soil moisture simulation by Prabhat Banjara, Pallav Kumar Shrestha, Vishnu Prasad Pandey, Manisha Sah, Prajjwal Panday

“…Study focus: The mesoscale hydrological model (mHM) is applied to assess the historical spatio-temporal hazard of agricultural drought using soil moisture index (SMI) in the KoRiB. …”
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The response of the water cycle to landscape configuration and composition in two Chilean basins by Marieta Hernández-Sosa, Mauricio Aguayo, Jorge Hurtado, Ovidio Llompart

“…Aggregation, shape and diversity metrics were obtained using Fragstats software, and hydrological components were simulated by the TETIS hydrological model. Pearson correlation coefficients (PCC) and partial least squares (PLSR) analysis were used to determine how landscape patterns influence hydrological processes and streamflow behavior. …”
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Richards equation for the assessment of landslide hazards by Ramesh Chandra Timsina

“…We interconnect the solution of the equation for the assessment of the landslide hazards. A hydrological model of innite slope stability is adopted to the solution of axi symmetrical form of Richards equation to nd the factor of safety, which helps to locate the potential landslide area in geological surface. …”
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Study on the Impact of Future Climate Change on Extreme Meteorological and Hydrological Elements in the Upper Reaches of the Minjiang River by Ting Chen, Yao Ye, Kebi Yang, Xu Zhang, Tianqi Ao

“…Future changes in temperature, precipitation, and runoff from 2021 to 2050 in the upper reaches of the Minjiang River were analyzed using a distributed hydrological model, the SWAT (Soil and Water Assessment Tool), under a future climate scenario. …”
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Local and Regional Scale Evaluation of the Integrated Urban Land Model by Comparing with the Common Land Model by Chunlei Meng, Wenlong Zhang

“…Land surface evaporation is not only an important parameter in natural land surface modeling, but a crucial important parameter in urban hydrology modeling. A whole-layer soil evaporation scheme was developed in the integrated urban land model (IUM) to improve the soil evaporation simulation. …”
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Modeling Spatiotemporal Precipitation: Effects of Density, Interpolation, and Land Use Distribution by Christopher L. Shope, Ganga Ram Maharjan

“…The gauge network is a key driver in hydrologic modeling to characterize discharge. The accuracy of precipitation is dependent on the location of stations, the density of the network, and the interpolation scheme. …”
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CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India by N. K. Mangukiya, K. B. Kumar, P. Dey, S. Sharma, V. Bejagam, P. P. Mujumdar, P. P. Mujumdar, A. Sharma, A. Sharma

“…Furthermore, the dataset includes predicted streamflow time series from a regionally trained long short-term memory (LSTM)-based hydrological model for all 472 catchments which can fill gaps in observed streamflow data or serve as a benchmark for testing and developing new hydrological models. …”
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Modeling the Effects of Land-Cover Change on Rainfall-Runoff Relationships in a Semiarid, Eastern Mediterranean Watershed by Noa Ohana-Levi, Arnon Karnieli, Roey Egozi, Amir Givati, Aviva Peeters

“…A 1989 Landsat TM-derived classification map was used as input for a Kinematic Runoff and Erosion (KINEROS) hydrological model along with the precipitation data of an extreme rainfall event. …”
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Assessment of Climate Change Effects on Water Resources in the Yellow River Basin, China by Zhiyong Wu, Heng Xiao, Guihua Lu, Jinming Chen

“…Projected runoff in the basin for the period from 2001 to 2030 was simulated using the variable infiltration capacity (VIC) macroscale hydrology model. VIC was first calibrated using observations and then was driven by the precipitation and temperature projected by the RegCM3 high-resolution regional climate model under the IPCC scenario A2. …”
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Development and Application of Improved Long-Term Datasets of Surface Hydrology for Texas by Kyungtae Lee, Huilin Gao, Maoyi Huang, Justin Sheffield, Xiaogang Shi

“…This paper describes a long-term (1918–2011) grid-based (1/8°) surface hydrological dataset for Texas at a daily time step based on simulations from the Variable Infiltration Capacity (VIC) hydrological model. The model was calibrated and validated against observed streamflow over 10 Texas river basins. …”
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Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms by Anongrit Kangrang, Haris Prasanchum, Rattana Hormwichian

“…The Ubolrat Reservoir located in the northeast region of Thailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. …”
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Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario by Jia Liu, Shiyong Li, Xiaoxia Zhu

“…By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. …”
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Modeling Groundwater Resources in Data-Scarce Regions for Sustainable Management: Methodologies and Limits by Iolanda Borzì

“…This systematic review of Scopus-indexed papers identifies various approaches to address these challenges, including coupled hydrological-groundwater models, machine learning techniques, distributed hydrological models, water balance models, 3D groundwater flow modeling, geostatistical techniques, remote sensing-based approaches, isotope-based methods, global model downscaling, and integrated modeling approaches. …”
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Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

“…To address this, a SWAT-Glacier hydrological model and a degree–day factor model were used for snowmelt, glacier meltwater, and rainfall calculations. …”
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