Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China by M. Tudaji, Y. Nan, F. Tian

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Impact of Spatio-Temporal Variability of Droughts on Streamflow: A Remote-Sensing Approach Integrating Combined Drought Index by Anoma Srimali, Luminda Gunawardhana, Janaka Bamunawala, Jeewanthi Sirisena, Lalith Rajapakse

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Streamflow projections for the Jhelum River basin under climate change by Mustafa Javed, Jürgen Böhner, Shabeh ul Hasson

“…For this, successful calibration and validation of the eco-hydrological Soil and Water Integrated Model (SWIM) against observed streamflow for 1999–2004 and 1994–1999, respectively was completed. …”
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Quantifying and Classifying Streamflow Ensembles Using a Broad Range of Metrics for an Evidence‐Based Analysis: Colorado River Case Study by Homa Salehabadi, David G. Tarboton, Kevin G. Wheeler, Rebecca Smith, Sarah Baker

“…In this paper, we suggest an evidence‐based analysis in which streamflow ensembles, whether statistically similar to and representative of the past or a changing future, should be characterized and assessed using an extensive set of statistical metrics. …”
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A comparative analysis of national water model versions 2.1 and 3.0 reveals advances and challenges in streamflow predictions during storm events by Sujana Timilsina, Paola Passalacqua

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Uncertainty and driving factor analysis of streamflow forecasting for closed-basin and interval-basin: Based on a probabilistic and interpretable deep learning model by Chaowei Xu, Yasong Chen, Dianchang Wang, Yunpeng Zhao, Yukun Hou, Yating Zhu, Qiushi Shen

Subjects: “…Daily streamflow…”
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Spatial and temporal analysis of changes in hydrological fluxes and their relation to deforestation in the Madeira River basin by Eliana Torres, Shreedhar Maskey, Gerald Corzo, Remko Uijlenhoet, Dimitri Solomatine

“…Correlation analysis (2001–2015) showed a statistically significant and positive relationship between forest area and evaporation in wet months (r = 0.73, p < 0.1) and a negative correlation between forest area and streamflow during the same season (r = –0.6, p < 0.1). …”
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Land Use Change Increases Streamflow Across the Arc of Deforestation in Brazil by M. C. Levy, A. V. Lopes, A. Cohn, L. G. Larsen, S. E. Thompson

“…Abstract Nearly half of recent decades' global forest loss occurred in the Amazon and Cerrado (tropical savanna) biomes of Brazil, known as the arc of deforestation. Despite prior analysis in individual river basins, a generalizable empirical understanding of the effect of deforestation on streamflow across this region is lacking. …”
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Drought decreases annual streamflow response to precipitation, especially in arid regions by A. Matanó, R. Hamed, M. I. Brunner, M. I. Brunner, M. I. Brunner, M. H. Barendrecht, A. F. Van Loon

“…Our analysis shows that, generally, droughts with streamflow or soil moisture anomalies below the 15th percentile lead to around 20 % decrease in streamflow response to precipitation during drought compared to the historical norm. …”
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A unified probability distribution of second order difference of global streamflow by Haiting Gu, Weiping Cheng, Hao Chen, Li Liu, Jingkai Xie, Yue-Ping Xu

“…By analyzing long time series of streamflow data from ~ 4800 hydrologic stations, it is interesting to find out that probability density functions in second order difference (SOD) of the streamflow data are fat-tailed and bell-shaped curves, and their cumulative distribution functions (CDFs) follow an S-shaped curve (S-curve). …”
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Streamflow and sediment simulation in the Song River basin using the SWAT model by Shams Quamar, Pradeep Kumar, Harendra Prasad Singh

“…This study assesses the performance of the Soil and Water Assessment Tool (SWAT) in simulating streamflow and sediment for the Song River watershed, with a focus on calibration, validation, and sensitivity analysis. …”
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Simulation and reconstruction of parameters of streamflow and glacier mass balance in the Northern Caucasus by V. G. Konovalov

“…The work was aimed at numerical modeling of spatial-temporal variability of the river Terek seasonal (April to September) streamflow characteristics and long-term fluctuations of components of annual glacier mass balances in this basin and on the adjacent territories. …”
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Optimising ensemble streamflow predictions with bias correction and data assimilation techniques by M. Tanguy, M. Tanguy, M. Eastman, M. Eastman, A. Chevuturi, E. Magee, E. Cooper, R. H. B. Johnson, K. Facer-Childs, J. Hannaford, J. Hannaford

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Climate Driven Trends in Historical Extreme Low Streamflows on Four Continents by Glenn A. Hodgkins, Benjamin Renard, Paul H. Whitfield, Gregor Laaha, Kerstin Stahl, Jamie Hannaford, Donald H. Burn, Seth Westra, Anne K. Fleig, Walszon Terllizzie Araújo Lopes, Conor Murphy, Luis Mediero, Martin Hanel

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Future Streamflow and Hydrological Drought Under CMIP6 Climate Projections by Tao Liu, Yan Liu, Zhenjiang Si, Longfei Wang, Yusu Zhao, Jing Wang

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Evaluating time-lagged relationships between groundwater storage and river discharge using GRACE-based data: insights from the Potomac Basin by AJ Villaruel, Alimatou Seck, Cherie Schultz

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Disaggregation of Annual to Monthly Streamflow: A Case Study of Kızılırmak Basin (Turkey) by Shatha H. D. Al-Zakar, N. Şarlak, Omar M. A. Mahmood Agha

“…This model assumes that a set of aggregated annual streamflows at a key station is available and desired for disaggregation to a corresponding series of streamflow at key station (temporal disaggregation) as well as at tributary stations (spatial disaggregation). …”
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Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model by Bugrayhan Bickici, Beste Hamiye Beyaztas, Zaher Mundher Yaseen, Ufuk Beyaztas, Ercan Kahya

“…ABSTRACT Streamflow (Qflow) process is one of the complex stochastic processes in the hydrology cycle owing to its associated non‐linearity and non‐stationarity characteristics. …”
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Predicting Annual Tigris River Streamflow at Kut Barrage using SAMS Program by Ghufran R. AL-Youdawi, Laith B. AL-Badranee

“… Forecasting synthetic hydrologic data is the primary goal of the Stochastic Analysis, Modeling, and Simulation (SAMS) program. …”
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Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin by Akhila Akkala, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Pouya Hosseinzadeh, Ayman Nassar

“…Streamflow prediction is vital for effective water resource management, enabling a better understanding of hydrological variability and its response to environmental factors. …”
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