Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge‐Based Framework and Deep Learning by Parnian Ghaneei, Ehsan Foroumandi, Hamid Moradkhani

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Improved National‐Scale Above‐Normal Flow Prediction for Gauged and Ungauged Basins Using a Spatio‐Temporal Hierarchical Model by Shiqi Fang, J. Michael Johnson, Lilit Yeghiazarian, A. Sankarasubramanian

“…The STHM is calibrated (1993–2008) and validated (2009–2018) in controlled, natural, and coastal basins over three broad groups, and shows significant improvement for the first two basin types. A seasonal analysis shows the most influential predictors beyond NWM streamflow reanalysis are the previous 3‐day average streamflow and the aridity index for controlled and natural basins, respectively. …”
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Temporal variability of average and low flows in Slovak rivers: A 90-year perspective by Pavla Pekárová, Dana Halmová, Veronika Bačová Mitková, Jana Poórová, Lotta Blaškovičová, Ján Pekár, Igor Leščešen, Zbyněk Bajtek

Subjects: “…Streamflow variability…”
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Future water resources and droughts in the Atlas Mountains of Morocco under a high-emission climate scenario by Ouiaam Lahnik, Yves Tramblay, Lahoucine Hanich, Jafet C.M. Andersson, Redouane Lguensat, Kristina Isberg, Aicha Ben Ahmed, Joel Dahn, Benjamin Sultan

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Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment by Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh, Mukhtar Jibril Abdi, Ayman M. Elameen, Almutaz A.A. Mohammed, Hussam Eldin Elzain

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Streamflow changes and warming climate-induced flood risks for 1960–2016 in the Nenjiang River Basin, northeastern China by Mengyuan Wang, Suocheng Dong, Ping Wang, Zehong Li, Shiqi Liu, Shuwen Zhang, Jie Mei

“…Understanding streamflow changes under climate warming is critical for water resource management and disaster prevention in mid- and high-latitude regions. …”
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Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia by Napisah Nasir, Dani Irwan, Ali Najah Ahmed, Saerahany Legori Ibrahim, Izihan Ibrahim, Mohsen Sherif, Ahmed El-Shafie

“…Study focus: This research focuses on assessing the effectiveness of various machine learning (ML) techniques for predicting daily streamflow in the upper Klang River, Malaysia. The study emphasizes model development, data preprocessing (such as imputing missing data with Kalman smoothing and selecting lagged inputs through autocorrelation analysis), and performance evaluation using statistical indicators. …”
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Reply to Comment by W. Knoben and M. Clark on “The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records” by Debora Y. deOliveira, Jasper A. Vrugt

“…Snowmelt as pointed out by KC23 (https://doi.org/10.1029/2022WR034294) may not have received sufficient attention in our paper, yet their 365‐day record is simply not long enough to demonstrate bias of our discharge error variance estimates (and their dependence on flow level). This would require analysis of a much longer, multi‐year, streamflow record of a snowmelt‐driven watershed. …”
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A Proof of Concept for Improving Estimates of Ungauged Basin Streamflow via an LSTM‐Based Synthetic Network Simulation Approach by A. A. Ramírez Molina, J. M. Frame, J. Halgren, J. Gong

“…To mitigate this, we propose utilizing long short‐term memory (LSTM) networks to estimate historic streamflow in ungauged watersheds, effectively creating “surrogate gauges.” …”
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Hydrological Evaluation of Streamflow Drought Index Method for Different Time Scales: A Case Study of Arsuz Plain, Turkey by Evren TURHAN, Buse Duyan Çulha, Serin Değerli

“…With the help of these data, Streamflow Drought Index (SDI) values were calculated for different time scales such as 3, 6 and 12 months. …”
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The effect of climate change on the simulated streamflow of six Canadian rivers based on the CanRCM4 regional climate model by V. K. Arora, A. Lima, R. Shrestha

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Influence of Critical Zone Architecture and Snowpack on Streamflow Generation Processes: A Mountain‐Meadow Headwater System in a Mediterranean Climate by P. Z. Klos, R. G. Lucas, M. H. Conklin

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Quantification of streamflow response to climate change and human activities within upstream mountainous areas of the Daqing River Basin, Northern China by Zengyi Li, Weifan Chen, Linna Wang

“…Change-point analysis revealed that the streamflow in the Beihedian River and Xidayang Reservoir watersheds experienced a significant change point around 1999, with a significant level of α=0.05. …”
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CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations by J. Liu, J. Koch, S. Stisen, L. Troldborg, A. L. Højberg, H. Thodsen, M. F. T. Hansen, R. J. M. Schneider

“…For 304 of those catchments, streamflow observations are provided, whereas simulated streamflow is provided for all 3330 catchments. …”
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Assessing CFSR climate data for rainfall-runoff modeling over an ungauged basin between Iraq and Iran by Omeed Al-Kakey, Mustafa Al-Mukhtar, Shimelis Berhanu, Volkmar Dunger

“…Nevertheless, model uncertainty analysis after calibration showed that more than 88% of measured streamflow values at the basin outlet were bracketed within the 95 percent prediction uncertainty (95PPU) band for OMD and CFSR. …”
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Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments by H. A. Canham, B. Lane, C. B. Phillips, B. P. Murphy

“…The role of water year type and season should be considered in future hydrologic analysis to better isolate the increasing and changing effects of wildfires on streamflow. …”
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Runoff component quantification and future streamflow projection in a large mountainous basin based on a multidata-constrained cryospheric–hydrological model by M. Zhang, M. Zhang, Y. Nan, Y. Nan, F. Tian, F. Tian

“…In this study, we conducted a systematic analysis of the streamflow variations and runoff components in the YTR basin, using a physically based hydrological model validated by streamflow and multiple datasets related to cryospheric processes. …”
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Streamflow Monitoring at High Temporal Resolution Based on Non‐Contact Instruments and Manually Surveyed Bathymetry in a River Prone to Bathymetric Shifts by G. Nord, S. Safdar, M. Hasanyar, K. O. Eze, R. Biron, G. Freche, H. Denis, C. Legout, A. Hauet, M. Esteves

“…Abstract This study presents a proof of concept of a reliable methodology for monitoring streamflow in a dynamic river of the Alps prone to bathymetric changes using non‐contact instruments. …”
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Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea by Huiseong Noh, Jongso Lee, Narae Kang, Dongryul Lee, Hung Soo Kim, Soojun Kim

“…This study reveals that analysis results and degree of accuracy depend significantly on rainfall characteristics (rainy season and dry season) and QPE algorithms when conducting a runoff simulation with radar.…”
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Ensemble Streamflow Simulations in a Qinghai–Tibet Plateau Basin Using a Deep Learning Method with Remote Sensing Precipitation Data as Input by Jinqiang Wang, Zhanjie Li, Ling Zhou, Chi Ma, Wenchao Sun

“…By employing a 1D Convolutional Neural Networks (1D CNN), streamflow simulations from multiple models are integrated and a Shapley Additive exPlanations (SHAP) interpretability analysis was conducted to examine the contributions of individual models on ensemble streamflow simulation. …”
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