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Report of the Kansas State Board of Agriculture : Containing Report of the Division of Water Resources ... and Stream-Flow Data

Subjects: Streamflow Kansas.; Streamflow Analysis. Kansas; Stream measurements Kansas.

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Improving ensemble streamflow forecasts through targeted post-processing and rating curve uncertainty analysis

• Authors : Trudel, Mélanie; Boucher, Marie-Amélie; Askarinejad, Alireza

Subjects: Flood forecasting; Post-processing; Rating curve uncertainty

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EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe

• Authors : do Nascimento, Thiago V M; https://orcid.org/0000-0001-6213-8310; Rudlang, Julia

Subjects: Institute of Geography; 910 Geography & travel; Journal Article

• Source: do Nascimento, Thiago V M; Rudlang, Julia; Höge, Marvin; van der Ent, Ruud; Chappon, Máté; Seibert, Jan; Hrachowitz, Markus; Fenicia, Fabrizio (2024). EStreams: An integrated dataset and

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Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow

• Authors : Kareem, Baydaa Abdul; Zubaidi, Salah L.; Al-Ansari, Nadhir

Subjects: Univariate streamflow; machine learning; hybrid model

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Streamflow drought onset and severity explained by non-linear responses between climate-catchment and land surface processes

• Authors : Raut, A.; Ganguli, P.; Kumar, Rohini

Subjects: catchment properties; onset; severity

• Source: ISSN: 0885-6087

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Intercomparison of deep learning models in predicting streamflow patterns: insight from CMIP6

• Authors : Anwar, Hamid; Khan, Afed Ullah; Ullah, Basir

Subjects: CMIP6; Deep learning; GCM

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A multi-model evaluation of probabilistic streamflow predictions via residual error modelling

• Authors : Romero-Cuellar, J.; Arabzadeh, R.; Craig, J.R.

Subjects: Uncertainty analysis; Probabilistic prediction; Residual error

• Source: ISSN: 0022-1694

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Spatiotemporal convolutional long short-term memory for regional streamflow predictions

• Authors : Mohammed, A. Corzo, G.

Subjects: deep learning; journal article; streamflow

• Source: Journal of Environmental Management; 350

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Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions

• Authors : Xu, W. Chen, J. Corzo, G. Xu, C. Y. Zhang, X. J. Xiong, L. Liu, D. Xia, J.

Subjects: hydrological modelling; journal article; streamflow

• Source: Water Resources Research; 60; 2

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Uncertain benefits of using remotely sensed evapotranspiration for streamflow estimation - insights from a randomized, large-sample experiment

• Authors : Do, H.X.; Nguyen, H.T.T.; Tran, V.N.

Subjects: Remote sensing evapotranspiration; Streamflow simulation; Uncertainty analysis

• Source: ISSN: 0920-4741

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