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Observed Trends in Global Indicators of Mean and Extreme Streamflow
Observed Trends in Global Indicators of Mean and Extreme Streamflow
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Observed Trends in Global Indicators of Mean and Extreme Streamflow

Gudmundsson, L. ; Leonard, M. ; Do, H. X. ; Westra, S. ; Seneviratne, S. I.

Geophysical research letters, 2019-01, Vol.46 (2), p.756-766 [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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2
Climate change and other trends in streamflow observations in Australian forested catchments since 1970
Climate change and other trends in streamflow observations in Australian forested catchments since 1970
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Climate change and other trends in streamflow observations in Australian forested catchments since 1970

Vervoort, R. Willem ; Dolk, Michaela M. ; Ogtrop, Floris F.

Hydrological processes, 2021-01, Vol.35 (1), p.n/a [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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3
Uncertainties in historical changes and future projections of drought. Part I: estimates of historical drought changes
Uncertainties in historical changes and future projections of drought. Part I: estimates of historical drought changes
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Uncertainties in historical changes and future projections of drought. Part I: estimates of historical drought changes

Dai, Aiguo ; Zhao, Tianbao

Climatic change, 2017-10, Vol.144 (3), p.519-533 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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4
A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments
A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments
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A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments

Knoben, W. J. M. ; Freer, J. E. ; Peel, M. C. ; Fowler, K. J. A. ; Woods, R. A.

Water resources research, 2020-09, Vol.56 (9), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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5
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
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Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

Mohammadi, Babak ; Linh, Nguyen Thi Thuy ; Pham, Quoc Bao ; Ahmed, Ali Najah ; Vojteková, Jana ; Guan, Yiqing ; Abba, S.I. ; El-Shafie, Ahmed

Hydrological sciences journal, 2020-07, Vol.65 (10), p.1738-1751 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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6
Determination of accurate baseline representation for three Central Iowa watersheds within a HAWQS-based SWAT analyses
Determination of accurate baseline representation for three Central Iowa watersheds within a HAWQS-based SWAT analyses
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Determination of accurate baseline representation for three Central Iowa watersheds within a HAWQS-based SWAT analyses

Brighenti, Tássia Mattos ; Gassman, Philip W. ; Schilling, Keith E. ; Srinivasan, Raghavan ; Liebman, Matt ; Thompson, Jan R.

The Science of the total environment, 2022-09, Vol.839, p.156302-156302, Article 156302 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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7
A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data
A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data
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A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data

Knoben, Wouter J. M. ; Woods, Ross A. ; Freer, Jim E.

Water resources research, 2018-07, Vol.54 (7), p.5088-5109 [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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8
A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data
A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data
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A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data

Lerat, Julien ; Thyer, Mark ; McInerney, David ; Kavetski, Dmitri ; Woldemeskel, Fitsum ; Pickett-Heaps, Christopher ; Shin, Daeyhok ; Feikema, Paul

Journal of hydrology (Amsterdam), 2020-12, Vol.591, p.125129, Article 125129 [Periódico revisado por pares]

Elsevier B.V

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9
Using Remote Sensing Data‐Based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments
Using Remote Sensing Data‐Based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments
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Using Remote Sensing Data‐Based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments

Huang, Qi ; Qin, Guanghua ; Zhang, Yongqiang ; Tang, Qiuhong ; Liu, Changming ; Xia, Jun ; Chiew, Francis H. S. ; Post, David

Water resources research, 2020-08, Vol.56 (8), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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10
Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?
Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?
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Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?

Zhang, Yongqiang ; Chiew, Francis H. S. ; Liu, Changming ; Tang, Qiuhong ; Xia, Jun ; Tian, Jing ; Kong, Dongdong ; Li, Congcong

Water resources research, 2020-01, Vol.56 (1), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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