(Q59814451)

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On the ability to infer spatial catchment variability using streamflow hydrographs

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On the ability to infer spatial catchment variability using streamflow hydrographs (English)

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Hoshin V. Gupta

2

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author name string

Prafulla Pokhrel

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1

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publication date

August 2011

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published in

Water Resources Research

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volume

47

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issue

8

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cites work

Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) IV: Model sensitivity to data aggregation and spatial (re-)distribution

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https://api.crossref.org/works/10.1029%2F2010WR009873

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7 January 2021

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Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods

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https://api.crossref.org/works/10.1029%2F2010WR009873

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7 January 2021

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Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model

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7 January 2021

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Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

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Effects of spatial variability on the rainfall runoff process in a small loess catchment

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7 January 2021

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On the impact of rainfall patterns on the hydrologic response

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7 January 2021

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Spatial variability of field-measured soil-water properties

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7 January 2021

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THE THEORY OF INFILTRATION

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7 January 2021

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On the use of spatial regularization strategies to improve calibration of distributed watershed models

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7 January 2021

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A spatial regularization approach to parameter estimation for a distributed watershed model

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https://api.crossref.org/works/10.1029%2F2010WR009873

retrieved

7 January 2021

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Rainfall characteristics define the value of streamflow observations for distributed watershed model identification

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https://api.crossref.org/works/10.1029%2F2010WR009873

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7 January 2021

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10.1029/2010WR009873

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(Q59814451)

On the ability to infer spatial catchment variability using streamflow hydrographs

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