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A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

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A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model (English)

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Koray K. Yilmaz

1

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Hoshin Gupta

object named as

Hoshin V. Gupta

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2

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Thorsten Wagener

object named as

Thorsten Wagener

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3

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publication date

September 2008

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published in

Water Resources Research

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volume

44

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issue

9

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cites work

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Dominant physical controls on hourly flow predictions and the role of spatial variability: Mahurangi catchment, New Zealand

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Uniqueness and observability of conceptual rainfall-runoff model parameters: The percolation process examined

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Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

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Reconciling theory with observations: elements of a diagnostic approach to model evaluation

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Model identification for hydrological forecasting under uncertainty

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Catchment Classification and Hydrologic Similarity

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Multi-objective global optimization for hydrologic models

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Intercomparison of Rain Gauge, Radar, and Satellite-Based Precipitation Estimates with Emphasis on Hydrologic Forecasting

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Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

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Understanding catchment behavior through stepwise model concept improvement

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DOI

10.1029/2007WR006716

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(Q58213814)

A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

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