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A transferability study of model parameters for the variable infiltration capacity land surface scheme

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A transferability study of model parameters for the variable infiltration capacity land surface scheme (English)

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Maoyi Huang

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English

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publication date

2003

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Journal of Geophysical Research

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108

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D22

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The future of distributed models: Model calibration and uncertainty prediction

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

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Neural modeling for time series: A statistical stepwise method for weight elimination

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Effective and efficient global optimization for conceptual rainfall-runoff models

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Parameter estimation of a land surface scheme using multicriteria methods

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Training feedforward networks with the Marquardt algorithm.

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Artificial Neural Network Modeling of the Rainfall-Runoff Process

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Comparison of SOM point densities based on different criteria.

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Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification

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The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment:

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Bayesian Interpolation

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A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States*

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Predicting the Discharge of Global Rivers

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Pruning algorithms-a survey.

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Evaluation of the effects of general circulation models' subgrid variability and patchiness of rainfall and soil moisture on land surface water balance fluxes

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7 January 2021

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The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:

1 reference

stated in

Crossref

reference URL

https://api.crossref.org/works/10.1029%2F2003JD003676

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7 January 2021

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A transferability study of model parameters for the variable infiltration capacity land surface scheme

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