Validation of a watershed model without calibration

By Richard M. Vogel, A. Sankarasubramanian. 2003

76 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/7147c948d3ce217a2cf539c5c43e2ecfdfe8a0b7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. Yin Tang
2. Dingbao Wang
3. Hoshin V. Gupta

In Environmental Engineering

1. Hoshin V. Gupta
2. Thorsten Wagener
3. Yuqiong Liu
4. Dingbao Wang
5. Jasper A. Vrugt
6. Yin Tang
7. A. Sankarasubramanian
8. Weihua Li

In Water Science and Technology

1. Hoshin V. Gupta
2. Thorsten Wagener
3. Yuqiong Liu
4. Jasper A. Vrugt
5. Dingbao Wang
6. Weihua Li
7. A. Sankarasubramanian
8. Yin Tang

Citations in the corpus

• A one‐parameter Budyko model for water balance captures emergent behavior in darwinian hydrologic models (2014, methodology): “The “abcd” model has been used to test the effectiveness of model calibration [Vogel and Sankarasubramanian, 2003] and diagnose model structure and performance [Martinez and Gupta, 2011].”
• Reconciling theory with observations: elements of a diagnostic approach to model evaluation (2008, background): “Vogel and Sankarasubramanian (2003) evaluate the ability of various models to represent the observed covariance structure of the input and output, thereby avoiding a focus on the goodness of time-series fit between predictions and observations.”
• Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination (2012, background): “Most watershed models typically include conceptual parameters that are usually obtained by calibrating the model-simulated flows against the observed flows [Yapo et al., 1998; Vogel and Sankarasubramanian, 2003].”