Data-Tool Excel Add-ins

CDF/PDF, Matrix, Correlation Graph
Reshape Data, Daily to Monthly etc.
Trend Test and MLR.

Deviation of Gain

The Deviation of Gain (DG) provides valuable insight into the performance of a model in comparison to observed data. Here's a description:

Deviation of Gain (DG) serves as a performance metric for hydrological models, particularly when assessing their accuracy in replicating observed discharge patterns. Unlike R2, which can encounter challenges when calculating averages over multiple years, DG offers a robust alternative, especially for long-term assessments.

DG measures the deviation between model-generated discharge values and observed daily mean discharge values. This comparison accounts for the inherent variability in discharge throughout the year, making it particularly suitable for capturing seasonal fluctuations and long-term trends.

DG values range from 0 to 1, with 0 indicating perfect agreement between model predictions and observed data. A DG value of 1 suggests that the model's performance is equivalent to simply using the mean discharge as a prediction, indicating poor model performance (WMO, 1986).

In summary, DG provides a reliable assessment of model performance across various temporal scales, offering valuable insights into the model's ability to reproduce observed discharge patterns accurately.

Deviation of Gain

where O is the observation value and P is the forecast value and Obar is the average measured daily discharge.

How To Cite

Please provide the data in a two-column format (observed vs. simulated). You can copy from Excel, text, or any other format, separated by space.

Deviation of Gain:

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