Data-Tool Excel Add-ins

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

Deviation of runoff Volume

The deviation of runoff volumes (Dv), also referred to as the percentage bias, serves as a fundamental measure of goodness-of-fit for hydrological models. This metric, defined by the World Meteorological Organization (WMO) in 1986, offers a straightforward yet effective means of assessing the model's performance.

Dv quantifies the disparity between modeled and observed runoff volumes, providing insights into the model's accuracy in reproducing real-world hydrological processes. Ideally, a perfect model would yield a Dv value of zero, indicating precise agreement between modeled and observed runoff volumes.

A smaller Dv value corresponds to superior model performance, as it signifies closer alignment between model predictions and actual observations. This metric, as highlighted by Gupta et al. in 1999, offers a clear and intuitive assessment of model accuracy.

One of the key advantages of Dv is its simplicity and universality. Unlike some other goodness-of-fit criteria, Dv does not require separate formulations for different time scales or averaging periods. This streamlined approach facilitates straightforward comparisons and evaluations, making Dv a versatile tool for assessing model performance across various hydrological contexts.

In summary, the deviation of runoff volumes (Dv) provides a concise and reliable measure of model accuracy, offering hydrologists a valuable tool for evaluating and comparing different modeling approaches.

Deviation of runoff Volume

where O is the observation value and S is the forecast value.

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 runoff Volume: %

Help Video:

Video Thumbnail