The Nash-Sutcliffe metric is helpful for identifying how well the model performs. A Nash-Sutcliffe of 1 means the model is able to perfectly match observations. Generally, a value greater than 0.7 means the model performance is good. Your goal is to have a Nash-Sutcliffe metric close to 1.