Summary statistics are used to quantify model performance compared to observations. Statistics include Nash-Sutcliffe Efficiency (NSE), Observed Standard Deviation Ratio (RSR), Coefficient of Determination (R2), and Percent Bias (PBIAS).
Data for the Calpella gage (USGS 11461500 EF RUSSIAN R NR CALPELLA CA) includes a record of average daily flow for the period of record (10/1/1941 - Present). This data can be found in the "data" directory of the "EF_Russian_River" project (…\EF_Russian_River\data\RussianRiverObserved.dss). Use the Calibration App (Figure 1) to calculate summary statistics for the Deficit & Constant and Soil Moisture Accounting simulations (10/1/1950 – 9/30/2010).
Summary statistics for simulations “60yr DC” simulation are presented in table below. Results will vary.
Simulation
NSE
RSR
R2
PBIAS
60yr DC
0.849
0.388
0.882
-8.489
Summary statistics for simulations “60yr SMA” simulation are presented in table below. Results will vary.
Simulation
NSE
RSR
R2
PBIAS
60yr SMA
0.850
0.387
0.890
-1.46
Summary statistic performance ratings based on Moriasi et al (2007) are presented in the table below.
Performance Rating
NSE
RSR
R2
PBIAS
Very Good
0.65<𝑁𝑆𝐸≤1.00
0.00<𝑅𝑆𝑅≤0.60
0.65<𝑅2≤1.00
𝑃𝐵𝐼𝐴𝑆< ±15
Good
0.55<𝑁𝑆𝐸≤0.65
0.60<𝑅𝑆𝑅≤0.70
0.55<𝑅2≤0.65
±15≤𝑃𝐵𝐼𝐴𝑆<±20
Satisfactory
0.40<𝑁𝑆𝐸≤0.55
0.70<𝑅𝑆𝑅≤0.80
0.40<𝑅2≤0.55
±20≤𝑃𝐵𝐼𝐴𝑆<±30
Unsatisfactory
𝑁𝑆𝐸≤0.40
𝑅𝑆𝑅>0.80
𝑅2≤0.40
𝑃𝐵𝐼𝐴𝑆≥±30
The Soil Moisture Accounting basin model performs slightly better on summary statistics although both basin models fall within the “Very Good” range for all summary statistics.
