APPLICATION OF THE TOPKAPI MODEL WITHIN THE DMIP 2 PROJECT

Page 26

EVALUATION INDEXES

N

ER =

NY avg

Q p , i − Q ps ,i × 100

i =1

NQ

∑T

p ,i

− T ps , i

i =1

Absolute Peak Time Error N

N

RMSE =

Percent Absolute Peak Error [%]

p , avg

N

ET =

Percent Absolute Event Runoff Error [%]

× 100

i =1

N

EP =

Bi

∑ (S

− Oi )

2

i

Root Mean Square Error

i =1

N

89TH AMS Annual Meeting, Phoenix, January 2009


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