Geography Reference
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Spatial proximity
Similarity
Model averaging
Param. regression
Regional calib.
1.0
0.8
0.6
0.4
0.2
0.0
0.4
0.6 0.8 1.0 2.0
E
PA
/
P
A
(-)
0.4 0.6 0.8 1.0 2.0
0.4 0.6 0.8 1.0 2.0
0.4 0.6 0.8 1.0 2.0
0.4 0.6 0.8 1.0 2.0
E
PA
/
P
A
(-)
E
PA
/
P
A
(-)
E
PA
/
P
A
(-)
E
PA
/
P
A
(-)
1.0
0.8
0.6
0.4
0.2
0.0
36
81012
3
6
8
10 12
3
6
8
10 12
3
6
8
10 12
3
6
8
10 12
T
A
(
C)
T
A
(
C)
T
A
(
C)
T
A
(
C)
T
A
(
C)
1.0
0.8
0.6
0.4
0.2
0.0
3
6
9
12 15
3
6
9
12 15
3
6
9
12 15
3
6
9
12 15
3
6
9
12 15
Elevation (10
2
m a.s.I.)
Elevation (10
2
m a.s.I.)
Elevation (10
2
m a.s.I.)
Elevation (10
2
m a.s.I.)
Elevation (10
2
m a.s.I.)
1.0
0.8
0.6
0.4
0.2
0.0
0.05 0.1 0.5
1
5
0.05 0.1 0.5
1
5
0.05 0.1 0.5
1
5
0.05 0.1 0.5
1
5
0.05 0.1 0.5
1
5
Area (10
3
km
2
)
Area (10
3
km
2
)
Area (10
3
km
2
)
Area (10
3
km
2
)
Area (10
3
km
2
)
Figure 10.38. Nash
Sutcliffe efficiency (NSE) of predicting hydrographs in ungauged basins as a function of aridity (E
PA
/P
A
), mean annual
air temperature (T
A
), mean elevation and catchment area for different parameter regionalisation methods. Lines connect median efficiencies
for the same study. Boxes are 40%
-
-
60% quantiles, whiskers are 20%
-
80% quantiles. Modified after Parajka et al.(
2013
).
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