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Fig. 2 Climate characteristics of
the 14 major Arctic basins. The top
panel shows average annual
temperature; the bottom one shows
annual average precipitation, for
the periods 1961-1990 and
1991-2009. Data from CRU
(Harris et al. 2013 )andWillmott&
Matsuura ( http://climate.geog.
udel.edu/*climate ) . Precipitation
values are averages of original data
and data with orographic and un-
dercatch corrections (Adam and
Lettenmaier 2003 ;Adametal.
2006 )
X
n
MAE ¼ 1
W
w i e jj
i ¼ 1
where e i = P i - O i is the difference between the model-projected value P i and the
observed value O i for all cells i = 1, 2, … , n within the basin. The term w i denotes the
area-relative weight of each cell and W the sum of these weights. Similarly, the MBE
describes the area-weighted sum of the deviations of model projections from observations,
but retains the signs of the differences:
W X
n
MBE ¼ 1
w i e i
i ¼ 1
In comparing models across several drainage basins or for several parameters, a
dimensionless index of model performance can complement the MAE and MBE, which are
both defined in the units of the studied model parameter. We therefore also calculate such a
dimensionless measure: the refined index of model performance d r , with values on a
unitless scale from -1 to 1 (worst to best). The d r index is comprehensively defined in
Willmott et al. ( 2012 ), and in their words, ''[i]t indicates the sum of the magnitudes of the
differences between the model-predicted and observed deviations about the observed mean
relative to the sum of the magnitudes of the perfect model (P i = O i , for all i) and observed
deviations about the observed mean.''
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