Geoscience Reference
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to short-range forecast error measures ( Baker and Langland 2009 ; Cardinali 2009 ).
An intercomparison study on OBSI assessment at various NWP centers is provided
by Gelaro et al. ( 2010 ).
9.2.2
Suboptimal Observation Performance: A Scalar Example
A simple scalar example of statistical estimation is used to illustrate the suboptimal
observation performance for misspecified information error statistics. Consider a
prior estimate
x b D x t C b and a measurement
y D x t C o to the true value
x t
and let assume that the errors
b and
o are unbiased
E. b / D 0;E. o / D 0
,and
E. b / D b;t
E. o / D o;t
uncorrelated
E. b o / D 0
. The error variances
and
are
b
o
assumed to be unknown and are specified in the analysis equation as
and
,
respectively. A suboptimal analysis estimate to
x t is obtained as
o
b C o x b C
b
1 C x b C
1
1 C y
x a D
b C o y D
(9.12)
D o = b
where
denotes the ratio
. The observation performance on improving
the prior estimate
x b is investigated in terms of the specification
versus the optimal
t D o;t = b;t
ratio
. The analysis variance is
2
2
1 C
1
1 C
a D
b;t C
o;t
(9.13)
and the ratio
2
2
a
b;t
1 C
1
1 C
D
C
t
(9.14)
provides a measure of the statistical quality of the analysis as compared with the
prior estimate
x b . The minimum value of the ratio ( 9.14 ) as a function of
is
achieved at
D t and corresponds to the optimal analysis
x a;t ,
a;t
b;t
t
1 C t <1
D
(9.15)
In the practical situation when the specification of the information error statistics
is such that
ยค t , the observation performance is suboptimal and, in certain
situations, the assimilation of data
y
may provide an estimate
x a of lower quality as
a = b;t D
compared to
x b . Contours
const of the ratio ( 9.14 ) as a function of the
two variables
.; t /
are shown in Fig. 9.1 . A threshold value to the
specification
a = b;t D 1
is obtained when
,
a
b;t
D 1 , t D 2 C 1
(9.16)
 
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