Diagonal observation error covariance¶
The diagonal observation error covariance \(R\) implementation in OOPS can be used both for any of the toy models, and for the models that use UFO.
Observation error standard deviations for \(R\) are read as an ObsError
group from the observation file.
The covariance can be configured using the following options:
random amplitude
(optional, default value is 1.0) – a multiplier used when generating a random sample from the observation error covariances (standard error deviations are multiplied by this number)zero-mean perturbations
: logical variable with a default offalse
. Set totrue
to constrain observation perturbations to have a zero ensemble mean (can be used in the Ensemble of Data Assimilations (EDA)). If this option is set totrue
, the following options also have to be set:member
: ensemble member index (1-based);number of members
: number of ensemble members.
Important
For the zero-mean perturbations option to work, the following requirements must be satisfied:
The
obs perturbations seed
option in theobs space
section must be set to the same value for all ensemble members.All ensemble members must use the same observations in the same order.
A diagonal \(R\) can be configured as:
obs error:
covariance model: diagonal
For an EDA experiment with 10 ensemble members, and perturbing observations ensuring zero-mean perturbations, a diagonal \(R\) for the 2nd ensemble member can be set up as:
obs error:
covariance model: diagonal
zero-mean perturbations: true
member: 2
number of members: 10