TSMP-PDAF with PDAF-OMI

TSMP-PDAF with PDAF-OMI#

PDAF-OMI for multivariate data assimiliaton. It is design to handle different observation types (currently soil moisture and TWS) automatically. Additional to current observation files, the observation type has to be included (SM, GRACE).

See also create observation script for details: https://icg4geo.icg.kfa-juelich.de/ExternalRepos/tsmp-pdaf/tsmp-pdaf-observation-scripts/-/tree/main/omi_obs_data?ref_type=heads

PDAF-OMI can be switched on by the command line option use_omi.

Both global and local filters can be used. To enable multi-scale data assimilation, different localization radii for different observation types can be passed. Note that the localization radius for SM is currently in km and for GRACE in #gridcells.

If questions arise contact ewerdwalbesloh@geod.uni-bonn.de

Observation File Format#

The reader read_obs_nc_type expects the following variables in each observation file:

NetCDF name

Type

Required?

dim_obs

dimension

yes

obs_clm

REAL(dim_obs)

yes

type_clm

CHARACTER(20)(dim_obs)

yes

lon

REAL(dim_obs)

yes

lat

REAL(dim_obs)

yes

layer

INTEGER(dim_obs)

yes

dr

REAL(2)

yes

obserr_clm

REAL(dim_obs)

if multierr=1

obscov_clm

REAL(dim_obs,dim_obs)

if multierr=2

Files follow the naming convention <obs_filename>.<NNNNN> (five-digit zero-padded PDAF step).

The type_clm field must be homogeneous within a file - a file containing GRACE observations cannot simultaneously contain SM or C observations.