Available observation converter programs
DART/observations/obs_converters directory contains a variety of
converter programs to read various external formats and convert the observations
into the format required by DART.
Each directory has at least one converter:
AIRS: AIRS and AMSU
Aviso+/CMEMS: Aviso+/CMEMS Observations
Ameriflux: PROGRAM level4_to_obs
cice: PROGRAM cice_to_obs
COSMOS: PROGRAM COSMOS_to_obs
DWL: PROGRAM dwl_to_obs
GTSPP: GTSPP Observations
MADIS: MADIS Data Ingest System
MIDAS: PROGRAM MIDAS_to_obs
MODIS: PROGRAM MOD15A2_to_obs
NCEP: (prepbufr -> ascii) PROGRAM prepbufr
NCEP: (ascii -> obs_seq) PROGRAM create_real_obs
SSEC: SSEC Data Center
WOD: WOD Observations
gnd_gps_vtec: GND GPS VTEC
GPS: GPS Observations
ok_mesonet: Oklahoma Mesonet MDF Data
QuikSCAT: QuikSCAT SeaWinds Data
Radar: Radar observations
snow: PROGRAM snow_to_obs
Text: PROGRAM text_to_obs
Tropical Cyclones: PROGRAM tc_to_obs
Var (little-r): PROGRAM littler_tf_dart
Var (radar): PROGRAM rad_3dvar_to_dart
There are also a couple utilities of note:
Even Sphere - a utility for generating evenly-spaced observation locations that can then be used in a perfect model experiment.
Obs Error - modules that specify observation errors based on what is used by ECMWF and NCEP
In addition the following external program produces DART observation sequence files:
Observation Processing And Wind Synthesis (OPAWS): OPAWS can process NCAR Dorade (sweep) and NCAR EOL Foray (netCDF) radar data. It analyzes (grids) data in either two-dimensions (on the conical surface of each sweep) or three-dimensions (Cartesian). Analyses are output in netCDF, Vis5d, and/or DART (Data Assimilation Research Testbed) formats.
For generating synthetic observations, see the documentation for the program create_obs_sequence. You can also generate observation files based on text input. See the documentation for the PROGRAM text_to_obs. Or for simulating a large complex observing system, you can use the DART library routines in a Fortran program to compute the observation information and have the DART routines write the output file.
To learn how to run a model with a set of observations that have only locations, types, and times, and have the forward operators compute the observation values, see the documentation for the program perfect_model_obs.