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Welcome to the Data Assimilation Research Testbed

The Data Assimilation Research Testbed (DART) is an open-source, freely available community facility for ensemble data assimilation (DA). [1] DART is developed and maintained by the Data Assimilation Research Section (DAReS) at the National Center for Atmospheric Research (NCAR).

spaghetti_square assim_anim

Ensemble Data Assimilation

Ensemble DA is a technique for combining observations with numerical models to estimate the state of a physical system.

It enables modelers, observational scientists, and geophysicists to:

  • Generate initial conditions for forecasts.
  • Create a retrospective estimate of the state of a system, a practice known as producing a reanalysis.
  • Assess the relative value of specific observations on forecast skill, a practice known as conducting an observing system experiment (OSE).
  • Estimate the value of hypothetical observations in order to inform the design of an observing system, a practice known as conducting an observing system simulation experiment (OSSE).
  • Determine a model's systematic bias in estimating the state of a system, a practice known as diagnosing model error.

The DART software environment makes it easy to explore a variety of data assimilation methods and observations with different numerical models. It provides powerful, flexible DA tools that are easy to use and customize to support efficient and reliable DA applications. While DART is primarily oriented for DA research, it has also been used in operational settings.

DART includes:

  • A comprehensive tutorial introducing the concepts of ensemble DA.
  • Extensive documentation of its source code.
  • Interfaces to a variety of models and observation sets that can be used to introduce new users or graduate students to ensemble DA.

DART is also designed to facilitate the combination of assimilation algorithms, models, and real or synthetic observations to allow increased understanding of all three. It provides a framework for developing, testing, and distributing advances in ensemble DA to a broad community of users by removing the implementation-specific peculiarities of one-off DA systems.

These tools are intended for use by the full range of geosciencies community: beginners and experts; students and teachers; national centers and university research labs.

Organization of the documentation

Because of DART's extensive scope, this documentation is detailed and carefully organized, enabling you to easily find the information you need. If you have any questions or suggestions for improvements, please contact DAReS staff by emailing [email protected].

The documentation is partitioned into three parts:

  • a user guide that explains how to install DART and perform data assimilation
  • source code documentation that provides a detailed description of the programs and modules in the repository
  • a comprehensive description of data assimilation theory

Manhattan Release

The current version of DART is the Manhattan release. Email [email protected] for advice if you are interested in a model which has not been converted from the previous Lanai release.

Quick-start

DART is available through GitHub. To download the latest version of DART, use:

git clone https://github.com/NCAR/DART.git

Go into the build_templates directory and copy over the closest mkmf.template._compiler.system_ file into mkmf.template.

Edit it to set the NETCDF directory location if not in /usr/local or comment it out and set $NETCDF in your environment. This NetCDF library must have been compiled with the same compiler that you use to compile DART and must include the F90 interfaces.

Go into models/lorenz_63/work and run quickbuild.sh nompi.

$ cd models/lorenz_63/work
$ ./quickbuild.sh nompi

If it compiles, run this series of commands to do a very basic test:

$ ./perfect_model_obs
$ ./filter

If that runs and you have Matlab installed on your system add DART/diagnostics/matlab to your matlab search path and run the plot_total_err diagnostic script while in the models/lorenz_63/work directory. If the output plots and looks reasonable (error level stays around 2 and doesn’t grow unbounded) you have successfully installed DART and completed your first assimilation with it.

If you are planning to run one of the larger models and want to use the Lorenz 63 model as a test, run ./quickbuild.sh. It will build filter and any other MPI-capable executables with MPI.

Important

The mpif90 command you use must have been built with the same version of the compiler as you are using.

If any of these steps fail or you don’t know how to do them, go to the DART project web page listed above for very detailed instructions that should get you over any bumps in the process.

Quick-start for developers

To create a fork of DART for your own development you will need a GitHub account.

  1. fork the NCAR/DART repo on GitHub
  2. clone your (new) fork to your machine - this will set up a remote named ‘origin’.
git clone https://github.com/USERNAME/DART.git

where USERNAME is your GitHub username.

  1. create a remote to point back to the NCAR/DART repo. Convention dictates that this remote should be called ‘upstream’
git remote add upstream https://github.com/NCAR/DART.git

Use ‘upstream’ to keep your fork up to date with NCAR/DART. GitHub has documentation on working with forks.

  1. Download one of the tar files (listed below) of ‘large’ files so you can test your DART installation.
  2. If you want to contribute your work back to the DART community, create a feature branch with your work, then issue a pull request to propose changes to NCAR/DART.

There are several large files that are needed to run some of the tests and examples but are not included in order to keep the repository as small as possible. If you are interested in running bgrid_solo, cam-fv, or testing the NCEP/prep_bufr observation converter, you will need these files. These files are available at:

Release Size Filename
“Manhattan” 189M Manhattan_large_files.tar.gz
“wrf-chem.r13172” 141M wrf-chem.r13172_large_files.tar.gz
“Lanai” 158M Lanai_large_files.tar.gz
“Kodiak” 158M Kodiak_large_files.tar.gz
“Jamaica” 32M Jamaica_large_files.tar.gz
“Hawaii” 32M Hawaii_large_files.tar.gz

Download the appropriate tar file and untar it into your DART repository. Ignore any warnings about tar: Ignoring unknown extended header keyword.

Citing DART

Cite DART using the following text:

The Data Assimilation Research Testbed (Version X.Y.Z) [Software]. (2019). Boulder, Colorado: UCAR/NCAR/CISL/DAReS. http://doi.org/10.5065/D6WQ0202

Update the DART version and year as appropriate.

References

[1]Anderson, J. L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn and A. Arellano, 2009 The Data Assimilation Research Testbed: A Community Facility. Bulletin of the American Meteorological Society, 90, 1283-1296, doi:10.1175/2009BAMS2618.1
.. toctree::
   :maxdepth: 2
   :caption: Getting started

   guide/system-requirements
   guide/fortran-compiler
   guide/locating-netcdf-library
   guide/downloading-dart
   guide/compiling-dart
   guide/verifying-installation

.. toctree::
   :maxdepth: 2
   :caption: What is data assimilation?

   guide/introduction-ensemble-da
   guide/lorenz-63-model
   guide/da-in-dart-with-lorenz-63

.. toctree::
   :maxdepth: 2
   :caption: What is DART?

   guide/what-is-dart
   guide/benefits-of-using-dart
   guide/brief-history-of-dart
   guide/high-level-da-workflows
   guide/dart-design-philosophy
   guide/important-capabilities-dart

.. toctree::
   :maxdepth: 2
   :caption: Run DART with your model

   guide/advice-for-new-collaborators
   guide/instructions-for-porting-a-new-model-to-dart
   DART build system <guide/quickbuild.rst>
   guide/assimilation-complex-model
   guide/mpi_intro
   guide/filters
   guide/inflation
   guide/required-model-mod-routines
   guide/suggestions-for-a-simple-model
   guide/suggestions-for-a-complex-model
   guide/how-to-test-your-model-mod-routines
   guide/controlling-files-output
   guide/vertical-conversion
   guide/data-management-issues
   assimilation_code/programs/readme

.. toctree::
   :maxdepth: 2
   :caption: Observations

   guide/adding-your-observations-to-dart
   guide/preprocess-program
   guide/introduction-obs-seq-file
   guide/detailed-structure-obs-seq
   guide/creating-obs-seq-synthetic
   guide/creating-obs-seq-real
   guide/available-observation-converters
   guide/manipulating-with-obs-sequence-tool
   guide/difference-between-type-and-quantity
   guide/adding-support-new-type
   Radiances <guide/Radiance_support>

.. toctree::
   :maxdepth: 2
   :caption: Observation Converters

   observations/obs_converters/README


.. toctree::
   :hidden:

   observations/obs_converters/AIRS/README
   observations/obs_converters/AIRS/convert_airs_L2
   observations/obs_converters/AIRS/convert_amsu_L1
   observations/obs_converters/AVISO/AVISO
   observations/obs_converters/Ameriflux/level4_to_obs
   observations/obs_converters/CHAMP/work/README
   observations/obs_converters/cice/cice_to_obs
   observations/obs_converters/CONAGUA/README
   observations/obs_converters/COSMOS/COSMOS_to_obs
   observations/obs_converters/COSMOS/COSMOS_development
   observations/obs_converters/DWL/dwl_to_obs
   observations/obs_converters/GMI/README
   observations/obs_converters/GOES/README
   observations/obs_converters/GPSPW/README
   observations/obs_converters/GSI2DART/readme
   observations/obs_converters/GTSPP/GTSPP
   observations/obs_converters/MADIS/MADIS
   observations/obs_converters/MIDAS/MIDAS_to_obs
   observations/obs_converters/MODIS/readme
   observations/obs_converters/MODIS/MOD15A2_to_obs
   observations/obs_converters/MPD/README
   observations/obs_converters/NASA_Earthdata/README
   observations/obs_converters/NCEP/prep_bufr/prep_bufr
   observations/obs_converters/NCEP/ascii_to_obs/create_real_obs
   observations/obs_converters/NSIDC/SMAP_L2_to_obs
   observations/obs_converters/ROMS/ROMS
   observations/obs_converters/SIF/SIF_to_obs_netcdf
   observations/obs_converters/SSEC/SSEC
   observations/obs_converters/SST/SST
   observations/obs_converters/SSUSI/convert_f16_edr_dsk
   observations/obs_converters/WOD/WOD
   observations/obs_converters/gnd_gps_vtec/README
   observations/obs_converters/gps/gps
   observations/obs_converters/ok_mesonet/ok_mesonet
   observations/obs_converters/ocean_color/README
   observations/obs_converters/quikscat/QuikSCAT
   observations/obs_converters/even_sphere/README
   observations/obs_converters/obs_error/README
   observations/obs_converters/radar/README
   observations/obs_converters/snow/snow_to_obs
   observations/obs_converters/text/text_to_obs
   observations/obs_converters/tpw/tpw
   observations/obs_converters/tropical_cyclone/tc_to_obs
   observations/obs_converters/var/littler_tf_dart
   observations/obs_converters/var/rad_3dvar_to_dart
   observations/obs_converters/var/var


.. toctree::
   :maxdepth: 2
   :caption: Diagnostics

   guide/checking-your-assimilation
   guide/computing-filter-increments
   guide/how-does-output-differ-from-input-increments
   guide/dart-missing-data-value
   guide/dart-quality-control
   guide/examining-obs-seq-final
   guide/matlab-observation-space

.. toctree::
   :maxdepth: 2
   :caption: Theory

   theory/readme
   theory/conditional-probability-bayes-theorem
   guide/DART_LAB/DART_LAB
   CLM-DART Tutorial <models/clm/tutorial/README>
   WRF-DART Tutorial <models/wrf/tutorial/README>

.. toctree::
   :maxdepth: 2
   :caption: Models

   models/README

.. toctree::
   :maxdepth: 2
   :caption: Models
   :hidden:

   models/9var/readme
   models/am2/readme
   models/bgrid_solo/readme
   models/cam-fv/readme
   models/cam-fv/cam_dart_obs_preprocessor
   models/CESM/readme
   models/cice/readme
   models/clm/readme
   models/clm/clm_to_dart
   models/clm/dart_to_clm
   models/cm1/readme
   models/coamps_nest/readme
   models/coamps/readme
   models/ECHAM/readme
   models/FESOM/readme
   models/gitm/readme
   models/gitm/netcdf_to_gitm_blocks
   models/gitm/gitm_blocks_to_netcdf
   models/ikeda/readme
   models/LMDZ/readme
   models/lorenz_04/readme
   models/lorenz_63/readme
   models/lorenz_84/readme
   models/lorenz_96/readme
   models/lorenz_96_2scale/readme
   models/lorenz_96_tracer_advection/readme
   models/forced_lorenz_96/readme
   models/MITgcm_ocean/readme
   models/MOM6/readme
   models/mpas_atm/readme
   models/mpas_atm/mpas_dart_obs_preprocess
   models/mpas_ocn/readme
   models/mpas_ocn/model_to_dart
   models/NCOMMAS/readme
   models/noah/readme
   models/null_model/readme
   models/PBL_1d/readme
   models/pe2lyr/readme
   models/POP/readme
   models/POP/dart_pop_mod
   models/ROMS/readme
   models/rose/readme
   models/simple_advection/readme
   models/sqg/readme
   models/tiegcm/readme
   models/wrf_hydro/readme
   models/wrf/readme
   models/wrf/WRF_DART_utilities/replace_wrf_fields
   models/wrf/WRF_DART_utilities/wrf_dart_obs_preprocess
   models/template/readme
   models/utilities/default_model_mod


.. toctree::
   :maxdepth: 2
   :caption: Contributing and Community

   guide/contributors-guide
   guide/requesting-features-reporting-bugs
   guide/mailing-list

.. toctree::
   :maxdepth: 2
   :caption: Guide

   guide/Manhattan_diffs_from_Lanai
   guide/forward_operator
   guide/netcdf_inflation_files
   guide/state_structure
   guide/filter_async_modes
   guide/distributed_state


.. toctree::
   :maxdepth: 2
   :caption: Assimilation code
   :hidden:

   assimilation_code/location/channel/location_mod
   assimilation_code/location/location_mod
   assimilation_code/location/oned/location_mod
   assimilation_code/location/threed_cartesian/location_mod
   assimilation_code/location/threed_sphere/location_mod
   assimilation_code/programs/obs_seq_verify/obs_seq_verify
   assimilation_code/programs/wakeup_filter/wakeup_filter
   assimilation_code/programs/compare_states/compare_states
   assimilation_code/programs/gen_sampling_err_table/gen_sampling_err_table
   assimilation_code/programs/perturb_single_instance/perturb_single_instance
   assimilation_code/programs/system_simulation/system_simulation
   assimilation_code/programs/compute_error/compute_error
   assimilation_code/programs/preprocess/preprocess
   assimilation_code/programs/obs_impact_tool/obs_impact_tool
   assimilation_code/programs/create_fixed_network_seq/create_fixed_network_seq
   assimilation_code/programs/obs_loop/obs_loop
   assimilation_code/programs/perfect_model_obs/perfect_model_obs
   assimilation_code/programs/obs_selection/obs_selection
   assimilation_code/programs/obs_sequence_tool/obs_sequence_tool
   assimilation_code/programs/integrate_model/integrate_model
   assimilation_code/programs/obs_diag/oned/obs_diag
   assimilation_code/programs/obs_diag/threed_cartesian/obs_diag
   assimilation_code/programs/obs_diag/threed_sphere/obs_diag
   assimilation_code/programs/fill_inflation_restart/fill_inflation_restart
   assimilation_code/programs/obs_seq_coverage/obs_seq_coverage
   assimilation_code/programs/advance_time/advance_time
   assimilation_code/programs/model_mod_check/model_mod_check
   assimilation_code/programs/closest_member_tool/closest_member_tool
   assimilation_code/programs/filter/filter
   assimilation_code/programs/obs_keep_a_few/obs_keep_a_few
   assimilation_code/programs/create_obs_sequence/create_obs_sequence
   assimilation_code/programs/obs_seq_to_netcdf/obs_seq_to_netcdf
   assimilation_code/programs/obs_common_subset/obs_common_subset
   assimilation_code/modules/utilities/ensemble_manager_mod
   assimilation_code/modules/utilities/random_seq_mod
   assimilation_code/modules/utilities/mpi_utilities_mod
   assimilation_code/modules/utilities/time_manager_mod
   assimilation_code/modules/utilities/utilities_mod
   assimilation_code/modules/utilities/types_mod
   assimilation_code/modules/utilities/schedule_mod
   assimilation_code/modules/observations/obs_kind_mod
   assimilation_code/modules/observations/DEFAULT_obs_kind_mod
   assimilation_code/modules/observations/obs_sequence_mod
   assimilation_code/modules/assimilation/assim_readme
   assimilation_code/modules/assimilation/assim_tools_mod
   assimilation_code/modules/assimilation/cov_cutoff_mod
   assimilation_code/modules/assimilation/obs_model_mod
   assimilation_code/modules/assimilation/reg_factor_mod
   assimilation_code/modules/assimilation/adaptive_inflate_mod
   assimilation_code/modules/assimilation/quality_control_mod
   assimilation_code/modules/assimilation/filter_mod

.. toctree::
   :maxdepth: 2
   :caption: Developer tests
   :hidden:

   developer_tests/location/location_mod
   developer_tests/forward_operators/readme
   developer_tests/utilities/PrecisionCheck

.. toctree::
   :maxdepth: 2
   :caption: Forward Operators
   :hidden:

   observations/forward_operators/obs_def_gps_mod
   observations/forward_operators/obs_def_dew_point_mod
   observations/forward_operators/obs_def_ocean_mod
   observations/forward_operators/obs_def_1d_state_mod
   observations/forward_operators/obs_def_radar_mod
   observations/forward_operators/DEFAULT_obs_def_mod
   observations/forward_operators/obs_def_mod
   observations/forward_operators/obs_def_rttov_mod

.. toctree::
   :maxdepth: 2
   :caption: Misc

   models/CESM/doc/setup_guidelines


.. toctree::
   :caption: non-compiling models
   :hidden:

   models/MITgcm_ocean/create_ocean_obs
   models/NCOMMAS/dart_to_ncommas
   models/NCOMMAS/ncommas_to_dart


.. toctree::
   :maxdepth: 2
   :caption: Root

   copyright
   Changelog <CHANGELOG>

.. toctree::
   :hidden:

   guide/404