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Releases: NCAR/DART

RTTOV13 cloud bug-fix

01 Feb 21:23
82f7e91
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RTTOV 13:

  • Initialize RTTOV13 profile cloud arrays to zero for profiles. #542
  • Updated docs with RTTOV13 namelist info.
  • New obs_def_rttov13_mod.f90 namelist option wfetch_value.
  • Updated mkmf.templates for RTTOV on Derecho: HDF5 library flags. #625

Thanks to Joseph Chan (Department of Geography, The Ohio State University) for the original cloud bug, fix and review.

GitHub actions changes:

  • checkout action updated to v4. #630

CLM bug-fixes

17 Jan 21:45
4dadee7
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CLM5-DART SourceMods path variable correction

dart_to_clm:

  • Resolved compiler error by changing the arrays for number of snow layers (snlsno and clm_SNLSNO) to integer types
  • Forcing h2oliq_po to be slightly larger than zero to be consistent with h2oice_po and dzsno_po
  • Adding checks to ensure that the values for h2oliq_po, h2oice_po, dzsno_po, and snowdp_po are never negative

QCEFF

11 Jan 18:31
52e6e45
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Nonlinear and Non-Gaussian Data Assimilation Capabilities in DART

  • Adds a Quantile-Conserving Ensemble Filtering Framework (QCEFF) to DART.
    Publications: QCEFF part1, QCEFF part 2, QCEFF part3

  • The default QCEFF options are EAKF, normal distribution (no bounds).

  • User interface changes:

    • filter_kind is now a per-qty option through QCEFF table, not a namelist option

    • Two new required namelists (add to input.nml files):

      • probit_transform_nml
      • algorithm_info_nml
    • assim_tools_mod namelist:

      • filter_kind removed from namelist
      • sort_obs_inc namelist option applied to ENKF only, so default is now .true.
      • spread_restoration is not supported in this version
    • algorithm_info_mod QCEFF options read at runtime from .csv or .txt file

  • New probability distribution modules:

    • beta_distribution_mod contributed by Chris Riedel

    • bnrh_distribution_mod (bounded normal rank histogram)

    • gamma_distribution_mod

    • normal_distribution_mod

    • probit_transform_mod

    • distribution_params_mod

  • Update to lorenz_96_tracer_advection:

    • positive_tracer
    • more tracer namelist options available and changed defaults
    • updated perturbation routine
    • bug-fix: real(r8) rather than real(i8)
  • Fix: obs_def_1d_state_mod (oned forward operators):

    • For non-integer powers, fix up values for negative bases
  • Documentation:

    • main page section on Nonlinear and Non-Gaussian Data Assimilation Capabilities in DART
    • QCEFF instructions: Quantile-Conserving Ensemble Filter Framework
    • Example to work through: QCEFF: Examples with the Lorenz 96 Tracer Model

Derecho CLM-DART

09 Jan 18:33
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  • CLM-DART scripting updated for Derecho.
  • CLM-DART SourceMods packaged with DART.
  • Reinstituted both 'complete' and 'single_year' datm streamlist files in shell scripts
    due to delays when initializing the CAM reanalysis files through campaign/collections directory.

bug-fixes:

  • Fixed format statement in assert_mod to conform to Fortran standards.
  • Fixed debugging output for failed forward operators.

doc-fixes:

  • Remove broken link for register for dart.

Developer tests and bug fixes

13 Dec 15:52
99ebec5
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  • new developer tests to run all builds for all compilers on NSF NCAR machine
    Derecho.
  • removed redundant nc_check routine from utilities_mod in favor of
    netcdf_utilities_mod::nc_check
  • Improved default thinning options for AIRS L2 converter.

bug-fixes:

  • AIRS L2 converter message prints correct number of obs.
  • MOM6 model_mod .eqv. used for logical comparison to conform to Fortran standard.

Note to developers: if you have your own code that makes use of DART's nc_check
replace use utilities_mod, only :: nc_check with use netcdf_utilities_mod, only :: nc_check

NSF documentation update

01 Dec 18:10
74b4221
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  • Following official Policy on Brand Standards of the U.S. National Science Foundation for DART documentation.
  • Changes instances of “NCAR” to “NSF NCAR” and adds NSF logo to the DART logo in the navigation menu.

Github Actions MPI f08 check

09 Nov 21:37
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Adds a new check to the Github Actions workflow that uses the mpif08 module (compiles with ./quickbuild mpif08 and runs filter on 2 mpi tasks with the lorenz_96 model). #563

MPI f08 quickbuild option

07 Nov 20:00
1244b87
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new features:

  • quickbuild.sh mpif08 option to build using the mpi_f08 module #261 #551 #497
  • nvhpc mkmf.template for use on Derecho #554

bug-fixes:

  • filter_mod.dopperlerfold in sync with filter_mod #565
  • unnecessary loop removed from Mersenne twister developer test

doc-fixes:

  • rename assim_model_mod.rst to match the module #282
  • fix various Sphinx warnings and broken link #546

Quantile methods pre-release: QCEFF Table

02 Nov 19:08
0c3012b
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Pre-release version of the quantile conserving and probit transform tools, including the new functionality of the QCEFF Table

The documentation for this branch is available online

Please contact [email protected] if you would like to develop scientific collaborations using these new capabilities.

Below is a list of the changes to quantile_methods that are included with this release:

  • The QCEFF input table allows for the specification of QCEFF/probit input options, per QTY, at runtime.
  • This replaces the functionality of using an algorithm_info_mod specific to the model, which meant editing algorithm_info_mod.f90 to specify which distribution should be used for which quantity.
  • The algorithm_info_mod files for the lorenz_96_tracer_advection model examples have been replaced with set QCF tables (all_bnrhf_qcf_table.csv, all_eakf_qcf_table.csv, state_eakf_tracer_bnrhf_qcf_table.csv, neg_qcf_table.csv) and can be found in lorenz_96_tracer_advection/work.
  • Removed the ‘global’ version of filter_kind from assim_tools_mod.f90 and the &assim_tools_nml

Hybrid EnKF-OI filter

10 Jul 17:37
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Hybrid EnKF-OI filter Pre-release
Pre-release

A hybrid ensemble and optimal interpolation filter, combining flow-dependent ensemble covariances with time-invariant climatological backgrounds. The combination is done linearly and adaptively both in space and time.

For detail see El Gharamti, et al. (2024): Leveraging a Novel Hybrid Ensemble and Optimal Interpolation Approach for Enhanced Streamflow and Flood Prediction.

Note: This release is supported for WRF-Hydro only and is based on DART version v9.11.7