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JEDI-SKYLAB 6.0

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@gibbsp gibbsp released this 06 Oct 20:39
· 4 commits to develop since this release

JCSDA SkyLab 6.0 is the sixth roll-up release that provides integrated Earth System Data Assimilation capability. All JEDI code is open source, distributed under the Apache 2 licensing agreement and publicly available at https://github.com/JCSDA. Capabilities are demonstrated via the SkyLab testbed experiments conducted internally at JCSDA for the following components: atmosphere, land/snow, ocean, sea-ice, aerosols, and atmospheric composition. SkyLab testbed output plots are openly available through the SkyLab Data Viewer at https://skylab.jcsda.org/.

The main SkyLab upgrades for release 6.0 include:

Atmosphere-land experiment:

  • CRTM v3.0 bug fixes and minor updates compared to the skylab-v5 release.
    • Updated the coefficients for IR Water emissivity (consistent with v2.4.1)
    • Bugfixes resolving NaNs and underflows
  • Addition of GMI, AMSR/2, SnowDepth (GHCN), and active all-sky assimilation for GOES water vapor channels.

Marine experiment:

  • Quality control filters for in-situ temperature and salinity observations are added (checking: regional value range, profile spikes and gradients, and profile density inversions), these filters should be suitable for ingesting realtime in-situ observations that did not have existing quality control flags.

Trace gas experiment:

  • 3D-FGAT assimilation for CO and NO2 with FV3 stretch cubed sphere grid, providing down to 7 km resolution over CONUS. Observations include the new TEMPO proxy NO2 tropospheric columns

Software infrastructure:

Environment to build: all libraries on SPACK-STACK 1.5.0

Tested for the following system requirements:

  • Amazon Web Services (AWS) Single Node AMI (RedHat 8; gnu)
  • Amazon Web Services (AWS) Parallel Cluster (Ubuntu 20.04; intel)
  • NASA Discover (gnu & intel)
  • NOAA Mississippi State University Orion (gnu & intel)
  • NOAA University of Wisconsin S4 (intel)
  • NCAR Cheyenne (gnu)
  • Limited support for NOAA ParallelWorks AWS, Azure, Gcloud (intel)

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