CSPP MiRS Version 2.4 Released

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CSPP MiRS Version 2.4 Released

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CSPP Software Release: Microwave Integrated Retrieval System (MiRS) for ATMS, AMSU-A, and MHS Version 2.4

The University of Wisconsin-Madison SSEC is pleased to announce a new release of the NOAA/NESDIS/STAR Microwave integrated Retrieval System (MiRS) for retrieval of atmospheric profiles, cloud and surface properties from NOAA-20 and S-NPP ATMS, and NOAA-18,-19, Metop-A,-B,-C AMSU-A and MHS microwave sensor data. This package is in support of Direct Broadcast users, and is sponsored by the Community Satellite Processing Package (CSPP) project funded by the NOAA/NASA Joint Polar Satellite System (JPSS). MiRS is led by Quanhua (Mark) Liu and Chris Grassotti at the NOAA NESDIS Center for Satellite Applications and Research (STAR). This release provides MiRS version 11.6 adapted and tested for operation in a real-time direct broadcast environment.

The CSPP_MIRS v2.4 software package contains binary executable files and supporting static data files, as well as input and output files for verification of a successful installation.

What is new in CSPP MiRS Version 2.4?
  • Code base updated to Version 11.6,
    Metop-C platform now supported,
    NOAA-20 MiRS products are now at full validated maturity level,
    NOAA-21 (JPSS-2) ATMS ready,
    Target operating system is Linux CentOS-7.
Supported satellites, sensors, and data include:
  • NOAA-20 and Suomi-NPP ATMS Sensor Data Records (SDR) (from CSPP)
    NOAA-18 and -19 AMSU-A and MHS Level 1B (from AAPP)
    Metop-A, Metop-B and Metop-C AMSU-A and MHS Level 1B (from AAPP)
Two NetCDF4 files are created by the CSPP MiRS software:
The MiRS Sounding Productions are written into the "NPR-MIRS-SND" prefixed file, while surface and precipitation products are written to the “NPR-MIRS-IMG” prefixed file.

Official Validated Products created by MiRS include:
Note: All retrieval products from NOAA-20 are now at full validated maturity level.
  • Temperature profile over open water ocean
    Humidity profile over open water ocean
    Humidity profile over non-coastal Land
    Total Precipitable Water (TPW) over open water ocean
    Total Precipitable Water over non-coastal land
    Land surface temperature
    Surface Emissivity over land and snow
    Snow Water Equivalent (SWE)
    Sea Ice Concentration (SIC)
    Snow Cover Extent (SCE), based on the SWE
    Vertically-Integrated Non-precipitating Cloud Liquid Water (CLW) over open water ocean
    Vertically-Integrated Ice Water Path (IWP)
    Vertically-Integrated Rain Water Path (RWP)
    Rainfall Rate (RR) over open water ocean and non-coastal, non-snow-covered land surface types
    Effective grain size of snow (over snow-covered land surface)*
    Multi-Year (MY) Type Sea Ice Concentration*
    First-Year (FY) Type Sea Ice Concentration*
    Snow Fall Rate and Probability of Falling Snow (SFR and Prob_SF)***
*Note that FY and MY Sea Ice Concentration, as well as Snow Grain Size are not officially operational, but preliminary products, which is a higher maturity level than experimental status.
***Note that snowfall rate is not produced for Metop-A and NOAA-18.

Experimental Products Created by MiRS
The following products are also produced experimentally for NOAA-18, NOAA-19, Metop-A, Metop-B, Metop-C, Suomi-NPP, and NOAA-20. Note that they lack a thorough validation due to the absence of reliable ground truth measurements. These are made available to users for the purpose of evaluating their usefulness.
  • Cloud Liquid Water Profile (CLWP) over ocean
    Surface Temperature (skin) extended to snow-covered land surface type
    Surface Temperature (skin) extended to open ocean water
System requirements for the CSPP_MIRS v2.4:
  • Intel or AMD CPU with 64-bit instruction support,
    lftp utility to fetch ancillary data (unless running in quarantine mode or with --noSFR),
    8 GB RAM,
    CentOS-7 64-bit Linux (or other compatible 64-bit Linux distribution),
    2 GB of disk space (plus space for your own DB data and CSPP_MIRS products).
James Davies leads CSPP MiRS development at the Space Science and Engineering Center located at the University of Wisconsin-Madison.

For more information please see: http://cimss.ssec.wisc.edu/cspp/mirs_v2.4.shtml
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