Validation for AIRS Larry McMillin Climate Research and - - PowerPoint PPT Presentation

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Validation for AIRS Larry McMillin Climate Research and - - PowerPoint PPT Presentation

Nov 09, 2023 384 likes •652 views

Validation for AIRS Larry McMillin Climate Research and Applications Division National Environmental Satellite, Data, and Information Service Washington, D.C. Larry.McMillin@noaa.gov L.M. McMillin NOAA/NESDIS/ORA Validation Plans A

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L.M. McMillin NOAA/NESDIS/ORA

Validation for AIRS Larry McMillin Climate Research and Applications Division National Environmental Satellite, Data, and Information Service Washington, D.C. Larry.McMillin@noaa.gov

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L.M. McMillin NOAA/NESDIS/ORA

Validation Plans

  • A trial version is set up on a website
  • Orbit-net.nesdis.noaa.gov/crad/ipo
  • Capabilities

– View granules from team exercise - Uses IDL from Ed Olsen – View ACARS reports – View monthly statistics TOVS up through NOAA 14 – View data as a function of time, angle etc. – View the HDF format specification

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L.M. McMillin NOAA/NESDIS/ORA

Data

  • Current

– Radiosondes – Buoys – Aircraft – Hourly surface observations – Other satellites – Forecasts/analysis

  • Planned

– GPS moisture – Ozone – Upper atmospheric temperatures – ARM data

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L.M. McMillin NOAA/NESDIS/ORA

Data - continued

  • Moisture

– Current upper atmospheric measurements should be more accurate than radiosondes even though the same sensor is used due to compression/heating – Current aircraft moisture may be difficult

  • Data are available
  • Uses the Viasalla sensor
  • Ages with time and need calibration
  • Adjusted data available from NCAR, but online data has issues

– Starting to deploy an advanced sensor

  • Better upper atmospheric measurements
  • Uses a small absorption cell
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L.M. McMillin NOAA/NESDIS/ORA

Radiosonde files

  • Radiosonde data
  • Hourly surface temperatures
  • SST if available
  • AIRS data
  • AIRS retrievals

– Bias adjusted – Unadjusted

  • Aircraft reports
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L.M. McMillin NOAA/NESDIS/ORA

Format

  • Truth points to satellite data
  • Use existing formats as much as possible

– Match the RTM for retrievals – Use Mitch’s for satellite radiances

  • Putting Dec. 10 data in the format
  • Exchange with Larrabee
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L.M. McMillin NOAA/NESDIS/ORA

Data exchanges

  • Get initial data and locations from Mitch
  • Get NCEP PREPQC
  • Extract matches
  • Get match locations from Mitch
  • Get team retrieval information from JPL

– Retrieval with bias removed – Retrieval without bias removal

  • Combine all information
  • Send match file to JPL
  • Send match file to UMBC
  • Add data such as ozone and rocketsondes as available
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L.M. McMillin NOAA/NESDIS/ORA

Approach

  • Online display of frequent analysis
  • Considering – download of small match sets
  • Downloads to selected sites

– UMBC – Goddard – JPL

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L.M. McMillin NOAA/NESDIS/ORA

Capabilities

  • Intercompare satellites
  • Error as a function of

– time – time difference defined as (satelite - radiosonde) – collocation distance between the satellite and the radiosonde

  • equator or pole
  • east or west

– solar zenith angle – scan angle – level – radiosonde type – location

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L.M. McMillin NOAA/NESDIS/ORA

Mystery for the Moment

  • Ship radiosondes are in the NESDIS files but not JPL

– The next two slides show the locations of the raobs in the HIRS operational match file

  • One shows ocean locations
  • One shows the land locations
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L.M. McMillin NOAA/NESDIS/ORA

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L.M. McMillin NOAA/NESDIS/ORA

Slide Description

  • The next 2 slides show the match between calculated and observed

radiances

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L.M. McMillin NOAA/NESDIS/ORA

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L.M. McMillin NOAA/NESDIS/ORA

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L.M. McMillin NOAA/NESDIS/ORA

Slide Description

  • The next two slides show the aircraft reports for

– The European carriers – The US carriers

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L.M. McMillin NOAA/NESDIS/ORA

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L.M. McMillin NOAA/NESDIS/ORA

Slide Description

  • The next slide shows accuracy as a function of time
  • NOAA 15
  • Note the typical increase in accuracy in the NH summer
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L.M. McMillin NOAA/NESDIS/ORA

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L.M. McMillin NOAA/NESDIS/ORA

Lessons Learned

  • Samples of validation studies

– Error increases with time over land – Time difference is not large factor over water – There is an East - west gradient due to time of day over land – There is an equator to pole ward bias due to the temperature gradient

  • Note – this is not a true error

– Retrievals are colder at night over land

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L.M. McMillin NOAA/NESDIS/ORA

Plans

  • Run with HIRS
  • Complete the satellite data specification
  • Add capabilities