Intercomparison of HIRDLS and MLS Ozone Profiles Using OMI - PowerPoint PPT Presentation

1 / 22
About This Presentation
Title:

Intercomparison of HIRDLS and MLS Ozone Profiles Using OMI

Description:

... 3 3 ff3fff ff f3f33f3ff3 f3f3 ffff3fffff ffff f f 3f ff f f ff3fff ff f f 3f ... 3 f 3 f 3f 3333f3 33 ff3fff ff 3 f 3f 3 f 3 f 3 ... – PowerPoint PPT presentation

Number of Views:18
Avg rating:3.0/5.0
Slides: 23
Provided by: xliu6
Category:

less

Transcript and Presenter's Notes

Title: Intercomparison of HIRDLS and MLS Ozone Profiles Using OMI


1
Intercomparison of HIRDLS and MLS Ozone Profiles
Using OMI
  • Xiong Liu1,2,3, Pawan K. Bhartia3, Kelly Chance2,
    Thomas P. Kurosu2, Robert J.D. Spurr4, Jerry
    Ziemke1,3
  • xliu_at_umbc.edu
  • 1Goddard Earth Sciences and Technology Center,
    UMBC
  • 2Harvard-Smithsonian Center for Astrophysics
  • 3NASA Goddard Space Flight Center
  • 4RT Solutions Inc.
  • HIRDLS Science Team Meeting 2008
  • January 30, 2008

2
Outline
  • Introduction
  • Comparison of OMI ozone profiles with MLS and
    OMI-MLS Data Assimilation
  • OMI tropospheric ozone
  • Summary
  • Proposed work to use HIRDLS Data

3
Introduction
  • HIRDLS and MLS
  • Vertical resolution 1 km and 3 km
  • Typically 1500 km apart
  • Difficult to do direct comparison except in the
    zonal mean sense or doing some spatial
    interpolation.
  • OMI
  • Much coarser vertical resolution
  • Complete global coverage, overlap both HIRDLS and
    MLS
  • OMI ozone profiles can be used to compare both
    HIRDLS and MLS data.

4
Introduction to OMI Ozone Profile Retrievals
  • OMI ozone profiles 6-10 km vertical resolution
    Liu et al., 2005
  • Retrieve O3 profiles at 24 2.5-km thick layers
    from surface to 60 km
  • 270-330 nm OMI radiances, Optimal estimation
    technique
  • Apply x-track and ?-dependent correction to OMI
    derived from 0-20S lat and single day of MLS/OMI
    match-up.

Mid- Latitudes
Tropics
5
Random-Noise and Smoothing Errors
  • Precision lt2 above 22 km, increase to 10
    below
  • SmoothingPrecision within 3 between 22-40 km,
    increase to 10 above 40 km, and to 15-30 below
    20 km.

Tropics
Mid- Latitudes
6
Comparison of OMI Ozone Profiles with MLS
2006m0711
7
Comparison of OMI Ozone Profiles with MLS
8
Comparison of MLS/OMI 0-215 hPa O3 Columns
15 days of Comparison Negative Bias
0.8-2.5 Std. Dev. (Global) 2.3-3.1 Std.
Dev. (Tropics) 1.9-2.5
9
Comparison with Data Assimilation
  • How about other x-track positions?
  • OMI/MLS Assimilation Stajner et al., 2007
  • Mean bias 0 5 DU
  • Std. Dev. 3.2 4.3 DU (1.5 1.8)

10
Identification of Stratospheric Waves
11
Comparison of Surface to Tropopause-2.5 km Mean
O3 Mixing Ratio with Data Assimilation
  • Comparison (fc lt 20)
  • Global -4.8 4.7 DU, R 0.78
  • Tropics -7.0 3.0 DU, R 0.83
  • Similar distribution mid-latitude high ozone
    related to synoptic activities low ozone due to
    transport of tropical air tropical wave one
    pattern
  • Large biases in the tropics and around dynamic
    structures and southern mid-latitudes

12
Comparison of Ozone Mixing Ratio at 500 hPa
Without applying OMI averaging kernels
13
Column-Averaged O3 Mixing Ratio (Jul 15 Sep 7,
06)
14
Summary
  • The 0-200 hPa O3 column and ozone profiles
    directly derived from OMI compares well with MLS
    matchups and assimilated OMI MLS data.
  • Stratospheric and tropospheric O3 column can be
    accurately derived from OMI data alone.

15
Proposed Work to Use HIRDLS Data
  • Cross-evaluate OMI and HIRDLS stratospheric
    ozone profiles and ozone column
  • Use HIRDLS to evaluate the performance of OMI
    retrievals in regions of stratospheric influence
    and evaluate whether we can use HIRDLS to improve
    tropospheric ozone retrievals.
  • Use OMI to inter-compare HIRDLS and MLS and
    evaluate their random and systematic differences.
  • Combine HIRDLS (high vertical resolution) and
    OMI (global coverage) to study science questions
    (e.g., stratospheric waves, stratospheric
    intrusion)

16
  • Acknowledgements
  • OMI, MLS, and HIRDLS Science Team
  • Support from NASA
  • I. Stajner, K. Wargon, S. Pawson for providing
    OMI-MLS Assimilation data

Thank You
17
Validation of OMI UV Radiances
  • Simulate OMI radiances using ZM MLS profile,
    trop O3 climat, normalized to ZM total O3 from
    OMTO3, using VLIDORT
  • Compare simulations with measured OMI radiances
    (Collection 3)

18
Validation of OMI UV Radiances
UV2
  • Smaller x-track dependent biases (2-3)
  • Large wavelength dependence at shorter
    wavelengths
  • UV1/UV2 jump 4-10 depending on x-track position

19
Ozone Profile Retrieval Algorithm and Validation
  • Retrieval algorithm spectral fitting by optimal
    estimation
  • Retrieve O3 profiles at 24 2.5-km thick layers
    from surface to 60 km
  • Use 270-310 nm (UV1) and 310-330 nm (UV2) OMI
    radiances
  • Apply x-track and l-dependent correction to OMI
    derived from 0-20S lat and single day (7/11/06)
    of MLS/OMI match-up.
  • Comparison between total column (from OMTO3)
    with profile total column.

Mean Difference 0.8-1.8 DU (0.5) RMSD
3.6-4.7 DU (1.4)
20
OMI Trop O3 Column with and w/o Correction
UV1, No Correction
UV1UV2 with MLS-derived Radiance Correction
Radiance correction is critical for tropospheric
ozone retrievals.
21
Retrieval Errors in Ozone Column
22
Comparison of OMI Ozone Profiles with MLS
2006m0501
Write a Comment
User Comments (0)
About PowerShow.com