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MOPITT CO

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Expedited MOPITT NRT data within a few hours of overpass ... were performed coincident with Terra overpasses, but many along-track profiles ... – PowerPoint PPT presentation

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Title: MOPITT CO


1
MOPITT CO
  • Louisa Emmons, David Edwards
  • Atmospheric Chemistry Division
  • Earth Sun Systems Laboratory
  • National Center for Atmospheric Research

2
MOPITT CO 700 hPa CO Zonal Average Mixing Ratio
  • The Northern Hemisphere winter maximum occurs
    March-April
  • The peak of the Southern Hemisphere biomass
    burning maximum occurs each year in
    September-October with variable intensity
  • Most monthly anomalies can be attributed to
    sporadic wildfires and variations in annual
    biomass burning

3
Near-Real-Time MOPITT CO Retrievals
  • For field campaigns (e.g., INTEX-B) we can
    request expedited data within a few hours of
    overpass for region of interest

4
Rapid Response Data
  • As part of our standard procedure we produce
    retrievals within 1 day based only on MOPITT
    measurements (60S-60N)

April 20, 2006 - 700 hPa
5
Operational Retrievals
  • Make use of MODIS cloud mask product, so are not
    available until that is received (at least 2
    days)

April 20, 2006 - 700 hPa
6
MOPITT CO Retrievals
  • MOPITT CO retrievals are determined by maximum
    likelihood (optimal estimation), incorporating a
    priori information.
  • The retrieved profile x' can be expressed as a
    linear combination of the true profile x and the
    a priori profile xa.
  • x' A x (I-A) xa
  • The Averaging Kernel A represents the measurement
    sensitivity to the true profile. I is the
    identity matrix.
  • Averaging kernels depend on the contrast between
    air and surface temperature and surface
    emissivity.

7
Transformation of in situ Profiles
  • The averaging kernels and a priori CO profile are
    used to calculate x' from in situ CO (x)
  • x' A x (I-A) xa
  • For example, x'(700 hPa)
  • A700 x
    (I-A700) xa

8
MOPITT x x'
9
MOPITT/MOZART in INTEX-B
Investigating the transport and transformation of
gases and aerosols from Asia on trans-Pacific
scales and assess their impact on air quality and
climate
  • Campaign flight planning is aided by the ability
    to forecast the occurrence of pollution plumes
  • For the Spring 2006 NSF/NCAR MIRAGE and NASA
    INTEX-B campaigns, a pollution plume predictive
    capability was provided by the assimilation of
    near-real-time MOPITT CO data into the MOZART CTM

NASA DC-8 from NCAR C-130
10
Forecasting Pollution Plumes
  • For each day of MIRAGE INTEX-B
  • MOZART with assimilation of MOPITT CO and full
    chemistry (2.8x2.8) run for past 3 days
  • CO forecasts initialized with assimilation
  • 3 day forecast CO and tags run at 0.7x0.7 for
    flight planning

11
Plume Origins
MOPITT 700 hPa CO April 06 This was fairly
typical cf. the same month during other MOPITT
years
MOZART Tracer _at_ 500 hPa 36 hr Fx 1000 UTC 24 Apr.
SE Asia bb
  • CO emissions from different regions and sources
    were tagged to identify different contributions
    to the observations
  • Chinese emissions dominated and BB plumes
    contributed less than expected
  • Dynamics played a large role in mixing plumes

China ffbf
12
(No Transcript)
13
Forecast Comparison with Flight Data
EKF assimilation of U,V, T and MOPITT CO in
CAM-Chem
Out of Seattle WA 04/17-05/01
OBS WITH MOPITT ASSIM (R0.72) W/O MOPITT ASSIM
(R0.63)
Out of Honolulu HI 04/17-05/01
14
MOPITT CO Interannual variability
  • 2006 appears to have an average amount of CO over
    the Pacific during April-May

Gabriele Pfister
15
MOPITT Validation - INTEX-B
  • Very few spirals were performed coincident with
    Terra overpasses, but many along-track profiles
    were roughly coincident
  • Within 200 km and 13 hours
  • DC-8 11
  • C-130 16
  • As seen previously, MOPITT shows a positive bias
    compared to in situ observations
  • The MOPITT team continues to investigate the
    cause of the bias (instrument, a priori,
    retrievals, etc.) and hopes to reduce it in the
    next retrieval version

Colored points NOAA/GCD network profiles (P.
Novelli) C130 Teresa Campos, NCAR DC8 Glen
Sachse, NASA Langley
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