WG2 OVERVIEW

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• WG2 OVERVIEW
• An assimilated Ozone and
• Humidity Dataset
• W.A. Lahoz
• DARC, Reading, UK
• http//darc.nerc.ac.uk
• Thanks to Alan Geer Dominique Fonteyn

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Topics

• Aims
• Participants
• Workplan
• Deliverables
• Timetable
• Research themes
• Future work

COST Action plan
COST workshop WG2 presentations
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Aims

• Algorithms to assimilate UTLS datasets into
  troposphere/stratosphere GCMs CTMs
• Build on theory
• Retrieval/forward model algorithms
• -gt radiance assimilation
• Synergy (limb/nadir, different tools,
  chemistry/dynamics,)
• Apply to NWP, chemical forecasting systems
• QC-datasets of UTLS O3 H2O for use by
  scientific community
• cal-val (e.g. Envisat,)
• Use algorithms QC-datasets -gt (co-operation) -gt
• Assess state of UTLS understand processes,
  using data (analyses, )
• Information -gt comprehensive analysis of
  anthropogenic impact on UTLS region

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Ozone monitoring statistics at 10hPa in DARC
assimilation
Cal-val MIPAS
O-B Residuals
Number of accepted observations
Background
Observations
Analysis
Statistics are a global mean at 10hPa
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Gaussian errors
MIPAS ozone O-B 22 29 Sep 2002 global mean
Gaussian curve
bias
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Synergy

• Nadir/limb synergy (see Struthers et al. JGR
  2002)
• Assimilation of MLS ozone (limb) GOME total
  ozone (nadir)
• Ozone analyses using both geometries are
  objectively better (more consistent with a
  BLUE) than those using just one or other of the
  geometries
• -gt apply to Envisat

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Global map of ozone column amount 21 April 1997
12 GMT MLS ozone profile GOME column
ozone (Dobson units red high, blue low)
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Synergy of Envisat data
MIPAS (limb), SCIAMACHY (limb), GOMOS
(occultation)
h?
Envisat
Limb geometry Height resolved information
Atmosphere
Ozone distribution in space time (more species)
Partition information between troposphere and
stratosphere
Nadir geometry Constraint on total information
Atmosphere
h?
SCIAMACHY (nadir)
Envisat
 
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The SH polar vortex split of Sep 2002
Filling in gaps in knowledge
MIPAS ozone
DARC analyses
Courtesy Alan Geer
Blue low ozone Red high ozone 10 hPa
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O3 evolution 31.5hPa22 Sep -gt 25 Sep 2002ACRI
GOMOS analysesRed (high), blue (low)
Synergy different tools
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COST WG2
Synergy different tools
N2O from ODIN/SMR Assimilated into MSDOL 55 hPa
Sep 2002 SH Laaziz EL Amraoui Philippe
Ricaud Obs. Bordeaux
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Synergy different tools unobserved species
24 Sep 2002 12UTC Ozone photochemistry BIRA-IASB
MIPAS analyses red (high), blue (low)
Ozone 475K
ClOx ClO2Cl2O2 475K
unobserved
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Algorithms
Courtesy KNMI
GOME
Better agreement with profile assimilation
Assimilated and measured ozone profiles over
Lerwick
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QC-dataset
GOME Total ozone assimilated 7-yr
dataset GOA www.knmi.nl/goa Henk Eskes Arjo
Segers KNMI
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Co-operation

• ASSET partners (NWP systems, sophisticated
  photochemical models, retrievals, data
  dissemination) -gt links with theory instrument
  teams
• Lab studies / atmospheric photochemistry (J.
  Heyrovský, IPC, Ac. Sciences Czech Rep., Prague
  Obs. Aquitain des Sciences de lUnivers, Lab.
  dAstrodynamique, dAstronomie et dAéronomie,
  Bordeaux)
• More
• COST action a basis for co-operation meetings,
  workshops, visits, summer schools,

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Future

• Studies of Sep SH 2002 other periods (e.g. for
  cal-val of Envisat data)
• Assimilation of MIPAS ODIN (ongoing), GOMOS
  (started), SCIAMACHY,
• H2O QC-datasets
• Radiance assimilation
• Studies with data from future missions
• (Eos Aura,)
• -gt Co-operation between all actors instrument
  teams, theory, NWP, modellers, DA, EO
• Encourage groups to use Short-Term
  Scientific Mission (STSM) funds for visits
• -gt Basis to consolidate group members
  workplan

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Material for WG2 discussion on Friday
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Group members

• DARC, University of Reading, UK (W. Lahoz)
• KNMI, The Netherlands (P. Siegmund, H. Kelder)
• U. Köln, Germany (H. Elbern)
• Bordeaux Observatory, France (J. Urban, P.
  Ricaud)
• CNR, Rome, Italy (F. Fierli)
• Academy of Sciences, Czech Republic (Z. Zelinger)
• Others (ASSET partners associates,)

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Workplan

• Algorithms to assimilate research satellite data
  in UTLS (retrievals/forward models radiance
  assimilation)
• Assimilation of L2 data (T, O3, H2O,) into GCMs
  CTMs
• Evaluation of models observations
  (assimilation,)
• Evaluation of key parameters in UTLS
• Synergy limb/nadir geometries,
  chemistry/dynamics,
• QC-datasets (metadata) in UTLS (T, O3, H2O)
• Deliverables (algorithms, QC-datasets, reports,)

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Deliverables

• Algorithms to assimilate data into GCMs CTMs
• Report/evaluation on UTLS assimilated datasets
• Report on UTLS (i) dynamics, (ii) chemistry,
  (iii) climate
• Report on synergies nadir/limb,
• QC-datasets (metadata) in UTLS (T, O3, H2O)
• Report on assimilation of limb radiances into
  GCMs CTMs

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Timetable

• Summary progress reports for WG2 (Months 12, 24,
  36, 48)
• Report of algorithms (Month 48)
• Quality controlled datasets (Month 48)
• Preliminary studies on radiances (Month 48)