henk eskes, omi meeting 20-22 june 2006 omi nitrogen dioxide: the knmi near-real time product henk...
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Henk Eskes, OMI meeting 20-22 June 2006
OMI Nitrogen Dioxide: OMI Nitrogen Dioxide: The KNMI Near-Real Time ProductThe KNMI Near-Real Time Product
Henk Eskes, Pepijn Veefkind, Folkert Boersma, Ronald van der A,Ellen Brinksma (KNMI)
Eric Bucsela, Ed Celarier, Jim Gleason, Mark Wenig (NASA)
Henk Eskes, OMI meeting 20-22 June 2006
NO2 retrieval
Combinedretrieval-modelling-assimilation-approach
• Detailed error estimates• Averaging kernels
Henk Eskes, OMI meeting 20-22 June 2006
OMI near-real time processing
DOMINO project:Dutch funding: NIVR, GO-2 programFolkert Boersma, Jan 2005 - Nov 2005
DOMINO-2 project:July 2006 - June 2007Ruud Dirksen
Henk Eskes, OMI meeting 20-22 June 2006
• To provide users with near-real time air pollution monitoring
• Users include:- environmental agencies- air quality forecasters- GEMS (EU GMES) lead by ECMWF
NRT comparison OMI with regional AQ modelsover Europe
- PROMOTE (ESA GMES)- …
Purpose (1)
Henk Eskes, OMI meeting 20-22 June 2006
To generate a long-term consistent dataset from:- GOME (1996 - 2003)- SCIAMACHY (2003 - )- OMI (2004 - )- GOME-2 (2006 - )
KNMI retrieval algorithm for tropospheric NO2• Data publicly available via www.temis.nl • Described in Boersma et al. (JGR, D04311,2004)
Purpose (2)
Henk Eskes, OMI meeting 20-22 June 2006
Ingredient 1: Daily chemical forecast with OMI NO2 assimilation
Henk Eskes, OMI meeting 20-22 June 2006
Ingredient 2: Near-real time OMI tropospheric NO2 retrieval
NASA/KNMI DOAS algorithm
Henk Eskes, OMI meeting 20-22 June 2006
1. Find window with smallest variation in initial columns
2. Compute mean column vs. across track viewing angle
3. FFT analysis to smooth
Stripe correction
Henk Eskes, OMI meeting 20-22 June 2006
http://www.temis.nl/airpollution/no2.html
Images available within ~2hrs - data acquisition- downlink- processing - KNMI/NASA DOAS algorithm
~2 hrs
- NRT processing time:< 2 minutes
Near-real time processing
Henk Eskes, OMI meeting 20-22 June 2006
Near-real time processing started 7 October 2005 has been quite reliable / robust (2 major events: upgrade ECMWF and TM input file error)
Off-line archive: Sep 2004 - Aug 2005 including Dandelions period
Near-real time archive: October 2005 - present
Near-real time processor: first results
Henk Eskes, OMI meeting 20-22 June 2006
KNMI OMI near-real time NO2, 13-16 Oct 2005
SundaySaturday
Henk Eskes, OMI meeting 20-22 June 2006
Chimere model @ OMI overpass time, 13-16 Oct 2005
Henk Eskes, OMI meeting 20-22 June 2006
SCIAMACHY, October 2004
Henk Eskes, OMI meeting 20-22 June 2006
OMI, October 2004
Henk Eskes, OMI meeting 20-22 June 2006
SCIAMACHY - OMI, October 2004
Henk Eskes, OMI meeting 20-22 June 2006
SCIAMACHY - OMI, October 2004
Henk Eskes, OMI meeting 20-22 June 2006
Algorithm• Clouds (impact of O2-O2, eg use also Raman), Albedo, Stripes, ..
Comparisons• SCIAMACHY• Regional models like Chimère• Operational vs NRT
Validation• Campaigns like Dandelions, INTEX• MaxDOAS, SAOZ, ..• Surface obs
Promote use of OMI NO2 products
PlansPlans
Henk Eskes, OMI meeting 20-22 June 2006
GOME/SCIA experience• retrieval improvements should focus on cloud/aerosol
treatment, surface albedo, stratospheric background, profile shape
OMI• Based on KNMI/NASA operational slant column retrieval
and KNMI retrieval/modelling/assimilation approach for AMF• Near-real time processing ingredients:
1. daily TM4/5 forecast/assimilation runs2. retrieval on orbit by orbit basis
• Operational since 7 October 2005
ConclusionsConclusions
Henk Eskes, OMI meeting 20-22 June 2006
NO2 retrieval: error contributions
Typical 30-50% error for individual pixelsBoersma et al. JGR 2004
Henk Eskes, OMI meeting 20-22 June 2006
Eleven years of NO2 data
KNMI - IASB:GOME, 1996 - 2003SCIAMACHY, 2003 - 2006
KNMI - NASA:OMI, 2004 - present
Images and detailed data products, including averaging kernels and error estimates,available on the TEMIS and PROMOTE web sites
www.temis.nlwww.gse-promote.org
Henk Eskes, OMI meeting 20-22 June 2006
Trend over China
GOME, 1997 SCIA, 2004
Henk Eskes, OMI meeting 20-22 June 2006
GOME NO2 intercomparison
IPCC study:Comparison NO2 retrievals GOME• Univ. Bremen (A. Richter)• Harvard, Dalhousie (R. Martin)• IASB / KNMI
Henk Eskes, OMI meeting 20-22 June 2006
GOME NO2 intercomparison
The three algorithms follow the same approach:1. DOAS slant column fit2. Estimate stratospheric part of the slant column3. Calculate tropospheric AMF based on model-
generated profile shapes
But have very different building blocks
Henk Eskes, OMI meeting 20-22 June 2006
GOME NO2 intercomparison
IUP Bremen Dalhousie KNMI/BIRA
Ns425 – 455 nm 425-450 nm 426.3 – 451.3 nm
Ns,stRef. sector scaled to SLIMCAT strat.
Ref. Sector Data-assimilation in TM4
Cloud fraction (albedo)
FRESCO 0.2 cloud fraction; only cloud selection, no further correction
GOMECAT (Kuruso) FRESCO (0.8)
Cloud pressure Not used GOMECAT FRESCO
Albedo GOME (Koelemeijer) GOME(Koelemeijer) TOMS/GOME (1x1)
Profile shape MOZART-2 run for 1997, monthly averages on 2.8 x 2.8 °
GEOS-CHEM TM4 (3x2)
Temperature correction
No ? Yes, ECMWF T-profiles
Henk Eskes, OMI meeting 20-22 June 2006
SCIAMACHY vs. Chimère: yearly mean 2003
Nadège Blond