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Chris Barnet NOAA/NESDIS/STAR (the office formally known as ORA) AIRS Science Team Member

The Challenges in using Atmospheric Trace Gas Products from Thermal Sounders. Chris Barnet NOAA/NESDIS/STAR (the office formally known as ORA) AIRS Science Team Member NPOESS Sounder Operational Algorithm Team Member GOES-R Algorithm Working Group – Chair of Sounder Team May 11, 2006

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Chris Barnet NOAA/NESDIS/STAR (the office formally known as ORA) AIRS Science Team Member

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  1. The Challenges in using Atmospheric Trace Gas Products from Thermal Sounders Chris Barnet NOAA/NESDIS/STAR (the office formally known as ORA) AIRS Science Team Member NPOESS Sounder Operational Algorithm Team Member GOES-R Algorithm Working Group – Chair of Sounder Team May 11, 2006 Carbon Fusion, Edinburgh Mitch Goldberg: AIRS & IASI Science Team, Climate Products Walter Wolf: Near Real Time Processing & Distribution to Users Lihang Zhou: Regression Retrieval & Near Real Time Web Page Eric Maddy: CO2 retrieval, “tuning”, vertical averaging functions. Xiaozhen Xiong: CH4 retrieval Xingpin Liu: Re-processing, Statistics, Product web-page

  2. Topics • Introduction to our plans to use operational sounders to retrieve carbon products. • Example of CO Product • Example of CH4 Product & Validation Efforts • Example of CO2 Product & Validation Efforts • Inter-comparison of AIRS trace gas products.

  3. Acronyms • Infrared Instruments • AIRS = Atmospheric Infrared Sounder • IASI = Infrared Atmospheric Sounding Interferometer • CrIS = Cross-track Infrared Sounder • HES = Hyperspectral Environmental Suite • Microwave Instruments • AMSU = Advanced Microwave Sounding Unit • HSB = Humidity Sounder Brazil • MHS = Microwave Humidity Sensor • ATMS = Advanced Technology Microwave Sounder • AMSR = Advanced Microwave Scanning Radiometer • Imaging Instruments • MODIS = MODerate resolution Imaging Spectroradiometer • AVHRR = Advanced Very High Resolution Radiometer • VIIRS = Visible/IR Imaging Radiometer Suite • ABI = Advanced Baseline Imager • Other • CALIPSO = Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations • EUMETSAT = EUropean organization for exploitation of METeorological SATellites • GOES = Geostationary Environmental Operational Satellite • METOP = METeorological Observing Platform • NESDIS = National Environmental Satellite, Data, and Information Service • NPOESS = National Polar-orbiting Operational Environmental Satellite System • NDE = NPOESS Data Exploitation • NPP = NPOESS Preparatory Project • OCO = Orbiting Carbon Observatory • STAR = office of SaTellite Applications and Research

  4. NOAA/NESDIS 20 year StrategyUsing Existing Operational Sounders. • Now: Develop and core & test trace gas algorithms using the Aqua (May 4, 2002) AIRS/AMSU/MODIS Instruments • Compare products to in-situ (e.g., ESRL/GMD Aircraft, JAL, INTEX, etc.) to characterize error characteristics. • The A-train complement of instruments (e.g., MODIS, AMSR, CALIPSO) can be used to study effects of clouds, surface emissivity, etc. • 2006: Migrate the AIRS/AMSU/MODIS algorithm into operations with METOP (2006,2011,2016) IASI/AVHRR. Study the differences between instruments, e.g., effects of scene and clouds on IASI’s instrument line-shape. • 2009: Migrate the AIRS/IASI algorithm into operations for NPP (2009?) & NPOESS (2012?,2015?) CrIS/ATMS/VIIRS. These are NOAA Unique Products within the NOAA NDE program. • 201?: Migrate AIRS/IASI/CrIS algorithm into GOES-R HES/ABI

  5. AIRS Was Launched on the EOS Aqua Platform May 4, 2002 MODIS AMSU-A1(3-15) AMSU-A2(1-2) AIRS HSB Delta II 7920 Aqua Acquires 325 Gb of data per day

  6. AIRS has a Unique Opportunity to Explore & Test New Algorithms for Future Operational Sounder Missions. Apr. 28, 2006 12/18/2004 5/4/2002 7/15/2004 ≥ 9/2008

  7. In 2007 we will have IASI & AIRS making global measurements, 4/day • Initial Joint Polar System: An agreement between NOAA & EUMETSAT to exchange data and products. • NASA/Aqua in 1:30 pm orbit • EUMETSAT/IASI in 9:30 am orbit (July 2006) • NPOESS/CrIS in 1:30 pm orbit (2009?)

  8. Spectral Coverage of Thermal Sounders (Example Radiances: AIRS, IASI, & CrIS) AIRS, 2378 Channels IASI, 8401 Channels CrIS 1305 CO2 O3 CH4 CO CO2

  9. Thermal sounder forward modelExample: upwelling radiance term Absorption coefficients, , for a any spectrally active molecular species, i, (e.g., water, ozone, CO2, etc.) must be computed. Each channel samples a finite spectral region  is a strong function of pressure, temperature, and interaction with other species. Full radiative transfer equation includes surface, down-welling, and solar reflection terms. Inversion of this equation is highly non-linear and under-determined. Vertical temperature gradient is critical for thermal sounding.

  10. Retrieval is a minimization of cost function, optimized for the instrument Covariance of observed minus computed radiances: includes instrument noise model and spectral spectroscopic sensitivity to components of X that are held constant (Physics a-priori information). Covariance of product (e.g., CO, CH4, CO2) can be used to optimize minimization of this underdetermined problem. Currently we are using minimum variance approach (C = I) due to lack of knowledge of correlations. Derivative of the forward model is required to minimize J.

  11. Utilization of thermal product requires knowledge of vertical averaging • Thermal instruments measure mid-tropospheric column • Peak of vertical weighting is a function of T profile and water profile and ozone profile. • Age of air is on the order of weeks or months. • Significant horizontal and vertical displacements of the trace gases from the sources and sinks. • Solar/Passive instruments (e.g., SCIA, OCO) & laser approaches measure a total column average. • Mixture of surface and near-surface atmospheric contribution • Age of air varies vertically.

  12. Sounding Strategy in Cloudy Scenes:Co-located Thermal & Microwave (& Imager) • Sounding is performed on 50 km a field of regard (FOR). • FOR is currently defined by the size of the microwave sounder footprint. • IASI/AMSU has 4 IR FOV’s per FOR • AIRS/AMSU & CrIS/ATMS have 9 IR FOV’s per FOR. • ATMS is spatially over-sampled can emulate an AMSU FOV. AIRS, IASI, and CrIS all acquire 324,000 FOR’s per day

  13. Thermal Sounder “Core” Products(on 45 km footprint, unless indicated)

  14. Trace Gas Product Potential from Operational Thermal Sounders Product Available Now In Work Held Fixed Haskins, R.D. and L.D. Kaplan 1993

  15. Retrieval of Atmospheric Trace GasesRequires Unprecedented Instrument Specifications • Need Large Spectral Coverage (multiple bands) & High Sampling (currently, we use 1680 AIRS and 14 AMSU channels in our algorithm) • Increases the number of unique pieces of information • Ability to remove cloud and aerosol effects. • Allow simultaneous retrievals of T(p), q(p), O3(p). • Need High Spectral Resolution &Spectral Purity • Ability to isolate spectral features → vertical resolution • Ability to minimize sensitivity to interference signals.. • Need Excellent Instrument Noise & Instrument Stability • Low NEΔT is required. • Minimal systematic effects (scan angle polarization, day/night orbital effects, etc.)

  16. Radiances versus Products

  17. Example of Carbon Monoxide Products from AIRS in collaboration with W. Wallace McMillin & Michele McCourt University of Maryland, Baltimore County W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 UMBC

  18. The CO (& O3) Product Improves Utility of the CH4 and CO2 Products • CO can be used to help us distinguish combustion sources (fossil or biomass) from other sources/sinks in our methane and carbon dioxide products. • CO can be used to estimate horizontal and vertical transport during combustion events. • CO (and Ozone) may help us improve atmospheric vertical transport models in the mid-troposphere. • Inter-comparison w/ aircraft (e.g., ESRL/GMD, INTEX-A, INTEX-B), and MOPITT products is in-work. • McMillan et al. 2005. GRL v.32 doi:10.1029/2004GL0218 • McCourt, PhD dissertation, UMBC, 2006

  19. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 July 2004 Fires in Alaska 500 mb 700 mb 850 mb

  20. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb

  21. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb

  22. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb

  23. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb

  24. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb

  25. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb

  26. AIRS CO and Trajectories UMBC W. McMillan (mcmillan@umbc.edu) AIRS Science Team Meeting, Cal Tech, 3/8/06 500 mb 700 mb 850 mb CO from southern Alaska Fires was transported to Europe at high altitudes (5 km) CO from northern Alaskan fires was transported to the lower atmosphere in SE of US

  27. Example of Methane Products from AIRS

  28. AIRS CH4 Kernel Functions are Sensitive to H2O(p) & T(p) Polar Mid-Latitude Tropical Isothermal vertical structure weakens sensitivity. moisture optical depth pushes peak sensitivity upwards.

  29. Also providing the vertical information content to understand CH4 product CH4 total column f/ transport model (Sander Houweling, SRON) AIRS mid-trop measurement column Peak Pressure of AIRS Sensitivity Fraction Determined from AIRS Radiances

  30. Comparison of CH4 product & ESRL/GMD Continuous Ground Site Barrow Alaska 3deg. x 3deg. gridded retrieval averaged over 60-70 lat, & -165 to -90 lng

  31. Comparisons of AIRS product to ESRL/GMD Aircraft Observations ESRL/GMD aircraft profiles are the best validation for thermal sounders since they measure a thick atmospheric layer.

  32. ESRL/GMD Flask Data from Poker Flats, Alaska: Seasonal cycle is a function of altitude 7.5 km 385 mb 5.5 km 500 mb 1.5 km 850 mb Surface Flasks (Barrow)

  33. We need to determine how much of our CH4 signal is from stratospheric air Dobson-Brewer circulation UT/LS region in high latitudes has “older” air. We will explore tracer correlations to unravel surface vs stratospheric sources. (working w/ L. Pan, NCAR) Can depress high latitude, high altitude methane signals in winter/spring time-frame.

  34. Example of Carbon Dioxide Products from AIRS

  35. LW Thermal CO2 Kernel Functions are also Sensitive to H2O, T(p), & O3(p). Polar TPW = 0.5 cm Mid-Latitude TPW = 1.4 cm Tropical TPW = 2.5 cm moisture optical depth pushes peak sensitivity upwards Isothermal vertical structure weakens sensitivity

  36. Also providing the vertical information content & comparing CO2 product with models CO2 Transport Model Randy Kawa (GSFC) AIRS mid-trop measurement column Fraction Determined from AIRS Radiances Averaging Function Peak Pressure

  37. Preliminary Comparisons to ESRL/GMD aircraft • Comparison of AIRS & ESRL/GMD observations.. • Usually  5 hour time difference • Limit retrievals within 200 km of aircraft. • Spot vs. regional sampling • Retrieval is average of “good” retrievals • 3 – 50 ret’s are used in each dot. •  = ± 3.1 ppmv, correlation = 0.83 • Investigation of outliers is in-work.

  38. Comparisons to JAL aircraft observations & ESRL/GMD MBL model ESRL/GMD Marine Boundary Layer Model (surface measurement) AIRS CO2 retrieval from GRIDDED dataset – mid-trop thick layer measurement Matsueda et al. 2002 aircraft – single level measurement JAL Aircraft data provided by H. Matsueda

  39. Same as before, but in-situ CO2 adjusted by a-priori in retrieval In-situ data is adjusted by the % of a-priori in our regularized retrieval. This depresses the seasonal amplitude of the in-situ data and is a gauge of our retrieval performance. Differences should exist between single level (surface or altitude) observations and AIRS thick layer observations. JAL Aircraft data provided by H. Matsueda

  40. Again, to what extent does stratospheric age of air play a role? Surface measurements (dashed line) and model of 500 mb concentration (solid line) can differ by 5 ppm (NOTE: Vert. Scale is 350-385 ppm) Brewer-Dobson effect has altitude, latitude, and seasonal variation with a maximum in northern winter/spring. 2004 2000 2002 Model runs of Brewer-Dobson circulation effect are courtesy of Run-Lie Shia, Mao-Chang Liang, Charles E. Miller, and Yuk L. Yung, California Inst. Of Technology & NASA Jet Propulsion Lab.

  41. NOAA AIRS CO2 Product is Still in Development • Measuring a product to 0.5% is inherently difficult • Empirical bias correction (a.k.a. tuning) for AIRS is at the 1 K level and can affect the CO2 product. • Errors in moisture of ±10% is equivalent to ±0.7 ppmv errors in CO2. • Errors in surface pressure of ±5 mb induce ±1.8 ppmv errors in CO2. • AMSU side-lobe errors minimize the impact of the 57 GHZ O2 band as a T(p) reference point. • Bottom Line: Core product retrieval problems must be solved first. • Currently, we can characterize seasonal and latitudinal mid-tropospheric variability to test product reasonableness. • The real questions is whether thermal sounders can contribute to the source/sink questions. • Requires accurate vertical & horizontal transport models • Having simultaneous O3, CO, CH4, and CO2 products is a unique contribution that thermal sounders can make to improve the understanding of transport.

  42. … And many groups are working on AIRS CO2 algorithms

  43. AIRS measures multiple gases (and temperature, moisture and cloud products) simultaneously CH4 • 29 month time-series of AIRS trace gas products: Alaska & Canada Zone (60  lat  70 & -165  lon  -90) • July 2004 Alaskan fires are evident in CO signal (and CH4 ??) • Seasonal methane is correlated to surface temperature (wetlands emission?) • We have begun to investigate correlations that should exist between species (e.g., O3, CO, CH4 interaction) CO CO2 O3 CH4 & Tsurf Aug.2003 Mar.2006

  44. 29 month time-series of AIRS productsEastern China Zone (20  lat  45, 110  lon  130) Correlation of CH4 with skin temperature is significantly smaller

  45. 29 month time-series of AIRS productsSouth America Zone (-25  lat  EQ , -70  lon  -40) Biomass burning Correlation of CH4 with skin temperature is non-existent

  46. For more information:http://www.orbit.nesdis.noaa.gov/smcd/spb/airs/index.html • Trace GAS web-pages allow a quick look at the trace gas products as a function of geography, time, and comparisons with in-situ datasets. USERID & PASSWORD Request via e-mail: chris.barnet@noaa.gov

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