Daily global maps of carbon monoxide from NASA's Atmospheric Infrared Sounder

McMillan, W. W.

doi:10.1029/2004gl021821

Cited by 197 publications

(152 citation statements)

References 24 publications

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“…Several previous studies have employed AIRS CO to investigate the horizontal extent of combustion products (e.g., Peffers et al, 2009;Zhang et al, 2008;Stohl et al, 2007). AIRS provides ∼70 percent coverage of the Earth's surface on a daily basis (McMillan et al, 2005). The AIRS CO retrieval algorithm uses a maximum likelihood (or some variant) that incorporates a prior estimate.…”

Section: Verification Methodsmentioning

confidence: 99%

“…The prior estimate dominates retrieval values at the surface. Previous aircraft-based studies have shown non-polar retrieval uncertainty to be 15-20 % at 500 hPa (McMillan et al, 2005). The CO products have not been validated over polar regions, suggesting uncertainties of 10-50 % at 500 hPa (http://disc.sci.gsfc.nasa.gov/AIRS/documentation/v5 docs/ AIRS V5 Release User Docs/V5 CalVal Status Summary.…”

Section: Verification Methodsmentioning

confidence: 99%

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An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

et al. 2011

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One of the most important aspects of simulating wildfire plume transport is the height at which emissions are injected. WRF-Chem contains an integrated one-dimensional plume rise model to determine the appropriate injection layer. The plume rise model accounts for thermal buoyancy associated with fires and local atmospheric stability. This paper describes a case study of a 10 day period during the Spring phase of ARCTAS. It compares results from the plume model against those of two more traditional injection methods: Injecting within the planetary boundary layer, and in a layer 3-5 km above ground level. Fire locations are satellite derived from the GOES Wildfire Automated Biomass Burning Algorithm (WF ABBA) and the MODIS thermal hotspot detection. Two methods for preprocessing these fire data are compared: The prep chem sources method included with WRF-Chem, and the Naval Research Laboratory's Fire Locating and Monitoring of Burning Emissions (FLAMBE). Results from the simulations are compared with satellitederived products from the AIRS, MISR and CALIOP sensors.Correspondence to: H. E. Fuelberg (hfuelberg@fsu.edu) When FLAMBE provides input to the 1-D plume rise model, the resulting injection heights exhibit the best agreement with satellite-observed injection heights. The FLAMBE-derived heights are more realistic than those utilizing prep chem sources. Conversely, when the planetary boundary layer or the 3-5 km a.g.l. layer were filled with emissions, the resulting injection heights exhibit less agreement with observed plume heights. Results indicate that differences in injection heights produce different transport pathways. These differences are especially pronounced in area of strong vertical wind shear and when the integration period is long.

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Section: Verification Methodsmentioning

confidence: 99%

Section: Verification Methodsmentioning

confidence: 99%

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

et al. 2011

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“…Over the last 2 decades, Earth-observing satellites have revolutionized our ability to map CO and to understand its evolving concentration on regional and global scales. At the moment several satellite missions using the thermal infrared (TIR) spectral range to sound the atmosphere are delivering CO data, including MOPITT on EOS/Terra launched at the end of 1999 (Drummond and Mand, 1996;Deeter et al, 2003), AIRS on the EOS/Aqua satellite launched in 2002 (Aumann et al, 2003;McMillan et al, 2005), TES on the EOS/Aura satellite launched in (Beer, 2006Rinsland et al, 2006), and IASI on the EPS/MetOp-A satellite launched in 2006 George et al, 2009). All these missions are maturing and have exceeded their foreseen lifetimes.…”

Section: George Et Al: Long-term Co Records From Mopitt and Iasimentioning

confidence: 99%

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

et al. 2015

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Abstract. Carbon monoxide (CO) is a key atmospheric compound that can be remotely sensed by satellite on the global scale. Fifteen years of continuous observations are now available from the MOPITT/Terra mission (2000 to present). Another 15 and more years of observations will be provided by the IASI/MetOp instrument series (2007-2023 >). In order to study long-term variability and trends, a homogeneous record is required, which is not straightforward as the retrieved quantities are instrument and processing dependent. The present study aims at evaluating the consistency between the CO products derived from the MOPITT and IASI missions, both for total columns and vertical profiles, during a 6-year overlap period (2008)(2009)(2010)(2011)(2012)(2013). The analysis is performed by first comparing the available 2013 versions of the retrieval algorithms (v5T for MOPITT and v20100815 for IASI), and second using a dedicated reprocessing of MO-PITT CO profiles and columns using the same a priori information as the IASI product. MOPITT total columns are generally slightly higher over land (bias ranging from 0 to 13 %) than IASI data. When IASI and MOPITT data are retrieved with the same a priori constraints, correlation coefficients are slightly improved. Large discrepancies (total column bias over 15 %) observed in the Northern Hemisphere during the winter months are reduced by a factor of 2 to 2.5. The detailed analysis of retrieved vertical profiles compared with collocated aircraft data from the MOZAIC-IAGOS network, illustrates the advantages and disadvantages of a constant vs. a variable a priori. On one hand, MOPITT agrees better with the aircraft profiles for observations with persisting high levels of CO throughout the year due to pollution or seasonal fire activity (because the climatology-based a priori is supposed to be closer to the real atmospheric state). On the other hand, IASI performs better when unexpected events leading to high levels of CO occur, due to a larger variability associated with the a priori.

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“…A number of satellite instruments have been measuring tropospheric CO globally over the past decade including MOPITT (2000-) (Edwards Published by Copernicus Publications on behalf of the European Geosciences Union. et al, 2006b;Emmons et al, 2007), SCIAMACHY (2002 (Bovensmann et al, 1999;Buchwitz et al, 2007;Burrows et al, 1995;de Laat et al, 2007), AIRS (2002-) (McMillan et al, 2005Warner et al, 2007;Yurganov et al, 2008), ACE-FTS (2003-) (Clerbaux et al, 2005, TES (2004-) (Lopez et al, 2008;Luo et al, 2007a;Rinsland et al, 2006), andIASI (2007-) (FortemsCheiney et al, 2009;Turquety et al, 2009). These satellite data expand the perspective offered by in situ observations, such as from the NOAA/GMD surface monitoring network (Novelli et al, 2003) and from commercial aircraft (Nedelec et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES)

et al. 2010

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Abstract. We combine CO column measurements from the MOPITT, AIRS, SCIAMACHY, and TES satellite instruments in a full-year (May 2004-April 2005 global inversion of CO sources at 4 • ×5 • spatial resolution and monthly temporal resolution. The inversion uses the GEOS-Chem chemical transport model (CTM) and its adjoint applied to MO-PITT, AIRS, and SCIAMACHY. Observations from TES, surface sites (NOAA/GMD), and aircraft (MOZAIC) are used for evaluation of the a posteriori solution. Using GEOSChem as a common intercomparison platform shows global consistency between the different satellite datasets and with the in situ data. Differences can be largely explained by different averaging kernels and a priori information. The global CO emission from combustion as constrained in the inversion is 1350 Tg a −1 . This is much higher than current bottomup emission inventories. A large fraction of the correction results from a seasonal underestimate of CO sources at northern mid-latitudes in winter and suggests a larger-thanexpected CO source from vehicle cold starts and residential heating. Implementing this seasonal variation of emissions solves the long-standing problem of models underestimating CO in the northern extratropics in winter-spring. A posCorrespondence to: M. Kopacz (mkopacz@princeton.edu) teriori emissions also indicate a general underestimation of biomass burning in the GFED2 inventory. However, the tropical biomass burning constraints are not quantitatively consistent across the different datasets.

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Daily global maps of carbon monoxide from NASA's Atmospheric Infrared Sounder

Cited by 197 publications

References 24 publications

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

An investigation of methods for injecting emissions from boreal wildfires using WRF-Chem during ARCTAS

An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology

Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES)

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