Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements

Gatebe, Charles K.; Dubovik, Оleg; King, Michael D.; Sinyuk, A.

doi:10.5194/acp-10-2777-2010

Cited by 24 publications

(19 citation statements)

References 52 publications

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“…Extensive data on aerosol optical properties and correlation length scales for biomass burning plumes were obtained to assist satellite AOD retrievals (Shinozuka et al, 2010). Gatebe et al (2010) 3 "Missed approach" refers to an airport runway approach with re-climb just before landing, thus allowing vertical profiling down to the ground. by the P-3 and AERONET near Barrow, Alaska to demonstrate a new method for simultaneously retrieving aerosol and surface properties from combined airborne and groundbased direct and diffuse radiometric measurements.…”

Section: Synthesis Of First Resultsmentioning

confidence: 99%

The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results

Jacob

Crawford

Maring³

et al. 2010

Atmos. Chem. Phys.

441

419

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Abstract. The NASA Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission was conducted in two 3-week deployments based in Alaska (April 2008) and western Canada (June–July 2008). Its goal was to better understand the factors driving current changes in Arctic atmospheric composition and climate, including (1) influx of mid-latitude pollution, (2) boreal forest fires, (3) aerosol radiative forcing, and (4) chemical processes. The June–July deployment was preceded by one week of flights over California (ARCTAS-CARB) focused on (1) improving state emission inventories for greenhouse gases and aerosols, (2) providing observations to test and improve models of ozone and aerosol pollution. ARCTAS involved three aircraft: a DC-8 with a detailed chemical payload, a P-3 with an extensive aerosol and radiometric payload, and a B-200 with aerosol remote sensing instrumentation. The aircraft data augmented satellite observations of Arctic atmospheric composition, in particular from the NASA A-Train. The spring phase (ARCTAS-A) revealed pervasive Asian pollution throughout the Arctic as well as significant European pollution below 2 km. Unusually large Siberian fires in April 2008 caused high concentrations of carbonaceous aerosols and also affected ozone. Satellite observations of BrO column hotspots were found not to be related to Arctic boundary layer events but instead to tropopause depressions, suggesting the presence of elevated inorganic bromine (5–10 pptv) in the lower stratosphere. Fresh fire plumes from Canada and California sampled during the summer phase (ARCTAS-B) indicated low NOx emission factors from the fires, rapid conversion of NOx to PAN, no significant secondary aerosol production, and no significant ozone enhancements except when mixed with urban pollution.

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Section: Synthesis Of First Resultsmentioning

confidence: 99%

The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results

Jacob

Crawford

Maring³

et al. 2010

Atmos. Chem. Phys.

441

419

View full text Add to dashboard Cite

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“…For example, Sinyuk et al (2007) used a modified algorithm for deriving both aerosol and surface properties from coincident ground-based radiometer and satellite observations. Gatebe et al (2010) have implemented a modification for inverting the combination of the groundbased AERONET observations with the airborne observations by the photometer and up-and down-looking radiometer and derived the detailed properties of aerosol both over and under the airplane together with properties of surface reflectance. The latest modification of the algorithm has been developed by Dubovik et al (2011) for retrieving both properties of aerosol and surface from observations of PARA-SOL/POLDER.…”

Section: The Garrlic Algorithm Conceptmentioning

confidence: 99%

Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm

et al. 2013

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Abstract. This paper presents the GARRLiC algorithm (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) that simultaneously inverts coincident lidar and radiometer observations and derives a united set of aerosol parameters. Such synergetic retrieval results in additional enhancements in derived aerosol properties because the back-scattering observations by lidar improve sensitivity to the columnar properties of aerosol, while radiometric observations provide sufficient constraints on aerosol amount and type that are generally missing in lidar signals. GARRLiC is based on the AERONET algorithm, improved to invert combined observations by radiometer and multi-wavelength elastic lidar observations. The algorithm is set to derive not only the vertical profile of total aerosol concentration but it also differentiates between the contributions of fine and coarse modes of aerosol. The detailed microphysical properties are assumed height independent and different for each mode and derived as a part of the retrieval. The GARRLiC inversion retrieves vertical distribution of both fine and coarse aerosol concentrations as well as the size distribution and complex refractive index for each mode. The potential and limitations of the method are demonstrated by the series of sensitivity tests. The effects of presence of lidar data and random noise on aerosol retrievals are studied. Limited sensitivity to the properties of the fine mode as well as dependence of retrieval accuracy on the aerosol optical thickness were found. The practical outcome of the approach is illustrated by applications of the algorithm to the real lidar and radiometer observations obtained over Minsk AERONET site.

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“…For example, aerosol pa-136 rameters can be obtained from ground-based sunphotometer measurements (Holben et al 1998), 137 or from the Ames Airborne Tracking Sunphotometer (Russell et al 1999), or retrieved from CAR 138 measurements ( Fig. 1a) (Gatebe et al 2010 …”

Section: Atmospheric Correction 121mentioning

confidence: 99%

Variability in surface BRDF at different spatial scales (30m–500m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements

Román

Gatebe

Schaaf

et al. 2011

Remote Sensing of Environment

101

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-Over the past decade, the role of multiangle remote sensing has been central to the 1 development of algorithms for the retrieval of global land surface properties including models of 2 the bidirectional reflectance distribution function (BRDF), albedo, land cover/dynamics, burned 3 area extent, as well as other key surface biophysical quantities represented by the anisotropic ref-4 lectance characteristics of vegetation. In this study, a new retrieval strategy for fine-to-moderate 5 resolution multiangle observations was developed, based on the operational sequence used to 6 retrieve the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 5 reflectance 7 and BRDF/albedo products. The algorithm makes use of a semiempirical kernel-driven bidirec-8 tional reflectance model to provide estimates of intrinsic albedo (i.e., directional-hemispherical 9 reflectance and bihemispherical reflectance), model parameters describing the BRDF, and exten-10 sive quality assurance information. The new retrieval strategy was applied to NASA's Cloud Ab

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Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements

Cited by 24 publications

References 52 publications

The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results

The Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) mission: design, execution, and first results

Enhancement of aerosol characterization using synergy of lidar and sun-photometer coincident observations: the GARRLiC algorithm

Variability in surface BRDF at different spatial scales (30m–500m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements

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