Aerosol Layer Height over Water via Oxygen A-Band Observations from Space: A Tutorial

Davis, Anthony B.; Калашникова, О. В.

doi:10.1007/978-3-030-03445-0_4

Cited by 6 publications

(10 citation statements)

References 44 publications

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“…One such configuration would be for a multi-angle instrument with hyperspectral capabilities. Such a configuration could resolve the Oxygen A-band signal through different slant paths from multi-angle views and enhance the ability to derive the heights of cloud (Ferlay et al, 2010) and aerosol (Davis and Kalashnikova, 2019) layers. There are no current plans for such an instrument featuring radiometry alone.…”

Section: Heritage Aerosol Retrievals From Multi-spectral Multi-angulamentioning

confidence: 99%

Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry

Remer

Knobelspiesse

Zhai

et al. 2019

Front. Environ. Sci.

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The Plankton, Aerosol, Clouds, ocean Ecosystem (PACE) mission presents new opportunities and new challenges in applying observations of two complementary multi-angle polarimeters for the space-based retrieval of global aerosol properties. Aerosol remote sensing from multi-angle radiometric-only observations enables aerosol characterization to a greater degree than single-view radiometers, as demonstrated by nearly two decades of heritage instruments. Adding polarimetry to the multi-angle observations allows for the retrieval of aerosol optical depth, Angstrom exponent, parameters of size distribution, measures of aerosol absorption, complex refractive index and degree of non-sphericity of the particles, as demonstrated by two independent retrieval algorithms applied to the heritage POLarization and Directionality of the Earth's Reflectance (POLDER) instrument. The reason why this detailed particle characterization is possible is because a multi-angle polarimeter measurement contains twice the number of Degrees of Freedom of Signal (DFS) compared to an observation from a single-view radiometer. The challenges of making use of this information content involve separating surface signal from atmospheric signal, especially when the surface is optically complex and especially in the ultraviolet portion of the spectrum where we show the necessity of polarization in making that separation. The path forward is likely to involve joint retrievals that will simultaneously retrieve aerosol and surface properties, although advances will be required in radiative transfer modeling and in representing optically complex constituents in those models. Another challenge is in having the processing capability that can keep Remer et al. Aerosol Characterization With PACE Polarimeters pace with the output of these instruments in an operational environment. Yet, preliminary algorithms applied to airborne multi-angle polarimeter observations offer encouraging results that demonstrate the advantages of these instruments to retrieve aerosol layer height, particle single scattering albedo, size distribution and spectral optical depth, and also show the necessity of polarization measurements, not just multi-angle radiometric measurements, to achieve these results.

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Section: Heritage Aerosol Retrievals From Multi-spectral Multi-angulamentioning

confidence: 99%

Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry

Remer

Knobelspiesse

Zhai

et al. 2019

Front. Environ. Sci.

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“…Advancements have also been made in aerosol height retrievals from OCI-like passive remote sensing data [e.g., Duforêt et al (2007) and Dubuisson et al (2009) from POLDER and MERIS (Medium Resolution Imaging Spectrometer) data]. Sensitivity studies on the information content of aerosol height over oceans in OCI's hyperspectral measurements of Oxygen Aand B-band radiance are reported by Davis and Kalashnikova (2019), Frouin et al (2019), and Remer et al (2019). In addition, studied aerosol height retrievals over vegetated land from actual Oxygen B-band radiance measured by the EPIC (Earth Polychromatic Imaging Camera) instrument onboard the DSCOVR (Deep Space Climate Observatory) platform.…”

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Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective

et al. 2019

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The research frontiers of radiative transfer (RT) in coupled atmosphere-ocean systems are explored to enable new science and specifically to support the upcoming Plankton, Aerosol, Cloud ocean Ecosystem (PACE) satellite mission. Given (i) the multitude of atmospheric and oceanic constituents at any given moment that each exhibits a large variety of physical and chemical properties and (ii) the diversity of light-matter interactions (scattering, absorption, and emission), tackling all outstanding RT aspects related to interpreting and/or simulating light reflected by atmosphere-ocean systems becomes impossible. Instead, we focus on both theoretical and experimental studies of RT topics important to the science threshold and goal questions of the PACE mission and the measurement capabilities of its instruments. We differentiate between (a) forward (FWD) RT studies that focus mainly on sensitivity to influencing variables and/or simulating data sets, and (b) inverse (INV) RT studies that also involve the retrieval of atmosphere and ocean parameters. Our topics cover (1) the ocean (i.e., water body): absorption and elastic/inelastic scattering by pure water (FWD RT) and models for scattering and absorption by particulates (FWD RT and INV RT); (2) the airwater interface: variations in ocean surface refractive index (INV RT) and in whitecap reflectance (INV RT); (3) the atmosphere: polarimetric and/or hyperspectral remote sensing of aerosols (INV RT) and of gases (FWD RT); and (4) atmosphere-ocean systems: benchmark comparisons, impact of the Earth's sphericity and adjacency effects on space-borne observations, and scattering in the ultraviolet regime (FWD RT). We provide for each topic a summary of past relevant (heritage) work, followed by a discussion (for unresolved questions) and RT updates.

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“…For details about how to derive σ x and A x from the above information, we refer to Rodgers (2000). For details about the adopted radiative transfer model, we refer to Davis and Kalashnikova (2019), who also summarize the required elements of optimal estimation theory from Rodgers (2000). Figure 5 shows A x for x = p top (upper panels) and x = p (lower panels).…”

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“…Even at typical radiometric noise levels, assumed to be 3%, the two aerosol layer elevations are easier to distinguish here than in lower-left, using instrument error magnitude as unit of signal distance. Reprinted by permission from Springer Nature: Davis and Kalashnikova (2019).…”

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Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument

et al. 2019

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Aerosol Layer Height over Water via Oxygen A-Band Observations from Space: A Tutorial

Cited by 6 publications

References 44 publications

Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry

Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry

Modeling Atmosphere-Ocean Radiative Transfer: A PACE Mission Perspective

Retrieving Aerosol Characteristics From the PACE Mission, Part 1: Ocean Color Instrument

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