Retrieving UV–Vis spectral single-scattering albedo of absorbing aerosols above clouds from synergy of ORACLES airborne and A-train sensors DOI Creative Commons
Hiren Jethva, Omar Torres, R. A. Ferrare

et al.

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(8), P. 2335 - 2366

Published: April 18, 2024

Abstract. Inadequate knowledge about the complex microphysical and optical processes of aerosol–cloud system severely restricts our ability to quantify resultant impact on climate. Contrary negative radiative forcing (cooling) exerted by aerosols in cloud-free skies over dark surfaces, absorbing aerosols, when lofted clouds, can potentially lead significant warming atmosphere. The sign magnitude aerosol clouds are determined mainly amount loading, absorption capacity or single-scattering albedo (SSA), brightness underlying cloud cover. In satellite-based algorithms that use measurements from passive sensors, assumption SSA is known be largest source uncertainty quantifying above-cloud depth (ACAOD). this paper, we introduce a novel synergy algorithm combines direct airborne ACAOD top-of-atmosphere (TOA) spectral reflectance Ozone Monitoring Instrument (OMI) Moderate Resolution Imaging Spectroradiometer (MODIS) sensors NASA's A-train satellites retrieve (1) light-absorbing (2) aerosol-corrected (COD). Radiative transfer calculations show marked sensitivity TOA ACAOD, SSA, COD, further suggesting availability accurate allows retrieval for scenes using “color ratio” developed satellite carrying ultraviolet (UV) visible-near-IR (VNIR) wavelength bands. proposed takes advantage acquired High Spectral Lidar-2 (HSRL-2) Spectrometer Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) sun photometer operated during ORACLES (ObseRvations Aerosols above CLouds their intEractionS) field campaign (September 2016, August 2017, October 2018) southeastern Atlantic Ocean synergizes them with OMI MODIS derive near-UV (354–388 nm) VNIR (470–860 nm), respectively. When compared against remote sensing situ inversion dataset ground-based Aerosol Robotic Network (AERONET) land, retrieved SSAs satellites, average, were found within agreement ∼ 0.01 – difference well uncertainties involved all these datasets. at UV–Vis-NIR wavelengths shows distinct increasing trend October, which consistent measurements, AERONET inversions, previous findings. analysis theoretical errors measured layer height, ratio imaginary part refractive index (spectral dependence) 20 %, 1 km, 10 respectively, produce an error 388 nm (470 0.017 (0.015), 0.008 (0.002), 0.03 (0.005). development implies possible Cloud–Aerosol Lidar Orthogonal Polarization (CALIOP) OMI–MODIS deduce global product SSA. Furthermore, presented assumes implications future missions, such as Atmosphere Observing System (AOS) Earth Cloud Radiation Explorer (EarthCARE). intended help constrain climate models much-needed observational estimates effects cloudy regions expand study clouds.

Language: Английский

Retrieving UV–Vis spectral single-scattering albedo of absorbing aerosols above clouds from synergy of ORACLES airborne and A-train sensors DOI Creative Commons
Hiren Jethva, Omar Torres, R. A. Ferrare

et al.

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(8), P. 2335 - 2366

Published: April 18, 2024

Abstract. Inadequate knowledge about the complex microphysical and optical processes of aerosol–cloud system severely restricts our ability to quantify resultant impact on climate. Contrary negative radiative forcing (cooling) exerted by aerosols in cloud-free skies over dark surfaces, absorbing aerosols, when lofted clouds, can potentially lead significant warming atmosphere. The sign magnitude aerosol clouds are determined mainly amount loading, absorption capacity or single-scattering albedo (SSA), brightness underlying cloud cover. In satellite-based algorithms that use measurements from passive sensors, assumption SSA is known be largest source uncertainty quantifying above-cloud depth (ACAOD). this paper, we introduce a novel synergy algorithm combines direct airborne ACAOD top-of-atmosphere (TOA) spectral reflectance Ozone Monitoring Instrument (OMI) Moderate Resolution Imaging Spectroradiometer (MODIS) sensors NASA's A-train satellites retrieve (1) light-absorbing (2) aerosol-corrected (COD). Radiative transfer calculations show marked sensitivity TOA ACAOD, SSA, COD, further suggesting availability accurate allows retrieval for scenes using “color ratio” developed satellite carrying ultraviolet (UV) visible-near-IR (VNIR) wavelength bands. proposed takes advantage acquired High Spectral Lidar-2 (HSRL-2) Spectrometer Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) sun photometer operated during ORACLES (ObseRvations Aerosols above CLouds their intEractionS) field campaign (September 2016, August 2017, October 2018) southeastern Atlantic Ocean synergizes them with OMI MODIS derive near-UV (354–388 nm) VNIR (470–860 nm), respectively. When compared against remote sensing situ inversion dataset ground-based Aerosol Robotic Network (AERONET) land, retrieved SSAs satellites, average, were found within agreement ∼ 0.01 – difference well uncertainties involved all these datasets. at UV–Vis-NIR wavelengths shows distinct increasing trend October, which consistent measurements, AERONET inversions, previous findings. analysis theoretical errors measured layer height, ratio imaginary part refractive index (spectral dependence) 20 %, 1 km, 10 respectively, produce an error 388 nm (470 0.017 (0.015), 0.008 (0.002), 0.03 (0.005). development implies possible Cloud–Aerosol Lidar Orthogonal Polarization (CALIOP) OMI–MODIS deduce global product SSA. Furthermore, presented assumes implications future missions, such as Atmosphere Observing System (AOS) Earth Cloud Radiation Explorer (EarthCARE). intended help constrain climate models much-needed observational estimates effects cloudy regions expand study clouds.

Language: Английский

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