Articles | Volume 3, issue 4
Atmos. Meas. Tech., 3, 909–932, 2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
15 Jul 2010
15 Jul 2010
The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light
A. A. Kokhanovsky et al.
Related subject area
Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information RetrievalSimulated reflectance above snow constrained by airborne measurements of solar radiation: implications for the snow grain morphology in the ArcticModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data setIntegrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometerEffects of clouds on the UV Absorbing Aerosol Index from TROPOMICorrection of a lunar-irradiance model for aerosol optical depth retrieval and comparison with a star photometerImproving GOES Advanced Baseline Imager (ABI) aerosol optical depth (AOD) retrievals using an empirical bias correction algorithmRelative sky radiance from multi-exposure all-sky camera imagesStratospheric aerosol extinction profiles from SCIAMACHY solar occultationA feasibility study to use machine learning as an inversion algorithm for aerosol profile and property retrieval from multi-axis differential absorption spectroscopy measurementsLeveraging spatial textures, through machine learning, to identify aerosols and distinct cloud types from multispectral observationsRetrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017Retrieval of stratospheric aerosol size distribution parameters using SAGE-III/ISS extinction measurements at three wavelengthsOMPS LP Version 2.0 Multi-wavelength Aerosol Extinction Coefficient Retrieval AlgorithmAn uncertainty-based protocol for the setup and measurement of soot/black carbon emissions from gas flares using sky-LOSAAerosol optical properties as observed from an ultralight aircraft over the Strait of GibraltarEvaluation of a method for converting Stratospheric Aerosol and Gas Experiment (SAGE) extinction coefficients to backscatter coefficients for intercomparison with lidar observationsInversion of multiangular polarimetric measurements from the ACEPOL campaign: an application of improving aerosol property and hyperspectral ocean color retrievalsA new measurement approach for validating satellite-based above cloud aerosol optical depthImproved water vapour retrieval from AMSU-B and MHS in the ArcticThe AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2Issues related to the retrieval of stratospheric-aerosol particle size information based on optical measurementsA new lidar inversion method using a surface reference target applied to the backscattering coefficient and lidar ratio retrievals of a fog-oil plume at short rangeA multi-axis differential optical absorption spectroscopy aerosol profile retrieval algorithm for high-altitude measurements: application to measurements at Schneefernerhaus (UFS), GermanyThe potential of elastic and polarization lidars to retrieve extinction profilesIntroducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol productRetrieval of gridded aerosol direct radiative forcing based on multiplatform datasetsAssessing the stability of surface lights for use in retrievals of nocturnal atmospheric parametersA neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithmApplying the Dark Target aerosol algorithm with Advanced Himawari Imager observations during the KORUS-AQ field campaignAbove-cloud aerosol radiative effects based on ORACLES 2016 and ORACLES 2017 aircraft experimentsThe role of aerosol layer height in quantifying aerosol absorption from ultraviolet satellite observationsCloud-Aerosol Transport System (CATS) 1064 nm calibration and validationCALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessmentNeural network for aerosol retrieval from hyperspectral imageryUnified quantitative observation of coexisting volcanic sulfur dioxide and sulfate aerosols using ground-based Fourier transform infrared spectroscopyAerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectancesA Tale of Two Dust Storms: analysis of a complex dust event in the Middle EastDust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)?Analyzing the atmospheric boundary layer using high-order moments obtained from multiwavelength lidar data: impact of wavelength choiceYear-round stratospheric aerosol backscatter ratios calculated from lidar measurements above northern NorwayInversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance propertiesAn adaptation of the CO2 slicing technique for the Infrared Atmospheric Sounding Interferometer to obtain the height of tropospheric volcanic ash cloudsMethod to retrieve cloud condensation nuclei number concentrations using lidar measurementsAerosol-type classification based on AERONET version 3 inversion productsThe Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluationTwo decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign dataDetecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep spaceA new method to determine the aerosol optical properties from multiple-wavelength O4 absorptions by MAX-DOAS observationCharacterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band
Soheila Jafariserajehlou, Vladimir V. Rozanov, Marco Vountas, Charles K. Gatebe, and John P. Burrows
Atmos. Meas. Tech., 14, 369–389,Short summary
In this work, we study retrieval of snow grain morphologies and their impact on the reflectance in a coupled snow–atmosphere system. We present a sensitivity study to highlight the importance of having adequate information about snow and atmosphere. A novel two-stage algorithm for retrieving the size and shape of snow grains is presented. The reflectance simulation results are compared to that of airborne measurements; high correlations of 0.98 at IR and 0.88–0.98 at VIS are achieved.
Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, Stelios Kazadzis, Enza Di Tomaso, Alexandra Tsekeri, Eleni Marinou, Nikos Hatzianastassiou, and Carlos Pérez García-Pando
Atmos. Meas. Tech., 14, 309–334,Short summary
We present the development of the MIDAS (ModIs Dust AeroSol) data set, providing daily dust optical depth (DOD; 550 nm) at a global scale and fine spatial resolution (0.1° x 0.1°) over a 15-year period (2003–2017). It has been developed via the synergy of MODIS-Aqua and MERRA-2 data, while CALIOP and AERONET retrievals are used for its assessment. MIDAS upgrades existing dust observational capabilities, and it is suitable for dust climatological studies, model evaluation, and data assimilation.
Jae-Sik Min, Moon-Soo Park, Jung-Hoon Chae, and Minsoo Kang
Atmos. Meas. Tech., 13, 6965–6987,Short summary
An algorithm for an integrated system for ABLH estimation (ISABLE) was developed and applied to the vertical profile data obtained by a ceilometer and a microwave radiometer in Seoul city, Korea. The ISABLE algorithm finds an optimal ABLH through the post-processing including k-means clustering and density-based spatial clustering of applications with noise (DBSCAN) techniques. The ISABLE ABLH exhibited better performance than those obtained by most conventional methods.
Maurits L. Kooreman, Piet Stammes, Victor Trees, Maarten Sneep, L. Gijsbert Tilstra, Martin de Graaf, Deborah C. Stein Zweers, Ping Wang, Olaf N. E. Tuinder, and J. Pepijn Veefkind
Atmos. Meas. Tech., 13, 6407–6426,Short summary
We investigated the influence of clouds on the Absorbing Aerosol Index (AAI), an indicator of the presence of small particles in the atmosphere. Clouds produce artifacts in AAI calculations on the individual measurement (7 km) scale, which was not seen with previous instruments, as well as on large (1000+ km) scales. To reduce these artefacts, we used three different AAI calculation techniques of varying complexity. We find that the AAI artifacts are reduced when using more complex techniques.
Roberto Román, Ramiro González, Carlos Toledano, África Barreto, Daniel Pérez-Ramírez, Jose A. Benavent-Oltra, Francisco J. Olmo, Victoria E. Cachorro, Lucas Alados-Arboledas, and Ángel M. de Frutos
Atmos. Meas. Tech., 13, 6293–6310,Short summary
Atmospheric-aerosol and gaseous properties can be derived at night-time if the lunar irradiance at the ground is measured. To this end, the knowledge of lunar irradiance at the top of the atmosphere is necessary. This extraterrestrial lunar irradiance is usually calculated by models since it varies with several geometric factors mainly depending on time and location. This paper proposes a correction to the most used lunar-irradiance model to be applied for atmospheric-aerosol characterization.
Hai Zhang, Shobha Kondragunta, Istvan Laszlo, and Mi Zhou
Atmos. Meas. Tech., 13, 5955–5975,Short summary
Geostationary Operational Environmental Satellites (GOES) retrieve high temporal resolution aerosol optical depth, which is a measure of the aerosol quantity within the atmospheric column. This work introduces an algorithm that improves the accuracy of the aerosol optical depth retrievals from GOES. The resulting data product can be used in monitoring the air quality and climate change research.
Juan C. Antuña-Sánchez, Roberto Román, Victoria E. Cachorro, Carlos Toledano, César López, Ramiro González, David Mateos, Abel Calle, and Ángel M. de Frutos
Atmos. Meas. Tech. Discuss.,
Revised manuscript accepted for AMTShort summary
This paper presents a new technique to exploit the potential of all sky cameras. The sky radiance at three effective wavelengths are calculated and compared with alternative measurements and simulated data. The proposed method will be useful for the retrieval of aerosols and clouds properties.
Stefan Noël, Klaus Bramstedt, Alexei Rozanov, Elizaveta Malinina, Heinrich Bovensmann, and John P. Burrows
Atmos. Meas. Tech., 13, 5643–5666,Short summary
A new approach to derive stratospheric aerosol extinction profiles from SCIAMACHY solar occultation measurements based on an onion-peeling method is presented. The resulting extinctions at 452, 525 and 750 nm compare well with other limb and occultation data from, e.g. SAGE and SCIAMACHY, but show small oscillating features which vanish in monthly anomalies. Major volcanic eruptions, polar stratospheric clouds and influences of the quasi-biennial oscillation can be identified in the time series.
Yun Dong, Elena Spinei, and Anuj Karpatne
Atmos. Meas. Tech., 13, 5537–5550,Short summary
This paper is about a feasibility study of applying a machine learning technique to derive aerosol properties from a single MAX-DOAS sky scan, which detects sky-scattered UV–visible photons at multiple elevation angles. Evaluation of retrieved aerosol properties shows good performance of the ML algorithm, suggesting several advantages of a ML-based inversion algorithm such as fast data inversion, simple implementation and the ability to extract information not available using other algorithms.
Willem J. Marais, Robert E. Holz, Jeffrey S. Reid, and Rebecca M. Willett
Atmos. Meas. Tech., 13, 5459–5480,Short summary
Space agencies use moderate-resolution satellite imagery to study how smoke, dust, pollution (aerosols) and cloud types impact the Earth's climate; these space agencies include NASA, ESA and the China Meteorological Administration. We demonstrate in this paper that an algorithm with convolutional neural networks can greatly enhance the automated detection of aerosols and cloud types from satellite imagery. Our algorithm is an improvement on current aerosol and cloud detection algorithms.
Anin Puthukkudy, J. Vanderlei Martins, Lorraine A. Remer, Xiaoguang Xu, Oleg Dubovik, Pavel Litvinov, Brent McBride, Sharon Burton, and Henrique M. J. Barbosa
Atmos. Meas. Tech., 13, 5207–5236,Short summary
In this work, we report the demonstration and validation of the aerosol properties retrieved using AirHARP and GRASP for data from the NASA ACEPOL campaign 2017. These results serve as a proxy for the scale and detail of aerosol retrievals that are anticipated from future space mission data, as HARP CubeSat (mission begins 2020) and HARP2 (aboard the NASA PACE mission with the launch in 2023) are near duplicates of AirHARP and are expected to provide the same level of aerosol characterization.
Felix Wrana, Christian von Savigny, Jacob Zalach, and Larry W. Thomason
Atmos. Meas. Tech. Discuss.,
Revised manuscript accepted for AMTShort summary
In this paper we describe a new method to calculate the size of naturally occurring droplets (aerosols) made mostly of sulfuric acid and water, that can be found roughly in 20 km altitude in the atmosphere. For this we use data from the instrument SAGE III/ISS that is mounted on the International Space Station. We show that our method works well and that the size parameters we calculate are reasonable and can be a valuable addition to better understand the aerosols and their effect on climate.
Ghassan Taha, Robert Loughman, Tong Zhu, Larry Thomason, Jayanta Kar, Landon Rieger, and Adam Bourassa
Atmos. Meas. Tech. Discuss.,
Revised manuscript accepted for AMTShort summary
This work describes the newly released OMPS LP aerosol extinction profiles multi-wavelength Version 2.0 algorithm and data set. It is shown that the V2.0 aerosols exhibit significant improvements in OMPS LP retrieval performance in the Southern Hemisphere and at lower altitudes. The new product is compared to the SAGE III/ISS, OSIRIS and CALIPSO missions and shown to be of good quality and suitable for scientific studies.
Bradley M. Conrad and Matthew R. Johnson
Atmos. Meas. Tech. Discuss.,
Revised manuscript accepted for AMTShort summary
A general uncertainty analysis (GUA) is performed for the sky-LOSA technique used to remotely measure soot emissions from gas flares. GUA data are compiled in an open-source software tool to help sky-LOSA users select critical setup and acquisition parameters while giving quantitative visual feedback on anticipated uncertainties for a specific measurement. The software tool enables easy acquisition of optimal measurement data, significantly increasing the accessibility of the sky-LOSA technique.
Atmos. Meas. Tech., 13, 4461–4477,Short summary
By coupling lidar on board a ULA and ground-based lidar measurements, this paper highlights aerosol transport over the Strait of Gibraltar. It shows that the lidar-derived aerosol optical properties can be different from what is commonly accepted. It presents unprecedented vertical profiles over this region and relates them to the origin of air masses. The results are based on ground, airborne, and spaceborne observations, as well as multiple retro-trajectory analyses.
Travis N. Knepp, Larry Thomason, Marilee Roell, Robert Damadeo, Kevin Leavor, Thierry Leblanc, Fernando Chouza, Sergey Khaykin, Sophie Godin-Beekmann, and David Flittner
Atmos. Meas. Tech., 13, 4261–4276,Short summary
Two common measurements that represent atmospheric aerosol loading are the backscatter and extinction coefficients. Measuring backscatter and extinction coefficients requires different viewing geometries and fundamentally different instrument systems. Further, these coefficients are not directly comparable. We present an algorithm to convert SAGE-observed extinction coefficients to backscatter coefficients for intercomparison with lidar backscatter products, followed by evaluation of the method.
Meng Gao, Peng-Wang Zhai, Bryan A. Franz, Kirk Knobelspiesse, Amir Ibrahim, Brian Cairns, Susanne E. Craig, Guangliang Fu, Otto Hasekamp, Yongxiang Hu, and P. Jeremy Werdell
Atmos. Meas. Tech., 13, 3939–3956,
Charles K. Gatebe, Hiren Jethva, Ritesh Gautam, Rajesh Poudyal, and Tamas Várnai
Atmos. Meas. Tech. Discuss.,
Revised manuscript accepted for AMTShort summary
The retrieval of aerosol parameters from passive satellite instruments in cloudy scenes is challenging, partly because clouds and cloud-related processes may significantly modify the aerosol properties and partly because of the 3D radiative effects. This study shows demonstrate a novel airborne measurement approach for assessing satellite retrievals of aerosols above clouds using SAFARI 2000 field data over ocean, thereby filling a major gap that exists in the global aerosol observations.
Arantxa M. Triana-Gómez, Georg Heygster, Christian Melsheimer, Gunnar Spreen, Monia Negusini, and Boyan H. Petkov
Atmos. Meas. Tech., 13, 3697–3715,Short summary
In the Arctic, in situ measurements are sparse and standard remote sensing retrieval methods have problems. We present advances in a retrieval algorithm for vertically integrated water vapour tuned for polar regions. In addition to the initial sensor used (AMSU-B), we can now also use data from the successor instrument (MHS). Additionally, certain artefacts are now filtered out. Comparison with radiosondes shows the overall good performance of the updated algorithm.
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Sergey Korkin, Joel S. Schafer, Alexander Smirnov, Mikhail Sorokin, and Alexei Lyapustin
Atmos. Meas. Tech., 13, 3375–3411,
Christian von Savigny and Christoph G. Hoffmann
Atmos. Meas. Tech., 13, 1909–1920,Short summary
Stratospheric sulfate aerosols increase the Earth's planetary albedo and can lead to significant surface cooling, for example in the aftermath of volcanic eruptions. Their particle size distribution, important for physical and chemical effects of these aerosols, is still not fully understood. The present paper proposes an explanation for systematic differences in aerosol particle size retrieved from measurements made in different measurement geometries and reported in earlier studies.
Florian Gaudfrin, Olivier Pujol, Romain Ceolato, Guillaume Huss, and Nicolas Riviere
Atmos. Meas. Tech., 13, 1921–1935,Short summary
A new elastic lidar inversion equation is presented. It is based on the backscattering signal from a surface reference target rather than that from a volumetric layer of reference as is usually done. The method presented can be used in the case of airborne elastic lidar measurements or when the lidar–target line is horizontal. Also, a new algorithm is described to retrieve the lidar ratio and the backscattering coefficient of an aerosol plume without any a priori assumptions about the plume.
Zhuoru Wang, Ka Lok Chan, Klaus-Peter Heue, Adrian Doicu, Thomas Wagner, Robert Holla, and Matthias Wiegner
Atmos. Meas. Tech., 13, 1835–1866,Short summary
We present a new aerosol profile retrieval algorithm for MAX-DOAS measurements at high-altitude sites and applied to the MAX-DOAS measurements at UFS. The retrieval algorithm is based on a O4 DSCD lookup table which is dedicated to high-altitude MAX-DOAS measurements. The comparison of retrieved aerosol optical depths (AODs) to sun photometer observations shows good agreement with a correlation coefficient (R) of 0.733 and 0.798 at 360 and 477 nm, respectively.
Elina Giannakaki, Panos Kokkalis, Eleni Marinou, Nikolaos S. Bartsotas, Vassilis Amiridis, Albert Ansmann, and Mika Komppula
Atmos. Meas. Tech., 13, 893–905,Short summary
A new method, called ElEx, is proposed for the estimation of extinction coefficient lidar profiles using only the information provided by the elastic and polarization channels of a lidar system. The method is applicable to lidar measurements both during daytime and nighttime under well-defined aerosol mixtures. Comparisons with both Raman lidar profiles during nightime and sun photometer daytime aerosol optical depth observations demonstrate the potential of the ElEx methodology.
Michael J. Garay, Marcin L. Witek, Ralph A. Kahn, Felix C. Seidel, James A. Limbacher, Michael A. Bull, David J. Diner, Earl G. Hansen, Olga V. Kalashnikova, Huikyo Lee, Abigail M. Nastan, and Yan Yu
Atmos. Meas. Tech., 13, 593–628,Short summary
The Multi-angle Imaging SpectroRadiometer (MISR) instrument has been operational since early 2000, creating an extensive data set of global Earth observations. Here we introduce the latest version (V23) of the MISR aerosol products, which is reported on a 4.4 km spatial grid and contains retrieved aerosol optical depth and aerosol particle property information derived over both land and water. The changes implemented in V23 have significant impacts on the data product and its interpretation.
Yanyu Wang, Rui Lyu, Xin Xie, Ze Meng, Meijin Huang, Junshi Wu, Haizhen Mu, Qiu-Run Yu, Qianshan He, and Tiantao Cheng
Atmos. Meas. Tech., 13, 575–592,Short summary
A satellite-based method for clear-sky aerosol direct radiative forcing (ADRF) retrieval and spatiotemporal characteristics of ADRF in eastern China were displayed during 2000–2016. Our analysis shows aerosols have a strong cooling effect at the surface, and the changes of ADRF are closely related to the changes of AOD with the development of economic growth and rapid urbanization in eastern China.
Jeremy E. Solbrig, Steven D. Miller, Jianglong Zhang, Lewis Grasso, and Anton Kliewer
Atmos. Meas. Tech., 13, 165–190,Short summary
New satellite sensors are able to view visible light, such as that emitted by cities, at night. It may be possible to use the light from cities to assess the amount of particulate matter in the atmosphere and the thickness of clouds. To do this we must understand how light emitted from the Earth's surface changes with time and viewing conditions. This study takes a step towards understanding the characteristics of light emitted by cities and its stability in time.
Swadhin Nanda, Martin de Graaf, J. Pepijn Veefkind, Mark ter Linden, Maarten Sneep, Johan de Haan, and Pieternel F. Levelt
Atmos. Meas. Tech., 12, 6619–6634,Short summary
This paper discusses a neural network forward model used by the operational aerosol layer height (ALH) retrieval algorithm for the TROPOspheric Monitoring Instrument (TROPOMI) on board the European Sentinel-5 Precursor satellite mission. This model replaces online radiative transfer calculations within the oxygen A-band, improving the speed of the algorithm by 3 orders of magnitude. With this advancement in the algorithm's speed, TROPOMI is set to deliver the ALH product operationally.
Pawan Gupta, Robert C. Levy, Shana Mattoo, Lorraine A. Remer, Robert E. Holz, and Andrew K. Heidinger
Atmos. Meas. Tech., 12, 6557–6577,Short summary
Aerosol optical depth (AOD) from a geostationary satellite has been retrieved, and validated and diurnal cycles of aerosols are discussed over the eastern hemisphere and a 2-month period of May–June 2016. The new AOD product matches well with AERONET as well as with the standard MODIS product. Future work to make this algorithm operational will need to re-examine masking including snow masks, re-evaluate assumed aerosol models for geosynchronous geometry and address the surface characterization.
Sabrina P. Cochrane, K. Sebastian Schmidt, Hong Chen, Peter Pilewskie, Scott Kittelman, Jens Redemann, Samuel LeBlanc, Kristina Pistone, Meloë Kacenelenbogen, Michal Segal Rozenhaimer, Yohei Shinozuka, Connor Flynn, Steven Platnick, Kerry Meyer, Rich Ferrare, Sharon Burton, Chris Hostetler, Steven Howell, Steffen Freitag, Amie Dobracki, and Sarah Doherty
Atmos. Meas. Tech., 12, 6505–6528,Short summary
For two cases from the NASA ORACLES experiments, we retrieve aerosol and cloud properties and calculate a direct aerosol radiative effect (DARE). We investigate the relationship between DARE and the cloud albedo by specifying the albedo for which DARE transitions from a cooling to warming radiative effect. Our new aerosol retrieval algorithm is successful despite complexities associated with scenes that contain aerosols above clouds and decreases the uncertainty on retrieved aerosol parameters.
Jiyunting Sun, Pepijn Veefkind, Swadhin Nanda, Peter van Velthoven, and Pieternel Levelt
Atmos. Meas. Tech., 12, 6319–6340,Short summary
Single scattering albedo (SSA) is critical for reducing uncertainties in radiative forcing assessment. This paper presents two methods to retrieve SSA from satellite observations of the near-UV absorbing aerosol index (UVAI). The first is physically based radiative transfer simulations; the second is a statistically based machine learning algorithm. The result of the latter is encouraging. Both methods show that the ALH is necessary to quantitatively interpret aerosol absorption from UVAI.
Rebecca M. Pauly, John E. Yorks, Dennis L. Hlavka, Matthew J. McGill, Vassilis Amiridis, Stephen P. Palm, Sharon D. Rodier, Mark A. Vaughan, Patrick A. Selmer, Andrew W. Kupchock, Holger Baars, and Anna Gialitaki
Atmos. Meas. Tech., 12, 6241–6258,Short summary
The Cloud Aerosol Transport System (CATS) demonstrated that direct calibration of 1064 nm lidar data from a spaceborne platform is possible. By normalizing the CATS signal to a modeled molecular backscatter profile the CATS data were calibrated, enabling the derivation of optical properties of clouds and aerosols. Comparisons of the calibrated signal with airborne lidar, ground-based lidar, and spaceborne lidar all show agreement within the estimated error bars of the respective instruments.
Jayanta Kar, Kam-Pui Lee, Mark A. Vaughan, Jason L. Tackett, Charles R. Trepte, David M. Winker, Patricia L. Lucker, and Brian J. Getzewich
Atmos. Meas. Tech., 12, 6173–6191,Short summary
This work describes the science algorithm for the recently released CALIPSO level 3 stratospheric aerosol product. It is shown that the retrieved extinction profiles capture the major stratospheric perturbations over the last decade resulting from volcanic eruptions, pyroCb smoke events, and signatures of stratospheric dynamics. An initial assessment is also provided by intercomparison with the latest aerosol retrievals from the SAGE III instrument aboard the International Space Station.
Steffen Mauceri, Bruce Kindel, Steven Massie, and Peter Pilewskie
Atmos. Meas. Tech., 12, 6017–6036,Short summary
Aerosols are fine particles that are suspended in Earth’s atmosphere. A better understanding of aerosols is important to lower uncertainties in climate predictions. We propose measuring aerosols from satellites and airplanes equipped with hyperspectral cameras using an artificial neural network, a form of machine learning. We applied our neural network to hyperspectral observations from a recent airplane flight over India and find general agreement with independent aerosol measurements.
Pasquale Sellitto, Henda Guermazi, Elisa Carboni, Richard Siddans, and Mike Burton
Atmos. Meas. Tech., 12, 5381–5389,Short summary
Volcanoes release complex plumes of gas and particles. Volcanic gases, like SO2, can additionally condense, once released, to form particles, sulphate aerosol (SA). Observing simultaneously SO2+SA is important: their proportion provides information on the internal state of volcanoes, and can be used to predict plumes' atmospheric evolution and their environmental and climatic impacts. We developed a new method to observe simultaneously, for the first time, SO2+SA using infrared remote sensing.
Martin de Graaf, L. Gijsbert Tilstra, and Piet Stammes
Atmos. Meas. Tech., 12, 5119–5135,Short summary
A new algorithm is described, which was used to derive direct radiative effects of aerosols above clouds. These effects are among the largest uncertainties in global climate model simulations, and observations are needed to constrain these simulations. A recently developed method was applied to a combination of satellite reflectance measurements to cover the entire shortwave (solar) spectrum. Radiative effects of aerosols over the south-east Atlantic are presented, where the effects are largest.
Steven D. Miller, Louie D. Grasso, Qijing Bian, Sonia M. Kreidenweis, Jack F. Dostalek, Jeremy E. Solbrig, Jennifer Bukowski, Susan C. van den Heever, Yi Wang, Xiaoguang Xu, Jun Wang, Annette L. Walker, Ting-Chi Wu, Milija Zupanski, Christine Chiu, and Jeffrey S. Reid
Atmos. Meas. Tech., 12, 5101–5118,Short summary
Satellite–based detection of lofted mineral via infrared–window channels, well established in the literature, faces significant challenges in the presence of atmospheric moisture. Here, we consider a case featuring the juxtaposition of two dust plumes embedded within dry and moist air masses. The case is considered from the vantage points of numerical modeling, multi–sensor observations, and radiative transfer theory arriving at a new method for mitigating the water vapor masking effect.
Albert Ansmann, Rodanthi-Elisavet Mamouri, Julian Hofer, Holger Baars, Dietrich Althausen, and Sabur F. Abdullaev
Atmos. Meas. Tech., 12, 4849–4865,
Matthias Tesche, Alexei Kolgotin, Moritz Haarig, Sharon P. Burton, Richard A. Ferrare, Chris A. Hostetler, and Detlef Müller
Atmos. Meas. Tech., 12, 4421–4437,Short summary
Today, few lidar are capable of triple-wavelength particle linear depolarization ratio (PLDR) measurements. This study is the first systematic investigation of the effect of different choices of PLDR input on the inversion of lidar measurements of mineral dust and dusty mixtures using light scattering by randomly oriented spheroids. We provide recommendations of the most suitable input parameters for use with the applied methodology, based on a relational assessment of the inversion output.
Gregori de Arruda Moreira, Fábio Juliano da Silva Lopes, Juan Luis Guerrero-Rascado, Jonatan João da Silva, Antonio Arleques Gomes, Eduardo Landulfo, and Lucas Alados-Arboledas
Atmos. Meas. Tech., 12, 4261–4276,Short summary
In this paper, we present a comparative analysis of the use of lidar-backscattered signals at three wavelengths (355, 532 and 1064 nm) to study the ABL by investigating high-order moments, which gives us information about the ABL height (derived using the variance method), aerosol layer movements (skewness) and mixing conditions (kurtosis) at several heights.
Arvid Langenbach, Gerd Baumgarten, Jens Fiedler, Franz-Josef Lübken, Christian von Savigny, and Jacob Zalach
Atmos. Meas. Tech., 12, 4065–4076,Short summary
Stratospheric aerosol backscatter ratios in the Arctic using Rayleigh, Mie and Raman backscattered signals were calculated. A backscatter ratio calculation during daytime was performed for the first time. Sharp aerosol layers thinner than 1 km over several days were observed. The seasonal cycle of stratospheric background aerosol in high latitudes including the summer months was calculated for the first time. Top altitude of the aerosol layer was found to reach up to 34 km, especially in summer.
Meng Gao, Peng-Wang Zhai, Bryan A. Franz, Yongxiang Hu, Kirk Knobelspiesse, P. Jeremy Werdell, Amir Ibrahim, Brian Cairns, and Alison Chase
Atmos. Meas. Tech., 12, 3921–3941,
Isabelle A. Taylor, Elisa Carboni, Lucy J. Ventress, Tamsin A. Mather, and Roy G. Grainger
Atmos. Meas. Tech., 12, 3853–3883,Short summary
Volcanic ash is a hazard associated with volcanoes. Knowing an ash cloud’s location is essential for minimising the hazard. This includes knowing the height. This study adapted a well-known technique for obtaining the height of meteorological clouds, known as CO2 slicing, for volcanic ash. Modelled data were used to refine the method and then demonstrate that the technique could work for volcanic ash. It was then successfully applied to data from the Eyjafjallajökull and Grímsvötn eruptions.
Wangshu Tan, Gang Zhao, Yingli Yu, Chengcai Li, Jian Li, Ling Kang, Tong Zhu, and Chunsheng Zhao
Atmos. Meas. Tech., 12, 3825–3839,Short summary
A new method to retrieve CCN number concentrations using multiwavelength Raman lidars is proposed. The method implements hygroscopic enhancements of backscatter and extinction with relative humidity to represent particle hygroscopicity. The retrieved CCN number concentrations are in good agreement with theoretical calculated values. Sensitivity tests indicate that retrieval error in CCN arises mostly from uncertainties in extinction coefficients and RH profiles.
Sung-Kyun Shin, Matthias Tesche, Youngmin Noh, and Detlef Müller
Atmos. Meas. Tech., 12, 3789–3803,Short summary
This study proposes an aerosol-type classification based on parameters from the AErosol RObotic NETwork (AERONET) version 3 level 2.0 inversion product that describe light depolarization and absorption properties of atmospheric particles. We compare our classification with an earlier method and find that the new approach allows for a refined classification of mineral dust that occurs as a mixture with other absorbing aerosols.
Sieglinde Callewaert, Sophie Vandenbussche, Nicolas Kumps, Arve Kylling, Xiaoxia Shang, Mika Komppula, Philippe Goloub, and Martine De Mazière
Atmos. Meas. Tech., 12, 3673–3698,Short summary
This article presents the updated MAPIR algorithm, which uses infrared satellite data to obtain the global 3-D distribution of mineral aerosols. A description of the method together with its technical improvements is given. Additionally, a 10-year data set was generated and used to evaluate this new algorithm against AERONET, CALIOP, CATS and two ground-based lidar stations. We have shown that the new MAPIR algorithm provides reliable aerosol optical depth and dust layer mean altitude profiles.
Andrew M. Sayer, N. Christina Hsu, Jaehwa Lee, Woogyung V. Kim, Sharon Burton, Marta A. Fenn, Richard A. Ferrare, Meloë Kacenelenbogen, Samuel LeBlanc, Kristina Pistone, Jens Redemann, Michal Segal-Rozenhaimer, Yohei Shinozuka, and Si-Chee Tsay
Atmos. Meas. Tech., 12, 3595–3627,Short summary
Aerosols are small particles in the atmosphere such as dust or smoke. They are routinely monitored by satellites due to their importance for climate and air quality. However aerosols above clouds are more difficult to monitor. This study describes an improvement to a technique to monitor light-absorbing aerosols above clouds from four Earth-orbiting satellite instruments. The improved method is evaluated using data from the ORACLES field campaign, which measured these aerosols from aircraft.
Xiaoguang Xu, Jun Wang, Yi Wang, Jing Zeng, Omar Torres, Jeffrey S. Reid, Steven D. Miller, J. Vanderlei Martins, and Lorraine A. Remer
Atmos. Meas. Tech., 12, 3269–3288,Short summary
Detecting aerosol layer height from space is challenging. The traditional method relies on active sensors such as lidar that provide the detailed vertical structure of the aerosol profile but is costly with limited spatial coverage (more than 1 year is needed for global coverage). Here we developed a passive remote sensing technique that uses backscattered sunlight to retrieve smoke aerosol layer height over both water and vegetated surfaces from a sensor 1.5 million kilometers from the Earth.
Chengzhi Xing, Cheng Liu, Shanshan Wang, Qihou Hu, Haoran Liu, Wei Tan, Wenqiang Zhang, Bo Li, and Jianguo Liu
Atmos. Meas. Tech., 12, 3289–3302,Short summary
Ground-based MAX-DOAS has been utilized for the remote sensing of aerosol and trace gases for more than 10 years. Here we developed a new method to determine the aerosol optical properties, including scattering and absorption, from multiple-wavelength O4 absorptions from ground-based MAX-DOAS observations, which were validated well by other independent instruments at low elevations. It is beneficial to obtain the vertical profiles of aerosol properties using multiple elevations.
Jianglong Zhang, Shawn L. Jaker, Jeffrey S. Reid, Steven D. Miller, Jeremy Solbrig, and Travis D. Toth
Atmos. Meas. Tech., 12, 3209–3222,Short summary
Using nighttime observations from the Visible Infrared Imager Radiometer Suite (VIIRS) Day/Night band (DNB), the characteristics of artificial light sources are evaluated as functions of observation conditions, and incremental improvements are documented on nighttime aerosol retrievals on a regional scale. Results from the study indicate the potential of this method to begin filling critical gaps in diurnal aerosol optical thickness information at both regional and global scales.
Abdou, W. A., Martonchik, J. V., Kahn, R. A., West, R. A., and Diner, D. J.: A modified linear-mixing method for calculating atmospheric path radiances of aerosol mixtures, J. Geophys. Res., 102, 16883–16888, 1997.
Ahmad, Z. and Fraser, R. S.: An iterative radiative transfer code for ocean-atmosphere systems, J. Atmos. Sci., 39, 656–665, 1982.
Berk, A., Anderson, G. P., Bernstein, L. S., Acharya, P. K., Dothe, H., Matthew, M. W., Adler-Golden, S. M., Chetwynd, J. H., Richtsmeier, S. C., Pukall, B., Allred, C. L., Jeong, L. S., and Hoke, M. L.: MODTRAN4 Radiative Transfer Modeling for Atmospheric Correction, SPIE Proceeding on Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research III, 3756, 348–353, 1999.
Berk, A., Anderson, G. P., Acharya, P. K., Hoke, M. L., Chetwynd, J. H., Bernstein, L. S., Shettle, E. P., Matthew, M. W., and Adler-Golden, S. M.: MODTRAN4 Version 3 Revision 1 User's Manual, Air Force Research Laboratory, Space Vehicles Directorate, Air Force Materiel Command, Hanscom AFB, MA 01731-3010, Hanscom, 2003.
Bevan, S. L., North, P. R. J., Grey, W. M. F., Los, S. O., and Plummer, S. E.: Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought, J. Geophys. Res., 114, D09204, https://doi.org/10.1029/2008JD01111, 2009.
Cox, C. and Munk, W.: Measurements of the roughness of the sea surface from photographs of the Sun's glitter, J. Opt. Soc. Am., 44, 838–850, 1954.
Davies, W. H., North, P. R. J., Grey, W. M. F., and Barnsley, M. J.: Improvements in aerosol optical depth estimation using multi-angle CHRIS/PROBA images, IEEE T. Geosci. Remote Sens., 48, 18–24, 2010.
Deuzé, J. L., Goloub, P., Herman, M., Marchand, A., Perry, G., Susana, S., and Tanré, D.: Estimate of the aerosol properties over the ocean with POLDER, J. Geophys. Res., 105, 15329–15346, 2000
Deuzé, J.-L., Bréon, F.-M., Devaux, C., Goloub, P., Herman, M., Lafrance, B., Maignan, F., Marchand, A., Nadaf, L., Perry, G., and Tanré, D.: Remote sensing of aerosols over land surfaces from POLDER-ADEOS 1 Polarized measurements, J. Geophys. Res., 106(D5), 4913–4926, 2001.
Diner, D. J., Beckert, J. C., Reilly, T. H., Bruegge, C. J., Conel, J. E., Kahn, R., Martonchik, J. V., Ackerman, T. P., Davies, R., Gerstl, S. A. W., Gordon, H. R., Muller, J.-P., Myneni, R., Sellers, R. J., Pinty, B., and Verstraete, M. M.: Multiangle Imaging SpectroRadiometer (MISR) description and experiment overview, IEEE T. Geosci. Remote , 36, 1072–1087, 1998.
Dubovik, O. and King, M. D.: A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res., 105, 20673–20696, 2000.
Dubovik, O., Holben, B., Eck, T. F., Smirnov, A., Kaufman, Y., Kind, M., Tanre, D., and Slutsker, I.: Variability and optical properties of key aerosol types observed in worldwide locations, J. Atmos. Sci., 59, 590–608, 2002.
Dubovik, O.: Optimization of numerical inversion in photopolarimetric remote sensing, in: Photopolarimetry in Remote Sensing, edited by: Videen, G., Yatskiv, Y., and Mishchenko, M., Kluwer Academic Publishers, Dordrecht, Netherlands, 65–106, 2004.
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang, P., Eck, T. F., Volten, H., Munoz, O., Veihelmann, B., van der Zander, W. J., Leon, J.-F., Sorokin, M., and Slutsker, I.: Application of light scattering by spheroids for accounting for particle non-sphericity in remote sensing of desert dust, J. Geophys. Res., 111, D11208, https://doi.org/10.1029/2005JD006619d, 2006.
Dubovik, O., Lapyonok, T., Kaufman, Y. J., Chin, M., Ginoux, P., Kahn, R. A., and Sinyuk, A.: Retrieving global aerosol sources from satellites using inverse modeling, Atmos. Chem. Phys., 8, 209–250, https://doi.org/10.5194/acp-8-209-2008, 2008.
Dubovik, O., Herman, M., Holdak, A., Lapyonok, T., Tanré, D., Deuzé, J.-L., Ducos, F., Sinyuk, A., and Lopatin, A.: Development of statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations, Atmos. Meas. Tech. Discuss., in preparation, 2010.
Emde, C., Buras, R., Mayer, B., and Blumthaler, M.: The impact of aerosols on polarized sky radiance: model development, validation, and applications, Atmos. Chem. Phys., 10, 383–396, https://doi.org/10.5194/acp-10-383-2010, 2010.
Evans, K. F. and Stephens, G. L.: A new polarized radiative transfer model, J. Quant Spectrosc. Ra., 46, 413–423, 1991.
Grant, I. P. and Hunt, G. E.: Solution of radiative transfer problems using the invariant Sn method, Mon. Not. R. Astron. Soc., 141, 27–41, 1968.
Grey, W. M. F., North, P. R. J., and Los, S. O.: Computationally efficient method for retrieving aerosol optical depth from ATSR-2 and AATSR data, Appl. Optics, 45(12), 2786–2795, 2006a.
Grey, W. M. F., North, P. R. J., Los, S. O., and Mitchell, R. M.: Aerosol optical depth and land surface reflectance from multi-angle AATSR measurements: Global validation and inter-sensor comparisons, IEEE T. Geosci. Remote , 44(8), 2184–2197, 2006b.
Grey, W. M. F. and North, P. R. J.: Aerosol Optical Depth from multi-view-angle AATSR satellite observations, in: Satellite Aerosol Remote Sensing over Land, edited by: Kokhanovsky, A. A. and de Leeuw, G., Springer-Praxis, Berlin, 101–134, ISBN: 978-3-540-69396-3, 2009.
Hasekamp, O. P. and Landgraf, J.: Retrieval of aerosol properties over land surfaces: capabilities of multiple-viewing-angle intensity and polarization measurements, Appl. Optics, 46, 3332–3344, 2007.
Herman, M., Deuzé, J. L., Marchand, A., Roger, B., and Lallart, P.: Aerosol remote sensing from POLDER/ADEOS over the ocean: Improved retrieval using a nonspherical particle model, J. Geophys. Res, 110, D10S02, https://doi.org/ 10.1029/2004JD0044798, 2005.
Herman, M., Deuzé, J. L., Devaux, C., Goloub, P., Bréon, F. M., and Tanré, D.: Remote sensing of aerosols over land surfaces including polarization measurements: applications to POLDER measurements, J. Geophys. Res., 102, 17039–17050, 1997.
Herman, M., Deuzé, J.-L., Marchand, A., Roger, B., and Lallart, P.: Aerosol remote sensing from POLDER//ADEOS over the ocean: Improved retrieval using a nonspherical particle model, J. Geophys. Res., 110, D10S02, https://doi.org/10.1029/2004JD004798, 2005.
Hess, M., Koepke, P., and Schult, I.: Optical properties of aerosols and clouds: The software package OPAC, Bull. Am. Meteorol. Soc., 79, 831–944, 1998.
Hsu, N. C., Tsay, S. C., King, M. D., and Herman, J. R.: Deep blue retrievals of Asian aerosol properties during ACE-Asia, IEEE T. Geosci. Remote, 44, 3180–3195, 2006.
Kahn, R., Banerjee, P., and McDonald, D.: Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean, J. Geophys. Res., 106, 18219–18238, 2001.
Kahn, R. A., Garay, M. J., Nelson, D. L., Yau, K. K., Bull, M. A., Gaitley, B. J., Martonchik, J. V., and Levy, R. C.: Satellite-derived aerosol optical depth over dark water from MISR and MODIS: Comparisons with AERONET and implications for climatological studies, J. Geophys. Res., 112, D18205, https://doi.org/10.1029/2006JD008175, 2007.
Kahn, R. A., Nelson, D. L., Garay, M. J., Levy, R. C., Bull, M. A., Diner, D. J., Martonchik, J. V., Paradise, S. R., Hansen, E. G., and Remer, L. A.: MISR aerosol product attributes, and statistical comparisons with MODIS, IEEE T. Geosci. Remote, 47, 4095–4114., 2009.
Katsev, I. L., Prikhach, A. S., Zege, E. P., Ivanov, A. P., and Kokhanovsky, A. A.: Iterative procedure for retrieval of spectral aerosol optical thickness and surface reflectance from satellite data using fast radiative transfer code and its application to MERIS measurements, in: Satellite Aerosol Remote Sensing over Land, edited by: Kokhanovsky, A. A. and de Leeuw, G., Springer-Praxis, Berlin, 101–134, 2009.
Kaufman, Y. J., Tanré, D., Gordon H. R., Nakajima T., Lenoble J., Frouin R., Grassl H., Herman B.M., King M., and Teillet P. M.: Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer, J. Geophys. Res., 102(D14), 17051–17067, 1997.
Keller, J., Bojinski, S., and Prevot, A. S. H.: Simultaneous retrieval of aerosol and surface optical properties using data of the Multi-angle Imaging SpectroRadiometer (MISR), Remote Sens. Environ., 107, 120–137, 2007.
Koepke, P.: Effective reflectance of the oceanic whitecaps, Appl. Optics, 23, 1816–1824, 1984.
Kokhanovsky, A. A., Breon, F.-M., Cacciari, A., Carboni, E., Diner, D., Di Nicolantonio, W., Grainger, R. G., Grey, W. M. F., Holler, R., Lee, K.-H., Li, Z., North, P. R. J., Sayer, A. M., Thomas, G. E., and von Hoyningen-Huene, W.: Aerosol remote sensing over land: a comparison of satellite retrievals using different algorithms and instruments, Atmos. Res., 85, 372–294, 2007.
Kokhanovsky, A. A.: Aerosol Optics, Springer-Praxis, Berlin, 2008.
Kokhanovsky, A. A. and de Leeuw, G. (Eds.): Satellite Aerosol Remote Sensing over Land, Springer-Praxis, Berlin, 2009.
Kokhanovsky, A. A., Cornet, C., Duan, M., Emde, C., Katsev, I. L., Labonnote, L.-C., Min Q., Nakajima T., Ota Y., Prikhach, A. P., Rozanov, V. V., Yokota, T., and Zege, E. P.: Benchmark results in vector radiative transfer, JQSRT, Journal of Quantitative Spectroscopy and Radiative Transfer, 111, 1931–1946, 2010
Lee, K. H., Li, Z., Kim, Y. J., and Kokhanovsky, A. A.: Atmospheric aerosol monitoring from satellite observations: a history of three decades, in Atmospheric and Biological Environmental Monitoring, edited by: Kim, Y. J., Platt, U., Gu, M. B., and Iwahashi, H., Springer, Berlin, 13–38, 2009.
Lenoble, J., Herman, M., Deuzé, J. L., Lafrance, B., Santer, R., and Tanré, D.: A successive order of scattering code for solving the vector equation of transfer in the Earth's atmosphere with aerosols, J. Quant Spectrosc. Ra., 107, 479–507, 2007.
Levenberg, K.: A method for the solution of certain non-linear problems in least-squares, Q. Appl. Math., 2, 164–168, 1944.
Levy, R. C., Remer, L., Mattoo, S., Vermote, E., and Kaufman, Y. J.: Second- generation algorithm for retrieving aerosol properties over land from MODIS spectral reflectance, J. Geophys. Res., 112, D13211, https://doi.org/10.1029/2006JD007811, 2007.
Levy, R. C.: The dark-land MODIS collection 5 aerosol retrieval: algorithm development and product evaluation, in: Satellite Aerosol Remote Sensing over Land, edited by: Kokhanovsky, A. A. and de Leeuw, G., Springer-Praxis, Berlin, 19–68, 2009.
Liu, L. and Mishchenko, M. I.: Toward unified satellite climatology of aerosol properties: Direct comparisons of advanced level 2 aerosol products, J. Quant Spectrosc. Ra., 109, 2376–2385, 2008.
Li, Z., Zhao, X., Kahn, R., Mishchenko, M., Remer, L., Lee, K.-H., Wang, M., Laszlo, I., Nakajima, T., and Maring, H.: Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective, Ann. Geophys., 27, 2755–2770, https://doi.org/10.5194/angeo-27-2755-2009, 2009.
Marquardt, D. R.: An algorithm for the least-squares estimation of nonlinear parameters, SIAM J. Appl. Math., 11, 431–441, 1963.
Martonchik, J. V., Diner, D. J., Kahn, R., Verstraete, M. M., Pinty, B., Gordon, H. R., and Ackerman, T. P.: Techniques for the retrieval of aerosol properties over land and ocean using multiangle data, IEEE T. Geosci. Remote, 36, 1212–1227, 1998.
Mishchenko, M. and Travis, L.: Satellite retrieval of aerosol properties over the ocean using polarization as well as intensity of reflected sunlight, J. Geophys. Res., 102(D14), 16989–17013, 1997.
Mishchenko, M. I., Cairns, B., Kopp, G., Schueler, C. F., Fafaul, B. A., Hansen, J. E., Hooker, R. J., Itchkawich, T., Maring, H. B., and Travis, L. D.: Precize and accurate monitoring of terrestrial aerosols and total solar irradiance: introducing the Glory mission, Bull. Am. Meteorol. Soc., 88, 677–691, 2007.
Mishchenko, M. I., Geogdzhayev, I. V., Liu, L., Lacis, A. A., Cairns, B., and Travis, L. D.: Toward unified satellite climatology of aerosol properties: What do fully compatible MODIS and MISR aerosol pixels tell us?, J. Quant. Spectrosc. Ra., 110, 402–408, 2009.
Nadal, F. and Bréon, F. M.: Parameterization of surface polarized reflectance derived from POLDER spaceborne measurements, IEEE T. Geosci. Remote, 37, 1709–1718, 1999.
NASA/ASDC: MISR Data and Information, http://eosweb.larc.nasa.gov/, 2002.
North, P. R. J.: Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR-2 dual-angle imagery: operational method and validation, J. Geophys. Res., 107(D12), https://doi.org/10.1029/2000JD000207, 1–11, 2002.
North, P. R. J., Briggs, S. A., Plummer, S. E., and Settle, J. J.: Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multi-angle imagery, IEEE T. Geosci. Remote, 37(1), 526–537, 1999.
Ota, Y., Higurashi, A., Nakajima, T., and Yokota, T.: Matrix formulations of radiative transfer including the polarization effect in a coupled atmosphere-ocean system, Journal of Quantitative Spectroscopy and Radiative Transfer, 111, 878–894, 2010.
Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote, E., and Holben, B. N.: The MODIS aerosol algorithm, products, and validation, J. Atmos. Sci., 62, 947–973, 2005.
Rodgers, C. D.: Inverse Methods for Atmospheric Sounding: Theory and Practice, Series on Atmospheric, Oceanic and Planetary Physics, Vol. 2, World Scientific, Singapour, 2000.
Rozanov, A. A., Rozanov, V. V., Buchwitz, M., Kokhanovsky, A. A., Burrows, J. P.: SCIATRAN 2.0-a new radiative transfer model for geophysical applications in the 175–2400 nm spectral range, Adv. Space Res., 36, 1015–1019, 2005.
Rozanov, V. V. and Kokhanovsky, A. A.: The solution of the vector radiative transfer equation using the discrete ordinates technique: selected applications, Atmos. Res., 79, 241–265, 2006.
Schutgens, N. A. J., Tilstra, L. G., Stammes, P., and Bréon, F.-M.: On the relationship between Stokes parameters Q and U of atmospheric ultraviolet/visible/near-infrared radiation, J. Geophys. Res., 109, D09205, https://doi.org/10.1029/2003JD004081, 2004.
Sinuyk, A., Dubovik, O., Holben, B. N., Eck, T. F., Breon, F.-M., Martonchik, J., Kahn, R., Diner, D. J., Vermote, E. F., Roger, J.-C., Lapyonok, T., and Slutser, I.: Simultaneous retrieval of aerosol and surface properties from a combination of AERONET and satellite data, Remote Sens. Environ., 107, https://doi.org/10.1016/j.rse.2006.07.02, 90–108, 2007.
Salomonson, V. V., Barnes, W. L., Maymon, P. W., Montgomery, H. E., and Ostrow, H.: MODIS, advanced facility instrument for studies of the Earth as a system, IEEE T. Goesci. Remote Sens., 27, 145–153, 1989.
Stamnes, K., Tsay, S.-C., Wiscombe, W., and Jayaweera, K.: Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting later media, Appl. Optics, 27, 2502–2509, 1988.
Tanre, D., Kaufman, Y. J., Herman M., and Mattoo, S.: Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances, J. Geophys. Res., 102(D14), 16971–16988, 1997.
Thomas, G. E., Poulsen, C. A., Sayer, A. M., Marsh, S. H., Dean, S. M., Carboni, E., Siddans, R., Grainger, R. G., and Lawrence, B. N.: The GRAPE aerosol retrieval algorithm, Atmos. Meas. Tech., 2, 679–701, https://doi.org/10.5194/amt-2-679-2009, 2009.
Tynes, H., Kattawar, G. W., Zege, E. P., Katsev, I. L., Prikhach, A. S., and Chaikovskaya, L. I.: Monte Carlo and multicomponent approximation methods for vector radiative transfer by use of effective Mueller matrix calculations, Appl. Optics, 40, 400–412, 2001.
Vermote, E. F., Tanre, D., Deuze, J. L., Herman, M., Mocrette, J. J.: Second simulation of the satellite signal in the solar spectrum, 6S, an overview, IEEE T. Geosci. Remote, 35, 675–686, 1997.
Volten, H., Munoz, O., Rol, E., de Haan, J. F., Vassen, W., and Hovenier, J. W.: Scattering matrices of mineral aerosol particles at 441.6 nm and 632.8 nm, J. Geophys. Res., 106(D15), 17375–17401, 2001.
von Hoyningen-Huene, W., Freitag, M., and Burrows, J. B.: Retrieval of aerosol optical thickness over land surfaces from top-of-atmosphere radiance, J. Geophys. Res., 108(D9), 4260, https://doi.org/10.1029/2001JD002018, 2003.
Wang, M. and Gordon, H. R.: Radiance reflected from the ocean-atmosphere system : Synthesis from individual components of the aerosols size distribution, Appl. Optics, 33. 7088–7095, 1994.
Wanner, W., Strahler, A., Hu, B., Lewis, P., Muller, J., Li, X., Schaaf, C. B., and Barnsley, M.: Global retrieval of bidirectional reflectance and albedo over land from EOS MODIS and MISR data: Theory and algorithm, J. Geophys. Res., 102, 17143–17161, 1997.
WCP-112: A Preliminary Cloudless Standard Atmosphere for Radiation Computation, World Meteorological Organization, Geneva, 1986.
Wiscombe, W.: Improved Mie scattering algorithms, Appl. Optics, 19, 1505–1509, 1980.
Yang, P. and Liou, K. N.: Geometric-optics-integral-equation method for light scattering by nonspherical ice crystals, Appl. Optics, 35, 6568–6584, 1996.
Zege, E. P., Katsev, I. L., and Polonsky, I. N.: Multicomponent approach to light propagation in clouds and mists, Appl. Optics, 32, 2803–2812, 1993.
Zege, E. P. and Chaikovskaya, L. I.: New approach to the polarized radiative transfer problem, J. Quant. Spectrosc. Ra., 55, 19–31, 1996.