Review
Environmental Sciences
Yidan Si, Qifeng Lu, Xingying Zhang, Xiuqing Hu, Fu Wang, Lei Li, Songyan Gu
Summary: This paper introduces the common technique of using satellite observation data to retrieve atmospheric pollution parameters and summarizes the new developments in detecting aerosol parameters with multi-angle and/or polarized remote sensing observation instruments. The research status of aerosol characteristics in recent years is discussed from the perspective of airborne, space-borne, and ground-based detections, introducing the advancements in data set accuracy evaluation, inversion algorithm improvement, and product application.
ATMOSPHERIC ENVIRONMENT
(2021)
Review
Meteorology & Atmospheric Sciences
A. Marshak, A. Ackerman, A. M. da Silva, T. Eck, B. Holben, R. Kahn, R. Kleidman, K. Knobelspiesse, R. Levy, A. Lyapustin, L. Oreopoulos, L. Remer, O. Torres, T. Varnai, G. Wen, J. Yorks
Summary: This paper reviews the current state of knowledge of aerosol properties near clouds and quantitatively compares them with aerosols far from clouds. It discusses the correlation (and anticorrelation) between proximity to cloud and aerosol properties, demonstrates retrieval artifacts near clouds, and describes possible corrections for near-cloud enhancement in remote sensing retrievals. This study is timely in view of science definition studies for NASA's Aerosol, Cloud, Convection and Precipitation (ACCP) mission, which aims to directly link aerosol properties to nearby clouds.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Environmental Sciences
Kalliopi Artemis Voudouri, Konstantinos Michailidis, Nikolaos Siomos, Anthi Chatzopoulou, Georgios Kouvarakis, Nikolaos Mihalopoulos, Paraskevi Tzoumaka, Apostolos Kelessis, Dimitrios Balis
Summary: Two measurement campaigns were conducted in Thessaloniki to study aerosol properties, with biomass burning aerosols being the predominant type. Clean continental aerosols, dust layers, and mixtures with urban particles were also detected. Biomass burning layers were associated with high BC concentration and Fine Mode Fraction values.
Article
Environmental Sciences
Minqi Hu, Yuchao Zhang, Ronghua Ma, Kun Xue, Zhigang Cao, Qiao Chu, Yuanyuan Jing
Summary: A new algorithm for measuring algal biomass in Lake Chaohu based on MODIS images is proposed and validated in this study. The algorithm, utilizing remote-sensing reflectance and empirical data, shows high measurement accuracy for biomass both within and outside the euphotic zone.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Review
Environmental Sciences
Farzane Mohseni, Fatemeh Saba, S. Mohammad Mirmazloumi, Meisam Amani, Mehdi Mokhtarzade, Sadegh Jamali, Sahel Mahdavi
Summary: This paper reviews the application of remote sensing techniques in ocean water quality (OWQ) monitoring, introducing common OWQ parameters and monitoring techniques. The study finds that chlorophyll-a and colored dissolved organic matter are the dominant parameters for OWQ monitoring, and data from optical and passive microwave sensors are effective in estimating OWQ parameters.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Lina Davulien, Lucja Janicka, Agne Minderyte, Audre Kalinauskaite, Patryk Poczta, Maciej Karasewicz, Afwan Hafiz, Daria Pashneva, Vadimas Dudoitis, Kamile Kandrotaite, Darius Valiulis, Christine Boeckmann, Dirk Schuettemeyer, Iwona S. Stachlewska, Steigvile Bycenkiene
Summary: This study emphasizes the importance of conducting comprehensive studies of atmospheric aerosol particles using information from multiple complementary sensors. By combining active and passive remote sensing data with in-situ observations, a comprehensive study of aerosol distribution and impact of biomass burning on air quality and optical properties can be achieved. The analysis of different episodes based on measured concentrations and wind direction reveals long-range transport from different source regions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Geography, Physical
Chenyang Xu, Shuangqiao Liao, Minghao Lin, Qian Yue, Jizhe Xia
Summary: Although pesticides are widely used to enhance crop yield, they are harmful to the environment and human health. This study developed a simplified plant uptake model to estimate pesticide absorption by plants from soil based on plant transpiration. Using remote sensing techniques and MODIS data, the model generated spatiotemporal patterns of pesticide contamination.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Environmental Sciences
Alessandro Damiani, Hitoshi Irie, Kodai Yamaguchi, Hossain Mohammed Syedul Hoque, Tomoki Nakayama, Yutaka Matsumi, Yutaka Kondo, Arlindo Da Silva
Summary: The study analyzed the relationship between aerosol concentration and optical properties using ground observations, showing a strong correlation between fine particulate matter AOD and PM2.5 surface concentration. The analysis found that the fAOD below 1 km better reproduced the variability of PM2.5 and resulted in a linear relationship.
Article
Environmental Sciences
Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev
Summary: This article introduces a method for evaluating and monitoring flood events using remote sensing and artificial intelligence. By combining multispectral and radar data and utilizing deep neural networks, the depth and volume of the flood can be estimated, improving the accuracy and speed of flood damage assessments.
Article
Geochemistry & Geophysics
Fuchao Liu, Fan Yi, Yun He, Zhenping Yin, Yunpeng Zhang, Changming Yu
Summary: This work presents a spectrally resolved Raman lidar for simultaneous measurement of volume backscattering coefficient spectra of atmospheric three-phase water and fluorescent aerosols. The lidar emits laser light and records both N-2 Raman echoes and spectral signals in a modified spectral range. By defining normalized spectra, a unique spectra decomposition approach is developed for retrieval of normalized spectra components of different substances. This study has the potential to accurately profile atmospheric water vapor and cloud liquid/ice water.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Ali A. Attiya, Brian G. Jones
Summary: This study examines the characteristics of smoke aerosols and air quality levels during the extensive bushfires in the Sydney area in November and December 2019. The research finds that the smoke originates from bushfires in the northwest, southwest, and northwest regions of Sydney, and is transported towards the east coast of Australia and the Pacific Ocean.
Article
Optics
Feng Xu, David J. Diner
Summary: The study developed a two-step retrieval approach using the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) to retrieve total precipitable water vapor (PWV) abundance. Testing with 27 datasets showed a mean percentage difference of 8.6% against AERONET reference data for retrieved total PWV amount.
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2021)
Review
Environmental Sciences
Haibo Yang, Jialin Kong, Huihui Hu, Yao Du, Meiyan Gao, Fei Chen
Summary: Water pollution is a serious problem affecting water environments, resources, and human health. Remote sensing technology provides temporal and spatial advantages for water quality monitoring, but faces challenges in atmospheric correction, data resolution, and retrieval models.
Article
Environmental Sciences
Donghui Shi, Yishao Shi, Qiusheng Wu
Summary: This study proposed a multidimensional assessment framework for evaluating water provisioning ecosystem services and applied it to assess lake water ecosystem services in Minnesota. The findings showed degradation in water provisioning ecosystem services over 1998-2018, with different levels of severity in different regions, and a greater impact of human activities compared to climate changes. The results can help policymakers prioritize protection, conservation, and restoration of lake ecosystems and the framework can be adapted for evaluating ecosystem services in other regions.
Article
Environmental Sciences
Jawad T. T. Al-Bakri, Guido D'Urso, Alfonso Calera, Eman Abdalhaq, Maha Altarawneh, Armin Margane
Summary: This study demonstrates the use of remote sensing methods to improve agricultural water management in Jordan by mapping irrigated areas and irrigation water consumption. The study applied digital processing and classification methods on satellite data to derive accurate maps of irrigated areas. Relationships between vegetation index and crop coefficient were used to map evapotranspiration, and these estimates were consistent with remotely sensed data. The study identified hotspots where shifts in evapotranspiration and groundwater abstraction were observed, highlighting the issues of illegal abstraction and incorrect metering of groundwater. The results emphasized the importance of remote sensing in providing updated figures on groundwater abstraction and forecasts for future irrigation water consumption.
Article
Meteorology & Atmospheric Sciences
W. Lin, L. Bi, F. Weng, Z. Li, O. Dubovik
Summary: A comprehensive dust-particle geometry model is crucial for accurate computations in radiative transfer simulations and remote sensing applications. This study introduces a superspheroidal model for simulating polarized radiation at TOA under dusty-sky conditions and finds that it outperforms the spheroidal model with an additional degree of freedom. The concave superspheroidal model with large roundness parameters shows favorable performances in fitting the angular distribution of polarized radiance, suggesting its potential applicability for polarized remote sensing applications.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Optics
Cheng Chen, Oleg Dubovik, Gregory L. Schuster, David Fuertes, Yasjka Meijer, Jochen Landgraf, Yana Karol, Zhengqiang Li
Summary: The study combines AERONET observations with MERRA-2 wind speed data to investigate the spatial variability of ambient aerosol. The findings suggest that a 4 km spatial resolution for MAP sensors is sufficient for capturing the main features of aerosol variability required for the CO2M mission.
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2021)
Article
Environmental Sciences
Dimitra Konsta, Alexandra Tsekeri, Stavros Solomos, Nikolaos Siomos, Anna Gialitaki, Eleni Tetoni, Anton Lopatin, Philippe Goloub, Oleg Dubovik, Vassilis Amiridis, Panagiotis Nastos
Summary: By utilizing the GRASP algorithm to analyze aerosol properties during a Saharan dust episode observed in Crete, researchers compared the results with dust concentration profiles generated by the NMME-DREAM model, revealing a significant underestimation in dust concentration. The differences between retrievals and the model suggest a promising potential for the GRASP algorithm in future studies of dust model evaluation.
Article
Meteorology & Atmospheric Sciences
Annika Vogel, Ghazi Alessa, Robert Scheele, Lisa Weber, Oleg Dubovik, Peter North, Stephanie Fiedler
Summary: This study presents a comprehensive evaluation of aerosol optical depth data from 1998 to 2019, revealing differences in data sets and highlighting model differences and observational uncertainty. While regional biases have been reduced, tau values from CMIP6 and AeroCom-III remain substantially larger than satellite products.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Maria-Angeles Lopez-Cayuela, Milagros E. Herrera, Carmen Cordoba-Jabonero, Daniel Perez-Ramirez, Clara Violeta Carvajal-Perez, Oleg Dubovik, Juan Luis Guerrero-Rascado
Summary: The aim of this study was to analyze the potential of the GRASP code to retrieve optical and microphysical properties vertically-resolved using a synergy of polarized Micro-Pulse Lidar and Sun/sky photometer observations. The focus was on the long-range transport of Canadian aged-smoke plumes observed at El Arenosillo/Huelva (Spain) from 7 to 8 September 2017. The study found that the retrieved columnar aerosol microphysical properties showed excellent agreement, while the comparisons for columnar optical properties did not yield clear conclusions due to limitations and uncertainties. Significant progress was made in obtaining vertical profiles of aerosol backscatter and extinction coefficients, plus volume concentrations, without the need for assumptions or depolarization measurements.
Article
Multidisciplinary Sciences
Cheng Chen, Oleg Dubovik, Gregory L. Schuster, Mian Chin, Daven K. Henze, Tatyana Lapyonok, Zhengqiang Li, Yevgeny Derimian, Ying Zhang
Summary: Quantitative estimations of atmospheric aerosol absorption are uncertain due to a lack of reliable global distribution information. In this study, multi-angular polarimeters are used to provide constraints on the emission of absorbing aerosol species and estimate global aerosol absorption optical depth (AAOD) and its climate effect. The findings suggest a higher AAOD than previous estimates, and the constraint provided by multi-angular polarimetry narrows the confidence interval of black carbon direct radiative forcing (BC DRF) and boosts confidence in its spatial distribution.
NATURE COMMUNICATIONS
(2022)
Correction
Environmental Sciences
Yang Ou, Lei Li, Zhengqiang Li, Ying Zhang, Oleg Dubovik, Yevgeny Derimian, Cheng Chen, David Fuertes, Yisong Xie, Anton Lopatin, Fabrice Ducos, Zongren Peng
Article
Meteorology & Atmospheric Sciences
Theano Drosoglou, Ioannis-Panagiotis Raptis, Massimo Valeri, Stefano Casadio, Francesca Barnaba, Marcos Herreras-Giralda, Anton Lopatin, Oleg Dubovik, Gabriele Brizzi, Fabrizio Niro, Monica Campanelli, Stelios Kazadzis
Summary: This study aims to evaluate the effect of NO2 absorption on the columnar properties of aerosols, including aerosol optical depth (AOD), Angstrom exponent (AE), and single scattering albedo (SSA). The researchers utilized multiannual records of AOD, AE, and SSA collected from sun photometers in the Rome area. They investigated the uncertainties introduced in aerosol retrievals by NO2 absorption using co-located spectroradiometer systems and satellite-based NO2 products. The results showed that the standard network products overestimated AOD and AE, and the correction for NO2 was more effective in areas with high NO2 pollution events.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Milagros E. Herrera, Oleg Dubovik, Benjamin Torres, Tatyana Lapyonok, David Fuertes, Anton Lopatin, Pavel Litvinov, Cheng Chen, Jose Antonio Benavent-Oltra, Juan L. Bali, Pablo R. Ristori
Summary: Understanding uncertainties in aerosol and surface property retrievals is crucial for characterizing atmospheric processes accurately. Despite challenges in characterizing error budgets, dynamic error estimates are essential for remote sensing approaches. The GRASP algorithm provides dynamic error estimates for retrieved aerosol and surface properties, considering both random and systematic uncertainties, aiding in optimizing observation schemes and retrieval set-ups.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Meteorology & Atmospheric Sciences
Alireza Moallemi, Rob L. Modini, Tatyana Lapyonok, Anton Lopatin, David Fuertes, Oleg Dubovik, Philippe Giaccari, Martin Gysel-Beer
Summary: Polar nephelometers are useful instruments for measuring light scattered by aerosol particles, providing important information about aerosol properties. Using Bayesian information content analysis, it has been found that even basic polar nephelometers can provide informative measurements, and adding multiwavelength and/or polarimetric measurement capabilities increases the information content. Truncation at extreme angles can decrease the information content, but more comprehensive measurements can mitigate this effect. The number and placement of angular measurements also have an impact on the information content.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Thomas Druge, Pierre Nabat, Marc Mallet, Martine Michou, Samuel Remy, Oleg Dubovik
Summary: This study implements BrC aerosols in a climate model and analyzes their radiative and climatic effects. The results show that the inclusion of BrC improves the estimation of aerosol optical properties and has a positive impact on the climate in Africa and South America.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Meteorology & Atmospheric Sciences
Shikuan Jin, Yingying Ma, Cheng Chen, Oleg Dubovik, Jin Hong, Boming Liu, Wei Gong
Summary: In this study, the performance of aerosol optical depth (AOD) retrievals from the DPC/GaoFen-5 using the GRASP algorithm was evaluated globally for the first time. The results showed that the DPC GRASP/Model scheme achieved good performance and had high correlation and accuracy compared to AERONET observations.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Meteorology & Atmospheric Sciences
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Oleg Dubovik, Joel S. Schafer, Alexander Smirnov, Mikhail Sorokin
Summary: This paper discusses the history and modification of the smoothness constraints on the imaginary part of the refractive index in the AERONET retrieval algorithm to adapt to different types of aerosol absorption characteristics. The new version of the smoothness constraints significantly reduced the retrieved single-scattering albedo and spectral residual errors for brown-carbon-containing aerosols, especially at short wavelengths.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Meteorology & Atmospheric Sciences
Jean-Claude Roger, Eric Vermote, Sergii Skakun, Emilie Murphy, Oleg Dubovik, Natacha Kalecinski, Bruno Korgo, Brent Holben
Summary: This study proposes and implements a framework for developing an aerosol model using their microphysical properties, which are derived from the global AERONET. The research finds that these properties can be used to validate surface reflectance records over land and have an impact on the uncertainty of surface reflectance.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Sujung Go, Alexei Lyapustin, Gregory L. Schuster, Myungje Choi, Paul Ginoux, Mian Chin, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, Arlindo da Silva, Brent Holben, Jeffrey S. Reid
Summary: The iron-oxide content of dust in the atmosphere, specifically hematite and goethite, was retrieved using measurements from the EPIC instrument on the DSCOVR satellite and the MAIAC algorithm. Comparisons were made with in situ measurements and published data, showing variations within the expected ranges. The study revealed differences in iron-oxide concentrations in dust particles from different regions, which will be valuable for dust shortwave DRE studies and climate modeling.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
