Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-575-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-575-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
Yanyu Wang
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Rui Lyu
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Xin Xie
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Ze Meng
School of Oceanography, Shanghai Jiao Tong University, Shanghai,
200030, China
Meijin Huang
Fujian Meteorological Observatory, Fuzhou, 350001, China
Junshi Wu
Shanghai Meteorological Service, Shanghai, 200030, China
Haizhen Mu
Shanghai Meteorological Service, Shanghai, 200030, China
Qiu-Run Yu
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology,
Nanjing, 210044, China
Qianshan He
CORRESPONDING AUTHOR
Shanghai Meteorological Service, Shanghai, 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030,
China
Tiantao Cheng
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, Institute of
Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Shanghai Institute of Eco-Chongming (SIEC), Shanghai, 200062, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
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Related subject area
Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties
MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm
Multi-section reference value for the analysis of horizontally scanning aerosol lidar observations
Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations
Quantifying particulate matter optical properties and flow rate in industrial stack plumes from the PRISMA hyperspectral imager
Aerosol retrieval over snow using the RemoTAP algorithm
Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign
Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models
Derivation of aerosol fluorescence and water vapor Raman depolarization ratios from lidar measurements
Linear polarization signatures of atmospheric dust with the SolPol direct-sun polarimeter
Retrieval of aerosol properties from zenith sky radiance measurements
An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data
Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements
Cloud top heights and aerosol layer properties from EarthCARE lidar observations: the A-CTH and A-ALD products
Influence of electromagnetic interference on the evaluation of lidar-derived aerosol properties from Ny-Ålesund, Svalbard
Global 3-D distribution of aerosol composition by synergistic use of CALIOP and MODIS observations
Aerosol optical depth retrieval from the EarthCARE Multi-Spectral Imager: the M-AOT product
Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager
Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals
An explicit formulation for the retrieval of the overlap function in an elastic and Raman aerosol lidar
The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products
SAGE III/ISS aerosol/cloud categorization and its impact on GloSSAC
Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia
Sensitivity studies of nighttime top-of-atmosphere radiances from artificial light sources using a 3-D radiative transfer model for nighttime aerosol retrievals
Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data
HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE
DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations
The impact and estimation of uncertainty correlation for multi-angle polarimetric remote sensing of aerosols and ocean color
POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
Ground-based remote sensing of aerosol properties using high-resolution infrared emission and lidar observations in the High Arctic
Long-term aerosol particle depolarization ratio measurements with Halo Doppler lidar
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
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The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water
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Atmospheric visibility inferred from continuous-wave Doppler wind lidar
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A semi-automated procedure for the emitter–receiver geometry characterization of motor-controlled lidars
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Aerosol models from the AERONET database: application to surface reflectance validation
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Athena Augusta Floutsi, Holger Baars, and Ulla Wandinger
Atmos. Meas. Tech., 17, 693–714, https://doi.org/10.5194/amt-17-693-2024, https://doi.org/10.5194/amt-17-693-2024, 2024
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We introduce an aerosol-typing scheme (HETEAC-Flex) based on lidar-derived intensive optical properties and applicable to ground-based and spaceborne lidars. HETEAC-Flex utilizes the optimal estimation method and enables the identification of up to four different aerosol components, as well as the determination of their contribution to the aerosol mixture in terms of relative volume. The aerosol components represent common aerosol types such as dust, sea salt, smoke and pollution.
James A. Limbacher, Ralph A. Kahn, Mariel D. Friberg, Jaehwa Lee, Tyler Summers, and Hai Zhang
Atmos. Meas. Tech., 17, 471–498, https://doi.org/10.5194/amt-17-471-2024, https://doi.org/10.5194/amt-17-471-2024, 2024
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We present the new Multi-Angle Geostationary Aerosol Retrieval Algorithm (MAGARA) that fuses observations from GOES-16 and GOES-17 to retrieve information about aerosol loading (at 10–15 min cadence) and aerosol particle properties (daily), all at pixel-level resolution. We present MAGARA results for three case studies: the 2018 California Camp Fire, the 2019 Williams Flats Fire, and the 2019 Kincade Fire. We also compare MAGARA aerosol loading and particle properties with AERONET.
Juseon Shin, Gahyeong Kim, Dukhyeon Kim, Matthias Tesche, Gahyeon Park, and Youngmin Noh
Atmos. Meas. Tech., 17, 397–406, https://doi.org/10.5194/amt-17-397-2024, https://doi.org/10.5194/amt-17-397-2024, 2024
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We introduce the multi-section method, a novel approach for stable extinction coefficient retrievals in horizontally scanning aerosol lidar measurements, in this study. Our method effectively removes signal–noise-induced irregular peaks and derives a reference extinction coefficient, αref, from multiple scans, resulting in a strong correlation (>0.74) with PM2.5 mass concentrations. Case studies demonstrate its utility in retrieving spatio-temporal aerosol distributions and PM2.5 concentrations.
Basudev Swain, Marco Vountas, Adrien Deroubaix, Luca Lelli, Yanick Ziegler, Soheila Jafariserajehlou, Sachin S. Gunthe, Andreas Herber, Christoph Ritter, Hartmut Bösch, and John P. Burrows
Atmos. Meas. Tech., 17, 359–375, https://doi.org/10.5194/amt-17-359-2024, https://doi.org/10.5194/amt-17-359-2024, 2024
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Gabriel Calassou, Pierre-Yves Foucher, and Jean-François Léon
Atmos. Meas. Tech., 17, 57–71, https://doi.org/10.5194/amt-17-57-2024, https://doi.org/10.5194/amt-17-57-2024, 2024
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Zihan Zhang, Guangliang Fu, and Otto Hasekamp
Atmos. Meas. Tech., 16, 6051–6063, https://doi.org/10.5194/amt-16-6051-2023, https://doi.org/10.5194/amt-16-6051-2023, 2023
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Alexandra Tsekeri, Anna Gialitaki, Marco Di Paolantonio, Davide Dionisi, Gian Luigi Liberti, Alnilam Fernandes, Artur Szkop, Aleksander Pietruczuk, Daniel Pérez-Ramírez, Maria J. Granados Muñoz, Juan Luis Guerrero-Rascado, Lucas Alados-Arboledas, Diego Bermejo Pantaleón, Juan Antonio Bravo-Aranda, Anna Kampouri, Eleni Marinou, Vassilis Amiridis, Michael Sicard, Adolfo Comerón, Constantino Muñoz-Porcar, Alejandro Rodríguez-Gómez, Salvatore Romano, Maria Rita Perrone, Xiaoxia Shang, Mika Komppula, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Diofantos Hadjimitsis, Francisco Navas-Guzmán, Alexander Haefele, Dominika Szczepanik, Artur Tomczak, Iwona S. Stachlewska, Livio Belegante, Doina Nicolae, Kalliopi Artemis Voudouri, Dimitris Balis, Athena A. Floutsi, Holger Baars, Linda Miladi, Nicolas Pascal, Oleg Dubovik, and Anton Lopatin
Atmos. Meas. Tech., 16, 6025–6050, https://doi.org/10.5194/amt-16-6025-2023, https://doi.org/10.5194/amt-16-6025-2023, 2023
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EARLINET/ACTRIS organized an intensive observational campaign in May 2020, with the objective of monitoring the atmospheric state over Europe during the COVID-19 lockdown and relaxation period. The work presented herein focuses on deriving a common methodology for applying a synergistic retrieval that utilizes the network's ground-based passive and active remote sensing measurements and deriving the aerosols from anthropogenic activities over Europe.
Meng Gao, Bryan A. Franz, Peng-Wang Zhai, Kirk Knobelspiesse, Andrew M. Sayer, Xiaoguang Xu, J. Vanderlei Martins, Brian Cairns, Patricia Castellanos, Guangliang Fu, Neranga Hannadige, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Frederick Patt, Anin Puthukkudy, and P. Jeremy Werdell
Atmos. Meas. Tech., 16, 5863–5881, https://doi.org/10.5194/amt-16-5863-2023, https://doi.org/10.5194/amt-16-5863-2023, 2023
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This study evaluated the retrievability and uncertainty of aerosol and ocean properties from PACE's HARP2 instrument using enhanced neural network models with the FastMAPOL algorithm. A cascading retrieval method is developed to improve retrieval performance. A global set of simulated HARP2 data is generated and used for uncertainty evaluations. The performance assessment demonstrates that the FastMAPOL algorithm is a viable approach for operational application to HARP2 data after PACE launch.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, William Boissiere, Mikhail Korenskiy, Nikita Kasianik, Sergey Khaykyn, and Robin Miri
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-210, https://doi.org/10.5194/amt-2023-210, 2023
Revised manuscript accepted for AMT
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Measurements of the transported smoke layers in 2023 were performed with a lidar in Lille and a 5-channel fluorescence lidar in Moscow. Results show in boundary layer, the peak of fluorescence is at 438 nm while in smoke layer it shifts to longer wavelengths. The fluorescence depolarization is typically 45% to 55%. The depolarization ratio of the water vapor channel is low (2±0.5%) in the absence of fluorescence and can be used to evaluate the contribution of fluorescence to water vapor signal.
Vasiliki Daskalopoulou, Panagiotis I. Raptis, Alexandra Tsekeri, Vassilis Amiridis, Stelios Kazadzis, Zbigniew Ulanowski, Vassilis Charmandaris, Konstantinos Tassis, and William Martin
Atmos. Meas. Tech., 16, 4529–4550, https://doi.org/10.5194/amt-16-4529-2023, https://doi.org/10.5194/amt-16-4529-2023, 2023
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Atmospheric dust particles may present a preferential alignment due to their shape on long range transport. Since dust is abundant and plays a key role to global climate, the elusive observation of orientation will be a game changer to existing measurement techniques and the representation of particles in climate models. We utilize a specifically designed instrument, SolPol, and target the Sun from the ground for large polarization values under dusty conditions, a clear sign of orientation.
Sara Herrero-Anta, Roberto Román, David Mateos, Ramiro González, Juan Carlos Antuña-Sánchez, Marcos Herreras-Giralda, Antonio Fernando Almansa, Daniel González-Fernández, Celia Herrero del Barrio, Carlos Toledano, Victoria E. Cachorro, and Ángel M. de Frutos
Atmos. Meas. Tech., 16, 4423–4443, https://doi.org/10.5194/amt-16-4423-2023, https://doi.org/10.5194/amt-16-4423-2023, 2023
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This paper shows the potential of a simple radiometer like the ZEN-R52 as a possible alternative for aerosol property retrieval in remote areas. A calibration method based on radiative transfer simulations together with an inversion methodology using the GRASP code is proposed here. The results demonstrate that this methodology is useful for the retrieval of aerosol extensive properties like aerosol optical depth (AOD) and aerosol volume concentration for total, fine and coarse modes.
Xi Chen, Ting Yang, Zifa Wang, Futing Wang, and Haibo Wang
Atmos. Meas. Tech., 16, 4289–4302, https://doi.org/10.5194/amt-16-4289-2023, https://doi.org/10.5194/amt-16-4289-2023, 2023
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Uncertainties remain great in the planetary boundary layer height (PBLH) determination from radiosonde, especially during the transition period of different PBL regimes. We combine seven existing methods along with statistical modification on gradient-based methods. We find that the ensemble method can eliminate the overestimation of PBLH and reduce the inconsistency between individual methods. The ensemble method improves the effectiveness of PBLH determination to 62.6 %.
Seyed Ali Sayedain, Norman T. O'Neill, James King, Patrick L. Hayes, Daniel Bellamy, Richard Washington, Sebastian Engelstaedter, Andy Vicente-Luis, Jill Bachelder, and Malo Bernhard
Atmos. Meas. Tech., 16, 4115–4135, https://doi.org/10.5194/amt-16-4115-2023, https://doi.org/10.5194/amt-16-4115-2023, 2023
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We used (columnar) ground-based remote sensing (RS) tools and surface measurements to characterize local (drainage-basin) dust plumes at a site in the Yukon. Plume height, particle size, and column-to-surface ratios enabled insights into how satellite RS could be used to analyze Arctic-wide dust transport. This helps modelers refine dust impacts in their climate change simulations. It is an important step since local dust is a key source of dust deposition on snow in the sensitive Arctic region.
Ulla Wandinger, Moritz Haarig, Holger Baars, David Donovan, and Gerd-Jan van Zadelhoff
Atmos. Meas. Tech., 16, 4031–4052, https://doi.org/10.5194/amt-16-4031-2023, https://doi.org/10.5194/amt-16-4031-2023, 2023
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We introduce the algorithms that have been developed to derive cloud top height and aerosol layer products from observations with the Atmospheric Lidar (ATLID) onboard the Earth Cloud, Aerosol and Radiation Explorer (EarthCARE). The products provide information on the uppermost cloud and geometrical and optical properties of aerosol layers in an atmospheric column. They can be used individually but also serve as input for algorithms that combine observations with EarthCARE’s lidar and imager.
Tim Poguntke and Christoph Ritter
Atmos. Meas. Tech., 16, 4009–4014, https://doi.org/10.5194/amt-16-4009-2023, https://doi.org/10.5194/amt-16-4009-2023, 2023
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In this work we analyze the impact of electromagnetic interference on an aerosol lidar. We found that aging transient recorders may produce a noise with fixed frequency that can be removed a posteriori.
Rei Kudo, Akiko Higurashi, Eiji Oikawa, Masahiro Fujikawa, Hiroshi Ishimoto, and Tomoaki Nishizawa
Atmos. Meas. Tech., 16, 3835–3863, https://doi.org/10.5194/amt-16-3835-2023, https://doi.org/10.5194/amt-16-3835-2023, 2023
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A synergistic retrieval method of aerosol components (water-soluble, light-absorbing, dust, and sea salt particles) from CALIOP and MODIS observations was developed. The total global 3-D distributions and those for each component showed good consistency with the CALIOP and MODIS official products and previous studies. The shortwave direct radiative effects of each component at the top and bottom of the atmosphere and for the heating rate were also consistent with previous studies.
Nicole Docter, Rene Preusker, Florian Filipitsch, Lena Kritten, Franziska Schmidt, and Jürgen Fischer
Atmos. Meas. Tech., 16, 3437–3457, https://doi.org/10.5194/amt-16-3437-2023, https://doi.org/10.5194/amt-16-3437-2023, 2023
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We describe the stand-alone retrieval algorithm used to derive aerosol properties relying on measurements of the Multi-Spectral Imager (MSI) aboard the upcoming Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) satellite. This aerosol data product will be available as M-AOT after the launch of EarthCARE. Additionally, we applied the algorithm to simulated EarthCARE MSI and Moderate Resolution Imaging Spectroradiometer (MODIS) data for prelaunch algorithm verification.
Mijin Kim, Robert C. Levy, Lorraine A. Remer, Shana Mattoo, and Pawan Gupta
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-128, https://doi.org/10.5194/amt-2023-128, 2023
Revised manuscript accepted for AMT
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The study focused on evaluating and modifying the surface reflectance parameterization (SRP) of the Dark Target (DT) algorithm for geostationary observation. When using the DT SRP with the ABIs sensor on GOES-R, artificial diurnal signatures were present in AOD retrieval. To overcome this issue, a new SRP was developed, incorporating solar zenith angle and land cover type. The revised SRP resulted in improved AOD retrieval, demonstrating reduced bias around local noon.
Theano Drosoglou, Ioannis-Panagiotis Raptis, Massimo Valeri, Stefano Casadio, Francesca Barnaba, Marcos Herreras-Giralda, Anton Lopatin, Oleg Dubovik, Gabriele Brizzi, Fabrizio Niro, Monica Campanelli, and Stelios Kazadzis
Atmos. Meas. Tech., 16, 2989–3014, https://doi.org/10.5194/amt-16-2989-2023, https://doi.org/10.5194/amt-16-2989-2023, 2023
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Aerosol optical properties derived from sun photometers depend on the optical depth of trace gases absorbing solar radiation at specific spectral ranges. Various networks use satellite-based climatologies to account for this or neglect their effect. In this work, we evaluate the effect of NO2 absorption in aerosol retrievals from AERONET and SKYNET over two stations in Rome, Italy, with relatively high NO2 spatiotemporal variations, using NO2 data from the Pandora network and the TROPOMI sensor.
Adolfo Comerón, Constantino Muñoz-Porcar, Alejandro Rodríguez-Gómez, Michaël Sicard, Federico Dios, Cristina Gil-Díaz, Daniel Camilo Fortunato dos Santos Oliveira, and Francesc Rocadenbosch
Atmos. Meas. Tech., 16, 3015–3025, https://doi.org/10.5194/amt-16-3015-2023, https://doi.org/10.5194/amt-16-3015-2023, 2023
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We derive an explicit (i.e., non-iterative) formula for the retrieval of the overlap function in an aerosol lidar with both elastic and Raman N2 and/or O2 channels used for independent measurements of aerosol backscatter and extinction coefficients. The formula requires only the measured, range-corrected elastic and the corresponding Raman signals, plus an assumed lidar ratio. We assess the influence of the lidar ratio error in the overlap function retrieval and present retrieval examples.
Abdanour Irbah, Julien Delanoë, Gerd-Jan van Zadelhoff, David P. Donovan, Pavlos Kollias, Bernat Puigdomènech Treserras, Shannon Mason, Robin J. Hogan, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 2795–2820, https://doi.org/10.5194/amt-16-2795-2023, https://doi.org/10.5194/amt-16-2795-2023, 2023
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The Cloud Profiling Radar (CPR) and ATmospheric LIDar (ATLID) aboard the EarthCARE satellite are used to probe the Earth's atmosphere by measuring cloud and aerosol profiles. ATLID is sensitive to aerosols and small cloud particles and CPR to large ice particles, snowflakes and raindrops. It is the synergy of the measurements of these two instruments that allows a better classification of the atmospheric targets and the description of the associated products, which are the subject of this paper.
Mahesh Kovilakam, Larry Thomason, and Travis Knepp
Atmos. Meas. Tech., 16, 2709–2731, https://doi.org/10.5194/amt-16-2709-2023, https://doi.org/10.5194/amt-16-2709-2023, 2023
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The paper describes SAGE III/ISS aerosol/cloud categorization and its implications on Global Space-based Stratospheric Aerosol Climatology (GloSSAC). The presence of data from the SAGE type of multi-wavelength measurements is important in GloSSAC. The new aerosol/cloud categorization method described in this paper will help retain more measurements, particularly in the lower stratosphere during and following a volcanic event and other processes.
Minseok Kim, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Yeseul Cho, Huidong Yeo, and Sang-Woo Kim
Atmos. Meas. Tech., 16, 2673–2690, https://doi.org/10.5194/amt-16-2673-2023, https://doi.org/10.5194/amt-16-2673-2023, 2023
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Aerosol height information is important when seeking an understanding of the vertical structure of the aerosol layer and long-range transport. In this study, a geometrical aerosol top height (ATH) retrieval using a parallax of two geostationary satellites is investigated. With sufficient longitudinal separation between the two satellites, a decent ATH product could be retrieved.
Jianglong Zhang, Jeffrey S. Reid, Steven D. Miller, Miguel Román, Zhuosen Wang, Robert J. D. Spurr, and Shawn Jaker
Atmos. Meas. Tech., 16, 2531–2546, https://doi.org/10.5194/amt-16-2531-2023, https://doi.org/10.5194/amt-16-2531-2023, 2023
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We adapted the spherical harmonics discrete ordinate method 3-dimentional radiative transfer model (3-D RTM) and developed a nighttime 3-D RTM capability for simulating top-of-atmosphere radiances from artificial light sources for aerosol retrievals. Our study suggests that both aerosol optical depth and aerosol plume height can be effectively retrieved using nighttime observations over artificial light sources, through the newly developed radiative transfer modeling capability.
Xavier Ceamanos, Bruno Six, Suman Moparthy, Dominique Carrer, Adèle Georgeot, Josef Gasteiger, Jérôme Riedi, Jean-Luc Attié, Alexei Lyapustin, and Iosif Katsev
Atmos. Meas. Tech., 16, 2575–2599, https://doi.org/10.5194/amt-16-2575-2023, https://doi.org/10.5194/amt-16-2575-2023, 2023
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A new algorithm to retrieve the diurnal evolution of aerosol optical depth over land and ocean from geostationary meteorological satellites is proposed and successfully evaluated with reference ground-based and satellite data. The high-temporal-resolution aerosol observations that are obtained from the EUMETSAT Meteosat Second Generation mission are unprecedented and open the door to studies that cannot be conducted with the once-a-day observations available from low-Earth-orbit satellites.
Ulla Wandinger, Athena Augusta Floutsi, Holger Baars, Moritz Haarig, Albert Ansmann, Anja Hünerbein, Nicole Docter, David Donovan, Gerd-Jan van Zadelhoff, Shannon Mason, and Jason Cole
Atmos. Meas. Tech., 16, 2485–2510, https://doi.org/10.5194/amt-16-2485-2023, https://doi.org/10.5194/amt-16-2485-2023, 2023
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We introduce an aerosol classification model that has been developed for the Earth Clouds, Aerosols and Radiation Explorer (EarthCARE). The model provides a consistent description of microphysical, optical, and radiative properties of common aerosol types such as dust, sea salt, pollution, and smoke. It is used for aerosol classification and assessment of radiation effects based on the synergy of active and passive observations with lidar, imager, and radiometer of the multi-instrument platform.
Athena Augusta Floutsi, Holger Baars, Ronny Engelmann, Dietrich Althausen, Albert Ansmann, Stephanie Bohlmann, Birgit Heese, Julian Hofer, Thomas Kanitz, Moritz Haarig, Kevin Ohneiser, Martin Radenz, Patric Seifert, Annett Skupin, Zhenping Yin, Sabur F. Abdullaev, Mika Komppula, Maria Filioglou, Elina Giannakaki, Iwona S. Stachlewska, Lucja Janicka, Daniele Bortoli, Eleni Marinou, Vassilis Amiridis, Anna Gialitaki, Rodanthi-Elisavet Mamouri, Boris Barja, and Ulla Wandinger
Atmos. Meas. Tech., 16, 2353–2379, https://doi.org/10.5194/amt-16-2353-2023, https://doi.org/10.5194/amt-16-2353-2023, 2023
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DeLiAn is a collection of lidar-derived aerosol intensive optical properties for several aerosol types, namely the particle linear depolarization ratio, the extinction-to-backscatter ratio (lidar ratio) and the Ångström exponent. The data collection is based on globally distributed, long-term, ground-based, multiwavelength, Raman and polarization lidar measurements and currently covers two wavelengths, 355 and 532 nm, for 13 aerosol categories ranging from basic aerosol types to mixtures.
Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Brian Cairns, Xiaoguang Xu, and J. Vanderlei Martins
Atmos. Meas. Tech., 16, 2067–2087, https://doi.org/10.5194/amt-16-2067-2023, https://doi.org/10.5194/amt-16-2067-2023, 2023
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Multi-angle polarimetric measurements have been shown to greatly improve the remote sensing capability of aerosols and help atmospheric correction for ocean color retrievals. However, the uncertainty correlations among different measurement angles have not been well characterized. In this work, we provided a practical framework to evaluate the impact of the angular uncertainty correlation in retrieval results and a method to directly estimate correlation strength from retrieval residuals.
Yun He, Zhenping Yin, Albert Ansmann, Fuchao Liu, Longlong Wang, Dongzhe Jing, and Huijia Shen
Atmos. Meas. Tech., 16, 1951–1970, https://doi.org/10.5194/amt-16-1951-2023, https://doi.org/10.5194/amt-16-1951-2023, 2023
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With the AERONET database, this study derives dust-related conversion factors at oceanic sites used in the POLIPHON method, which can convert lidar-retrieved dust extinction to ice-nucleating particle (INP)- and cloud condensation nuclei (CCN)-relevant parameters. The particle linear depolarization ratio in the AERONET aerosol inversion product is used to identify dust data points. The derived conversion factors can be applied to inverse 3-D global distributions of dust-related INPCs and CCNCs.
Denghui Ji, Mathias Palm, Christoph Ritter, Philipp Richter, Xiaoyu Sun, Matthias Buschmann, and Justus Notholt
Atmos. Meas. Tech., 16, 1865–1879, https://doi.org/10.5194/amt-16-1865-2023, https://doi.org/10.5194/amt-16-1865-2023, 2023
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To measuring aerosol components, a Fourier transform infrared spectrometer (FTIS) and a lidar are operated in Ny-Ålesund, Spitsbergen (78° N, 11° E). Using the FTIS, a retrieval algorithm is developed for dust, sea salt, black carbon, and sulfate. The distribution of aerosols or clouds is provided by lidar and used as an indicator for aerosol or cloud retrieval with the FTS. Thus, a two-instrument joint-observation scheme is designed and is used on the data measured from 2019 to the present.
Viet Le, Hannah Lobo, Ewan J. O'Connor, and Ville Vakkari
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-37, https://doi.org/10.5194/amt-2023-37, 2023
Revised manuscript accepted for AMT
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This study offers a long-term overview of aerosol particle depolarization ratio at a wavelength of 1565 nm obtained from vertical profiling measurements by Halo Doppler lidars during four years at four different locations across Finland. Our observations support the long-term usage of Halo Doppler lidar depolarization ratio including detection of aerosols that may pose a safety risk for aviation. Long-range Saharan dust transport and pollen transport are also showcased here.
Jason L. Tackett, Jayanta Kar, Mark A. Vaughan, Brian J. Getzewich, Man-Hae Kim, Jean-Paul Vernier, Ali H. Omar, Brian E. Magill, Michael C. Pitts, and David M. Winker
Atmos. Meas. Tech., 16, 745–768, https://doi.org/10.5194/amt-16-745-2023, https://doi.org/10.5194/amt-16-745-2023, 2023
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The accurate identification of aerosol types in the stratosphere is important to characterize their impacts on the Earth climate system. The space-borne lidar on board CALIPSO is well-posed to identify aerosols in the stratosphere from volcanic eruptions and major wildfire events. This paper describes improvements implemented in the version 4.5 CALIPSO data release to more accurately discriminate between volcanic ash, sulfate, and smoke within the stratosphere.
Ilaria Petracca, Davide De Santis, Matteo Picchiani, Stefano Corradini, Lorenzo Guerrieri, Fred Prata, Luca Merucci, Dario Stelitano, Fabio Del Frate, Giorgia Salvucci, and Giovanni Schiavon
Atmos. Meas. Tech., 15, 7195–7210, https://doi.org/10.5194/amt-15-7195-2022, https://doi.org/10.5194/amt-15-7195-2022, 2022
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The authors propose a near-real-time procedure for the detection of volcanic clouds by means of Sentinel-3 satellite data and neural networks. The algorithm results in an automatic image classification where ashy pixels are distinguished from other surfaces with remarkable accuracy. The model is considerably faster if compared to other approaches which are time consuming, case specific, and not automatic. The algorithm can be significantly helpful for emergency management during eruption events.
James A. Limbacher, Ralph A. Kahn, and Jaehwa Lee
Atmos. Meas. Tech., 15, 6865–6887, https://doi.org/10.5194/amt-15-6865-2022, https://doi.org/10.5194/amt-15-6865-2022, 2022
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Launched in December 1999, NASA’s Multi-angle Imaging SpectroRadiometer (MISR) has given researchers qualitative constraints on aerosol particle properties for the past 22 years. Here, we present a new MISR research aerosol retrieval algorithm (RA) that utilizes over-land surface reflectance data from the Multi-Angle Implementation of Atmospheric Correction (MAIAC) to address limitations of the MISR operational aerosol retrieval algorithm and improve retrievals of aerosol particle properties.
Futing Wang, Ting Yang, Zifa Wang, Haibo Wang, Xi Chen, Yele Sun, Jianjun Li, Guigang Tang, and Wenxuan Chai
Atmos. Meas. Tech., 15, 6127–6144, https://doi.org/10.5194/amt-15-6127-2022, https://doi.org/10.5194/amt-15-6127-2022, 2022
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We develop a new algorithm to get the vertical mass concentration profiles of fine aerosol components based on the synergy of ground-based remote sensing for the first time. The comparisons with in situ observations and chemistry transport models validate the performance of the algorithm. Uncertainties caused by input parameters are also assessed in this paper. We expected that the algorithm can provide a new idea for lidar inversion and promote the development of aerosol component profiles.
Manuel Queißer, Michael Harris, and Steven Knoop
Atmos. Meas. Tech., 15, 5527–5544, https://doi.org/10.5194/amt-15-5527-2022, https://doi.org/10.5194/amt-15-5527-2022, 2022
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Visibility is how well we can see something. Visibility sensors, such as employed in meteorological observatories and airports, measure at a point at the instrument location, which may not be representative of visibilities further away, e.g. near the sea surface during sea spray. Light detecting and ranging (lidar) can measure visibility further away. We find wind lidar to be a viable tool to measure visibility with low accuracy, which could suffice for safety-uncritical applications.
Travis N. Knepp, Larry Thomason, Mahesh Kovilakam, Jason Tackett, Jayanta Kar, Robert Damadeo, and David Flittner
Atmos. Meas. Tech., 15, 5235–5260, https://doi.org/10.5194/amt-15-5235-2022, https://doi.org/10.5194/amt-15-5235-2022, 2022
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We used aerosol profiles from the SAGE III/ISS instrument to develop an aerosol classification method that was tested on four case-study events (two volcanic, two fire) and supported with CALIOP aerosol products. The method worked well in identifying smoke and volcanic aerosol in the stratosphere for these events. Raikoke is presented as a demonstration of the limitations of this method.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Boris Barchunov, and Mikhail Korenskii
Atmos. Meas. Tech., 15, 4881–4900, https://doi.org/10.5194/amt-15-4881-2022, https://doi.org/10.5194/amt-15-4881-2022, 2022
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An approach to reveal variability in aerosol type at a high spatiotemporal resolution, by combining fluorescence and Mie–Raman lidar data, is presented. We applied this new classification scheme to lidar data obtained by LOA, University of Lille, in 2020–2021. It is demonstrated that the separation of the main particle types, such as smoke, dust, pollen, and urban, can be performed with a height resolution of 60 m and temporal resolution better than 10 min for the current lidar configuration.
Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Andrew M. Sayer, Amir Ibrahim, Brian Cairns, Otto Hasekamp, Yongxiang Hu, Vanderlei Martins, P. Jeremy Werdell, and Xiaoguang Xu
Atmos. Meas. Tech., 15, 4859–4879, https://doi.org/10.5194/amt-15-4859-2022, https://doi.org/10.5194/amt-15-4859-2022, 2022
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In this work, we assessed the pixel-wise retrieval uncertainties on aerosol and ocean color derived from multi-angle polarimetric measurements. Standard error propagation methods are used to compute the uncertainties. A flexible framework is proposed to evaluate how representative these uncertainties are compared with real retrieval errors. Meanwhile, to assist operational data processing, we optimized the computational speed to evaluate the retrieval uncertainties based on neural networks.
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Oleg Dubovik, Joel S. Schafer, Alexander Smirnov, and Mikhail Sorokin
Atmos. Meas. Tech., 15, 4135–4151, https://doi.org/10.5194/amt-15-4135-2022, https://doi.org/10.5194/amt-15-4135-2022, 2022
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This paper describes modification of smoothness constraints on the imaginary part of the refractive index employed in the AERONET aerosol retrieval algorithm. This modification is termed relaxed due to the weaker strength of this new smoothness constraint. Applying the modified version of the smoothness constraint results in a significant reduction of retrieved light absorption by brown-carbon-containing aerosols.
Dawei Tang, Tianwen Wei, Jinlong Yuan, Haiyun Xia, and Xiankang Dou
Atmos. Meas. Tech., 15, 2819–2838, https://doi.org/10.5194/amt-15-2819-2022, https://doi.org/10.5194/amt-15-2819-2022, 2022
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During 11–20 March 2020, three aerosol transport events were investigated by a lidar system and an online bioaerosol detection system in Hefei, China.
Observation results reveal that the events not only contributed to high particulate matter pollution but also to the transport of external bioaerosols, resulting in changes in the fraction of fluorescent biological aerosol particles.
This detection method improved the time resolution and provided more parameters for aerosol detection.
Liqiao Lei, Timothy A. Berkoff, Guillaume Gronoff, Jia Su, Amin R. Nehrir, Yonghua Wu, Fred Moshary, and Shi Kuang
Atmos. Meas. Tech., 15, 2465–2478, https://doi.org/10.5194/amt-15-2465-2022, https://doi.org/10.5194/amt-15-2465-2022, 2022
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Aerosol extinction in the UVB (280–315 nm) is difficult to retrieve using simple lidar techniques due to the lack of lidar ratios at those wavelengths. The 2018 Long Island Sound Tropospheric Ozone Study (LISTOS) in the New York City region provided the opportunity to characterize the lidar ratio for UVB aerosol retrieval for the Langley Mobile Ozone Lidar (LMOL). A 292 nm aerosol product comparison between the NASA Langley High Altitude Lidar Observatory (HALO) and LMOL was also carried out.
Jan-Lukas Tirpitz, Udo Frieß, Robert Spurr, and Ulrich Platt
Atmos. Meas. Tech., 15, 2077–2098, https://doi.org/10.5194/amt-15-2077-2022, https://doi.org/10.5194/amt-15-2077-2022, 2022
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MAX-DOAS is a widely used measurement technique for the remote detection of atmospheric aerosol and trace gases. It relies on the analysis of ultra-violet and visible radiation spectra of skylight. To date, information contained in the skylight's polarisation state has not been utilised. On the basis of synthetic data, we carried out sensitivity analyses to assess the potential of polarimetry for MAX-DOAS applications.
Thibault Vaillant de Guélis, Gérard Ancellet, Anne Garnier, Laurent C.-Labonnote, Jacques Pelon, Mark A. Vaughan, Zhaoyan Liu, and David M. Winker
Atmos. Meas. Tech., 15, 1931–1956, https://doi.org/10.5194/amt-15-1931-2022, https://doi.org/10.5194/amt-15-1931-2022, 2022
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A new IIR-based cloud and aerosol discrimination (CAD) algorithm is developed using the IIR brightness temperature differences for cloud and aerosol features confidently identified by the CALIOP version 4 CAD algorithm. IIR classifications agree with the majority of V4 cloud identifications, reduce the ambiguity in a notable fraction of
not confidentV4 cloud classifications, and correct a few V4 misclassifications of cloud layers identified as dense dust or elevated smoke layers by CALIOP.
Marco Di Paolantonio, Davide Dionisi, and Gian Luigi Liberti
Atmos. Meas. Tech., 15, 1217–1231, https://doi.org/10.5194/amt-15-1217-2022, https://doi.org/10.5194/amt-15-1217-2022, 2022
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A procedure for the characterization of the lidar transmitter–receiver geometry was developed. This characterization is currently implemented in the Rome RMR lidar to optimize the telescope/beam alignment, retrieve the overlap function, and estimate the absolute and relative tilt of the laser beam. This procedure can be potentially used to complement the standard EARLINET quality assurance tests.
Monica Campanelli, Henri Diémoz, Anna Maria Siani, Alcide di Sarra, Anna Maria Iannarelli, Rei Kudo, Gabriele Fasano, Giampietro Casasanta, Luca Tofful, Marco Cacciani, Paolo Sanò, and Stefano Dietrich
Atmos. Meas. Tech., 15, 1171–1183, https://doi.org/10.5194/amt-15-1171-2022, https://doi.org/10.5194/amt-15-1171-2022, 2022
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The aerosol optical depth (AOD) characteristics in an urban area of Rome were retrieved over a period of 11 years (2010–2020) to determine, for the first time, their effect on the incoming ultraviolet (UV) solar radiation. The surface forcing efficiency shows that the AOD is the primary parameter affecting the surface irradiance in Rome, and it is found to be greater for smaller zenith angles and for larger and more absorbing particles in the UV range (such as, e.g., mineral dust).
Jean-Claude Roger, Eric Vermote, Sergii Skakun, Emilie Murphy, Oleg Dubovik, Natacha Kalecinski, Bruno Korgo, and Brent Holben
Atmos. Meas. Tech., 15, 1123–1144, https://doi.org/10.5194/amt-15-1123-2022, https://doi.org/10.5194/amt-15-1123-2022, 2022
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From measurements of the sky performed by AERONET, we determined the microphysical properties of the atmospheric particles (aerosols) for each AERONET site. We used the aerosol optical thickness and its variation over the visible spectrum. This allows us to determine an aerosol model useful for (but not only) the validation of the surface reflectance satellite-derived product. The impact of the aerosol model uncertainties on the surface reflectance validation has been found to be 1 % to 3 %.
Drew C. Pendergrass, Shixian Zhai, Jhoon Kim, Ja-Ho Koo, Seoyoung Lee, Minah Bae, Soontae Kim, Hong Liao, and Daniel J. Jacob
Atmos. Meas. Tech., 15, 1075–1091, https://doi.org/10.5194/amt-15-1075-2022, https://doi.org/10.5194/amt-15-1075-2022, 2022
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This paper uses a machine learning algorithm to infer high-resolution maps of particulate air quality in eastern China, Japan, and the Korean peninsula, using data from a geostationary satellite along with meteorology. We then perform an extensive evaluation of this inferred air quality and use it to diagnose trends in the region. We hope this paper and the associated data will be valuable to other scientists interested in epidemiology, air quality, remote sensing, and machine learning.
Antti Lipponen, Jaakko Reinvall, Arttu Väisänen, Henri Taskinen, Timo Lähivaara, Larisa Sogacheva, Pekka Kolmonen, Kari Lehtinen, Antti Arola, and Ville Kolehmainen
Atmos. Meas. Tech., 15, 895–914, https://doi.org/10.5194/amt-15-895-2022, https://doi.org/10.5194/amt-15-895-2022, 2022
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We have developed a machine-learning-based model that can be used to correct the Sentinel-3 satellite-based aerosol parameter data of the Synergy data product. The strength of the model is that the original satellite data processing does not have to be carried out again but the correction can be carried out with the data already available. We show that the correction significantly improves the accuracy of the satellite aerosol parameters.
Vinay Kayetha, Omar Torres, and Hiren Jethva
Atmos. Meas. Tech., 15, 845–877, https://doi.org/10.5194/amt-15-845-2022, https://doi.org/10.5194/amt-15-845-2022, 2022
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Existing measurements of spectral aerosol absorption are limited, particularly in the UV region. We use the synergy of satellite and ground measurements to derive spectral single scattering albedo of aerosols from the UV–visible spectrum. The resulting spectral SSAs are used to investigate seasonality in absorption for carbonaceous, dust, and urban aerosols. Regional aerosol absorption models that could be used to make reliable assumptions in satellite remote sensing of aerosols are derived.
Cited articles
Alam, K., Trautmann, T., and Blaschke, T.: Aerosol optical properties and
radiative forcing over mega-city Karachi, Atmos. Res.,
101, 773–782, https://doi.org/10.1016/j.atmosres.2011.05.007,
2011.
Bellouin, N., Boucher, O., Haywood, J., and Reddy, M.: Global estimate of
aerosol direct radiative forcing from satellite measurements, Nature,
438, 1138–1141, https://doi.org/10.1038/nature04348, 2005.
ECMWF: Interim
Reanalysis (ERA-Interim),available at: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim, last access:
1 November 2019.
Buchard, V., Randles, C. A., Silva, A. M., Darmenov, A., Colarco, P. R., and
Govindaraju, R.: The MERRA-2 aerosol reanalysis, 1980 onward, Part II:
Evaluation and case studies, J. Climate, 30, 6823,
https://doi.org/10.1175/JCLI-D-16-0613.1, 2017.
Cescatti, A., Marcolla, B., Santhana Vannan, S. K., Pan, J. Y., Roman, M. O.,
Yang, X., Ciais, P., Cook, R., Law, B., Matteucci, G., Migliavacca, M., Moors,
E., Richardson, A., Seufert, G., and Schaaf, C.: Intercomparison of MODIS
albedo retrievals and in situ measurements across the global FLUXNET
network, Remote Sens. Environ., 121, 323–334,
https://doi.org/10.1016/j.rse.2012.02.019, 2012.
Chameides, W., Yu, H., Liu, S., Bergin, M., Zhou, X., Mearns, L., Wang, G.,
Kiang, C., Saylor, R., Luo, C., and Huang, Y.: Case study of the effects of
atmospheric aerosols and regional haze on agriculture: an opportunity to
enhance crop yields in china through emission controls?, P. Natl. Acad. Sci. USA, 96, 13626–13633, https://doi.org/10.2307/121272, 1999.
Chang, S.-K.: Data structures and algorithms, Software Engineering and
Knowledge Engineering, 13. Singapore: World Scientific, ISBN
978-981-238-348-8, 2003.
Chang, W. and Liao, H.: Anthropogenic direct radiative forcing of
tropospheric ozone and aerosols from 1850 to 2000 estimated with IPCC AR5
emissions inventories, Atmos. Ocean Sc. Lett., 2, 201–207,
https://doi.org/10.1080/16742834.2009.11446804, 2009.
Che, H., Zhang, X., Chen, H., Damiri, B., and Zhou, T.: Instrument
calibration and aerosol optical depth validation of the China aerosol remote
sensing network, J. Geophys. Res.-Atmos., 114, D03206,
https://doi.org/10.1029/2008jd011030, 2009.
Che, H., Qi, B., Zhao, H., Xia, X., Eck, T. F., Goloub, P., Dubovik, O., Estelles, V., Cuevas-Agulló, E., Blarel, L., Wu, Y., Zhu, J., Du, R., Wang, Y., Wang, H., Gui, K., Yu, J., Zheng, Y., Sun, T., Chen, Q., Shi, G., and Zhang, X.: Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China, Atmos. Chem. Phys., 18, 405–425, https://doi.org/10.5194/acp-18-405-2018, 2018.
Che, H., Xia, X., Zhao, H., Dubovik, O., Holben, B. N., Goloub, P., Cuevas-Agulló, E., Estelles, V., Wang, Y., Zhu, J., Qi, B., Gong, W., Yang, H., Zhang, R., Yang, L., Chen, J., Wang, H., Zheng, Y., Gui, K., Zhang, X., and Zhang, X.: Spatial distribution of aerosol microphysical and optical properties and direct radiative effect from the China Aerosol Remote Sensing Network, Atmos. Chem. Phys., 19, 11843–11864, https://doi.org/10.5194/acp-19-11843-2019, 2019.
Cheng, T., Xu, C., Duan, J., Wang, Y., Leng, C., Tao, J., Che, H., He, Q.,
Wu, Y., Zhang, R., Li, X., Chen, J., Kong, L., and Yu, X.: Seasonal
variation and difference of aerosol optical properties in columnar and
surface atmospheres over Shanghai, Atmos. Environ., 123, 315–326,
https://doi.org/10.1016/j.atmosenv.2015.05.029, 2015.
Cheng, X., Ding, L., Yang, Y., Bai, S., Zhou, H., Peng, J., Quan, J., and
Song, J.: Correction methods for thermal offset errors in TBQ-2-B
pyranometers, J. Trop. Meteorol., 20, 375–385,
https://doi.org/10.16555/j.1006-8775.2014.04.011, 2014.
Chu, D. A., Kaufman, Y. J., Ichoku, C., Remer, L. A., Tanré, D., and
Holben, B. N.: Validation of MODIS aerosol optical depth retrieval over
land, Geophys. Res. Lett., 29, 1617–1621,
https://doi.org/10.1029/2001gl013205, 2002.
Chung, C. E., Chu, J.-E., Lee, Y., van Noije, T., Jeoung, H., Ha, K.-J., and Marks, M.: Global fine-mode aerosol radiative effect, as constrained by comprehensive observations, Atmos. Chem. Phys., 16, 8071–8080, https://doi.org/10.5194/acp-16-8071-2016, 2016.
Colarco, P., Silva, A. D., Chin, M., and Diehl, T.: Online simulations of global
aerosol distributions in the NASA GEOS-4 model and comparisons to satellite
and ground-based aerosol optical depth, J. Geophys. Res.-Atmos., 115, D14207,
https://doi.org/10.1029/2009JD012820, 2010.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S. Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M.,
Morcrette, J.J., Park, B.K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J.-N., and Vitart, F.: The ERA reanalysis:
Configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
De Graaf, M., Stammes., P., and Tilstra, L. G.: Quantification of the
aerosol direct radiative effect from smoke over clouds using passive
space-borne spectrometry, AIP Conference Proceedings 1531, 640, https://doi.org/10.1063/1.4804851, 2013.
Derimian, Y., Dubovik, O., Huang, X., Lapyonok, T., Litvinov, P., Kostinski, A. B., Dubuisson, P., and Ducos, F.: Comprehensive tool for calculation of radiative fluxes: illustration of shortwave aerosol radiative effect sensitivities to the details in aerosol and underlying surface characteristics, Atmos. Chem. Phys., 16, 5763–5780, https://doi.org/10.5194/acp-16-5763-2016, 2016.
Dubovik, O. and King, M.: A flexible inversion algorithm for retrieval of
aerosol optical properties from Sun and sky radiance measurements, J.
Geophys. Res.-Atmos., 105, 20673–20696,
https://doi.org/10.1029/2000jd900282, 2000.
Dubovik, O., Li, Z., Mishchenko, M. I., Tanré, D., Karol, Y., Bojkov, B., Cairns, B.,
Diner, D. J., Espinosa, W. R., Goloub, P., Gu, X., Hasekamp, O., Hong, J.,
Hou, W., Knobelspiesse, K. D., Landgraf, J., Li, L., Litvinov, P., Liu, Y., Lopatin, A., Marbach, T., Maring, H., Martins, V., Meijer, Y., Milinevsky, G., Mukai, S., Parol, F., Qiao, Y., Remer, L., Rietjens, J., Sano, I., Stammes, P., Stamnes, S., Sun, X., Tabary, P., Travis, L. D., Waquet, F., Xu, F., Yan, C., and Yin, D.: Polarimetric remote sensing of atmospheric aerosols: instruments,
methodologies, results, and perspectives, J. Quant. Spectrosc. Ra., 224, 474–511, https://doi.org/10.1016/j.jqsrt.2018.11.024, 2019.
Esteve, A. R., Estellés, V., Utrillas, M. P., and
Martínez-Lozano, J. A.: Analysis of the aerosol radiative forcing over a
Mediterranean urban coastal site, Atmos. Res., 137, 195–204,
https://doi.org/10.1016/j.atmosres.2013.10.009, 2014.
Fu, Y., Zhu, J., Yang, Y., Yuan, R., Liu, G., Xian, T., and Liu, P.:
Grid-cell aerosol direct shortwave radiative forcing calculated using the
SBDART model with MODIS and AERONET observations: an application in winter
and summer in eastern China, Adv. Atmos. Sci., 34, 952–964,
https://doi.org/10.1007/s00376-017-6226-z, 2017.
Gelaro, R., McCarty, W., Suarez, M. J., Todling, R., Molod, A., Takacs, L.,
Randles, C., Darmenov, A., Bosilovich, M., and Reichle, R.: The modern-era
retrospective analysis for research and applications, version 2 (MERRA-2),
J. Climate, 30, 5419–5454,
https://doi.org/10.1016/10.1175/JCLI-D-16-0758.1, 2017.
Gong, F., Xin, J., Wang, S., Wang, Y., and Zhang, T.: Anthropogenic aerosol
optical and radiative properties in the typical urban/suburban regions in
China, Atmos. Res., 197, 177–187,
https://doi.org/10.1016/j.atmosres.2017.07.002, 2017.
Guan, H., Schmid, B., Bucholtz, A., and Bergstrom, R.: Sensitivity of
shortwave radiative flux density, forcing, and heating rate to the aerosol
vertical profile, J. Geophys. Res.-Atmos., 115, D06209,
https://doi.org/10.1029/2009JD012907, 2010.
Haywood, J. and Boucher, O.: Estimates of the direct and indirect radiative
forcing due to tropospheric aerosols: a review, Rev. Geophys., 38, 513,
https://doi.org/10.1029/1999rg000078, 2000.
He, Q., Li, C., Mao, J., Lau, A., and Chu, D.: Analysis of aerosol vertical
distribution and variability in Hong Kong, J. Geophys. Res., 113, D14211,
https://doi.org/10.1029/2008JD009778, 2008.
He, Q., Li, C., Tang, X., Li, H., Geng, F., and Wu, Y.: Validation of MODIS
derived aerosol optical depth over the Yangtze River Delta in China, Remote
Sens. Environ., 114, 1649–1661, https://doi.org/10.1016/j.rse.2010.02.015,
2010.
He, Q., Li, C., Geng, F., Yang, H., Li, P., Li, T., Liu, D., and Pei, Z.:
Aerosol optical properties retrieved from sun photometer measurements over
Shanghai, China, J. Geophy. Res.-Atmos., 117, D16204,
https://doi.org/10.1029/2011JD017220, 2012a.
He, Q., Li, C., Geng, F., Lei, Y., and Li, Y.: Study on long-term aerosol
distribution over the land of East China using MODIS data, Aerosol Air Qual.
Res., 12, 300–315, https://doi.org/10.4209/aaqr.2011.11.0200, 2012b.
He, Q., Li, C., Geng, F., Zhou, G., Gao, W., Yu, W., Li, Z., and Du, M.: A
parameterization scheme of aerosol vertical distribution for surface-level
visibility retrieval from satellite remote sensing. Remote Sens. Environ.,
181, 1–13, https://doi.org/10.1016/j.rse.2016.03.016, 2016.
Hess, M.: Optical properties of aerosols and clouds: the software package
OPAC, B. Am. Meteorol. Soc., 79, 831–844, https://doi.org/10.1175/1520-0477(1998)079< 0831:OPOAAC>2.0.CO;2, 1998.
Holben, B. N., Tanré, D., Smirnov, A., Eck, T. F., Slutsker, I.,
Abuhassan, N., Newcomb, W. W., Schafer, S., Chatenet, B., Lavenu, F.,
Kaufman, Y., Vande, J., Setzer, A., Markham, B., Clark, D., Frouin, R.,
Halthore, R., Karneli, A., O'Neill, N., Pietras, C., Pinker, R., Voss, K.,
and Zibordi, G.: An emerging ground-based aerosol climatology: aerosol
optical depth from AERONET, J. Geophys. Res.-Atmos., 106, 12067–12097,
https://doi.org/10.1029/2001JD900014, 2001.
AERONET: https://aeronet.gsfc.nasa.gov/, last access: 1 November 2019.
Huang, J., Fu, Q., Su, J., Tang, Q., Minnis, P., Hu, Y., Yi, Y., and Zhao, Q.: Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints, Atmos. Chem. Phys., 9, 4011–4021, https://doi.org/10.5194/acp-9-4011-2009, 2009.
Ichoku, C., Chu, D., Mattoo, S., Kaufman, Y., Remer, L. A., Tanré, D.,
Slutsker, I., and Holben, N.: A spatio-temporal approach for global validation
and analysis of MODIS aerosol products, Geophys. Res. Lett., 29,
MOD1-1–MOD1-4, https://doi.org/10.1029/2001GL013206, 2002.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp., 2013.
CERES: Single Scanner Footprint (SSF), available at: https://ceres.larc.nasa.gov/products.php?product=SSF-Level2, last access: 1 November 2019.
Kaufman, Y. J., Tanre, D. L., Remer, A., Vermote, E. F., Chu, A., and
Holben, B. N.: Operational remote sensing of tropospheric aerosol over land
from EOS moderate resolution imaging spectroradiometer, J. Geophys. Res.,
102, 17051–17067, https://doi.org/10.1029/96jd03988, 1997.
Kaufman, Y. J., Remer, L. A. , Tanre, D. , Li, R. R. , Kleidman, R. ,
Mattoo, S. , Levy, R., Eck, T. Holben, B., Ichoku, C., Martins, J., and
Koren, I.: A critical examination of the residual cloud contamination and
diurnal sampling effects on MODIS estimates of aerosol over ocean, IEEE T. Geosci. Remote, 43, 2886–2897,
https://doi.org/10.1109/tgrs.2005.858430, 2005.
Kendall, M. G.: Rank Correlation Methods, Griffin, London, 160 pp., 1975.
Kim, J., Yoon S. C., Kim S. W., Brechtel, F., Jefferson, A., Dutton, E. G.,
Bower, K. N., Cliff, S., and Schauer, J.: Chemical apportionment of shortwave
direct aerosol radiative forcing at the Gosan super-site, Korea during
ACE-Asia, Atmos. Environ., 40, 6718–6729, https://doi.org/10.1016/j.atmosenv.2006.06.007, 2006.
CERES: Single Scanner Footprint (SSF), available at: https://ceres.larc.nasa.gov/products.php?product=SSF-Level2, last access: 1 November 2019.
Levelt, P., van den Oord, G., Dobber, M., Malkki, A., Visser, H., de Vries, J.,
Stammes, P., Lundell, J., and Saari, H.: The Ozone Monitoring Instrument, IEEE T. Geosci. Remote, 44, 1093–1101,
https://doi.org/10.1109/TGRS.2006.872333, 2006.
Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989–3034, https://doi.org/10.5194/amt-6-2989-2013, 2013.
Li, J., Carlson, B. E., Dubovik, O., and Lacis, A. A.: Recent trends in aerosol optical properties derived from AERONET measurements, Atmos. Chem. Phys., 14, 12271–12289, https://doi.org/10.5194/acp-14-12271-2014, 2014.
Li, C., Mao, J., Lau, A., Yuan, Z., Wang, M., and Liu, X.: Characteristics
of distribution and seasonal variation of aerosol optical depth in Eastern
China with MODIS products, Chin. Sci. Bull., 48, 2488–2495,
https://doi.org/10.1360/03wd0224, 2003 (in Chinese).
Li, X., Sheng, L., Liu, Q., Liu, Y., and Wang, L.: Error in calculation of
surface radiation based on SBDART radiative transfer model,
Period. Ocean Uni. Chin., 46, 13–18, 2016 (in Chinese).
Li, Z., Lee, K., Wang, Y., Xin, J., and Hao, W.: First observation-based
estimates of cloud-free aerosol radiative forcing across China, J. Geophys.
Res., 115, D00K18, https://doi.org/10.1029/2009jd013306, 2010.
Liu, J., Zheng, Y., Li, Z., Flynn, C., and Cribb, M.: Seasonal variations of
aerosol optical properties, vertical distribution and associated radiative
effects in the Yangtze Delta region of China, J. Geophys. Res-Atmos.,
117, https://doi.org/10.1029/2011JD016490, 2012.
Liao, H., Chang, W., and Yang, Y.: Climatic effects of air pollutants over
china: a review, Adv. Atmos. Sci., 32, 115–139,
https://doi.org/10.1007/s00376-014-0013-x, 2015.
Long, C. N. and Shi, Y.: An automated quality assessment and control
algorithm for surface radiation measurements, The Open Atmospheric Science
Journal, 2, 23–37, https://doi.org/10.2174/1874282300802010023, 2008.
Loeb, N. G., Kato, L. S., Loukachine, K., and Manalo-Smith, N.: Angular
distribution models for Top-of-Atmosphere radiative flux estimation from the
Clouds and the Earth's Radiant Energy System instrument on the Terra
satellite, Part I: Methodology, J. Appl. Meteorol., 42, 338–351,
https://doi.org/10.1175/JTECH1712.1, 2003.
Long, C. N. and Shi, Y.: An automated quality assessment and control
algorithm for surface radiation measurements, The Open Atmospheric Science
Journal, 2, 23–37, https://doi.org/10.2174/1874282300802010023, 2008.
Mann, H. B.: Nonparametric tests against trend, Econometrica, 13, 245–259,
1945.
Menon, S., Hansen, J., Nazarenko, L., and Luo, Y.: Climate effects of black
carbon aerosols in China and India, Science, 297, 2250–2253,
https://doi.org/10.1126/science.1075159, 2002.
Michalsky, J., Anderson, G., Barnard, J., Delamere, J., Gueymard, C., Kato,
S., Kiedron, P., Mc Comiskey, A., and Ricchiazzi, P.: Shortwave radiative
closure studies for clear skies during the atmospheric radiation measurement
2003 aerosol intensive observation period, J. Geophys. Res.-Atmos.,
111, D14S90, https://doi.org/10.1029/2005JD006341, 2006.
Nyeki, S., Wehrli, C., Gröbner, J., Kouremeti, N., Wacker, S.,
Labuschagne, C., Mbatha, N., and Brunke, G.: The GAW-PFR aerosol optical
depth network: the 2008–2013 time series at Cape Point Station, South
Africa, J. Geophys. Res.-Atmos., 120, 5070–5084,
https://doi.org/10.1002/2014JD022954, 2015.
Oikawa, E., Nakajima, T., Inoue, T., and Winker, D.: A study of the
shortwave direct aerosol forcing using ESSP/CALIPSO observation and GCM
simulation, J. Geophys. Res.-Atmos., 118, 3687–3708,
https://doi.org/10.1002/jgrd.50227, 2013.
Paulot, F., Paynter, D., Ginoux, P., Naik, V., and Horowitz, L. W.: Changes in the aerosol direct radiative forcing from 2001 to 2015: observational constraints and regional mechanisms, Atmos. Chem. Phys., 18, 13265–13281, https://doi.org/10.5194/acp-18-13265-2018, 2018.
Qiu, Y., Liao, H., Zhang, R., and Hu, J.: Simulated impacts of direct
radiative effects of scattering and absorbing aerosols on surface-layer
aerosol concentrations in China during a heavily polluted event in February
2014: aerosol radiative feedbacks over the NCP, J. Geophys. Res.-Atmos.,
122, 5955–5975, https://doi.org/10.1002/2016JD026309, 2017.
Randles, C. A., Sliva, A. M. D., Buchard, V., Colarco, P. R., and Flynn,
C. J.: The MERRA-2 Aerosol Reanalysis, 1980 – onward, Part I: System
Description and Data Assimilation Evaluation, J. Climate, 30, 6823,
https://doi.org/10.1175/JCLI-D-16-0609.1, 2017.
MERRA-2: https://disc.gsfc.nasa.gov/daac-bin/FTPSubset2.pl, last access: 1 November 2019.
Reddy, K., Kumar, D., Ahammed, Y., and Naja, M.: Aerosol vertical profiles
strongly affect their radiative forcing uncertainties: study by using
ground-based lidar and other measurements, Remote Sens. Lett., 4,
1018–1027, https://doi.org/10.1080/2150704X.2013.828182, 2013.
Ricchiazzi, P., Yang, S. R., Gautier, C., and Sowle, D.: SBDART: A research and
teaching software tool for plane parallel radiative transfer in the Earth's
atmosphere, B. Am. Meteorol. Soc., 79, 2101–2114,
https://doi.org/10.1175/1520-0477(1998)0792.0.CO;2, 1998.
Rosenfeld, D.: TRMM observed first direct evidence of smoke from forest
fires inhibiting rainfall, Geophys. Res. Lett., 26, 3105–3108,
https://doi.org/10.1029/1999gl006066, 1999.
Ruiz-Arias, J. A., Dudhia, J., Santos-Alamillos, F., and Pozo-Vázquez, D.: Surface clear-sky shortwave radiative closure
intercomparisons in the weather research and forecasting model, J. Geophys.
Res.-Atmos., 118, 9901–9913, https://doi.org/10.1002/jgrd.50770, 2013.
Sanchez, G., Serrano, A., Cancillo, M., and Garcia, J.: Pyranometer thermal
offset: measurement and analysis, J. Atmos. Ocean. Tech., 32, 234–246,
https://doi.org/10.1175/jtech-d-14-00082.1, 2015.
MODIS: albedo product, available at: https://e4ftl01.cr.usgs.gov/MOTA/MCD43C3.006, last acess: 1 November 2019.
Shettle, E. P. and Fenn, R. W.: Models of the atmospheric aerosols and
their optical properties, AGARD Conf. Proc., Optical Propagation in the
Atmosphere, Lyngby, Denmark, NATO Advisory Group for Aerospace Research,
2.1–2.16, 1975.
Song, J. Y.: Quality Evaluations and feature analysis of radiation data at
background stations in China, Master thesis, Chinese Academy of
Meteorological Sciences, 63 pp., 2013.
Song, Z., Fu, D., Zhang, X., Wu, Y., Xia, X., and He, J.: Diurnal and
seasonal variability of PM2.5 and AOD in North China plain: Comparison of
MERRA-2 products and ground measurements, Atmos. Environ., 191, 70–78,
https://doi.org/10.1016/j.atmosenv.2018.08.012, 2018.
Su, W., Corbett, J., Eitzen, Z., and Liang, L.: Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: validation, Atmos. Meas. Tech., 8, 3297–3313, https://doi.org/10.5194/amt-8-3297-2015, 2015.
Sundström, A.-M., Arola, A., Kolmonen, P., Xue, Y., de Leeuw, G., and Kulmala, M.: On the use of a satellite remote-sensing-based approach for determining aerosol direct radiative effect over land: a case study over China, Atmos. Chem. Phys., 15, 505–518, https://doi.org/10.5194/acp-15-505-2015, 2015.
Tian, P., Zhang, L., Cao, X., Sun, N., and Wang, H.: Enhanced
bottom-of-the-atmosphere cooling and atmosphere heating efficiency by
mixed-type aerosols: a classification based on aerosol nonsphericity, J.
Atmos. Sci., 75, 113–124, https://doi.org/10.1175/JAS-D-17-0019.1, 2018a.
Tian, P., Zhang, L., Ma, J., Tang, K., Xu, L., Wang, Y., Cao, X., Liang, J., Ji, Y., Jiang, J. H., Yung, Y. L., and Zhang, R.: Radiative absorption enhancement of dust mixed with anthropogenic pollution over East Asia, Atmos. Chem. Phys., 18, 7815–7825, https://doi.org/10.5194/acp-18-7815-2018, 2018b.
Tilstra, L. G. and Stammes P.: Earth reflectance and polarization
intercomparison between SCIAMACHY onboard Envisat and POLDER onboard ADEOS-2, J. Geophys. Res., 112, D11304,
https://doi.org/10.1029/2006JD007713, 2007.
Thomas, G. E., Chalmers, N., Harris, B., Grainger, R. G., and Highwood, E. J.: Regional and monthly and clear-sky aerosol direct radiative effect (and forcing) derived from the GlobAEROSOL-AATSR satellite aerosol product, Atmos. Chem. Phys., 13, 393–410, https://doi.org/10.5194/acp-13-393-2013, 2013.
Twomey, S.: The influence of pollution on the shortwave albedo of clouds, J.
Atmos. Sci., 34, 1149–1152,
https://doi.org/10.1175/1520-0469(1977)034< 1149:TIOPOT>2.0.CO;2., 1977.
Wang, J. and Christopher, S.: Mesoscale modeling of central american smoke
transport to the United States: 2. smoke radiative impact on regional
surface energy budget and boundary layer evolution, J. Geophys. Res.,
111, D14S92, https://doi.org/10.1029/2005JD006720, 2006.
Wang, J. and Martin, T.: Satellite characterization of urban aerosols:
importance of including hygroscopicity and mixing state in the retrieval
algorithms, J. Geophys. Res., 112, D17203,
https://doi.org/10.1029/2006JD008078, 2007.
Wang, J., Van, D., and Reid, J.: A conceptual model for the link between
Central American biomass burning aerosols and severe weather over the South
Central United States, Environ. Res. Lett., 4, 015003,
https://doi.org/10.1088/1748-9326/4/1/015003, 2009.
Wang, P., Knap, W. H., Kuipers Munneke, P., and Stammes, P.: Clear-sky
shortwave radiative closure for the Cabauw Baseline Surface Radiation Network site, Netherlands, J. Geophys. Res., 114,
D14206, https://doi.org/10.1029/2009JD011978, 2009.
Wang, X., Dickinson, R., Su, L., Zhou, C., and Wang, K.: PM2.5 pollution in
China and how it has been exacerbated by terrain and meteorological
conditions, B. Am. Meteorol. Soc., 99, 105–120,
https://doi.org/10.1175/BAMS-D-16-0301.1, 2018.
Wang, Y., Duan, J., Xie, X., He, Q., Cheng, T., Mu, H., Gao, W., and Li, X.:
Climatic factors and their availability in estimating long-term variations
of fine particle distributions over East China, J. Geophys. Res.-Atmos.,
124, 1–16, https://doi.org/10.1029/2018JD029622, 2019.
Wu, Y., Zhang, J., Zhang, R., and Zhang, X.: Ground-based remote sensing of
aerosol climatology in China: Aerosol optical properties, direct radiative
effect and its parameterization, Atmos. Environ., 124, 243–251,
https://doi.org/10.1016/j.atmosenv.2015.05.071, 2016.
Wu, J., Bei, N., Hu, B., Liu, S., Zhou, M., Wang, Q., Li, X., Liu, L., Feng, T., Liu, Z., Wang, Y., Cao, J., Tie, X., Wang, J., Molina, L. T., and Li, G.: Aerosol-radiation feedback deteriorates the wintertime haze in the North China Plain, Atmos. Chem. Phys., 19, 8703–8719, https://doi.org/10.5194/acp-19-8703-2019, 2019.
Xia, X., Li, Z., Holben, B., Wang, P., Eck, T., Chen, H., Cribb, M., and Zhao, Y.:
Aerosol optical properties and radiative effects in the Yangtze Delta region
of China, J. Geophys. Res., 112, D22,
https://doi.org/10.1029/2007JD008859, 2007a.
Xia, X., Chen, H., Li, Z., Wang, P., and Wang, J.: Significant reduction of
surface solar irradiance induced by aerosols in a suburban region in
northeastern China, J. Geophys. Res.-Atmos., 112, D22,
https://doi.org/10.1029/2006JD007562, 2007b.
Xie, Y., Zhang, Y., Xiong, X., Qu, J., and Che, H.: Validation of MODIS
aerosol optical depth product over china using CARSNET measurements, Atmos.
Environ., 45, 5970–5978, https://doi.org/10.1016/j.atmosenv.2011.08.002,
2011.
Xin, J., Wang, Y., Li, Z., Wang, P., and Hu, B.: Aerosol optical depth (AOD)
and Ångström exponent of aerosols observed by the Chinese sun
hazemeter network from August 2004 to September 2005, J. Geophys. Res.-Atmos., 112, 1703–1711, https://doi.org/10.1029/2006JD007075, 2007.
Xin, J., Wang, Y., Pan, Y., Ji, D., Liu, Z., Wen, T., Wang, Y., Li, X., Sun, Y., Sun, J., Wang, P., Wang, G., Wang, X., Cong, Z.,
Tao, S., Hu, B., Wang, L., Tang, G., Gao, W., and Wang, L.: The Campaign on Atmospheric Aerosol Research Network of China:CARE-China, B. Am. Meteorol. Soc., 96, 1137–1155, https://doi.org/10.1175/BAMS-D-14-00039.1, 2015.
Ye, G., Wu, Y., and Liu, B.: Spatial and temporal distribution
characteristics of fog and haze in Fuzhou, Chin. Environ.
Sci. Tech., 33, 114–119, 2010 (in Chinese).
Yin, K.: Cloud computing: Concept, model, and key technologies, ZTE
Technology Journal, 16, 18–23, 2010.
Yu, H., Dickinson, R., Chin, M., Kaufman, Y., Zhou, M., Tian, Y., Dubovik,
O., and Holben, B.: direct radiative effect of aerosols as determined from a
combination of MODIS retrievals and GOCART simulations, J. Geophys.
Res., 109, D03206, https://doi.org/10.1029/2003JD003914, 2004.
Yu, H., Kaufman, Y. J., Chin, M., Feingold, G., Remer, L. A., Anderson, T. L., Balkanski, Y., Bellouin, N., Boucher, O., Christopher, S., DeCola, P., Kahn, R., Koch, D., Loeb, N., Reddy, M. S., Schulz, M., Takemura, T., and Zhou, M.: A review of measurement-based assessments of the aerosol direct radiative effect and forcing, Atmos. Chem. Phys., 6, 613–666, https://doi.org/10.5194/acp-6-613-2006, 2006.
Yu, X., Ma, J., Kumar, R., K. Zhu, B., An, J., He, J., and Li, M.:
Measurement and analysis of surface aerosol optical properties over urban
Nanjing in the Chinese Yangtze River Delta, Sci. Total Environ., 542,
277–291, https://doi.org/10.1016/j.scitotenv.2015.10.079, 2016a.
Yu, X., Kumar, K., Lyu, R., and Ma, J.: Changes in column aerosol optical
properties during extreme haze-fog episodes in January 2013 over urban
Beijing, Environ. Pollut., 210, 217–226,
https://doi.org/10.1016/j.envpol.2015.12.021, 2016b.
Yu, Y., Xia, X., and Chen, H.: A comparison between measured and modeled
clear-sky surface solar irradiance, Aeta Energiae Solaris
Sinica, 28, 233–240, 2007 (in Chinese).
Yu, Y. and Song, M.: Big data (3), ZTE Technology Journal, 19, 57–62,
https://doi.org/10.3969/j.issn.1009-6868.2013.03.013, 2013.
MODIS: AOD product, available at: http://ladsweb.nascom.nasa.gov/data/search.html, last access: 1 November 2019.
Zhang, J. L., Reid, S. J., Contreras, R. A., and Xian, P.: Has China been
exporting less particulate air pollution over the past decade?, Geophys.
Res. Lett., 44, 1–8, https://doi.org/10.1002/2017GL072617, 2017.
Zhang, M., Ma, Y., Gong, W., Liu, B., Shi, Y., and Chen, Z.: Aerosol optical
properties and radiative effects: assessment of urban aerosols in central
China using 10-year observations, Atmos. Environ., 182, 275–285,
https://doi.org/10.1016/j.atmosenv.2018.03.040, 2018.
Zhou, C., Zhang,
H., Zhao, S., and Li, J.: On effective radiative forcing of partial
internally and externally mixed aerosols and their effects on global
climate, J. Geophys. Res.-Atmos., 123, 401–423, https://doi.org/10.1002/2017JD027603,
2018.
Zhuang, B., Wang, T., Liu, J., Che, H., Han, Y., Fu, Y., Li, S., Xie, M., Li, M., Chen, P., Chen, H., Yang, X.-Q., and Sun, J.: The optical properties, physical properties and direct radiative forcing of urban columnar aerosols in the Yangtze River Delta, China, Atmos. Chem. Phys., 18, 1419–1436, https://doi.org/10.5194/acp-18-1419-2018, 2018.
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.
A satellite-based method for clear-sky aerosol direct radiative forcing (ADRF) retrieval and...