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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Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Post-process correction improves the accuracy of satellite PM2.5 retrievals
Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance
Comparison of diurnal aerosol products retrieved from combinations of micro-pulse lidar and sun photometer observations over the KAUST observation site
First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia
Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods
Stratospheric aerosol characteristics from SCIAMACHY limb observations: two-parameter retrieval
Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations
Transport of the Hunga volcanic aerosols inferred from Himawari-8/9 limb measurements
A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust
Innovative aerosol hygroscopic growth study from Mie–Raman–fluorescence lidar and microwave radiometer synergy
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Atmos. Meas. Tech., 17, 5747–5764, https://doi.org/10.5194/amt-17-5747-2024, https://doi.org/10.5194/amt-17-5747-2024, 2024
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Pawan Gupta, Robert C. Levy, Shana Mattoo, Lorraine A. Remer, Zhaohui Zhang, Virginia Sawyer, Jennifer Wei, Sally Zhao, Min Oo, V. Praju Kiliyanpilakkil, and Xiaohua Pan
Atmos. Meas. Tech., 17, 5455–5476, https://doi.org/10.5194/amt-17-5455-2024, https://doi.org/10.5194/amt-17-5455-2024, 2024
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Lijuan Chen, Ren Wang, Ying Fei, Peng Fang, Yong Zha, and Haishan Chen
Atmos. Meas. Tech., 17, 4411–4424, https://doi.org/10.5194/amt-17-4411-2024, https://doi.org/10.5194/amt-17-4411-2024, 2024
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Anton Lopatin, Oleg Dubovik, Georgiy Stenchikov, Ellsworth J. Welton, Illia Shevchenko, David Fuertes, Marcos Herreras-Giralda, Tatsiana Lapyonok, and Alexander Smirnov
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Yeseul Cho, Jhoon Kim, Sujung Go, Mijin Kim, Seoyoung Lee, Minseok Kim, Heesung Chong, Won-Jin Lee, Dong-Won Lee, Omar Torres, and Sang Seo Park
Atmos. Meas. Tech., 17, 4369–4390, https://doi.org/10.5194/amt-17-4369-2024, https://doi.org/10.5194/amt-17-4369-2024, 2024
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Minseok Kim, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Yeseul Cho, Yun-Gon Lee, Sujung Go, and Kyunghwa Lee
Atmos. Meas. Tech., 17, 4317–4335, https://doi.org/10.5194/amt-17-4317-2024, https://doi.org/10.5194/amt-17-4317-2024, 2024
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Information about aerosol loading in the atmosphere can be collected from various satellite instruments. Aerosol products from various satellite instruments have their own error characteristics. This study statistically merged aerosol optical depth datasets from multiple instruments aboard geostationary satellites considering uncertainties. Also, a deep neural network technique is adopted for aerosol data merging.
Christine Pohl, Felix Wrana, Alexei Rozanov, Terry Deshler, Elizaveta Malinina, Christian von Savigny, Landon A. Rieger, Adam E. Bourassa, and John P. Burrows
Atmos. Meas. Tech., 17, 4153–4181, https://doi.org/10.5194/amt-17-4153-2024, https://doi.org/10.5194/amt-17-4153-2024, 2024
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Knowledge of stratospheric aerosol characteristics is important for understanding chemical and climate aerosol feedbacks. Two particle size distribution parameters, the aerosol extinction coefficient and the effective radius, are obtained from SCIAMACHY limb observations. The aerosol characteristics show good agreement with independent data sets from balloon-borne and satellite observations. This data set expands the limited knowledge of stratospheric aerosol characteristics.
Igor Veselovskii, Boris Barchunov, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Mikhail Korenskii, Gaël Dubois, William Boissiere, and Nikita Kasianik
Atmos. Meas. Tech., 17, 4137–4152, https://doi.org/10.5194/amt-17-4137-2024, https://doi.org/10.5194/amt-17-4137-2024, 2024
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The paper presents a new method that categorizes atmospheric aerosols by analyzing their optical properties with a Mie–Raman–fluorescence lidar. The research specifically looks into understanding the presence of smoke, urban, and dust aerosols in the mixtures identified by this lidar. The reliability of the results is evaluated using the Monte Carlo technique. The effectiveness of this approach is successfully demonstrated through testing in ATOLL, an observatory influenced by diverse aerosols.
Fred Prata
Atmos. Meas. Tech., 17, 3751–3764, https://doi.org/10.5194/amt-17-3751-2024, https://doi.org/10.5194/amt-17-3751-2024, 2024
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Geostationary satellite data have been used to measure the stratospheric aerosols from the explosive Hunga volcanic eruption by using the data in a novel way. The onboard imager views part of the Earth's limb and data from this region were analysed to generate vertical cross-sections of aerosols high in the atmosphere. The analyses show the hemispheric spread of the aerosols and their vertical structure in layers from 22–28 km in the stratosphere.
Emmanouil Proestakis, Antonis Gkikas, Thanasis Georgiou, Anna Kampouri, Eleni Drakaki, Claire L. Ryder, Franco Marenco, Eleni Marinou, and Vassilis Amiridis
Atmos. Meas. Tech., 17, 3625–3667, https://doi.org/10.5194/amt-17-3625-2024, https://doi.org/10.5194/amt-17-3625-2024, 2024
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A new four-dimensional, multiyear, and near-global climate data record of the fine-mode (submicrometer diameter) and coarse-mode (supermicrometer diameter) components of atmospheric pure dust is presented. The dataset is considered unique with respect to a wide range of potential applications, including climatological, time series, and trend analysis over extensive geographical domains and temporal periods, validation of atmospheric dust models and datasets, and air quality.
Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos
Atmos. Meas. Tech., 17, 3367–3375, https://doi.org/10.5194/amt-17-3367-2024, https://doi.org/10.5194/amt-17-3367-2024, 2024
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This paper focuses on the use of fluorescence to study aerosols with lidar. An innovative method for aerosol hygroscopic growth study using fluorescence is presented. The paper presents case studies to showcase the effectiveness and potential of the proposed approach. These advancements will contribute to better understanding the interactions between aerosols and water vapor, with future work expected to be dedicated to aerosol–cloud interaction.
Kabseok Ko, Seokheon Cho, and Ramesh R. Rao
Atmos. Meas. Tech., 17, 3303–3322, https://doi.org/10.5194/amt-17-3303-2024, https://doi.org/10.5194/amt-17-3303-2024, 2024
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In our study, we examined how NO2, temperature, and relative humidity influence the calibration of PurpleAir PA-II sensors. We found that incorporating NO2 data from collocated reliable instruments enhances PM2.5 calibration performance. Due to the impracticality of collocating reliable NO2 instruments with sensors, we suggest using distant NO2 data for calibration. We demonstrated that performance improves when distant NO2 correlates highly with collocated NO2 measurements.
Daniel J. V. Robbins, Caroline A. Poulsen, Steven T. Siems, Simon R. Proud, Andrew T. Prata, Roy G. Grainger, and Adam C. Povey
Atmos. Meas. Tech., 17, 3279–3302, https://doi.org/10.5194/amt-17-3279-2024, https://doi.org/10.5194/amt-17-3279-2024, 2024
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Extreme wildfire events are becoming more common with climate change. The smoke plumes associated with these wildfires are not captured by current operational satellite products due to their high optical thickness. We have developed a novel aerosol retrieval for the Advanced Himawari Imager to study these plumes. We find very high values of optical thickness not observed in other operational satellite products, suggesting these plumes have been missed in previous studies.
Viktoria F. Sofieva, Monika Szelag, Johanna Tamminen, Didier Fussen, Christine Bingen, Filip Vanhellemont, Nina Mateshvili, Alexei Rozanov, and Christine Pohl
Atmos. Meas. Tech., 17, 3085–3101, https://doi.org/10.5194/amt-17-3085-2024, https://doi.org/10.5194/amt-17-3085-2024, 2024
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We have developed the new multi-wavelength dataset of aerosol extinction profiles, which are retrieved from the averaged transmittance spectra by the Global Ozone Monitoring by Occultation of Stars instrument aboard Envisat. The retrieved aerosol extinction profiles are provided in the altitude range 10–40 km at 400, 440, 452, 470, 500, 525, 550, 672 and 750 nm for the period 2002–2012. FMI-GOMOSaero aerosol profiles have improved quality; they are in good agreement with other datasets.
Jasper S. Wijnands, Arnoud Apituley, Diego Alves Gouveia, and Jan Willem Noteboom
Atmos. Meas. Tech., 17, 3029–3045, https://doi.org/10.5194/amt-17-3029-2024, https://doi.org/10.5194/amt-17-3029-2024, 2024
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The mixing of air in the lower atmosphere influences the concentration of air pollutants and greenhouse gases. Our study developed a new method, Deep-Pathfinder, to estimate mixing layer height. Deep-Pathfinder analyses imagery with aerosol observations using artificial intelligence techniques for computer vision. Compared to existing methods, it improves temporal consistency and resolution and can be used in real time, which is valuable for aviation, forecasting, and air quality monitoring.
Liang Chang, Jing Li, Jingjing Ren, Changrui Xiong, and Lu Zhang
Atmos. Meas. Tech., 17, 2637–2648, https://doi.org/10.5194/amt-17-2637-2024, https://doi.org/10.5194/amt-17-2637-2024, 2024
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We described a modified lidar inversion algorithm to retrieve aerosol extinction and size distribution simultaneously from two-wavelength elastic lidar measurements. Its major advantage is that the lidar ratio of each layer is determined iteratively by a lidar ratio–Ångström exponent lookup table. The algorithm was applied to the Raman lidar and CALIOP measurements. The retrieved results by our method are in good agreement with those achieved by Raman method.
Zihao Yuan, Guangliang Fu, Bastiaan van Diedenhoven, Hai Xiang Lin, Jan Willem Erisman, and Otto P. Hasekamp
Atmos. Meas. Tech., 17, 2595–2610, https://doi.org/10.5194/amt-17-2595-2024, https://doi.org/10.5194/amt-17-2595-2024, 2024
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Currently, aerosol properties from spaceborne multi-angle polarimeter (MAP) instruments can only be retrieved in cloud-free areas or in areas where an aerosol layer is located above a cloud. Therefore, it is important to be able to identify cloud-free pixels for which an aerosol retrieval algorithm can provide meaningful output. The developed neural network cloud screening demonstrates that cloud masking for MAP aerosol retrieval can be based on the MAP measurements themselves.
Annachiara Bellini, Henri Diémoz, Luca Di Liberto, Gian Paolo Gobbi, Alessandro Bracci, Ferdinando Pasqualini, and Francesca Barnaba
EGUsphere, https://doi.org/10.5194/egusphere-2024-730, https://doi.org/10.5194/egusphere-2024-730, 2024
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The work provides a comprehensive view of the configuration, retrieval algorithms, and relevant applications of the Italian network of Automated Lidar-Ceilometer, Alicenet. It describes the full Alicenet data processing converting raw instrumental data into quantitative aerosol information. It includes relevant examples of the Alicenet derived quantities and their comparison with independent data, and recent examples of the network monitoring potential over Italy.
Hiren T. Jethva, Omar Torres, Richard A. Ferrare, Sharon P. Burton, Anthony L. Cook, David B. Harper, Chris A. Hostetler, Jens Redemann, Vinay Kayetha, Samuel LeBlanc, Kristina Pistone, Logan Mitchell, and Connor J. Flynn
Atmos. Meas. Tech., 17, 2335–2366, https://doi.org/10.5194/amt-17-2335-2024, https://doi.org/10.5194/amt-17-2335-2024, 2024
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We introduce a novel synergy algorithm applied to ORALCES airborne measurements of above-cloud aerosol optical depth and UV–Vis satellite observations from OMI and MODIS to retrieve spectral aerosol single-scattering albedo of lofted layers of carbonaceous smoke aerosols over clouds. The development of the proposed aerosol–cloud algorithm implies a possible synergy of CALIOP and OMI–MODIS passive sensors to deduce a global product of AOD and SSA of absorbing aerosols above clouds.
Travis N. Knepp, Mahesh Kovilakam, Larry Thomason, and Stephen J. Miller
Atmos. Meas. Tech., 17, 2025–2054, https://doi.org/10.5194/amt-17-2025-2024, https://doi.org/10.5194/amt-17-2025-2024, 2024
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An algorithm is presented to derive a new SAGE III/ISS (Stratospheric Aerosol and Gas Experiment III on the International Space Station) Level-2 product: the size distribution of stratospheric particles. This is a significant improvement over previous techniques in that we now provide uncertainty estimates for all inferred parameters. We also evaluated the stability of this method in retrieving bimodal distribution parameters. We present a special application to the 2022 eruption of Hunga Tonga.
Mijin Kim, Robert C. Levy, Lorraine A. Remer, Shana Mattoo, and Pawan Gupta
Atmos. Meas. Tech., 17, 1913–1939, https://doi.org/10.5194/amt-17-1913-2024, https://doi.org/10.5194/amt-17-1913-2024, 2024
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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.
Guangyao Dai, Songhua Wu, Wenrui Long, Jiqiao Liu, Yuan Xie, Kangwen Sun, Fanqian Meng, Xiaoquan Song, Zhongwei Huang, and Weibiao Chen
Atmos. Meas. Tech., 17, 1879–1890, https://doi.org/10.5194/amt-17-1879-2024, https://doi.org/10.5194/amt-17-1879-2024, 2024
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An overview is given of the main algorithms applied to derive the aerosol and cloud optical property product of the Aerosol and Carbon Detection Lidar (ACDL), which is capable of globally profiling aerosol and cloud optical properties with high accuracy. The paper demonstrates the observational capabilities of ACDL for aerosol and cloud vertical structure and global distribution through two optical property product measurement cases and global aerosol optical depth profile observations.
Robert A. Ryan, Mark A. Vaughan, Sharon D. Rodier, Jason L. Tackett, John A. Reagan, Richard A. Ferrare, Johnathan W. Hair, and Brian J. Getzewich
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-23, https://doi.org/10.5194/amt-2024-23, 2024
Revised manuscript accepted for AMT
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This paper introduces Ocean Derived Column Optical Depths (ODCOD), a new way to estimate column optical depths using the CALOP lidar measurements from the ocean surface. ODCOD estimates include contributions from particulates in the full column, which CALIOP estimates do not, making it a compliment measurement to CALIOP’s standard estimates. We find that ODCOD compares well with other established datasets in the daytime but tends to estimate higher at night.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, William Boissiere, Mikhail Korenskiy, Nikita Kasianik, Sergey Khaykyn, and Robin Miri
Atmos. Meas. Tech., 17, 1023–1036, https://doi.org/10.5194/amt-17-1023-2024, https://doi.org/10.5194/amt-17-1023-2024, 2024
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Measurements of transported smoke layers were performed with a lidar in Lille and a five-channel fluorescence lidar in Moscow. Results show the peak of fluorescence in the boundary layer is at 438 nm, while in the smoke layer it shifts to longer wavelengths. The fluorescence depolarization is 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.
Alexei Rozanov, Christine Pohl, Carlo Arosio, Adam Bourassa, Klaus Bramstedt, Elizaveta Malinina, Landon Rieger, and John P. Burrows
EGUsphere, https://doi.org/10.5194/egusphere-2024-358, https://doi.org/10.5194/egusphere-2024-358, 2024
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We developed a new algorithm to retrieve vertical distributions of the aerosol extinction coefficient in the stratosphere. The algorithm is applied to measurements of the scattered solar light form the space borne OMPS-LP (Ozone Mapping and Profiler Suite-Limb Profiler) instrument. The retrieval results are compared to the data from other space borne instruments and used to investigate the evolution of the aerosol plume after the eruption of the Hunga Tonga-Hunga Ha'apai volcano in January 2022.
Viet Le, Hannah Lobo, Ewan J. O'Connor, and Ville Vakkari
Atmos. Meas. Tech., 17, 921–941, https://doi.org/10.5194/amt-17-921-2024, https://doi.org/10.5194/amt-17-921-2024, 2024
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This study offers a long-term overview of aerosol particle depolarization ratio at the wavelength of 1565 nm obtained from vertical profiling measurements by Halo Doppler lidars during 4 years at four different locations across Finland. Our observations support the long-term usage of Halo Doppler lidar depolarization ratio such as the detection of aerosols that may pose a safety risk for aviation. Long-range Saharan dust transport and pollen transport are also showcased here.
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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Aerosols are suspensions of particles dispersed in the air. In this study, we use a novel retrieval of satellite data to investigate an optical property of aerosols, the aerosol optical depth, in the high Arctic to assess their direct and indirect roles in climate change. This study demonstrates that the presented approach shows good quality and very promising potential.
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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We propose analyzing the aerosol composition of plumes emitted by different industrial stacks using PRISMA satellite hyperspectral observations. Three industrial sites have been observed: a coal-fired power plant in South Africa, a steel plant in China, and gas flaring at an oil extraction site in Algeria. Aerosol optical thickness and particle radius are retrieved within the plumes. The mass flow rate of particulate matter is estimated in the plume using the integrated mass enhancement method.
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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In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm is extended with a bi-directional reflection distribution function for snow surfaces. The experiments with both synthetic and real data show that the extended RemoTAP maintains capability for snow-free pixels and has obvious advantages in accuracy and the fraction of successful retrievals for retrieval over snow, especially over surfaces with snow cover > 75 %.
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.
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.
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.
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...