Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets

Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets

<p>Atmospheric aerosols play a crucial role in regional radiative budgets. Previous studies on clear-sky aerosol direct radiative forcing (ADRF) have mainly been limited to site-scale observations or model simulations for short-term cases, and long-term distributions of ADRF in China have not...

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Main Authors: Y. Wang, R. Lyu, X. Xie, Z. Meng, M. Huang, J. Wu, H. Mu, Q.-R. Yu, Q. He, T. Cheng
Format: Article
Language:English
Published: Copernicus Publications 2020-02-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/13/575/2020/amt-13-575-2020.pdf
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language English
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author Y. Wang
R. Lyu
X. Xie
Z. Meng
M. Huang
J. Wu
H. Mu
Q.-R. Yu
Q. He
Q. He
T. Cheng
T. Cheng
T. Cheng
spellingShingle Y. Wang
R. Lyu
X. Xie
Z. Meng
M. Huang
J. Wu
H. Mu
Q.-R. Yu
Q. He
Q. He
T. Cheng
T. Cheng
T. Cheng
Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
Atmospheric Measurement Techniques
author_facet Y. Wang
R. Lyu
X. Xie
Z. Meng
M. Huang
J. Wu
H. Mu
Q.-R. Yu
Q. He
Q. He
T. Cheng
T. Cheng
T. Cheng
author_sort Y. Wang
title Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
title_short Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
title_full Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
title_fullStr Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
title_full_unstemmed Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
title_sort retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2020-02-01
description <p>Atmospheric aerosols play a crucial role in regional radiative budgets. Previous studies on clear-sky aerosol direct radiative forcing (ADRF) have mainly been limited to site-scale observations or model simulations for short-term cases, and long-term distributions of ADRF in China have not been portrayed yet. In this study, an accurate fine-resolution ADRF estimate at the surface was proposed. Multiplatform datasets, including satellite (MODIS aboard Terra and Aqua) and reanalysis datasets, served as inputs to the Santa Barbara Discrete Atmospheric Radiative Transfer (SBDART) model for ADRF simulation with consideration of the aerosol vertical profile over eastern China during 2000–2016. Specifically, single-scattering albedo (SSA) from the Modern-Era Retrospective Analysis for Research and Application, Version 2 (MERRA-2) was validated with sun photometers over eastern China. The gridded asymmetry parameter (ASY) was then simulated by matching the calculated top-of-atmosphere (TOA) radiative fluxes from the radiative transfer model with satellite observations (Clouds and the Earth's Radiant Energy System, CERES). The high correlation and small discrepancy (6–8&thinsp;W&thinsp;m<span class="inline-formula"><sup>−2</sup></span>) between simulated and observed radiative fluxes at three sites (Baoshan, Fuzhou, and Yong'an) indicated that ADRF retrieval is feasible and has high accuracy over eastern China. Then this method was applied in each grid of eastern China, and the overall picture of ADRF distributions over eastern China during 2000–2016 was displayed. ADRF ranges from <span class="inline-formula">−220</span> to <span class="inline-formula">−20</span>&thinsp;W&thinsp;m<span class="inline-formula"><sup>−2</sup></span>, and annual mean ADRF is <span class="inline-formula">−100.21</span>&thinsp;W&thinsp;m<span class="inline-formula"><sup>−2</sup></span>, implying that aerosols have a strong cooling effect at the surface in eastern China. With the economic development and rapid urbanization, the spatiotemporal changes of ADRF during the past 17 years are mainly attributed to the changes of anthropogenic emissions in eastern China. Our method provides the long-term ADRF distribution over eastern China for the first time, highlighting the importance of aerosol radiative impact under climate change.</p>
url https://www.atmos-meas-tech.net/13/575/2020/amt-13-575-2020.pdf
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spelling doaj-be743d7646e14e47b43f36cb4b9efc8a2020-11-25T02:10:28ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482020-02-011357559210.5194/amt-13-575-2020Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasetsY. Wang0R. Lyu1X. Xie2Z. Meng3M. Huang4J. Wu5H. Mu6Q.-R. Yu7Q. He8Q. He9T. Cheng10T. Cheng11T. Cheng12Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, ChinaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, ChinaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, ChinaSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, 200030, ChinaFujian Meteorological Observatory, Fuzhou, 350001, ChinaShanghai Meteorological Service, Shanghai, 200030, ChinaShanghai Meteorological Service, Shanghai, 200030, ChinaKey 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, ChinaShanghai Meteorological Service, Shanghai, 200030, ChinaShanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, ChinaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, ChinaDepartment of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, ChinaShanghai Institute of Eco-Chongming (SIEC), Shanghai, 200062, China<p>Atmospheric aerosols play a crucial role in regional radiative budgets. Previous studies on clear-sky aerosol direct radiative forcing (ADRF) have mainly been limited to site-scale observations or model simulations for short-term cases, and long-term distributions of ADRF in China have not been portrayed yet. In this study, an accurate fine-resolution ADRF estimate at the surface was proposed. Multiplatform datasets, including satellite (MODIS aboard Terra and Aqua) and reanalysis datasets, served as inputs to the Santa Barbara Discrete Atmospheric Radiative Transfer (SBDART) model for ADRF simulation with consideration of the aerosol vertical profile over eastern China during 2000–2016. Specifically, single-scattering albedo (SSA) from the Modern-Era Retrospective Analysis for Research and Application, Version 2 (MERRA-2) was validated with sun photometers over eastern China. The gridded asymmetry parameter (ASY) was then simulated by matching the calculated top-of-atmosphere (TOA) radiative fluxes from the radiative transfer model with satellite observations (Clouds and the Earth's Radiant Energy System, CERES). The high correlation and small discrepancy (6–8&thinsp;W&thinsp;m<span class="inline-formula"><sup>−2</sup></span>) between simulated and observed radiative fluxes at three sites (Baoshan, Fuzhou, and Yong'an) indicated that ADRF retrieval is feasible and has high accuracy over eastern China. Then this method was applied in each grid of eastern China, and the overall picture of ADRF distributions over eastern China during 2000–2016 was displayed. ADRF ranges from <span class="inline-formula">−220</span> to <span class="inline-formula">−20</span>&thinsp;W&thinsp;m<span class="inline-formula"><sup>−2</sup></span>, and annual mean ADRF is <span class="inline-formula">−100.21</span>&thinsp;W&thinsp;m<span class="inline-formula"><sup>−2</sup></span>, implying that aerosols have a strong cooling effect at the surface in eastern China. With the economic development and rapid urbanization, the spatiotemporal changes of ADRF during the past 17 years are mainly attributed to the changes of anthropogenic emissions in eastern China. Our method provides the long-term ADRF distribution over eastern China for the first time, highlighting the importance of aerosol radiative impact under climate change.</p>https://www.atmos-meas-tech.net/13/575/2020/amt-13-575-2020.pdf

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