Articles | Volume 13, issue 15
https://doi.org/10.5194/acp-13-7895-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-7895-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Aug 2013
Research article |
| 15 Aug 2013
Influence of observed diurnal cycles of aerosol optical depth on aerosol direct radiative effect
A. Arola
Finnish Meteorological Institute, P.O. Box 1627, 70211 Kuopio, Finland
T. F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
J. Huttunen
Finnish Meteorological Institute, P.O. Box 1627, 70211 Kuopio, Finland
K. E. J. Lehtinen
Finnish Meteorological Institute, P.O. Box 1627, 70211 Kuopio, Finland
A. V. Lindfors
Finnish Meteorological Institute, P.O. Box 1627, 70211 Kuopio, Finland
Center for International Climate and Environmental Research – Oslo (CICERO), Oslo, Norway
A. Smirnov
Sigma Space Corporation, Lanham, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
S. N. Tripathi
Department of Civil Engineering, Indian Institute of Technology, Kanpur 208016, India
H. Yu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
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32 citations as recorded by crossref.
- Effect of MODIS Terra radiometric calibration improvements on Collection 6 Deep Blue aerosol products: Validation and Terra/Aqua consistency A. Sayer et al. https://doi.org/10.1002/2015JD023878
- The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj https://doi.org/10.3389/feart.2021.727169
- Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. https://doi.org/10.1175/JCLI-D-19-0669.1
- The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using MAIAC aerosol optical depth Q. He et al. https://doi.org/10.5194/acp-21-18375-2021
- Classification and sources of extremely severe sandstorms mixed with haze pollution in Beijing T. Liu et al. https://doi.org/10.1016/j.envpol.2023.121154
- Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer G. Liu et al. https://doi.org/10.5194/amt-18-6705-2025
- Study on the Lagged Response Mechanism of Vegetation Productivity Under Atypical Anthropogenic Disturbances Based on XGBoost-SHAP J. Sun et al. https://doi.org/10.3390/rs18020300
- Satellite‐retrieved direct radiative forcing of aerosols over North‐East India and adjoining areas: climatology and impact assessment J. Biswas et al. https://doi.org/10.1002/joc.5004
- Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. https://doi.org/10.5194/acp-14-6881-2014
- Impact of aerosol hygroscopic growth on the direct aerosol radiative effect in summer on North China Plain Y. Kuang et al. https://doi.org/10.1016/j.atmosenv.2016.10.013
- Vegetation net primary productivity in urban areas of China responded positively to the COVID-19 lockdown in spring 2020 Y. Li et al. https://doi.org/10.1016/j.scitotenv.2024.169998
- Diurnal variations of aerosol optical properties in the North China Plain and their influences on the estimates of direct aerosol radiative effect Y. Kuang et al. https://doi.org/10.5194/acp-15-5761-2015
- On the influence of the diurnal variations of aerosol content to estimate direct aerosol radiative forcing using MODIS data H. Xu et al. https://doi.org/10.1016/j.atmosenv.2016.06.067
- Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. https://doi.org/10.5194/amt-11-925-2018
- Human activity’s impact on urban vegetation in China during the COVID-19 lockdown: An atypical anthropogenic disturbance Y. Li et al. https://doi.org/10.1016/j.isci.2025.112195
- Daytime variation of aerosol optical depth in North China and its impact on aerosol direct radiative effects J. Song et al. https://doi.org/10.1016/j.atmosenv.2018.03.024
- Estimation of aerosol radiative effects on terrestrial gross primary productivity and water use efficiency using process-based model and satellite data Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2020.105245
- Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites P. Gupta et al. https://doi.org/10.5194/amt-17-5455-2024
- Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia F. Tan et al. https://doi.org/10.5194/acp-15-3755-2015
- All-sky direct aerosol radiative effects estimated from integrated A-Train satellite measurements M. Kacenelenbogen et al. https://doi.org/10.5194/acp-25-15875-2025
- Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME) W. Sessions et al. https://doi.org/10.5194/acp-15-335-2015
- AeroTrans: Hourly AOD retrieval over land from MSG-1/SEVIRI imagery integrating Transformer and transfer learning Y. Fan et al. https://doi.org/10.1016/j.rse.2026.115268
- Estimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensors M. Kacenelenbogen et al. https://doi.org/10.5194/acp-19-4933-2019
- On the use of a satellite remote-sensing-based approach for determining aerosol direct radiative effect over land: a case study over China A. Sundström et al. https://doi.org/10.5194/acp-15-505-2015
- Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing J. Guo et al. https://doi.org/10.1016/j.envpol.2016.11.043
- Diurnal aerosol variations do affect daily averaged radiative forcing under heavy aerosol loading observed in Hefei, China Z. Wang et al. https://doi.org/10.5194/amt-8-2901-2015
- Influences of Cloud Microphysics on the Components of Solar Irradiance in the WRF-Solar Model X. Zhou et al. https://doi.org/10.3390/atmos15010039
- LASER SCANNING OPTIMIZATION TO DETERMINE THE ROUTE OF LAYING <https://translate.academic.ru/laying%20of%20pipeline/ru/en/> OIL AND GAS PIPELINES R. Eminov & E. Huseynli https://doi.org/10.17122/ntj-oil-2019-2-91-96
- Effects of aerosol and cloud on global gross primary productivity M. Zhang et al. https://doi.org/10.1016/j.jclepro.2025.147385
- Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Q. Du et al. https://doi.org/10.5194/acp-20-2839-2020
- Climatological aspects of size-resolved column aerosol optical properties over a rural site in the southern peninsular India B. Madhavan et al. https://doi.org/10.1016/j.atmosres.2020.105345
- On the influence of cloud fraction diurnal cycle and sub-grid cloud optical thickness variability on all-sky direct aerosol radiative forcing M. Min & Z. Zhang https://doi.org/10.1016/j.jqsrt.2014.03.014
32 citations as recorded by crossref.
- Effect of MODIS Terra radiometric calibration improvements on Collection 6 Deep Blue aerosol products: Validation and Terra/Aqua consistency A. Sayer et al. https://doi.org/10.1002/2015JD023878
- The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj https://doi.org/10.3389/feart.2021.727169
- Aerosol Direct Radiative Effect Sensitivity Analysis T. Thorsen et al. https://doi.org/10.1175/JCLI-D-19-0669.1
- The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using MAIAC aerosol optical depth Q. He et al. https://doi.org/10.5194/acp-21-18375-2021
- Classification and sources of extremely severe sandstorms mixed with haze pollution in Beijing T. Liu et al. https://doi.org/10.1016/j.envpol.2023.121154
- Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer G. Liu et al. https://doi.org/10.5194/amt-18-6705-2025
- Study on the Lagged Response Mechanism of Vegetation Productivity Under Atypical Anthropogenic Disturbances Based on XGBoost-SHAP J. Sun et al. https://doi.org/10.3390/rs18020300
- Satellite‐retrieved direct radiative forcing of aerosols over North‐East India and adjoining areas: climatology and impact assessment J. Biswas et al. https://doi.org/10.1002/joc.5004
- Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. https://doi.org/10.5194/acp-14-6881-2014
- Impact of aerosol hygroscopic growth on the direct aerosol radiative effect in summer on North China Plain Y. Kuang et al. https://doi.org/10.1016/j.atmosenv.2016.10.013
- Vegetation net primary productivity in urban areas of China responded positively to the COVID-19 lockdown in spring 2020 Y. Li et al. https://doi.org/10.1016/j.scitotenv.2024.169998
- Diurnal variations of aerosol optical properties in the North China Plain and their influences on the estimates of direct aerosol radiative effect Y. Kuang et al. https://doi.org/10.5194/acp-15-5761-2015
- On the influence of the diurnal variations of aerosol content to estimate direct aerosol radiative forcing using MODIS data H. Xu et al. https://doi.org/10.1016/j.atmosenv.2016.06.067
- Collocation mismatch uncertainties in satellite aerosol retrieval validation T. Virtanen et al. https://doi.org/10.5194/amt-11-925-2018
- Human activity’s impact on urban vegetation in China during the COVID-19 lockdown: An atypical anthropogenic disturbance Y. Li et al. https://doi.org/10.1016/j.isci.2025.112195
- Daytime variation of aerosol optical depth in North China and its impact on aerosol direct radiative effects J. Song et al. https://doi.org/10.1016/j.atmosenv.2018.03.024
- Estimation of aerosol radiative effects on terrestrial gross primary productivity and water use efficiency using process-based model and satellite data Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2020.105245
- Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites P. Gupta et al. https://doi.org/10.5194/amt-17-5455-2024
- Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia F. Tan et al. https://doi.org/10.5194/acp-15-3755-2015
- All-sky direct aerosol radiative effects estimated from integrated A-Train satellite measurements M. Kacenelenbogen et al. https://doi.org/10.5194/acp-25-15875-2025
- Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME) W. Sessions et al. https://doi.org/10.5194/acp-15-335-2015
- AeroTrans: Hourly AOD retrieval over land from MSG-1/SEVIRI imagery integrating Transformer and transfer learning Y. Fan et al. https://doi.org/10.1016/j.rse.2026.115268
- Estimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensors M. Kacenelenbogen et al. https://doi.org/10.5194/acp-19-4933-2019
- On the use of a satellite remote-sensing-based approach for determining aerosol direct radiative effect over land: a case study over China A. Sundström et al. https://doi.org/10.5194/acp-15-505-2015
- Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing J. Guo et al. https://doi.org/10.1016/j.envpol.2016.11.043
- Diurnal aerosol variations do affect daily averaged radiative forcing under heavy aerosol loading observed in Hefei, China Z. Wang et al. https://doi.org/10.5194/amt-8-2901-2015
- Influences of Cloud Microphysics on the Components of Solar Irradiance in the WRF-Solar Model X. Zhou et al. https://doi.org/10.3390/atmos15010039
- LASER SCANNING OPTIMIZATION TO DETERMINE THE ROUTE OF LAYING <https://translate.academic.ru/laying%20of%20pipeline/ru/en/> OIL AND GAS PIPELINES R. Eminov & E. Huseynli https://doi.org/10.17122/ntj-oil-2019-2-91-96
- Effects of aerosol and cloud on global gross primary productivity M. Zhang et al. https://doi.org/10.1016/j.jclepro.2025.147385
- Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission Q. Du et al. https://doi.org/10.5194/acp-20-2839-2020
- Climatological aspects of size-resolved column aerosol optical properties over a rural site in the southern peninsular India B. Madhavan et al. https://doi.org/10.1016/j.atmosres.2020.105345
- On the influence of cloud fraction diurnal cycle and sub-grid cloud optical thickness variability on all-sky direct aerosol radiative forcing M. Min & Z. Zhang https://doi.org/10.1016/j.jqsrt.2014.03.014
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