A multi-model evaluation of aerosols over South Asia: common problems and possible causes
Atmospheric pollution over South Asia attracts special attention due to its effects on regional climate, water cycle and human health. These effects are potentially growing owing to rising trends of anthropogenic aerosol emissions. In this study, the spatio-temporal aerosol distributions over South...
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ftdatacite:10.7916/d8542npj 2023-05-15T13:07:13+02:00 A multi-model evaluation of aerosols over South Asia: common problems and possible causes Pan, X. Chin, M. Gautam, R. Bian, H. Kim, D. Colarco, P. R. Diehl, T. L. Takemura, T. Pozzoli, L. Tsigaridis, Konstantinos Bauer, Susanne E. Bellouin, N. 2015 https://dx.doi.org/10.7916/d8542npj https://academiccommons.columbia.edu/doi/10.7916/D8542NPJ unknown Columbia University https://dx.doi.org/10.5194/acp-15-5903-2015 Climatic changes--Effect of human beings on Aerosols--Measurement Aerosols--Mathematical models Atmospheric aerosols Atmosphere Text Articles article-journal ScholarlyArticle 2015 ftdatacite https://doi.org/10.7916/d8542npj https://doi.org/10.5194/acp-15-5903-2015 2021-11-05T12:55:41Z Atmospheric pollution over South Asia attracts special attention due to its effects on regional climate, water cycle and human health. These effects are potentially growing owing to rising trends of anthropogenic aerosol emissions. In this study, the spatio-temporal aerosol distributions over South Asia from seven global aerosol models are evaluated against aerosol retrievals from NASA satellite sensors and ground-based measurements for the period of 2000–2007. Overall, substantial underestimations of aerosol loading over South Asia are found systematically in most model simulations. Averaged over the entire South Asia, the annual mean aerosol optical depth (AOD) is underestimated by a range 15 to 44% across models compared to MISR (Multi-angle Imaging SpectroRadiometer), which is the lowest bound among various satellite AOD retrievals (from MISR, SeaWiFS (Sea-Viewing Wide Field-of-View Sensor), MODIS (Moderate Resolution Imaging Spectroradiometer) Aqua and Terra). In particular during the post-monsoon and wintertime periods (i.e., October–January), when agricultural waste burning and anthropogenic emissions dominate, models fail to capture AOD and aerosol absorption optical depth (AAOD) over the Indo–Gangetic Plain (IGP) compared to ground-based Aerosol Robotic Network (AERONET) sunphotometer measurements. The underestimations of aerosol loading in models generally occur in the lower troposphere (below 2 km) based on the comparisons of aerosol extinction profiles calculated by the models with those from Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) data. Furthermore, surface concentrations of all aerosol components (sulfate, nitrate, organic aerosol (OA) and black carbon (BC)) from the models are found much lower than in situ measurements in winter. Several possible causes for these common problems of underestimating aerosols in models during the post-monsoon and wintertime periods are identified: the aerosol hygroscopic growth and formation of secondary inorganic aerosol are suppressed in the models because relative humidity (RH) is biased far too low in the boundary layer and thus foggy conditions are poorly represented in current models, the nitrate aerosol is either missing or inadequately accounted for, and emissions from agricultural waste burning and biofuel usage are too low in the emission inventories. These common problems and possible causes found in multiple models point out directions for future model improvements in this important region. Text Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Climatic changes--Effect of human beings on Aerosols--Measurement Aerosols--Mathematical models Atmospheric aerosols Atmosphere |
spellingShingle |
Climatic changes--Effect of human beings on Aerosols--Measurement Aerosols--Mathematical models Atmospheric aerosols Atmosphere Pan, X. Chin, M. Gautam, R. Bian, H. Kim, D. Colarco, P. R. Diehl, T. L. Takemura, T. Pozzoli, L. Tsigaridis, Konstantinos Bauer, Susanne E. Bellouin, N. A multi-model evaluation of aerosols over South Asia: common problems and possible causes |
topic_facet |
Climatic changes--Effect of human beings on Aerosols--Measurement Aerosols--Mathematical models Atmospheric aerosols Atmosphere |
description |
Atmospheric pollution over South Asia attracts special attention due to its effects on regional climate, water cycle and human health. These effects are potentially growing owing to rising trends of anthropogenic aerosol emissions. In this study, the spatio-temporal aerosol distributions over South Asia from seven global aerosol models are evaluated against aerosol retrievals from NASA satellite sensors and ground-based measurements for the period of 2000–2007. Overall, substantial underestimations of aerosol loading over South Asia are found systematically in most model simulations. Averaged over the entire South Asia, the annual mean aerosol optical depth (AOD) is underestimated by a range 15 to 44% across models compared to MISR (Multi-angle Imaging SpectroRadiometer), which is the lowest bound among various satellite AOD retrievals (from MISR, SeaWiFS (Sea-Viewing Wide Field-of-View Sensor), MODIS (Moderate Resolution Imaging Spectroradiometer) Aqua and Terra). In particular during the post-monsoon and wintertime periods (i.e., October–January), when agricultural waste burning and anthropogenic emissions dominate, models fail to capture AOD and aerosol absorption optical depth (AAOD) over the Indo–Gangetic Plain (IGP) compared to ground-based Aerosol Robotic Network (AERONET) sunphotometer measurements. The underestimations of aerosol loading in models generally occur in the lower troposphere (below 2 km) based on the comparisons of aerosol extinction profiles calculated by the models with those from Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) data. Furthermore, surface concentrations of all aerosol components (sulfate, nitrate, organic aerosol (OA) and black carbon (BC)) from the models are found much lower than in situ measurements in winter. Several possible causes for these common problems of underestimating aerosols in models during the post-monsoon and wintertime periods are identified: the aerosol hygroscopic growth and formation of secondary inorganic aerosol are suppressed in the models because relative humidity (RH) is biased far too low in the boundary layer and thus foggy conditions are poorly represented in current models, the nitrate aerosol is either missing or inadequately accounted for, and emissions from agricultural waste burning and biofuel usage are too low in the emission inventories. These common problems and possible causes found in multiple models point out directions for future model improvements in this important region. |
format |
Text |
author |
Pan, X. Chin, M. Gautam, R. Bian, H. Kim, D. Colarco, P. R. Diehl, T. L. Takemura, T. Pozzoli, L. Tsigaridis, Konstantinos Bauer, Susanne E. Bellouin, N. |
author_facet |
Pan, X. Chin, M. Gautam, R. Bian, H. Kim, D. Colarco, P. R. Diehl, T. L. Takemura, T. Pozzoli, L. Tsigaridis, Konstantinos Bauer, Susanne E. Bellouin, N. |
author_sort |
Pan, X. |
title |
A multi-model evaluation of aerosols over South Asia: common problems and possible causes |
title_short |
A multi-model evaluation of aerosols over South Asia: common problems and possible causes |
title_full |
A multi-model evaluation of aerosols over South Asia: common problems and possible causes |
title_fullStr |
A multi-model evaluation of aerosols over South Asia: common problems and possible causes |
title_full_unstemmed |
A multi-model evaluation of aerosols over South Asia: common problems and possible causes |
title_sort |
multi-model evaluation of aerosols over south asia: common problems and possible causes |
publisher |
Columbia University |
publishDate |
2015 |
url |
https://dx.doi.org/10.7916/d8542npj https://academiccommons.columbia.edu/doi/10.7916/D8542NPJ |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
https://dx.doi.org/10.5194/acp-15-5903-2015 |
op_doi |
https://doi.org/10.7916/d8542npj https://doi.org/10.5194/acp-15-5903-2015 |
_version_ |
1766041026467725312 |