TY - JOUR
T1 - Comparison of aerosol optical depth between observation and simulation from MIROC-SPRINTARS
T2 - Effects of temporal inhomogeneous sampling
AU - Park, Sang Seo
AU - Takemura, Toshihiko
AU - Kim, Sang Woo
N1 - Funding Information:
This work was supported by a National Research Foundation (NRF) of Korea (Grant No. 2017R1C1B1005874) and the National Strategic Project-Fine Particle of the NRF funded by the Ministry of Science and ICT (MSIT), the Ministry of Environment, and the Ministry of Health and Welfare (Grant No. NRF-2017M3D8A1092021). In addition, Environment Research and Technology Development Fund (S-12-3) of the Environmental Restoration and Conservation Agency, Japan, and JSPS KAKENHI (Grant No. JP15H01728) are supported to the work. For the support of MIROC-SPRINTARS calculation, it is supported by the Supercomputer system of the National Institute for Environmental Studies, Japan.
Funding Information:
This work was supported by a National Research Foundation (NRF) of Korea (Grant No. 2017R1C1B1005874 ) and the National Strategic Project-Fine Particle of the NRF funded by the Ministry of Science and ICT (MSIT) , the Ministry of Environment , and the Ministry of Health and Welfare (Grant No. NRF-2017M3D8A1092021 ). In addition, Environment Research and Technology Development Fund (S-12-3) of the Environmental Restoration and Conservation Agency, Japan, and JSPS KAKENHI (Grant No. JP15H01728 ) are supported to the work. For the support of MIROC-SPRINTARS calculation, it is supported by the Supercomputer system of the National Institute for Environmental Studies, Japan.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - The global distribution of aerosol optical depth (AOD) is simulated using an aerosol transport model coupled to an atmospheric general circulation model with high spatial and temporal resolution. Daily representative AOD from model simulation is estimated after consideration of observation sampling in daytime (ground-based) and overpass time (satellite) after cloud masking. Large deviations in AOD are found after considering temporally inhomogeneous sampling, with positive differences over desert regions and negative differences over anthropogenic pollution and biomass burning regions. Mean difference in daily AOD of 5.33% (standard deviation of 8.02%), because of temporal inhomogeneous sampling, is identified based on observation time information from the Moderate-Resolution Imaging Spectroradiometer (MODIS). Relative differences in AOD of >50% and >30% were found in 7.9% and 22.8% of the data, respectively. Based on the observation time information from the AERONET, relative root mean square error (rRMSE) of AOD due to temporal inhomogeneous sampling is estimated to be 4.30–18.66%. After correcting for temporal sampling inhomogeneity, the simulated global AOD was compared with AODs from MODIS and AERONET. The simulated AOD becomes lower than MODIS AOD because of emission and transport discrepancies related to dust, a limited accounting of nitrate processes, and limitation errors from MODIS AOD retrieval. A regional positive bias in SPRINTARS AOD was found in biomass burning regions, which is due to transport pattern errors related to the initial injection height of emissions. A weak correlation is found over the regions with multiple aerosol sources because of complex interactions of individual aerosol types.
AB - The global distribution of aerosol optical depth (AOD) is simulated using an aerosol transport model coupled to an atmospheric general circulation model with high spatial and temporal resolution. Daily representative AOD from model simulation is estimated after consideration of observation sampling in daytime (ground-based) and overpass time (satellite) after cloud masking. Large deviations in AOD are found after considering temporally inhomogeneous sampling, with positive differences over desert regions and negative differences over anthropogenic pollution and biomass burning regions. Mean difference in daily AOD of 5.33% (standard deviation of 8.02%), because of temporal inhomogeneous sampling, is identified based on observation time information from the Moderate-Resolution Imaging Spectroradiometer (MODIS). Relative differences in AOD of >50% and >30% were found in 7.9% and 22.8% of the data, respectively. Based on the observation time information from the AERONET, relative root mean square error (rRMSE) of AOD due to temporal inhomogeneous sampling is estimated to be 4.30–18.66%. After correcting for temporal sampling inhomogeneity, the simulated global AOD was compared with AODs from MODIS and AERONET. The simulated AOD becomes lower than MODIS AOD because of emission and transport discrepancies related to dust, a limited accounting of nitrate processes, and limitation errors from MODIS AOD retrieval. A regional positive bias in SPRINTARS AOD was found in biomass burning regions, which is due to transport pattern errors related to the initial injection height of emissions. A weak correlation is found over the regions with multiple aerosol sources because of complex interactions of individual aerosol types.
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U2 - 10.1016/j.atmosenv.2018.05.021
DO - 10.1016/j.atmosenv.2018.05.021
M3 - Article
AN - SCOPUS:85047062268
SN - 1352-2310
VL - 186
SP - 56
EP - 73
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -