Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
<p>Aerosol vertical information is critical to quantify the influences of aerosol on the climate and environment; however, large uncertainties still persist in model simulations. In this study, the vertical aerosol extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarizati...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-11-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/19/13445/2019/acp-19-13445-2019.pdf |
| _version_ | 1818505898667016192 |
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| author | Y. Cheng Y. Cheng T. Dai T. Dai D. Goto N. A. J. Schutgens G. Shi G. Shi T. Nakajima |
| author_facet | Y. Cheng Y. Cheng T. Dai T. Dai D. Goto N. A. J. Schutgens G. Shi G. Shi T. Nakajima |
| author_sort | Y. Cheng |
| collection | DOAJ |
| description | <p>Aerosol vertical information is critical to quantify the
influences of aerosol on the climate and environment; however, large
uncertainties still persist in model simulations. In this study, the
vertical aerosol extinction coefficients from the Cloud-Aerosol Lidar with
Orthogonal Polarization (CALIOP) onboard the Cloud–Aerosol Lidar and
Infrared Pathfinder Satellite Observation (CALIPSO) are assimilated to
optimize the hourly aerosol fields of the Non-hydrostatic ICosahedral
Atmospheric Model (NICAM) online coupled with the Spectral Radiation
Transport Model for Aerosol Species (SPRINTARS) using a four-dimensional
local ensemble transform Kalman filter (4-D LETKF). A parallel assimilation
experiment using bias-corrected aerosol optical thicknesses (AOTs) from
the Moderate Resolution Imaging Spectroradiometer (MODIS) is conducted to
investigate the effects of assimilating the observations (and whether to include vertical information) on the model performances. Additionally, an
experiment simultaneously assimilating both CALIOP and MODIS
observations is conducted. The assimilation experiments are successfully
performed for 1 month, making it possible to evaluate the results
in a statistical sense. The hourly analyses are validated via both the
CALIOP-observed aerosol vertical extinction coefficients and the AOT
observations from MODIS and the AErosol RObotic NETwork (AERONET). Our
results reveal that both the CALIOP and MODIS assimilations can improve the model
simulations. The CALIOP assimilation is superior to the MODIS assimilation
in modifying the incorrect aerosol vertical distributions and reproducing
the real magnitudes and variations, and the joint CALIOP and MODIS
assimilation can further improve the simulated aerosol vertical
distribution. However, the MODIS assimilation can better reproduce the AOT
distributions than the CALIOP assimilation, and the inclusion of the CALIOP
observations has an insignificant impact on the AOT analysis. This is
probably due to the nadir-viewing CALIOP having much sparser coverage than
MODIS. The assimilation efficiencies of CALIOP decrease with increasing
distances of the overpass time, indicating that more aerosol vertical
observation platforms are required to fill the sensor-specific observation
gaps and hence improve the aerosol vertical data assimilation.</p> |
| first_indexed | 2024-12-10T21:57:08Z |
| format | Article |
| id | doaj.art-11407315947d4a8d8eee44b5840ff3a8 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-10T21:57:08Z |
| publishDate | 2019-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-11407315947d4a8d8eee44b5840ff3a82022-12-22T01:32:00ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-11-0119134451346710.5194/acp-19-13445-2019Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filterY. Cheng0Y. Cheng1T. Dai2T. Dai3D. Goto4N. A. J. Schutgens5G. Shi6G. Shi7T. Nakajima8Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaNational Institute for Environmental Studies, Tsukuba, JapanFaculty of Science, Free University of Amsterdam, Amsterdam, the NetherlandsCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaEarth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan<p>Aerosol vertical information is critical to quantify the influences of aerosol on the climate and environment; however, large uncertainties still persist in model simulations. In this study, the vertical aerosol extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) are assimilated to optimize the hourly aerosol fields of the Non-hydrostatic ICosahedral Atmospheric Model (NICAM) online coupled with the Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) using a four-dimensional local ensemble transform Kalman filter (4-D LETKF). A parallel assimilation experiment using bias-corrected aerosol optical thicknesses (AOTs) from the Moderate Resolution Imaging Spectroradiometer (MODIS) is conducted to investigate the effects of assimilating the observations (and whether to include vertical information) on the model performances. Additionally, an experiment simultaneously assimilating both CALIOP and MODIS observations is conducted. The assimilation experiments are successfully performed for 1 month, making it possible to evaluate the results in a statistical sense. The hourly analyses are validated via both the CALIOP-observed aerosol vertical extinction coefficients and the AOT observations from MODIS and the AErosol RObotic NETwork (AERONET). Our results reveal that both the CALIOP and MODIS assimilations can improve the model simulations. The CALIOP assimilation is superior to the MODIS assimilation in modifying the incorrect aerosol vertical distributions and reproducing the real magnitudes and variations, and the joint CALIOP and MODIS assimilation can further improve the simulated aerosol vertical distribution. However, the MODIS assimilation can better reproduce the AOT distributions than the CALIOP assimilation, and the inclusion of the CALIOP observations has an insignificant impact on the AOT analysis. This is probably due to the nadir-viewing CALIOP having much sparser coverage than MODIS. The assimilation efficiencies of CALIOP decrease with increasing distances of the overpass time, indicating that more aerosol vertical observation platforms are required to fill the sensor-specific observation gaps and hence improve the aerosol vertical data assimilation.</p>https://www.atmos-chem-phys.net/19/13445/2019/acp-19-13445-2019.pdf |
| spellingShingle | Y. Cheng Y. Cheng T. Dai T. Dai D. Goto N. A. J. Schutgens G. Shi G. Shi T. Nakajima Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Atmospheric Chemistry and Physics |
| title | Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter |
| title_full | Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter |
| title_fullStr | Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter |
| title_full_unstemmed | Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter |
| title_short | Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter |
| title_sort | investigating the assimilation of calipso global aerosol vertical observations using a four dimensional ensemble kalman filter |
| url | https://www.atmos-chem-phys.net/19/13445/2019/acp-19-13445-2019.pdf |
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