Adjoint inversion modeling of Asian dust emission using lidar observations
A four-dimensional variational (4D-Var) data assimilation system for a regional dust model (RAMS/CFORS-4DVAR; RC4) is applied to an adjoint inversion of a heavy dust event over eastern Asia during 20 March–4 April 2007. The vertical profiles of the dust extinction coefficients derived...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2008-06-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | http://www.atmos-chem-phys.net/8/2869/2008/acp-8-2869-2008.pdf |
| _version_ | 1818119252201177088 |
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| author | K. Yumimoto I. Uno N. Sugimoto A. Shimizu Z. Liu D. M. Winker |
| author_facet | K. Yumimoto I. Uno N. Sugimoto A. Shimizu Z. Liu D. M. Winker |
| author_sort | K. Yumimoto |
| collection | DOAJ |
| description | A four-dimensional variational (4D-Var) data assimilation system for a regional dust model (RAMS/CFORS-4DVAR; RC4) is applied to an adjoint inversion of a heavy dust event over eastern Asia during 20 March–4 April 2007. The vertical profiles of the dust extinction coefficients derived from NIES Lidar network are directly assimilated, with validation using observation data. Two experiments assess impacts of observation site selection: Experiment A uses five Japanese observation sites located downwind of dust source regions; Experiment B uses these and two other sites near source regions. Assimilation improves the modeled dust extinction coefficients. Experiment A and Experiment B assimilation results are mutually consistent, indicating that observations of Experiment A distributed over Japan can provide comprehensive information related to dust emission inversion. Time series data of dust AOT calculated using modeled and Lidar dust extinction coefficients improve the model results. At Seoul, Matsue, and Toyama, assimilation reduces the root mean square differences of dust AOT by 35–40%. However, at Beijing and Tsukuba, the RMS differences degrade because of fewer observations during the heavy dust event. Vertical profiles of the dust layer observed by CALIPSO are compared with assimilation results. The dense dust layer was trapped at potential temperatures (θ) of 280–300 K and was higher toward the north; the model reproduces those characteristics well. Latitudinal distributions of modeled dust AOT along the CALIPSO orbit paths agree well with those of CALIPSO dust AOT, OMI AI, and MODIS coarse-mode AOT, capturing the latitude at which AOTs and AI have high values. Assimilation results show increased dust emissions over the Gobi Desert and Mongolia; especially for 29–30 March, emission flux is about 10 times greater. Strong dust uplift fluxes over the Gobi Desert and Mongolia cause the heavy dust event. Total optimized dust emissions are 57.9 Tg (Experiment A; 57.8% larger than before assimilation) and 56.3 Tg (Experiment B; 53.4% larger). |
| first_indexed | 2024-12-11T05:07:14Z |
| format | Article |
| id | doaj.art-afafcee417b94a45a417cf5af0340e25 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-11T05:07:14Z |
| publishDate | 2008-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-afafcee417b94a45a417cf5af0340e252022-12-22T01:20:00ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242008-06-0181128692884Adjoint inversion modeling of Asian dust emission using lidar observationsK. YumimotoI. UnoN. SugimotoA. ShimizuZ. LiuD. M. WinkerA four-dimensional variational (4D-Var) data assimilation system for a regional dust model (RAMS/CFORS-4DVAR; RC4) is applied to an adjoint inversion of a heavy dust event over eastern Asia during 20 March–4 April 2007. The vertical profiles of the dust extinction coefficients derived from NIES Lidar network are directly assimilated, with validation using observation data. Two experiments assess impacts of observation site selection: Experiment A uses five Japanese observation sites located downwind of dust source regions; Experiment B uses these and two other sites near source regions. Assimilation improves the modeled dust extinction coefficients. Experiment A and Experiment B assimilation results are mutually consistent, indicating that observations of Experiment A distributed over Japan can provide comprehensive information related to dust emission inversion. Time series data of dust AOT calculated using modeled and Lidar dust extinction coefficients improve the model results. At Seoul, Matsue, and Toyama, assimilation reduces the root mean square differences of dust AOT by 35–40%. However, at Beijing and Tsukuba, the RMS differences degrade because of fewer observations during the heavy dust event. Vertical profiles of the dust layer observed by CALIPSO are compared with assimilation results. The dense dust layer was trapped at potential temperatures (θ) of 280–300 K and was higher toward the north; the model reproduces those characteristics well. Latitudinal distributions of modeled dust AOT along the CALIPSO orbit paths agree well with those of CALIPSO dust AOT, OMI AI, and MODIS coarse-mode AOT, capturing the latitude at which AOTs and AI have high values. Assimilation results show increased dust emissions over the Gobi Desert and Mongolia; especially for 29–30 March, emission flux is about 10 times greater. Strong dust uplift fluxes over the Gobi Desert and Mongolia cause the heavy dust event. Total optimized dust emissions are 57.9 Tg (Experiment A; 57.8% larger than before assimilation) and 56.3 Tg (Experiment B; 53.4% larger).http://www.atmos-chem-phys.net/8/2869/2008/acp-8-2869-2008.pdf |
| spellingShingle | K. Yumimoto I. Uno N. Sugimoto A. Shimizu Z. Liu D. M. Winker Adjoint inversion modeling of Asian dust emission using lidar observations Atmospheric Chemistry and Physics |
| title | Adjoint inversion modeling of Asian dust emission using lidar observations |
| title_full | Adjoint inversion modeling of Asian dust emission using lidar observations |
| title_fullStr | Adjoint inversion modeling of Asian dust emission using lidar observations |
| title_full_unstemmed | Adjoint inversion modeling of Asian dust emission using lidar observations |
| title_short | Adjoint inversion modeling of Asian dust emission using lidar observations |
| title_sort | adjoint inversion modeling of asian dust emission using lidar observations |
| url | http://www.atmos-chem-phys.net/8/2869/2008/acp-8-2869-2008.pdf |
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