Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite
Abstract Accurate forecast of the thermospheric density is critical to the space community. The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. In this study, a physics‐based assimilat...
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Wiley
2020-08-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2020SW002504 |
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| author | Dexin Ren Jiuhou Lei |
| author_facet | Dexin Ren Jiuhou Lei |
| author_sort | Dexin Ren |
| collection | DOAJ |
| description | Abstract Accurate forecast of the thermospheric density is critical to the space community. The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. In this study, a physics‐based assimilation system (hereafter referred to as PIDA) that is based on the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model was used to validate the capability of reproducing the evolution of the global thermosphere state. The effective solar and geophysical drivers were estimated by ingesting neutral density from a single satellite into the PIDA. It was found that the PIDA can reproduce the temporal variation of the global thermospheric density at around the altitude where the orbit density was ingested. Furthermore, the PIDA is also capable of capturing the temporal evolution of the thermospheric density at various altitudes. However, a systematic bias, depending on altitude, is seen in the modeled neutral density of the PIDA. Moreover, this systematic bias in the thermospheric density is likely ascribed to the overestimation of the density in the lower thermosphere. Consequently, the spatial and temporal evolutions of the lower thermosphere under various conditions should be considered carefully in the physics‐based data assimilation system. Additionally, the assessments of the obtained results suggested that the observations of multiple parameters at different altitudes are required to be assimilated into the thermospheric model. |
| format | Article |
| id | doaj-art-d1498c0bf0f74cd2a48b2d8e97a1ec48 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2020-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-d1498c0bf0f74cd2a48b2d8e97a1ec482025-01-14T16:27:12ZengWileySpace Weather1542-73902020-08-01188n/an/a10.1029/2020SW002504Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single SatelliteDexin Ren0Jiuhou Lei1CAS Key Laboratory of Geospace Environment, School of Earth and Space Sciences University of Science and Technology of China Hefei ChinaCAS Key Laboratory of Geospace Environment, School of Earth and Space Sciences University of Science and Technology of China Hefei ChinaAbstract Accurate forecast of the thermospheric density is critical to the space community. The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. In this study, a physics‐based assimilation system (hereafter referred to as PIDA) that is based on the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model was used to validate the capability of reproducing the evolution of the global thermosphere state. The effective solar and geophysical drivers were estimated by ingesting neutral density from a single satellite into the PIDA. It was found that the PIDA can reproduce the temporal variation of the global thermospheric density at around the altitude where the orbit density was ingested. Furthermore, the PIDA is also capable of capturing the temporal evolution of the thermospheric density at various altitudes. However, a systematic bias, depending on altitude, is seen in the modeled neutral density of the PIDA. Moreover, this systematic bias in the thermospheric density is likely ascribed to the overestimation of the density in the lower thermosphere. Consequently, the spatial and temporal evolutions of the lower thermosphere under various conditions should be considered carefully in the physics‐based data assimilation system. Additionally, the assessments of the obtained results suggested that the observations of multiple parameters at different altitudes are required to be assimilated into the thermospheric model.https://doi.org/10.1029/2020SW002504data assimilationphysics basedthermospheremass densitycompositiontemperature |
| spellingShingle | Dexin Ren Jiuhou Lei Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite Space Weather data assimilation physics based thermosphere mass density composition temperature |
| title | Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite |
| title_full | Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite |
| title_fullStr | Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite |
| title_full_unstemmed | Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite |
| title_short | Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite |
| title_sort | evaluation of physics based data assimilation system driven by neutral density data from a single satellite |
| topic | data assimilation physics based thermosphere mass density composition temperature |
| url | https://doi.org/10.1029/2020SW002504 |
| work_keys_str_mv | AT dexinren evaluationofphysicsbaseddataassimilationsystemdrivenbyneutraldensitydatafromasinglesatellite AT jiuhoulei evaluationofphysicsbaseddataassimilationsystemdrivenbyneutraldensitydatafromasinglesatellite |