Qualitative and Quantitative Assessment of the SET HASDM Database
Abstract The High Accuracy Satellite Drag Model (HASDM) is the operational thermospheric density model used by the US Space Force Combined Space Operations Center. By using real‐time data assimilation, HASDM can provide density estimates with increased accuracy over other empirical models. With hist...
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| Format: | Article |
| Language: | English |
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Wiley
2021-08-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2021SW002798 |
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| author | Richard J. Licata Piyush M. Mehta W. Kent Tobiska Bruce R. Bowman Marcin D. Pilinski |
| author_facet | Richard J. Licata Piyush M. Mehta W. Kent Tobiska Bruce R. Bowman Marcin D. Pilinski |
| author_sort | Richard J. Licata |
| collection | DOAJ |
| description | Abstract The High Accuracy Satellite Drag Model (HASDM) is the operational thermospheric density model used by the US Space Force Combined Space Operations Center. By using real‐time data assimilation, HASDM can provide density estimates with increased accuracy over other empirical models. With historical HASDM density data being released publicly for the first time, we can analyze the data to compare dominant modes of variability in the upper atmosphere as modeled by HASDM and the Jacchia‐Bowman 2008 Empirical Thermospheric Density Model (JB2008), a Jacchia family model upon which density corrections are made as a part of the HASDM framework. This model comparison is conducted through the use of principal component analysis (PCA) which shows the increased variability of the HASDM dataset. We highlight HASDM's ability to capture the movement of lighter species during solar minimum conditions, unlike many empirical models. We then compare density from both models to the CHAllenging Minisatellite Payload (CHAMP) and Gravity Recovery and Climate Experiment (GRACE) accelerometer‐derived density estimates. This comparison shows that HASDM more closely matches the accelerometer‐derived densities with mean absolute differences of 30.93% compared to CHAMP and GRACE‐A, respectively. The comparison also reveals improved representation of cooling mechanisms due to NO and CO2 by the HASDM database. |
| format | Article |
| id | doaj-art-16d36bf7c38440b69c8b0cb22623ecdf |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-16d36bf7c38440b69c8b0cb22623ecdf2025-01-14T16:30:28ZengWileySpace Weather1542-73902021-08-01198n/an/a10.1029/2021SW002798Qualitative and Quantitative Assessment of the SET HASDM DatabaseRichard J. Licata0Piyush M. Mehta1W. Kent Tobiska2Bruce R. Bowman3Marcin D. Pilinski4Department of Mechanical and Aerospace Engineering West Virginia University Morgantown WV USADepartment of Mechanical and Aerospace Engineering West Virginia University Morgantown WV USASpace Environment Technologies Pacific Palisades CA USASpace Environment Technologies Pacific Palisades CA USAFreestream Boulder CO USAAbstract The High Accuracy Satellite Drag Model (HASDM) is the operational thermospheric density model used by the US Space Force Combined Space Operations Center. By using real‐time data assimilation, HASDM can provide density estimates with increased accuracy over other empirical models. With historical HASDM density data being released publicly for the first time, we can analyze the data to compare dominant modes of variability in the upper atmosphere as modeled by HASDM and the Jacchia‐Bowman 2008 Empirical Thermospheric Density Model (JB2008), a Jacchia family model upon which density corrections are made as a part of the HASDM framework. This model comparison is conducted through the use of principal component analysis (PCA) which shows the increased variability of the HASDM dataset. We highlight HASDM's ability to capture the movement of lighter species during solar minimum conditions, unlike many empirical models. We then compare density from both models to the CHAllenging Minisatellite Payload (CHAMP) and Gravity Recovery and Climate Experiment (GRACE) accelerometer‐derived density estimates. This comparison shows that HASDM more closely matches the accelerometer‐derived densities with mean absolute differences of 30.93% compared to CHAMP and GRACE‐A, respectively. The comparison also reveals improved representation of cooling mechanisms due to NO and CO2 by the HASDM database.https://doi.org/10.1029/2021SW002798assimilative modelneutral mass densityprincipal component analysisthermosphere |
| spellingShingle | Richard J. Licata Piyush M. Mehta W. Kent Tobiska Bruce R. Bowman Marcin D. Pilinski Qualitative and Quantitative Assessment of the SET HASDM Database Space Weather assimilative model neutral mass density principal component analysis thermosphere |
| title | Qualitative and Quantitative Assessment of the SET HASDM Database |
| title_full | Qualitative and Quantitative Assessment of the SET HASDM Database |
| title_fullStr | Qualitative and Quantitative Assessment of the SET HASDM Database |
| title_full_unstemmed | Qualitative and Quantitative Assessment of the SET HASDM Database |
| title_short | Qualitative and Quantitative Assessment of the SET HASDM Database |
| title_sort | qualitative and quantitative assessment of the set hasdm database |
| topic | assimilative model neutral mass density principal component analysis thermosphere |
| url | https://doi.org/10.1029/2021SW002798 |
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