Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling
Aircraft-based observations are a promising source of above-surface observations for assimilation into mesoscale model simulations. The Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations have potential advantages over some other aircraft observations including the presence of...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2018/8912943 |
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| _version_ | 1850178419671695360 |
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| author | Brian P. Reen Robert E. Dumais |
| author_facet | Brian P. Reen Robert E. Dumais |
| author_sort | Brian P. Reen |
| collection | DOAJ |
| description | Aircraft-based observations are a promising source of above-surface observations for assimilation into mesoscale model simulations. The Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations have potential advantages over some other aircraft observations including the presence of water vapor observations. The impact of assimilating TAMDAR observations via observation nudging in 1 km horizontal grid spacing Weather Research and Forecasting model simulations is evaluated using five cases centered over California. Overall, the impact of assimilating the observations is mixed, with the layer with the greatest benefit being above the surface in the lowest 1000 m above ground level and the variable showing the most consistent benefit being temperature. Varying the nudging configuration demonstrates the sensitivity of the results to details of the assimilation, but does not clearly demonstrate the superiority of a specific configuration. |
| format | Article |
| id | doaj-art-bbd23a191d3b47a28fde2acd8d277628 |
| institution | OA Journals |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-bbd23a191d3b47a28fde2acd8d2776282025-08-20T02:18:43ZengWileyAdvances in Meteorology1687-93091687-93172018-01-01201810.1155/2018/89129438912943Assimilation of Aircraft Observations in High-Resolution Mesoscale ModelingBrian P. Reen0Robert E. Dumais1Battlefield Environment Division, Army Research Laboratory, Adelphi, MD, USABattlefield Environment Division, Army Research Laboratory, White Sands, NM, USAAircraft-based observations are a promising source of above-surface observations for assimilation into mesoscale model simulations. The Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observations have potential advantages over some other aircraft observations including the presence of water vapor observations. The impact of assimilating TAMDAR observations via observation nudging in 1 km horizontal grid spacing Weather Research and Forecasting model simulations is evaluated using five cases centered over California. Overall, the impact of assimilating the observations is mixed, with the layer with the greatest benefit being above the surface in the lowest 1000 m above ground level and the variable showing the most consistent benefit being temperature. Varying the nudging configuration demonstrates the sensitivity of the results to details of the assimilation, but does not clearly demonstrate the superiority of a specific configuration.http://dx.doi.org/10.1155/2018/8912943 |
| spellingShingle | Brian P. Reen Robert E. Dumais Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling Advances in Meteorology |
| title | Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling |
| title_full | Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling |
| title_fullStr | Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling |
| title_full_unstemmed | Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling |
| title_short | Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling |
| title_sort | assimilation of aircraft observations in high resolution mesoscale modeling |
| url | http://dx.doi.org/10.1155/2018/8912943 |
| work_keys_str_mv | AT brianpreen assimilationofaircraftobservationsinhighresolutionmesoscalemodeling AT robertedumais assimilationofaircraftobservationsinhighresolutionmesoscalemodeling |