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Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling
Joint Authors
Reen, Brian P.
Dumais, Robert E.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-19
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Reen, Brian P.& Dumais, Robert E.. 2018. Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1118963
Modern Language Association (MLA)
Reen, Brian P.& Dumais, Robert E.. Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling. Advances in Meteorology No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1118963
American Medical Association (AMA)
Reen, Brian P.& Dumais, Robert E.. Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1118963
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118963