Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling

Joint Authors

Reen, Brian P.
Dumais, Robert E.

Source

Advances in Meteorology

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

Physics

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