Assimilation of Aircraft Observations in High-Resolution Mesoscale Modeling

المؤلفون المشاركون

Reen, Brian P.
Dumais, Robert E.

المصدر

Advances in Meteorology

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-02-19

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

الفيزياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1118963