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Evaluation of the Impacts of Assimilating the TAMDAR Data on 124 km Grid WRF-Based RTFDDA Simulations over the CONUS
Joint Authors
Zhang, Yongxin
Liu, Yubao
Nipen, Thomas
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-05
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
An analysis of the impacts of assimilating the Tropospheric Airborne Meteorological Data Report (TAMDAR) data with the Weather Research and Forecasting- (WRF-) real-time four-dimensional data assimilation (RTFDDA) and forecasting system over the Contiguous US (CONUS) is presented.
The impacts of the horizontal resolution increase from 12 km to 4 km on the WRF-RTFDDA simulations are also examined in conjunction with the TAMDAR data impacts.
The assimilation of the TAMDAR data reduces the root mean squared error of the moisture field predictions and increases the correlation between the predictions and the observations for both domains with 12 km and 4 km grid spacings.
The TAMDAR data reduce the model dry biases in the middle and lower levels by adding moisture at those levels.
Assimilating the TAMDAR data improves temperature predictions at middle to high levels and wind speed predictions at all levels especially for the 12 km domain.
Increasing the horizontal resolution from 12 km to 4 km results in significantly larger impacts on surface variables than assimilating the TAMDAR data.
American Psychological Association (APA)
Zhang, Yongxin& Liu, Yubao& Nipen, Thomas. 2016. Evaluation of the Impacts of Assimilating the TAMDAR Data on 124 km Grid WRF-Based RTFDDA Simulations over the CONUS. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095424
Modern Language Association (MLA)
Zhang, Yongxin…[et al.]. Evaluation of the Impacts of Assimilating the TAMDAR Data on 124 km Grid WRF-Based RTFDDA Simulations over the CONUS. Advances in Meteorology No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1095424
American Medical Association (AMA)
Zhang, Yongxin& Liu, Yubao& Nipen, Thomas. Evaluation of the Impacts of Assimilating the TAMDAR Data on 124 km Grid WRF-Based RTFDDA Simulations over the CONUS. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095424
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095424