DOI: 10.1002/grl.50884
论文题名: Application of data assimilation in the Whole Atmosphere Community Climate Model to the study of day-to-day variability in the middle and upper atmosphere
作者: Pedatella N.M. ; Raeder K. ; Anderson J.L. ; Liu H.-L.
刊名: Geophysical Research Letters
ISSN: 0094-8662
EISSN: 1944-8393
出版年: 2013
卷: 40, 期: 16 起始页码: 4469
结束页码: 4474
语种: 英语
英文关键词: data assimilation
; mesosphere and lower thermosphere
; middle atmosphere
; tides
Scopus关键词: Data assimilation
; Ensemble adjustment Kalman filter
; Ensemble data assimilation
; Mesosphere and lower thermosphere
; Middle atmosphere
; Root mean square errors
; Temperature observations
; Whole atmosphere community climate models
; Climate models
; Mean square error
; Tides
; Upper atmosphere
; atmosphere
; climate modeling
; COSMIC
; data assimilation
; Kalman filter
; mesosphere
; numerical model
; observational method
; radiosonde
; thermosphere
; tidal cycle
英文摘要: The Data Assimilation Research Testbed (DART) ensemble adjustment Kalman filter (EAKF) is employed to perform data assimilation in the Whole Atmosphere Community Climate Model (WACCM). To demonstrate the potential of the WACCM+DART for studying short-term variability in the mesosphere and lower thermosphere (MLT), results are presented based on the assimilation of synthetic observations that are sampled from a known model truth. We assimilate temperature and wind from radiosondes and aircraft, satellite drift winds, and COSMIC refractivity in the lower atmosphere, and SABER temperature observations in the middle/upper atmosphere. Relative to an unconstrained WACCM simulation, the assimilation of only lower atmosphere observations reduces the global root mean square error (RMSE) in zonal wind by up to 40% at MLT altitudes. Using data assimilation to constrain the lower atmosphere can therefore provide significant insight into MLT variability. The RMSE in the MLT is reduced by an additional 10-15% when SABER observations are also assimilated. The WACCM+DART is shown to be able to reproduce the large-scale features of the day-to-day variability in the zonal mean, migrating, and nonmigrating tides in the MLT. Though our simulation results are based on idealized conditions, they demonstrate that the WACCM+DART can reproduce the day-to-day variability in the MLT. Assimilation of real observations in the WACCM+DART will therefore enable significant insight into the real day-to-day dynamical variability from the surface to the lower thermosphere. Key Points Ensemble data assimilation is implemented in WACCM using the DART EAKF Demonstrate ability of WACCM+DART to reproduce day-to-day variability in the MLT Variability can be largely reproduced by constraining only the lower atmosphere. © 2013. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84882809057&doi=10.1002%2fgrl.50884&partnerID=40&md5=a2b1246c7a47a903fb9f3f8b2eeb1398
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5926
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: High Altitude Observatory, National Center for Atmospheric Research, PO Box 3000, Boulder, CO 80307-3000, United States
Recommended Citation:
Pedatella N.M.,Raeder K.,Anderson J.L.,et al. Application of data assimilation in the Whole Atmosphere Community Climate Model to the study of day-to-day variability in the middle and upper atmosphere[J]. Geophysical Research Letters,2013-01-01,40(16).