DOI: 10.1002/2016GL068468
论文题名: Potential impacts of assimilating all-sky infrared satellite radiances from GOES-R on convection-permitting analysis and prediction of tropical cyclones
作者: Zhang F. ; Minamide M. ; Clothiaux E.E.
刊名: Geophysical Research Letters
ISSN: 0094-9229
EISSN: 1944-8960
出版年: 2016
卷: 43, 期: 6 起始页码: 2954
结束页码: 2963
语种: 英语
英文关键词: ensemble Kalman filter
; GOES-R
; tropical cyclone prediction
Scopus关键词: Forecasting
; Hurricanes
; Kalman filters
; Luminance
; Satellites
; Tropics
; Ensemble Kalman Filter
; GOES-R
; Infrared brightness temperature
; Observing system simulation experiments
; Prediction of tropical cyclone
; Temporal and spatial
; Thermodynamic variables
; Tropical cyclone predictions
; Temperature
; brightness temperature
; GOES
; hurricane event
; Kalman filter
; net radiation
; satellite data
; thermodynamics
; tropical cyclone
; weather forecasting
; wind field
英文摘要: The potential impacts of GOES-R satellite radiances on tropical cyclone analysis and prediction were examined through ensemble correlations between simulated infrared brightness temperatures and various model state variables. The impacts of assimilating GOES-R all-sky infrared brightness temperatures on tropical cyclone analysis and prediction were further demonstrated through a series of convection-permitting observing system simulation experiments using an ensemble Kalman filter under both perfect and imperfect model scenarios. Assimilation of the high temporal and spatial resolution infrared radiances not only constrained well the thermodynamic variables, including temperature, moisture, and hydrometeors, but also considerably reduced analysis and forecast errors in the wind fields. The potential of all-sky radiances is further demonstrated through an additional proof-of-concept experiment assimilating real-data infrared brightness temperatures from GOES 13 satellite which was operational in an enhanced scanning mode during Hurricane Karl (2010). ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84977992958&doi=10.1002%2f2016GL068468&partnerID=40&md5=04e75c8fda6b240c8f17030b170a1574
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10192
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Department of Meteorology, Center for Advanced Data Assimilation and Predictability Techniques, Pennsylvania State University, University Park, PA, United States
Recommended Citation:
Zhang F.,Minamide M.,Clothiaux E.E.. Potential impacts of assimilating all-sky infrared satellite radiances from GOES-R on convection-permitting analysis and prediction of tropical cyclones[J]. Geophysical Research Letters,2016-01-01,43(6).