Journal of Tropical Oceanography ›› 2019, Vol. 38 ›› Issue (2): 20-31.doi: 10.11978/2018055CSTR: 32234.14.2018055
• Marine Meteorology • Previous Articles Next Articles
Experiments of assimilating Doppler radar data in forecast of Typhoon Chanthu
Peini QI(
), Feifei SHEN(), Leilei KOU, Zhigang CHU, Dongmei XU
- Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
-
Received:2018-05-23Revised:2018-09-05Online:2019-03-20Published:2019-04-15 -
Supported by:National Key Research and Development Program of China (2018YFC1506404, 2018YFC1506603, 2017YFC1502102, 2017YFC1502103);National Natural Science Foundation of China (G41805016, G41805070);Natural Science Foundation of Jiangsu Province (BK20170940, BK20160954);Open Project of Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology (KLME201807, KLME201808);Beijige Funding from Jiangsu Research Institute of Meteorological Science (BJG201604);Startup Foundation for Introducing Talent of Nanjing University of Information Science & Technology (2016r043, 2016r027)
CLC Number:
- P732.42
Cite this article
Peini QI, Feifei SHEN, Leilei KOU, Zhigang CHU, Dongmei XU. Experiments of assimilating Doppler radar data in forecast of Typhoon Chanthu[J].Journal of Tropical Oceanography, 2019, 38(2): 20-31.
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Fig. 1
WRF simulation domain. Dashed circles indicate the Doppler observation ranges of HKRD and YJRD, respectively. Black line and dots indicate the typhoon track from 2200 UTC to 2218 UTC July 21, 2010"
Fig. 1
Fig. 2
Flow chart of control experiment (a) and Exp 3DVAR (b)"
Fig. 2
Fig. 3
Analysis increments of horizontal wind vector (the top and middle panels, unit: m?s-1) and wind speed (the bottom panel, unit: m?s-1) at 700 hPa at 1800 UTC July 21, 2010(a, b, c), 2000 UTC July 21, 2010 (d, e, f), 2200 UTC July 21, 2010 (g, h, i), 0000 UTC July 22, 2010 (j, k, l), and before assimilation (a, d, g, j), after assimilation (b, e, h, k), assimilation increment (c, f, j, l) (units: m?s-1). Max reflectivity is shaded in the top and middle panels. The shaded area in the bottom panel is the coverage area of the radar data"
Fig. 3
Fig. 4
Radar radial velocity in observation (a), background field (b), observation minus background field (c), and analysis field (d) at 1800 UTC July 21, 2010"
Fig. 4
Fig. 5
Scatters of radar radial velocity in observation and background (a), and in observation and analysis (b)"
Fig. 5
Fig. 6
Root Mean Square Error (RMSE) (a) and Minimum Sea Level Pressure (MSLP) (b) before and after assimilation of each assimilation moment from 1800 UTC July 21, 2010 to 0000 UTC July 22, 2010"
Fig. 6
Fig. 7
The analyzed sea level pressure (contours, units: hPa) and surface wind vector (units: m?s-1) for CTNL (a) and Exp 3DVAR (b) at 0000 UTC July 22, 2010. The black solid line indicates the cross section in Fig. 8"
Fig. 7
Fig. 8
Southwest-northeast vertical cross sections of analyzed horizontal wind speed (units: m?s-1) and potential temperature (units: K) for CTNL (a) and Exp 3DVAR (b) at 0000 UTC July 22, 2010"
Fig. 8
Fig. 9
Azimuthal mean tangential wind speed (shading, units: m?s-1) and temperature deviation from horizontal mean (solid contour, units: ℃) at 2000 UTC July 21, 2010 (a), 2200 UTC July 21, 2010 (b), and 0000 UTC July 22, 2010 (c)"
Fig. 9
Fig. 10
Composite reflectivity (shaded) for observation (a), CTNL (b), and Exp 3DVAR (c) overlapped with winds (vectors) at 0000 UTC July 22, 2010"
Fig. 10
Fig. 11
Tracks (a), track error (b), the forecast MSLP (c), and MSW (d) for best track observation, CTNL, and Exp 3DVAR at 0000 UTC July 22, 2010"
Fig. 11
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