The Impact of Assimilating Sea Surface Wind Aboard QuikSCAT on Sea Fog Simulation

Liu Yudi; Ren Jingpeng; Zhou Xin

Vol.22, NO.4, 2011

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2011 > 22(4): 472-481

Liu Yudi, Ren Jingpeng, Zhou Xin. The impact of assimilating sea surface wind aboard QuikSCAT on sea fog simulation. J Appl Meteor Sci, 2011, 22(4): 472-481.

Citation:

Liu Yudi, Ren Jingpeng, Zhou Xin. The impact of assimilating sea surface wind aboard QuikSCAT on sea fog simulation. J Appl Meteor Sci, 2011, 22(4): 472-481.

Liu Yudi, Ren Jingpeng, Zhou Xin. The impact of assimilating sea surface wind aboard QuikSCAT on sea fog simulation. J Appl Meteor Sci, 2011, 22(4): 472-481.

Citation:

Liu Yudi, Ren Jingpeng, Zhou Xin. The impact of assimilating sea surface wind aboard QuikSCAT on sea fog simulation. J Appl Meteor Sci, 2011, 22(4): 472-481.

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The Impact of Assimilating Sea Surface Wind Aboard QuikSCAT on Sea Fog Simulation

Liu Yudi^{1,2
,
,},
Ren Jingpeng²,
Zhou Xin²

1.
LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
2.
Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101

Received Date: 2010-06-25
Rev Recd Date: 2011-05-16
Publish Date: 2011-08-31

Abstract

Abstract

Sea fog is a kind of disaster weather with strong local characteristics. It has brought more serious losses as people's activities over the sea become more frequent. Therefore, the forecast of sea fog is becoming more and more important. There is no effective method to directly and widely obtain the real data of meteorological fields over the sea at present. However, the microwave scatterometer aboard a satellite is the most popular sensor that provides accurate global sea surface winds which are used widely. At the same time, the progress and popularity of variational assimilation method also make a great deal of unconventional data be used in numerical models, which optimize initial condition of models.To evaluate the impact of assimilating the sea surface wind data aboard QuikSCAT on the sea fog simulation, 3 sensitive experiments are carried out for the sea fog process during 3—5 April 2006. The effect of the different boundary layer parameterization schemes, such as Medium Range Forecast Model (MRF), Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) on sea fog simulation are discussed. It is found that YSU boundary layer physical parameterization scheme is more suitable for simulating sea fog, the MRF scheme takes the second place and the MYJ scheme is the worst. Then by the three dimensional variational data assimilation (3DVAR) method based on the Weather Research and Forecast (WRF) model the sea surface wind aboard QuikSCAT is assimilated to investigate an advection fog and a radiation fog occurred over the sea around China, respectively.The results with and without assimilating the QuikSCAT sea surface wind data are used as the initial fields for WRF model to simulate the sea fog, respectively. The simulated results are compared with the satellite nephogram and the ground observation. Preliminary results show that the three dimensions variational assimilation of sea surface wind data by WRF-3DVAR system can make the sea surface wind data affect other element fields at low levels of the model, which have an obviously positive impact on the area forecast of sea fog. In particular, some detailed results are obviously better compared with those of the control experiment without assimilating the sea surface wind data. But for high levels the impact is limited. Since the sea fog data are sparse, results of only two cases are insufficient to generalization, so more cases will be discussed to validate the conclusions in the future.
- sea fog;
- three dimensions variational assimilation;
- sea surface wind;
- QuikSCAT data

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References(18)

Figures and Tables

图 1 2006年4月4日00:00采用MRF方案和YSU方案模拟的能见度

(蓝线表示能见度, 单位：km；红线表示地形高度，单位：m)

Fig. 1 The visibility simulated by MRF scheme and YSU scheme at 00:00 4 April 2006

(the blue contour denotes the visibility, unit:km; the red contour denotes the terrain, unit:m)

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图 2 2006年4月4日00:00地面观测图

Fig. 2 The ground observation at 00:00 4 April 2006

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图 3 2006年4月4日00:00控制试验 (a) 和同化试验 (b) 模拟得到的能见度

(蓝线表示能见度,单位:km;红线表示地形高度,单位:m)

Fig. 3 The visibility simulated in the control experiment (a) and assimilation experiment (b) at 00:00 4 April 2006 (the blue contour denotes the visibility, unit: km; the red contour denotes the terrain, unit: m)

DownLoad: Full-Size Img PowerPoint

图 4 2006年4月4日00:00控制试验 (a) 和同化试验 (b)10 m风场 (矢量) 和2 m温度场 (等值线，单位：℃)

Fig. 4 Wind field at 10 m height (vector) and temperature field at 2 m height (contour, unit:℃) of the control experiment (a) and assimilation experiment (b) at 00:00 4 April 2006

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图 5 2006年4月4日00:00控制试验 (a) 和同化试验 (b)1000 hPa相对湿度 (单位：%)

Fig. 5 Relative humidity at 1000 hPa in the control experiment (a) and assimilation experiment (b) at 00:00 4 April 2006 (unit:%)

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图 6 2006年4月4日00:00控制试验 (a) 和同化试验 (b)850 hPa高度场 (红线, 单位：m) 和温度场 (蓝线，单位：K)

Fig. 6 The potential height (red contour, unit:m) and temperature (blue contour, unit: K) fields at 850 hPa of the control experiment (a) and assimilation experiment (b) at 00:00 4 April 2006

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图 7 2005年6月23日09：00控制试验 (a) 和同化试验 (b) 模拟的能见度

(蓝线表示能见度，单位：km；红线表示地形高度，单位：m)

Fig. 7 The simulated visibility of the control experiment (a) and assimilation experiment (b) at 09:00 23 June 2005

(the blue contour denotes the visibility, unit: km; the red contour denotes the terrain, unit:m)

DownLoad: Full-Size Img PowerPoint

图 8 2005年6月23日09:00地面观测资料

Fig. 8 The ground observation at 09:00 23 June 2005

DownLoad: Full-Size Img PowerPoint

图 9 2005年6月23日09:00控制试验 (a) 和同化试验 (b) 海面10 m风场 (矢量) 和2 m温度场 (等值线，单位：℃)

Fig. 9 Wind field at 10 m height (vector) and temperature field at 2 m height (contour, unit:℃) of the control experiment (a) and assimilation experiment (b) at 09:00 23 June 2005

DownLoad: Full-Size Img PowerPoint

图 10 2005年6月23日09:00控制试验 (a) 和同化试验 (b) 在1000 hPa温度露点差 (单位：℃)

Fig. 10 Dew point deficit at 1000 hPa of the control experiment (a) and assimilation experiment (b) at 09:00 23 June 2005 (unit:℃)

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