LAND VEGETATION RETRIVING FROM SATELLITE REMOTE SENSING AND APPLICATION TEST IN MESOSCALE SIMULATION FOR HEAVY RAINFALL OF SOUTH CHINA

Wang Pengyun; Xiao Qianguang; Lin Yonghui; Xiao Lan

Vol.12, NO.3, 2001

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2001 > 12(3): 287-296

Wang Pengyun, Xiao Qianguang, Lin Yonghui, et al. Land vegetation retriving from satellite remote sensing and application test in mesoscale simulation for heavy rainfall of South China. J Appl Meteor Sci, 2001, 12(3): 287-296.

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LAND VEGETATION RETRIVING FROM SATELLITE REMOTE SENSING AND APPLICATION TEST IN MESOSCALE SIMULATION FOR HEAVY RAINFALL OF SOUTH CHINA

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
National Satellite Meteorological Center, Beijing 100081

Received Date: 2000-01-18
Rev Recd Date: 2000-03-17
Publish Date: 2001-08-31

Abstract

Abstract

The Land vegetation data set retrieved from NOAA satellite remote sensing data in the HUAMEX project during May and June 1998 is applied in the PSU/NCAR mesoscale model (MM5) to simulate a heavy rainfall case during 23-24 May 1998 and compared with the NCAR land-use data set. Results show that with our land vegetation data, the simulated 24 h accumulated rainfall increased about 12%-14% for a grid spacing of 5-15 km comparing with NCAR data. The dynamic and thermodynamic structures at the low levels are also affected. For lager grid spacing (45 km), the effects were not obvious.
- Land vegetation;
- Mesoscale simulation;
- Heavy rain

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References(16)

Figures and Tables

图 1 卫星遥感地表植被分布 (1997~1998年, 图标:0戈壁, 沙漠, 1无类别, 卫星资料缺, 2农耕区。3北方草甸草原, 4永久冻土, 5亚热带常绿灌木, 6热带雨林, 7阔叶林, 8大草原, 9水体, 10针叶林, 11高寒荒漠, 12沙地, 13针阔混交林)

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图 2 模拟网格范围设定

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图 3 中网络B内地表植被分布 (a) NCAR地表植被资料 (5针叶林, 7水体, 12热带或亚热带森林, 13热带或亚热带草原) (b) NSMC地表植被资料 (1沙地, 2农耕区, 5亚热带常绿灌木, 7水体, 9阔叶林, 10针叶林, 13针阔混交林)

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图 4 NSMC和NCAR地表植被资料用于MM5模式模拟24 h降水量之差 (a) 网格A (格距45 km) (b) 网格B (格距15 km) (c) 网格C (格距5 km)

(等值线单位:mm, 实线代表正差, 虚线代表负差)

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图 5 模拟网格B (格距15 km) 1998年5月23日20:00 (积分12 h) 950 hPa等压面上锋生函数 (a) NCAR地表植被资料 (b) NSMC地表植被资料 (等值线单位:10^-10K·s^-1·m^-1)

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图 6 NSMC和NCAR地表植被资料用于MM5模式模拟1998年5月23日20:00 950 hPa等压面上相当位温之差 (a) 网格A (格距45 km) (b) 网格B (格距15 km) (c) 网格C (格距5km) (等值线单位:K, 实线代表正差, 虚线代表负差)

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表 1 NCAR地表植被分类及物理参数

表 2 NSMC地表植被分类及物理参数 (1998年)

表 3 在各种降水参数化方案中使用NCAR和NSMC植被资料所得到最大降水中心雨量比较

References

[1]	李毓芳, 安塞斯R A.次天气尺度和中尺度预报中的初值问题.气象学报, 1984, 42:499~504. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB198404015.htm
[2]	Dickinson R F. Modelling tropical deforestation:A study of GCM land-surface parameterizations.Q. J. R. Met. Soc., 1988, 114:439~462. doi: 10.1002/(ISSN)1477-870X
[3]	Shukla J, et al. Amazon deforestation and climate change. Science, 1990, 247:1322~1325. doi: 10.1126/science.247.4948.1322
[4]	李月安, 皇甫雪官.地表参数对T106模式预报的影响.应用气象学报, 2000, 11:65~70. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20000111&flag=1
[5]	Norwine J, Greegor D H. Vegetation classification based on advanced very high resolution radiometer (AVHRR) satellite imagery. Remote Sensing of Environment, 1993, 13:69~87. http://www.sciencedirect.com/science/article/pii/0034425783900287
[6]	Townshed J R G, Justice C O, Kalb V. Characterization and classification of South American land and cover types using satellite data. Int J of Remote Sensing, 1987, 7:1395~1416. doi: 10.1080/01431168708954764?scroll=top&needAccess=true
[7]	Tucker C J, Townshed J R G, Goff T E. African land cover classification using satellite data. Science, 1985, 227:369~375. doi: 10.1126/science.227.4685.369
[8]	Derrien M. Vegetation distribution with NOAA/AVHRR. Proceedings of 6th AVHRR data user's meeting, 1993, 101~108.
[9]	盛永伟, 陈维英, 肖乾广, 等.利用气象卫星植被指数进行我国植被的宏观分类.科学通报, 1995, 40:68~71. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB199501021.htm
[10]	Grell G A. A description of the fifth-generation Penn State/NCAR mesoscale model (MM5). NCAR/TN-398+STR NCAR technical note, 1994, 138. http://opensky.ucar.edu/islandora/object/technotes:170
[11]	Roozekrans J N. The monitoring of desetification processes in SPAIN using NOAA-AVHRR data. Proceedings of 6th AVHRR data user's meeting, Belgirate, Italy, 29 June-2 July, 1993.
[12]	肖乾广, 陈维英, 李靖, 等. 气象卫星监测干旱灾害的方法研究. 中国气象局气象服务与气候司编. 气象卫星遥感技术为农业服务应用研讨会文集. 北京: 气象出版社, 1996.
[13]	Dabrowska-Zielinska K, et al. NOAA AVHRR applied for monitoring of soil water condition. Proceedings of 6th AVHRR data user's meeting, Belgirate, Italy, 29 June-2 July, 1993.
[14]	李国平, 段延杨, 史有瑜. 青藏高原地面拖曳系数的变化特征. 中日亚洲季风机制合作研究论文集. 北京: 气象出版社, 1998. 3.
[15]	隋洪智. 热惯量方法监测土壤水分. 遥感动态研究. 北京: 科学出版社. 1990.
[16]	Ogura Y, Portis D. Structure of the cold front observed in SESAME-AVE Ⅲ and its comparison with the Hoskins-Bretherton frontogenesis model. J. Atmos. Sci., 1982, 39:2773~2792. doi: 10.1175/1520-0469(1982)039<2773:SOTCFO>2.0.CO;2