Abstract
In this study, the observational data acquired in the South China Heavy Rainfall Experiment (SCHeREX) from May to July 2008 and 2009 were integrated and assimilated with the US National Oceanic and Atmospheric Administration’s (NOAA) Local Analysis and Prediction System (LAPS; information available online at http://laps.fsl.noaa.gov). A high-resolution mesoscale analysis dataset was then generated at a spatial resolution of 5 km and a temporal resolution of 3 h in four observational areas: South China, Central China, Jianghuai area, and Yangtze River Delta area. The quality of this dataset was evaluated as follows. First, the dataset was qualitatively compared with radar reflectivity and TBB image for specific heavy rainfall events so as to examine its capability in reproduction of mesoscale systems. The results show that the SCHeREX analysis dataset has a strong capability in capturing severe mesoscale convective systems. Second, the mean deviation and root mean square error of the SCHeREX mesoscale analysis fields were analyzed and compared with radiosonde data. The results reveal that the errors of geopotential height, temperature, relative humidity, and wind of the SCHeREX analysis were within the acceptable range of observation errors. In particular, the average error was 45 m for geopotential height between 700 and 925 hPa, 1.0–1.1°C for temperature, less than 20% for relative humidity, 1.5–2.0 m s−1 for wind speed, and 20°–25° for wind direction. The above results clearly indicate that the SCHeREX mesoscale analysis dataset is of high quality and sufficient reliability, and it is applicable to refined mesoscale weather studies.
Similar content being viewed by others
References
Albers, S., J. McGinley, D. Birkenheuer, and J. Smart, 1996: The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature. Wea. Forecasting, 11, 273–287.
Birkenheuer, D., 1999: The effect of using digital satellite imagery in the LAPS moisture analysis. Wea. Forecasting, 14, 782–788.
—, 2000: Progress in applying GOES-derived data in local data assimilation. Preprints, 10th Conf. on Satellite Meteorology and Oceanography, Amer. Meteor. Soc., Long Beach, CA, 70–73.
Cui Chunguang, Li Hongli, Peng Juxiang, et al., 2009: The application of LAPS data to research a heavy rain event in East Hubei Province in the early summer of 2008. Torrential Rain and Disasters, 27, 307–312. (in Chinese)
Hiemstra, C. A., G. E. Liston, R. A. Pielke, et al., 2006: Comparing Local Analysis and Prediction System (LAPS) assimilations with independent observations. Wea. Forecasting, 21, 1024–1040.
Li Hongli, Cui Chunguang, and Wang Zhibin, 2009a: Scientific designs, functions and applications of LAPS. Torrential Rain and Disasters, 28, 64–70. (in Chinese)
—, —, —, et al., 2009b: A study on application of Doppler radar data with LAPS. Plateau Meteor., 28, 1443–1452. (in Chinese)
—, Zhang Bing, and Chen Bo, 2008: Local Analysis and Prediction System (LAPS) and its localization. Meteor. Sci. Technol., 36, 20–24. (in Chinese)
McGinley, J. A., S. Albers, and P. Stamus, 1991: Validation of a composite convective index as defined by a real-time local analysis system. Wea. Forecasting, 6, 337–356.
Ni Yunqi, Zhou Xiuji, Zhang Renhe, et al., 2006: Experiments and studies of heavy rainfall in southern China. J. Appl. Meteor. Sci., 17, 690–704. (in Chinese)
Snook, J. S., 1996: Local domain forecasting support to the 1996 Atlanta Olympic Games. Preprints, 12th Intl. Conf. on Interactive and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 32–35.
—, P. A. Stamus, J. Edwards, Z. Christidis, and J. A. McGlinley, 1998: Local-domain mesoscale analysis and forecast model support for the 1996 Summer Olympic Games. Wea. Forecasting, 13, 138–150.
Tao Shiyan, 1980: Heavy Rainfall of China. Science Press of China, 225 pp. (in Chinese)
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the National Key Basic Research and Development (973) Program of China (2004CB418307), Special Public Welfare Research Fund for Meteorological Profession of Ministry of Science and Technology (GYHY200706012 and GYHY200906010), National Natural Science Foundation of China (40930951), Special Project of Scientific Research of Wuhan Institute of Heavy Rain (1011), and New Technology Promotion Project of China Meteorological Administration (CMATG2008Z08).
Chinese version published in Vol. 69, No. 1, 26–40, 2011
Rights and permissions
About this article
Cite this article
Ni, Y., Cui, C., Li, H. et al. High-resolution mesoscale analysis data from the South China heavy rainfall experiment (SCHeREX): Data generation and quality evaluation. Acta Meteorol Sin 25, 478–493 (2011). https://doi.org/10.1007/s13351-011-0018-7
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13351-011-0018-7