Comparison of the bright band characteristics measured by Micro Rain Radar (MRR) at a mountain and a coastal site in South Korea
- 261 Downloads
- 12 Citations
Abstract
Data from a long term measurement of Micro Rain Radar (MRR) at a mountain site (Daegwallyeong, DG, one year period of 2005) and a coastal site (Haenam, HN, three years 2004–2006) in South Korea were analyzed to compare the MRR measured bright band characteristics of stratiform precipitation at the two sites. On average, the bright band was somewhat thicker and the sharpness (average gradient of reflectivity above and below the reflectivity peak) was slightly weaker at DG, compared to those values at HN. The peak reflectivity itself was twice as strong and the relative location of the peak reflectivity within the bright band was higher at HN than at DG. Importantly, the variability of these values was much larger at HN than at DG. The key parameter to cause these differences is suggested to be the difference of the snow particle densities at the two sites, which is related to the degree of riming. Therefore, it is speculated that the cloud microphysical processes at HN may have varied significantly from un-rimed snow growth, producing low density snow particles, to the riming of higher density particles, while snow particle growth at DG was more consistently affected by the riming process, and therefore high density snow particles. Forced uplifting of cloudy air over the mountain area around DG might have resulted in an orographic supercooling effect that led to the enhanced riming of supercooled cloud drops.
Key words
Micro Rain Radar bright band thickness and sharpness cloud microphysical processes local characteristicsPreview
Unable to display preview. Download preview PDF.
References
- Bellon, A., I. Zawadzki, and F. Fabry, 1997: Measurements of melting layer attenuation at X-band frequencies. Radio Science, 32, 943–955.CrossRefGoogle Scholar
- Browning, K. A., 1990: Organization and internal structure of synoptic and mesoscale precipitation system in midlatitudes. Radar in Meteorology, D. Atlas, Ed., Amer. Meteor. Soc., 433–460.Google Scholar
- Cha, J. W., S. S. Yum, K. H. Chang, and S. N. Oh, 2007: Estimation of the melting layer from a Micro Rain Radar (MRR) data at the Cloud Physics Observation System (CPOS) site at Daegwallyeong Weather Station. J. Korean Meteor. Soc., 43, 77–85.Google Scholar
- Drummond, F. J., R. R. Rogers, S. A. Cohn, W. L. Eckiund, D. A. Cater, and J. S. Wilson, 1996: A new look at the melting layer. J. Atmos. Sci., 53, 759–769.CrossRefGoogle Scholar
- Fabry, F., and I. Zawadzki, 1995: Long-term radar observation of the melting layer of precipitation and their interpretation. J. Atmos. Sci., 52, 838–851.CrossRefGoogle Scholar
- Frei, C., and C. Schaer, 1998: A precipitation climatology of the Alps from high-resolution rain gage observations. International Journal of Climatology, 18, 873–900.CrossRefGoogle Scholar
- Glickman, T. S., 2000: Glossary of Meteorology. 2d Ed. Amer. Meteor. Soc., 855pp.Google Scholar
- Gray, W. R., M. J. Uddstrom, and H. R. Larsen, 2002: Radar surface rainfall estimates using a typical shape function approach to correct for the variation in the vertical profile of reflectivity factor. Int. J. Remote Sens., 23, 2489–2504.CrossRefGoogle Scholar
- Hann, J., 1902: Increase of rainfall with altitude. Mon. Wea. Rev., 30, 218–220.Google Scholar
- Hardaker P. J., A. R. Holt, and C. G. Collier, 1995: A melting layer model and its use in correcting for the bright band in single polarization radar echoes. Quart. J. Roy. Meteor. Soc., 121, 495–525.CrossRefGoogle Scholar
- Henry, A. J., 1902: Average annual precipitation in the Unites States for the period 1871 to 1901. Mon. Wea. Rev., 30, 207–213.CrossRefGoogle Scholar
- Henry, A. J., 1919: Increase of precipitation with altitude. Mon. Wea. Rev., 47, 33–41.CrossRefGoogle Scholar
- Hill, S. A., 1881: The meteorology of the North-West Himalaya. Memoris, Vol. 1, India Meteor. Dept., 377–426.Google Scholar
- Kitchen, M., R. Brown, and A. G. Davies, 1994: Real time correction of weather radar data for the effects of bright band, range and orographic growth in the widespread precipitation. Quart. J. Roy. Meteor. Soc., 120, 1231–1254.CrossRefGoogle Scholar
- Klaassen, W., 1988: Radar observations and simulations of the melting layer of precipitation. J. Atmos. Sci., 45, 3741–3753.CrossRefGoogle Scholar
- Kunhikrishnan, P. K., B. R. Sivaraman, N. V. P. Kiran Kumar, and D. P. Alappattu, 2006: Rain observations with micro rain radar (MRR) over Thumba. Optical Engineering, 6408, doi: 10.1117/12.694115.Google Scholar
- Löffler-Mang, M., and M. Kunz, 1999: On the performance of a low-cost K-band Doppler radar for quantities rain measurements. J. Atmos. Oceanic Technol., 16, 379–387.CrossRefGoogle Scholar
- Neiman, P. J., M. Ralph, A. B. White, D. A. Kingsmill, and P. O. G. Persson, 2002: The statistical relationship between upslope flow and rainfall in California’s coastal mountains: Observations during CALJET. Mon. Wea. Rev., 130, 1468–1492.CrossRefGoogle Scholar
- Peck, E. L., and M. J. Brown, 1962: An approach to the development of isotheral maps for mountainous areas. J. Geophys. Res., 67, 681–694.CrossRefGoogle Scholar
- Peters, G., and B. Fischer, 2005: Profiles of raindrop size distribution as retrieved by Micro rain Radars. J. Appl. Meteor., 44, 1930–1949.CrossRefGoogle Scholar
- Reed, W. G., and J. B. Kincer, 1917: The preparation of precipitation charts. Mon. Wea. Rev., 45, 233–235.CrossRefGoogle Scholar
- Rico-Ramirez, M. A., I. D. Cluckie, and D. Han, 2005: Correction of the bright band using dual-polarization radar. Atmospheric Science Letters, 6, 40–46.CrossRefGoogle Scholar
- Rogers, R. R., and M. K. Yau, 1989: A Short Course in Cloud Physics. 3d ed., Pergamon Press, 293pp.Google Scholar
- Song, N., and J. Marwitz, 1989: A numerical study of the warm rain process in orographic cloud. J. Atmos. Sci., 46, 3479–3489.CrossRefGoogle Scholar
- Strauch, R. G., 1976: Theory and application of the FMCW Doppler radar. Ph. D. dissertation, Electrical Engineering, University of Colorado, 97pp.Google Scholar
- Thurai, M., and H. Hanado, 2004: Melting layer model evaluation using fall velocity. IEE Proc. Microw. Antennas Propag., 151, 465–472.CrossRefGoogle Scholar
- Zawadzki, I., W. Szyrmer, C. Bell, and F. Fabry, 2005: Modeling of the melting layer. Part III: The density effect. J. Atmos. Sci., 62, 3705–3723.CrossRefGoogle Scholar
- Wexler, R., 1955: An evaluation of the physical effects in the melting layer. Preprints, Fifth Weather Radar Conf., Fort Monmouth, NJ, Amer. Meteo. Soc., 329–334.Google Scholar
- White, A. B., and D. J. Gottas, E. T. Strem, F. M. Ralph, and P. J. Neiman, 2002: An automated bright band height detection algorithm for use with Doppler radar spectral moment. J. Atmos. Oceanic Technol., 19, 687–697.CrossRefGoogle Scholar