DOI QR코드

DOI QR Code

Objective analysis of temperature using the elevation-dependent weighting function

지형을 고려한 기온 객관분석 기법

  • Lee, Jeong-Soon (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Lee, Yong Hee (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Ha, Jong-Chul (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Lee, Hee-Choon (Forecast Research Laboratory, National Institute of Meteorological Research, KMA)
  • 이정순 (기상청 국립기상연구소 예보연구과) ;
  • 이용희 (기상청 국립기상연구소 예보연구과) ;
  • 하종철 (기상청 국립기상연구소 예보연구과) ;
  • 이희춘 (기상청 국립기상연구소 예보연구과)
  • Received : 2011.12.14
  • Accepted : 2012.02.27
  • Published : 2012.06.30

Abstract

The Barnes scheme is used in Digital Forecast System (DFS) of the Korea Meteorological Administration (KMA) for real-time analysis. This scheme is an objective analysis scheme with a distance-dependent weighted average. It has been widely used for mesoscale analyses in limited geographic areas. The isotropic Gaussian weight function with a constant effective radius might not be suitable for certain conditions. In particular, the analysis error can be increased for stations located near mountains. The terrain of South Korea is covered with mountains and wide plains that are between successive mountain ranges. Thus, it is needed to consider the terrain effect with the information of elevations for each station. In order to improve the accuracy of the temperature objective analysis, we modified the weight function which is dependent on a distance and elevation in the Barnes scheme. We compared the results from the Barnes scheme used in the DFS (referred to CTL) with the new scheme (referred to EXP) during a year of 2009 in this study. The analysis error of the temperature field was verified by the root-mean-square-error (RMSE), mean error (ME), and Priestley skill score (PSS) at the DFS observation stations which is not used in objective analysis. The verification result shows that the RMSE and ME values are 1.68 and -0.41 in CTL and 1.42 and -0.16 in EXP, respectively. In aspect of spatial verification, we found that the RSME and ME values of EXP decreased in the vicinity of Jirisan (Mt. Jiri) and Taebaek Mountains. This indicates that the new scheme performed better in temperature verification during the year 2009 than the previous scheme.

Keywords

References

  1. 이용희, 하종철, 이희춘, 장동언, 김형국, 육명렬, 진기범, 2010: 동네예보 실황 및 초단기예보 지원 체계 구축, 2010년 한국기상학회 가을 학술대회 논문집, 236-237.
  2. 이현진, 이정환, 최준태, 2009: 2008년도 동네예보 객관분석 개선, 수치모델관리관실 기술보고서 2009-01.
  3. 주상원, 신현철, 나득균, 2002: 기상청 3차원 최적 내삽법에서 오차공분산의 개선. 대기, 12(3), 380-381.
  4. 하종철, 이용희, 이희춘, 남지은, 이정순, 2011: 초단기 기상분석 및 예측시스템 현업운영가이드, 국립기상연구소 예보연구과 기술노트 NIMR-TN-2011-006.
  5. Barnes, S. L., 1964: A technique for maximizing detail in numerical weather map analysis. J. Appl. Meteor., 3, 396-409. https://doi.org/10.1175/1520-0450(1964)003<0396:ATFMDI>2.0.CO;2
  6. Daly, C., 2006: Guidelines for assessing the suitability of spatial climate data sets., Int. J. Climatol., 26, 707-721. https://doi.org/10.1002/joc.1322
  7. Daly, C., E. H. Helmer, and M. Quinones, 2003: Mapping the climate of Puerto Rico, Vieques, and Culebra. Int. J. Climatol., 23, 1359-1381. https://doi.org/10.1002/joc.937
  8. Daly, C., G. H. Taylor, and W. P. Gibson, 1997: The PRISM approach to mapping precipitation and temperature. In : Proc., 10th AMS Conf. on Applied Climatology, Amer. Meteorological Soc., Reno, NV, Oct. 20-23, 10-12.
  9. Daly, C., G. H. Taylor, W. P. Gibson, T. W. Parzybok, G. L. Johnson, and P. A. Pasteris, 2001: High-quality spatial climate data sets for the United States and beyond. Trans. ASAE, 43, 1957-1962.
  10. Daly, C. and R. P. Neilson, 1992: A digital topographic approach to modeling the distribution of precipitation in mountainous terrain. Interdisciplinary Approaches in Hydrology and Hydrogeology, American Institute of Hydrology, 437-454.
  11. Daly, C., R. P. Neilson, and D. L. Phillips, 1994: A statist ical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158. https://doi.org/10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
  12. Daly, C., W. P. Gibson, G. L. Johnson, P. A. Pasteris, 2002: A knowledge-based approach to the statistical mapping of climate. Climate Res., 22, 99-113. https://doi.org/10.3354/cr022099
  13. Dodson, R., and D. Marks, 1997: Daily air temperature interpolated at high spatial resolution over a large mountainous region. Climate Res., 8, 1-20. https://doi.org/10.3354/cr008001
  14. Eliassen, A., 1954: Provisional report on spatial covariance and autocorrelation of the pressure field. Inst. Weather and Climate Res., Acad. Sci. Oslo, Rept. No. 5.
  15. Gandin, L. S., 1963: Objective analysis of meteorological fields. Hydromet Press, 242 pp.
  16. Gibson, W. P., C. Daly, and G. H. Taylor, 1997: Derivation of facet grids for use with the PRISM model. In : Proc., 10th AMS Conf. on Applied Climatology, Amer. Meteorological Soc., Reno, NV, Oct. 20-23, 208-209.
  17. Joshi, J. C. and A. Ganju, 2010: Use of objective analysis to estimate winter temperature and precipitation at different stations over western Himalaya. J. Earth syst. Sci., 119, 597-602. https://doi.org/10.1007/s12040-010-0043-4
  18. Koch, S. E., M. Desjardions, and P. J. Kocin, 1983: An interactive barnes objective map analysis scheme for use with satellite and conventional data. J. Climate Appl. Meteor., 22, 1487-1503. https://doi.org/10.1175/1520-0450(1983)022<1487:AIBOMA>2.0.CO;2
  19. Kunkel, K. E., 1989: Simple procedures for extrapolation of humidity variables in the mountainous western United States. J. Climate, 2, 656-669. https://doi.org/10.1175/1520-0442(1989)002<0656:SPFEOH>2.0.CO;2
  20. Hardy, R. L., 1971: Multiquadric equations of topography and other irregular surfaces, J. Geophys. Res., 76, 1905-1915. https://doi.org/10.1029/JB076i008p01905
  21. Nuss, W. A. and D. W. Titley, 1994: Use of multiquadric interpolation for meteorological objective analysis, Mon. Wea. Rev., 122, 1611-1631. https://doi.org/10.1175/1520-0493(1994)122<1611:UOMIFM>2.0.CO;2
  22. Priestley, C. H. B., 1945: Accuracy of upper air forecasts. Meteorological Research Paper 222, British Met. Office, UK, 12 pp.