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Agrometeorological Observation Environment and Periodic Report of Korea Meteorological Administration: Current Status and Suggestions

기상청의 농업기상 관측환경과 정기보고서: 현황 및 제언

  • Received : 2015.04.14
  • Accepted : 2015.06.23
  • Published : 2015.06.30

Abstract

Since the relocation project of equipment in 2011, the overall circumstances of KMA's agrometeorological observation have been significantly improved. Some concerns, however, emerged as a result of the evaluation of observational circumstances in terms of quality assurance after the field surveys on all stations. In order to improve the situation, we suggest: (1) establishment of clear management responsibilities, (2) enhancement of mutual cooperation system between relevant organizations, (3) detailed records of the changes in the observational circumstances, (4) standardization of equipment and sensors, (5) installation of unified information boards, (6) transfer of inappropriate facilities to an adjacent cropland and (7) setup of automated evaporation pan. In order to effectively utilize the high-quality data obtained through improvement of observational circumstances and an elaborate quality control, it is recommended to publish and disseminate regular reports on agrometeorological observations. To produce such a report on a trial basis, we have investigated different types of regular reports issued by domestic and foreign organizations, publication periods, geographical scope, main contents and amount. Based on our current situation, it would be beneficial to learn from the cases of Germany and Canada, which summarize mainly the distinctive agrometeorological phenomena occurred over the past years across the country.

2011년 농업기상 관측장비의 재배치 사업 이후, 기상청의 농업기상 관측환경은 전반적으로 상당히 향상되었다. 본 연구는 최근 실시한 현지답사 결과를 바탕으로, 1) 확실한 관리주체의 확립, 2) 유관기관들 간 상호협조 강화, 3) 관측환경 변화에 대한 상세한 기록, 4) 장비와 센서의 표준화 5) 통일된 형태의 안내판 설치, 6) 부적합한 환경 하에 놓여 있는 장비의 인접 장소로의 이동, 7) 자동화된 증발계의 설치가 후속적으로 이루어져야 함을 제시하였다. 또한, 확보된 고품질의 자료를 활용하기 위하여 현재 중단되어 있는 농업기상 정기보고서의 제작이 필요하며, 우리 나라의 현황을 감안할 때 1년에 한 차례 국가 전체에 걸쳐 지난 1년 간 일어난 특징적인 농업기상 현상들을 시간 순으로 서술하는 독일이나 캐나다의 연례보고서를 참고할 것을 제안한다.

Keywords

References

  1. Choi, S.-W., S.-J., Lee, J., Kim, B.-L., Lee, K.-R., Kim and B.-C., Choi, 2014 a: Agrometeorological observation circumstances of KMA and their improvement plan. Proceedings of Autumn Meeting of KMS, 315-316. (In Korean)
  2. Choi, S.-W., S.-J., Lee, J., Kim, B.-L., Lee, K.-R., Kim and B.-C., Choi, 2014b: A short survey of domestic and international agrometeorological reports. Proceedings of the 15th conference on agricultural and forest meteorology, 118-123. (In Korean)
  3. Korea Meteorological Administration, 2010: Guide to agrometeorological observation. KMA, 34pp. (In Korean)
  4. Korea Meteorological Administration, 2012: Operational regulations of observation. KMA, 9pp. (In Korean)
  5. Kwon, H.-J., J. Kim, J.-I., Yoo, J.-Y., Yoon, and J.-W., Hong, 2011: A Study on the suitability for relocating of agrometeorological observation equipment. Korea Meteorological Administration, 59pp. (In Korean)
  6. Lee, S.-J., D. F. Parrish, S.-Y. Park, W.-S. Wu, S. J. Greybush, W.-J. Lee, and S. J. Lord, 2011: Effects of 2- m air temperature assimilation and a new near-surface observation operator on the NCEP Gridpoint statisticalinterpolation system. Asia-Pacific Journal of Atmospheric Sciences 47(4), 353-376. https://doi.org/10.1007/s13143-011-0022-y
  7. Oh, G. L, S.-J. Lee, B. C. Choi, J. Kim, K.-R. Kim, S.-W. Choi, and B.-L. Lee, 2015: Quality ontrol of agro-meteorological data measured at Suwon Weather Station of Korea Meteorological Administration. Korean Journal of Agricultural and Forest Meteorology, 17(1), 25-34. (In Korean with English abstract) https://doi.org/10.5532/KJAFM.2015.17.1.25

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