Browse > Article
http://dx.doi.org/10.5532/KJAFM.2021.23.4.356

Improvements of Unit System for nationwide expansion of Early Warning Service for Agrometeorological Disaster  

Park, Joo Hueon (EPINET Co., Ltd.)
Shin, Yong Soon (EPINET Co., Ltd.)
Shim, Kyo-Moon (National Institute of Agricultural Sciences, RDA)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.23, no.4, 2021 , pp. 356-365 More about this Journal
Abstract
The nationwide expansion of the agricultural early warning service for agrometeorological disaster would require assessment of geographical and agricultural environmental characteristics by individual region. The development of an efficient computing environment would facilitate such services for the area of study region to deal with various crops and varieties for many farms. In particular, the design of the computing environment would have a considerable impact on the service quality of agriculture meteorology when the scale of computing environments increases for extended service areas. The objectives of this study were to derive the issues on the current computing environment under which services are provided by each region and to seek the solutions to these problems. The self-evaluation through experimental operation for about a year indicated that integration of the early warning service system distributed over different regions would reduce redundant computing procedures and ensure efficient storage and comprehensive management of data. This suggested that the early warning service for agrometeorological disaster would become more stable even when the service areas are to be expanded to the national scale. This would contribute to higher quality services for individual farmers.
Keywords
Early warning system; Nationwide expansion; Agrometeorological hazard; Data processing; System Integration;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Yun, E. J., and S. O. Kim, 2019: Improving usage of the Korea Meteorological Administration's Digital Forecasts in agriculture: Correction method for daytime hourly air temperature over complex terrain. Korean Journal of Agricultural and Forest Meteorology 21(4), 221-228.   DOI
2 Yun, J. I., S. O. Kim, J. H. Kim, and D. J. Kim, 2013: User-specific agrometeorological service to local farming community: A case study. Korean Journal of Agricultural and Forest Meteorology 15(4), 320-331.   DOI
3 Yun, J. I., 2014: Agrometeorological early warning system: A service infrastructure for climate-smart agriculture. Korean Journal of Agricultural and Forest Meteorology 16(4), 403-417.   DOI
4 Park, J. H., Y. S. Shin, S. K. Kim, W. S. Kang, Y. K. Han, J. H. Kim, D. J. Kim, S. O. Kim, K. M. Shim, and E. W. Park, 2017: Speed-up techniques for high-resolution grid data processing in the early warning system for agrometeorological disaster. Korean Journal of Agricultural and Forest Meteorology 19(3), 153-163.   DOI
5 Kim, S. O., 2017: Estimation of temporal surface air temperature under nocturnal inversion conditions. Korean Journal of Agricultural and Forest Meteorology 19(3), 75-85.   DOI
6 AGMET, 2019: https://www.agmet.kr(2021.06.01)
7 Kim, D. J., J. H. Park, S. O. Kim, J. H. Kim, Y. S. Kim, and K. M. Shim, 2020: A system displaying real-time meteorological data obtained from the automated observation network for verifying the early warning system for agrometeorological hazard. Korean Journal of Agricultural and Forest Meteorology 22(3), 117-127.   DOI
8 Kim, D. J., S. O. Kim, J. H. Kim, and E. J. Yun, 2019: Establishment of geospatial schemes based on topo-climatology for farm-specific agrometeorological Information. Korean Journal of Agricultural and Forest Meteorology 21(3), 146-157.   DOI