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http://dx.doi.org/10.5532/KJAFM.2022.24.4.244

Estimation and Evaluation of Reanalysis Air Temperature based on Mountain Meteorological Observation  

Sunghyun, Min (Forest ICT Research Center, National Institute of Forest Science)
Sukhee, Yoon (Korea Association of Forest Enviro-conservation Technology)
Myongsoo, Won (Forest ICT Research Center, National Institute of Forest Science)
Junghwa, Chun (Forest ICT Research Center, National Institute of Forest Science)
Keunchang, Jang (Forest ICT Research Center, National Institute of Forest Science)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.24, no.4, 2022 , pp. 244-255 More about this Journal
Abstract
This study estimated and evaluated the high resolution (1km) gridded mountain meteorology data of daily mean, maximum and minimum temperature based on ASOS (Automated Surface Observing System), AWS (Automatic Weather Stations) and AMOS (Automatic Mountain Meteorology Observation System) in South Korea. The ASOS, AWS, and AMOS meteorology data which were located above 200m was classified as mountainous area. And the ASOS, AWS, and AMOS meteorology data which were located under 200m was classified as non-mountainous area. The bias-correction method was used for correct air temperature over complex mountainous area and the performance of enhanced daily coefficients based on the AMOS and mountainous area observing meteorology data was evaluated using the observed daily mean, maximum and minimum temperature. As a result, the evaluation results show that RMSE (Root Mean Square Error) of air temperature using the enhanced coefficients based on the mountainous area observed meteorology data is smaller as 30% (mean), 50% (minimum), and 37% (maximum) than that of using non-mountainous area observed meteorology data. It indicates that the enhanced weather coefficients based on the AMOS and mountain ASOS can estimate mean, maximum, and minimum temperature data reasonably and the temperature results can provide useful input data on several climatological and forest disaster prediction studies.
Keywords
Mountain Meteorology; Air temperature; Lapse rate; Bias correction method;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Park, N. W., and D. H. Jang, 2008: Mapping of temperature and rainfall using DEM and multivariate kriging. Journal of the Korean Geographical Society 43(6), 1002-1015. (in Korean with English abstract)
2 Shen, Y. J., Y. Shen, J. Goetz, and A. Brenning, 2016: Spatial-temporal variation of near-surface temperature lapse rates over the Tianshan Mountains, central Asia. Journal of Geophysical Research: Atmospheres 121(23), 14-006.
3 Shin, M. Y., J. Yun, and A. S. Suh, 1999: Estimation of daily maximum/minimum temperature distribution over the Korean Peninsula by using spatial statistical technique. Journal of the Korean Society of Remote Sensing 15(1), 9-20. (in Korean with English abstract)
4 Won, M. S, K. C. Jang, and S. H. Yoon, 2018: Development of the National Integrated Daily Weather Index (DWI) model to calculate forest fire danger rating in the Spring and Fall. Korean Journal of Agricultural and Forest Meteorology 20(4), 348-356. (in Korean with English abstract)
5 Yun, J. I, J. Y. Choi, and J. H. Ahn, 2001: Seasonal trend of elevation effect on daily air temperature in Korea. Agricultural and Forest Meteorology in Korea 3, 96-104. (in Korean with English abstract)
6 Yoon, S. H., M. S. Won, and K. C. Jang, 2016: A study on optimal site selection for Automatic Mountain Meteorology observation System (AMOS): The case of Honam and Jeju Areas. Korean Journal of Agricultural and Forest Meteorology 18(4), 208-220. (in Korean with English abstract)   DOI
7 국립산림과학원, 2020: 산악기상관측망 구축⋅운영표준 매뉴얼 개정판.
8 Choi, G. Y., B. R. Lee., S. K. Kang, and T. John, 2010: Variations of summertime temperature lapse rate within a mountainous basin in the Republic of Korea - A case study of Punch Bowl, Yanggu in 2009. The Korean Association of Regional Geographers 16(4), 339-354. (in Korean with English abstract)
9 Chung, U., H. H. Seo, K. H. Hwang, B. S. Hwang, J. T. Choi, and J. I. Yun, 2006: Minimum temperature mapping over complex terrain by estimating cold air accumulation potential. Agricultural and Forest Meteorology 137(1), 15-24. (in Korean with English abstract)   DOI
10 Hong, K. O., M. S. Suh., D. K. Rha, D. H. Chang, C. Kim, and M. K. Kim, 2007: Estimation of high resolution gridded temperature using GIS and PRISM. Atmosphere 17(3), 255-268. (in Korean with English abstract)
11 Jang, K. C., M. S. Won, and S. H. Yoon, 2017: Evaluation of the Satellite-based Air Temperature for All Sky Conditions Using the Automated Mountain Meteorology Station (AMOS) Records: Gangwon Province Case Study. Korean Journal of Agricultural and Forest Meteorology 19(1), 19-26. (in Korean with English abstract)   DOI
12 Jeong, Y. M., and H. I. Eum, 2015: A application of a statistical interpolation method to correct extreme values in high-resolution gridded climate variables. Journal of Climate Change Research 6(4), 331-344. (in Korean with English abstract)
13 Kim, Y. S., K. M. Shim, M. P. Jung, and, I. T. Choi, 2014: Accuracy comparison of air temperature estimation using spatial interpolation methods according to application of temperature lapse rate effect. Journal of Climate Change Research 5(4), 323-329. (in Korean with English abstract)   DOI
14 Johnston, K., J. M. Ho, K. Krivoruchko, and N. Lucus, 2001: Using ArcGIS geostatistical analyst. Redlands, ESRI, 300.
15 Jo, A. Y., J. E. Ryu, H. E. Chung, Y. Y. Choi, and S. W. Jeon, 2018: Applicability of various interpolation approaches for high resolution spatial mapping of climate data in Korea. Journal of Environmental Impact Assessment 27(5), 447-474. (in Korean with English abstract)
16 Kim, S. O., and, J. I. Yun, 2016: Feasibility of the lapse rate prediction at an hourly time interval. Korean Journal of Agricultural and Forest Meteorology 18(1), 55-63. (in Korean with English abstract)   DOI
17 KFS (Korea Forest Service), 2021: Annual report on forest fire, Seoul, Korea, 60pp.
18 KFS (Korea Forest Service), 2021: Annual report on forest statistics, Seoul, Korea, 19pp.
19 Kong, W. S., 1999: The vertical distribution of air temperature and thermal amplitude of alpine plants on Mt. Halla, Cheju Island, Korea. Journal of the Korean Geographical Society 34(4), 385-393. (in Korean with English abstract)
20 Lee, H. T., M. S. Won, S. H. Yoon, and K. C. Jang, 2020: Modeling and mapping fuel moisture content using equilibrium moisture content computed from weather data of the automatic mountain meteorology observation system (AMOS). Journal of the Korean Association of Geographic Information Studies 22(3), 21-36. (in Korean with English abstract)
21 Lee, S. Y., and J. E. Kim, 2011: A study on meteorological elements effecting on large-scale forest fire during springtime in Gangwon Young-dong region. Journal of the Korean Society of Hazard Mitigation 11(1), 37-43. (in Korean with English abstract)
22 Lu, G. Y., and D. W. Wong, 2008: An adaptive inverse-distance weighting spatial interpolation technique. Computers and Geosciences 34(9), 1044-1055.   DOI
23 Lim, J. H., E. S. Kim, B. R. Lee, S. H. Kim, and K. C. Jang, 2017: An analysis of the hail damages to Korean forests in 2017 by meteorology, species and topography. Korean Journal of Agricultural and Forest Meteorology 19(4), 280-292. (in Korean with English abstract)