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http://dx.doi.org/10.5572/KOSAE.2012.28.6.615

Evaluation of Temperature and Precipitation on Integrated Climate and Air Quality Modeling System (ICAMS) for Air Quality Prediction  

Choi, Jin-Young (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Kim, Seung-Yeon (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Hong, Sung-Chul (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Lee, Jae-Bum (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Song, Chang-Keun (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Lee, Hyun-Ju (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Lee, Suk-Jo (Climate Change Research Division, Climate and Air Quality Research Department, National Institute of Environmental Research)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.28, no.6, 2012 , pp. 615-631 More about this Journal
Abstract
This study provides an evaluation for capability of Integrated Climate and Air quality Modeling System (ICAMS) on future regional scale climate projection. Temperature and precipitation are compared between ground-level observation data and results of regional models (MM5) for the past 30 years over the Korean peninsula. The ICAMS successfully simulates the local-scale spatial/seasonal variation of the temperature and precipitation. The probability distribution of simulated daily mean and minimum temperature agree well with the observed patterns and trends, although mean temperature shows a little cold bias about $1^{\circ}C$ compared to observations. It seems that a systematic cold bias is mostly due to an underestimation of maximum temperature. In the case of precipitation, the rainfall in winter and light rainfall are remarkably simulated well, but summer precipitation is underestimated in the heavy rainfall phenomena of exceeding 20 mm/day. The ICAMS shows a tendency to overestimate the number of washout days about 7%. Those results of this study indicate that the performance of ICAMS is reasonable regarding to air quality predication over the Korean peninsula.
Keywords
ICAMS; Climate change; Air quality; Regional climate model; Temperature and precipitation;
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