This study evaluates climate simulations performed over the CORDEX Phase 2 East Asia domain with a Regional Climate Model (RCM), Consortium for Small-scale Modelling (COSMO)- Climate Limited-area Modelling (CLM) (CCLM), driven by the European Centre for Medium- Range Weather Forecast (ECMWF) Reanalysis (ERA)-Interim reanalysis. We focus on examining the influence of spectral nudging on East Asian climate simulations by comparing a control simulation to a simulation including spectral nudging. Spatio-temporal climatology of temperature and precipitation is well reproduced by CCLM with distinct regional patterns of systematic biases. Improvement of CCLM performance on East Asian climate simulation is identified when applying a spectral nudging technique. The use of spectral nudging alleviates systematic biases existing on horizontal winds and geopotential heights during summer and winter. Stronger reduction in systematic biases is found at lower troposphere during summer, partly explaining improvement of summer precipitation over the northeast Asia. Bias and RMSE analysis shows considerable improvement occurring in both climatology and inter-annual variability of summer precipitation and winter temperature over South Korea. Results from a Taylor diagram analysis reveal that CCLM reproduces the observed spatial patterns reasonably well for both summer and winter, and that spectral nudging improves spatial pattern simulations of horizontal winds and geopotential height at 850hPa during summer.

We developed the Parameter-elevation Regressions on Independent Slopes Model(PRISM)-based Dynamical downscaling Error correction(PRIDE)-Wind speed(WS) model version 3.0 to produce highresolution( 1km) grid data at a monthly time scale by using observation and Regional Climate Model(RCM) wind speed data. We consequently produced monthly wind speed grid data during the observation period(2000~2014) and the future period(2021~2100) for Representative Concentration Pathway(RCP) 2 type scenarios by using the PRIDE-WS model. The PRIDE-WS model is constructed by combining the MK(Modified Korean)-PRISM-Wind, the RCM anomaly and Cumulative Density Function(CDF) fitting, basically based on Kim et al.(2016)’s algorithm applied for daily precipitation. The upper level wind(80m altitude) was estimated by Deacon equation using surface wind speed that was produced by the PRIDE-WS model. The results show that the wind speed at the upper level generally increased during the summer season while it decreased during the spring, autumn and winter seasons.

In this study, we developed IS-HYPS(Independent Slopes Hypsometric) method in order to complement the weakness of existing MK-PRISM (Modified Korean-Parameter-elevation Regressions an Independent Slopes Model) version 1.1, and verified the IS-HYPS by applying the method to daily temperature data for recent 11 years from 2000 to 2010. Analysis Results show that IS-HYPS method is nicely applicable in regions where elevation of target grid is high and elevation of surrounding stations are not distributed evenly. Verification results also show that RMSE (Root Mean Square Error) of IS-HYPS method is about 20 % smaller than that of MK-PRISM 1.1 (0.44°C for daily mean temperature, 0.47°C for daily maximum temperature, and 0.58°C for daily minimum temperature) and have a trend to estimate temperature lower than MK-PRISM 1.1. The favorable condition to apply the method found to be the regions where the difference in standard deviation of elevation of observation stations is larger than 70m between with and without target grid inside the searching range of radius, indicating that MK-PRISM version 2.0 can produce temperature grid data reasonably well by applying the IS-HYPS selectively to the best condition.

The Carbon Bond Mechanism Ⅳ has been developed for use in urban- and regional-scale oxidant models. The photochemical mechanism, CBM4, contains extensive improvements to earlier carbon bond mechanisms in the chemical representations of aromatics, biogenic hydrocarbons, peroxyacetyl nitartes, and formaldehyde. Ozone is produced mainly by nitrogen oxides and hydrocarbon. By altering the initial concentrations of the mechanism, an analysis of the sensitivity of ozone concentrations to VOC/NOx ratios and VOC composition is conducted in this one-dimensional mechanism. Note that it is considered a chemical mechanism in order to understand the photochemical reactions within this mechanism. It analyzed the results of these simulations by applying a NOx-sensitive and a VOC-sensitive regime. These sensitivity regimes are changed to match the relative contribution of VOC and NOx concentrations to ozone production in simulations of two sets.