We investigate the impact of the diabatic heating (Q1) over the Indian subcontinent and Tibetan Plateau (TP) sensible heat on the heat waves in South Korea in July and August over a recent 42‐year period. In particular, we emphasize the role of the convective activity across the region from northeastern Pakistan to northwestern India (PWI) induced by the heat from the TP, especially over the western and eastern TP. A composite analysis indicates that the composite differences between the heat‐wave summers (HWS) and non‐heat‐wave summers (NHWS) resemble the circum‐global teleconnection (CGT) pattern, which generates a high‐pressure anomaly over the Korean Peninsula, producing favourable conditions for heat waves in South Korea. The first coupled mode of the geopotential height at 250 hPa with the daily maximum temperature (TM) for July and August in South Korea is consistent with the composite pattern, suggesting that the diabatic heating over the Indian subcontinent induces a high‐pressure anomaly over the Korean Peninsula through a CGT‐like mechanism. The regression analysis of the wind vectors in the upper troposphere also indicates that the diabatic heating over the PWI region and associated TP sensible heating generates the strong convection over the PWI region, which corresponds to the anomalous anticyclonic circulation at 250 hPa over the western TP and the cyclonic circulation at 850 hPa over the PWI region. Moreover, the correlation patterns of the 250‐hPa geopotential height with the normalized rainfall amount index (IMRI) over the PWI region and the wave activity flux pattern confirm that the strong convective activity over the PWI region contributes to the anomalous high pressure and heat waves over the Korean Peninsula.

This study assesses the performance of the Coupled Model Intercomparison Project (CMIP) models for simulating summer heatwaves in Korea during a historical simulation period (1979-2014) using four diagnostic indices that represent the teleconnection mechanism of summer heatwaves in Korea. Four skill metrics are used for the model evaluation, namely, relative error (RE), interannual variability skill-score (IVS), correlation coefficient (CC), and total ranking (TR) based on daily maximum temperature (TMAX) in Korea and the four diagnostic indices. The results show that the REs of CMIP5 models do not differ significantly from those of the CMIP6 models while the IVSs in the CMIP6 models are significantly improved compared with the CMIP5 models. Observations show that the heatwave circulation index (HWCI) contributes more to the interannual variability in TMAX in Korea than that of the Indian Monsoon Rainfall Index (IMRI), indicating that the teleconnection from the northwestern Pacific is more important than that from northwestern India. Interestingly, the CMIP6 models simulate this property better than the CMIP5 ensemble. The higher TR of CMIP6 models than CMIP5 supports that CMIP6 models are better overall in simulating heatwaves in Korea and the associated diagnostic indices. Developed by various modeling groups around the world under the Coupled Model Intercomparison Project (CMIP)

Objective Although systemic lupus erythematosus (SLE) disease activity diminishes after starting dialysis, flares have been documented during dialysis. Hence, we studied the various clinical and therapeutic variables of patients with SLE who had a disease flare while on dialysis. Methods The medical records of patients with SLE who received dialysis at 2 tertiary referral hospitals in South Korea were reviewed. The disease activity was analyzed in terms of the nonrenal SLE Disease Activity Index (SLEDAI), and the factors associated with SLE flares were evaluated. Results Of the total of 121 patients with SLE on dialysis, 96 (79.3%) were on hemodialysis (HD) and 25 (20.7%) were on peritoneal dialysis (PD). During a median follow-up of 45 months (IQR 23-120) after the initiation of dialysis, 32 (26.4%) patients experienced an SLE flare (HD, n = 25; PD, n = 7). The most common features of SLE flare were hematologic (40.6%; thrombocytopenia [31.2%] and leukopenia [21.8%]) and constitutional manifestations (40.6%). Fever was the most common (34.3%) feature among the constitutional symptoms. Treatments for disease flares were based on corticosteroids, and 11 (34.3%) patients required additional immunosuppressants, including cyclophosphamide and mycophenolate mofetil. Nonrenal SLEDAI score before dialysis initiation (HR 1.24, 95% CI 1.12-1.36; P = 0.001) was a significant risk factor for disease flare during dialysis. Conclusion More than a quarter of the patients with SLE experienced a disease flare during dialysis, which most commonly had hematologic manifestations, particularly thrombocytopenia. Continued follow-up and appropriate treatments, including immunosuppressants, should be considered for patients with SLE receiving dialysis.

<p>In this study, we produced grid climate data sets of 1km×1km and 5km×5km horizontal resolutions based on MK (Modified Korean)-PRISM (Parameter-elevation Regressions on Independent Slopes Model), a statistical method that can estimate grid data of horizontal high-resolution using observational station data in Korea. To compare the MK-PRISM performance according to resolution, RMSEs of 1km resolution data and 5km resolution data were calculated and analyzed. The RMSEs of the two data sets were similar, but the results classified according to the elevation were different. The 1km high resolution estimated data was shown to better reflect the impact of the terrain for the daily mean temperature and daily maximum temperature, whereas the difference between the two data sets for daily minimum temperature was not statistically significant at each elevation. Furthermore, we also divided the temperature data into 9-classes based on the observed temperatures, and then compared the estimated performance of the two data sets according to elevation. For the low temperature group, performance of the 1 km resolution data at high elevations outperformed that of the 5 km resolution data, regardless of the season. In addition, we have verified the improved PRIDE (PRism based Dynamic downscaling Error correction) model, which can produce future high-resolution scenarios data using the results of RCM and MK-PRISM.</p>

<p>In this study, we defined diagnostic indices to evaluate the CMIP6 models based on the heatwaves mechanisms of Korea presented in previous studies. Based on this, the simulation performance of the model was quantitatively evaluated using Relative Error (RE), Inter-annual Variability Skill-score (IVS), and Correlation Coefficient (CC). The REs in diagnostic indices are still large, especially in heat wave circulation index (HWCI) and Indian summer monsoon rainfall index (IMRI), which is mainly due to weak convective activity bias over the northwestern Pacific Ocean and the northwestern India. However, the IVSs in diagnostic indices have been improved overall in the CMIP6 compared to the CMIP5, especially in the IMRI. The CC between the daily maximum temperature (TMAX) and the diagnostic factors in the model is very higher in HWCI than other indices, indicating that the convective activity over the northwestern Pacific is very important in heat wave in Korea. As a result, the total ranking of the model performance for heatwaves in Korea suggested that EC-Earth3-Veg, EC-Earth3, and UKESM-1-0-LL ranked high in CMIP6.</p> <p> </p> <p>This work was funded by the Korea Meteorological Administration Research and Development Program under Grant KMI(KMI2018-03410)</p>