An improved algorithm based on the self-consistent principle for rain attenuation correction of reflectivity ZH and differential reflectivity ZDR are presented for X-band radar. The proposed algorithm calculates the optimum coefficients for the relation between the specific attenuation coefficient and the specific differential phase, every 1 km along a slant range. The attenuation-corrected ZDR is calculated from reflectivity at horizontal polarization and from reflectivity at vertical polarization after attenuation correction. The improved rain attenuation correction algorithm is applied to the range–height indicator (RHI) scans as well as the plan position indicator (PPI) volume scan data observed by X-band wavelength (MP-X) radar, as operated by the National Research Institute for Earth Science and Disaster Prevention (NIED) in Japan. The corrected ZH and ZDR values are in good agreement with those calculated from the drop size distribution (DSD) measured by disdrometers. The two governing parameters of a normalized gamma DSD, normalized number concentration NW, and drop median diameter D0 are estimated from the corrected ZH and ZDR, and specific differential phase KDP values based on the “constrained-gamma” method. The method is applied to PPI and RHI data of a typhoon rainband to retrieve the three-dimensional distribution of DSD. The retrieved DSD parameters show reasonable agreement with disdrometer data. The present results demonstrate that high-quality correction and retrieval DSDs can be derived from X-band polarimetric radar data.

In this study, an extreme rainfall-producing quasi-stationary mesoscale convective system (MCS) associated with the Changma front in southeastern South Korea is investigated using numerical simulations and sensitivity tests. A record-breaking rainfall amount was recorded in response to repeated initiation of new cells (i.e., back-building) over the same area for several hours. The aim of this study is to realistically simulate and analyze this extreme rainfall event to better understand an impact of the cold pool that leads to the quasi-stationary MCS over southeastern South Korea by using a convection-allowing-resolution (2 km) nonhydrostatic atmospheric model.The control experiment (CNTL) was successfully performed, yielding the quasi-stationary, back-building MCS at approximately the correct location and time. In the CNTL run, diabatic cooling due to evaporation of raindrops was responsible for the formation of the cold pool. The development of the cold pool was responsible for the deceleration of the propagating convective line, which played a role in the stalling of the MCS over southeastern South Korea. Moreover, new convective cells were repeatedly initiated in the region where an oncoming warm inflow met the leading edge of the cold pool and was uplifted. In an experiment without evaporative cooling (NOEVA), the simulated precipitation pattern was shifted to the northeast because the MCS became nonstationary without the cold pool. The cold pool had an essential role in the stationarity of the MCS, which resulted in extreme rainfall over the Busan metropolitan area.

Decadal climatology of aerosol optical parameters derived from Moderate Resolution Imaging Spectroradiometer (MODIS) on board Terra satellite has been analysed during past decade (February 2000 to February 2010) over three different environments in South Korea. Seoul, a continental urban station showed a significant decadal decrease of around 22% in aerosol optical depth (AOD) at 550 nm during observational period. The corresponding decrease in AOD found to be 18.7% over Busan, a coastal station. However Jeju, a volcanically sedimented island station in Korea showed negligible changes in AOD (1.4%). Fine mode fraction (FMF) and Angstrom exponent (ANG) parameters also showed a significant decadal reduction, indicating the decrease in fine mode aerosols, which are majorly produced due to anthropogenic activities in land areas. On analysing the decadal trends in seasonal climatology, it is found that aerosol parameters in general were showing a decreasing trend in different seasons except during spring. The decadal trend in meteorological parameters did not show a perfect alignment with aerosol trends. This suggests that the decadal decrease in aerosols could be mainly attributed to reduction in anthropogenic aerosol emissions. The surface temperature over the stations showed a significant increase of 8% to 11%. This study suggests that, in spite of positive effects in pollution perspective, the reduced AOD may in part contribute the increasing trend of surface temperature. Copyright © 2012 Royal Meteorological Society

For over three decades, Iraq has suffered from climate variability and desertification. Rainfall rates have decreased with abnormal high‐temperature degrees, recurrence of dust storms has been increasing and many agricultural areas have turned into barren land. In this article, to study these climatic variations and detect important climate indices in Iraq, ten indices (total rainfall, average temperature, maximum temperature, minimum temperature, number of days of dust rising, number of days of dust storm, relative humidity, atmospheric pressure at sea surface level, total evaporation and wind speed) were investigated at 24 meteorological stations in Iraq for 30 years. January in winter, July in summer and annual rates of climate indices were analysed through a factor analysis method. As a result, total rainfall, minimum, maximum and average temperature were found as the strongest indices of the two seasons in Iraq. However, in the annual rates, the total rainfall indicator ranked last in the second component of the factor analysis. The contour lines for the factors of rainfall and maximum temperature offered a clear guide to patterns of the characteristics in winter, summer and annual rates. The northern regions were characterized by high values of rainfall in winter in comparison to the central and southern parts of Iraq. However, high temperatures were found in Baghdad and the southern regions in summer, which showed more than 45 °C.

The empirical relationships used to estimate rainfall amounts from polarimetric radar observations were developed and tested by using long‐period drop size distribution (DSD) data and monitoring of rainfall events prior to operational use in Korea. Rainfall associated with Typhoon Meari in 2011 was selected to assess the performance of these relationships for point and areal rainfall amounts. Data quality was checked in regions of light rain to enable the quantitative use of polarimetric variables. The distributions of the cross‐correlation co‐efficient and standard deviation of the differential phase shift agreed with those established in a previous study, but the absolute average deviation of differential reflectivity (Z_DR) was a little distorted. Biases in reflectivity (Z) and differential reflectivity were calculated following established methods and found to be –0.18 and 0.47 dB, respectively. The accuracy of rainfall amounts calculated from R(K_DP) and R(K_DP, Z_DR) was poor. The best estimates of rainfall were obtained using R(Z, Z_DR) based on DSDs from Oklahoma (OKC) in the USA and Busan (BSC) for both the point and areal mean cases. Correlation co‐efficients of R(Z, Z_DR) using the BSC DSDs were better than those using the OKC DSDs for areal mean rainfall amounts. Rainfall amounts in this particular case in Korea were estimated more accurately using the Brandes drop shape for R(Z, Z_DR) than the equilibrium drop shape.

The current study summarizes the raindrop size distributions (RSDs) characteristic of the North Indian Ocean (NIO) tropical cyclones (TCs) measured with ground-based disdrometers installed at the coastal (Thiruvananthapuram, 8.5335°N, 76.9047°E) and inland (Kadapa, 14.4742°N, 78.7098°E) stations in south India. The NIO TCs observed at the coastal station showed more mid- and large-size drops (>1 mm) than the inland station. On the other hand, for both inland and coastal stations, small and mid-size drops (<3 mm) primarily contributed to the total number concentration and rainfall rate. The RSDs of the NIO TCs segregated into precipitation types (stratiform and convective) demonstrated the presence of more mid- and large-size drops at the coastal station. The RSD relations of the NIO TCs, which are used in rain retrieval algorithms of remote sensing (global precipitation measurement) radars, exhibited contrasts between the coastal and inland station. Further, the NIO TCs’ rainfall kinetic energy relations, which are crucial in rainfall erosivity studies, estimated for the coastal station revealed dissimilar characteristics to that of the inland station. The conceivable thermo-dynamical and microphysical processes that are accountable for the disparities in the NIO TCs RSDs measured at the coastal and inland stations are also elucidated in this work.