In this study, the pollution status of particulate matter (PM) in ambient air was investigated
based on the concentration data of three important PM fractions (PM 2.5, PM 10, and TSP) …

An increasing number of observations have contributed to the performance of numerical
weather prediction systems. Accordingly, it is important to evaluate the impact of these …

In this study, the effect of assimilating Himawari-8 (HIMA-8) atmospheric motion vectors
(AMVs) on forecast errors in East Asia is evaluated using observation system experiments …

This study suggests a new modeling framework using a hybrid Eulerian–Lagrangian-based
modeling tool (the Screening Trajectory Ozone Prediction System, STOPS) for a prediction …

Accurate weather forecasting using numerical weather prediction in the Arctic remains a
challenge owing to the complex atmospheric dynamics and relatively sparse observations of …

Abstract The Weather Research and Forecasting model coupled with Chemistry (WRF-
Chem), a type of online coupled chemistry-meteorology model (CCMM), considers the …

Adjoint sensitivity analyses are applied to a heavy snowfall event on the Korean Peninsula
using the MM5 Adjoint Modeling System. To evaluate the effects of initial conditions on …

In this study, three of satellite soil moisture datasets were inter-compared using Global Land
Data Assimilation System (GLDAS) soil moisture over East Asia in summer (June, 2013) to …

Recently, the number of observations used in a data assimilation system is increasing due to
the enormous amount of observations, including satellite data. However, it is not clear that …

Effect of Observation Network Design on Meteorological Forecasts of Asian Dust Events in:
Monthly Weather Review Volume 142 Issue 12 (2014) Jump to Content Jump to Main …