The statistical spatial‐temporal features of the intense snowfall event (ISE) in China are
investigated over the period of 1962–2000. The results indicate that eastern China, northern …

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 …

Inclusion of moist physics in the linearized version of a weather forecast model is beneficial
in terms of variational data assimilation. Further, it improves the capability of important tools …

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

Based on the observation data from meteorological stations of China and the reanalysis
dataset from the NECP/NCAR for the period 1961-2014, the large-scale atmospheric …

The impact of moist physics on the sensitive areas identified by conditional nonlinear
optimal perturbation (CNOP) is examined based on four typical heavy rainfall cases in …

In this study, the effect of boundary-condition configurations in the regional Weather
Research and Forecasting (WRF) Model on the adjoint-based forecast sensitivity …

This study reveals that the relationship between autumn north tropical Atlantic (NTA) sea
surface temperature (SST) anomalies and Northeast China's winter snowfall (NECWS) …

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 …