Recent studies have started to explore coupled data assimilation (CDA) in coupled ocean–
atmosphere models because of the great potential of CDA to improve climate analysis and …

Data assimilation (DA) methods for convective‐scale numerical weather prediction at
operational centres are surveyed. The operational methods include variational methods (3D …

The Tibetan Plateau (TP) has experienced rapid warming in recent decades. However, the
meteorological stations of the TP are scarce and mostly located at the eastern and southern …

A GSI-based data assimilation (DA) system, including three-dimensional variational
assimilation (3DVar) and ensemble Kalman filter (EnKF), is extended to the multiscale …

Traditional hourly rain gauges and automatic weather stations rarely measure solid
precipitation, except for those stations with weighing-type precipitation sensors. Microwave …

The relationship between extreme precipitation and the corresponding temperature is of
great importance for predicting precipitation extremes in the future, given the rapid increase …

Over the last two decades, the Central Weather Bureau of Taiwan and the US National
Severe Storms Laboratory have been involved in a research and development collaboration …

We describe the construction of a very important forcing dataset of average daily surface
climate over East Asia—the China Meteorological Assimilation Driving Datasets for the Soil …

A multiscale data assimilation (MS-DA) scheme is formulated for fine-resolution models. A
decomposition of the cost function is derived for a set of distinct spatial scales. The …

Near-surface wind data are particularly important for Hainan Island and the South China
Sea, and there is a wide range of wind data sources. A detailed understanding of the …