大气水汽是表征极端天气事件和气候变化的重要参数, 准确监测与分析水汽含量对于精准预测各
类灾害性天气事件与研究气候变化具有显著意义. 作为新兴的大气水汽探测方法, GNSS …

Typhoons can be serious natural disasters for the sustainability and development of society.
The development of a typhoon usually involves a pre-existing weather disturbance, warm …

In recent years, tropospheric products obtained from ground-based global navigation
satellite system (GNSS) measurements, especially the zenith total delay (ZTD) and …

In this study, a comprehensive investigation into the inter-relationships among twelve
atmospheric variables and their responses to precipitation was conducted. These variables …

Recent years have witnessed a growing interest in using GNSS observations to detect
heavy precipitation. In this study, a neural network-based (NN-based) approach taking …

Summer monsoon rainfall contributes more than 75% of the annual rainfall in India. For the
state of Maharashtra, India, this is more than 80% for almost all regions of the state. The high …

Monsoon rainfall prediction over a small geographic region is indeed a challenging task.
This paper uses monthly means of climate variables, namely air temperature (AT), sea …

Rainfall forecasting can guide human production and life. However, the existing methods
usually have a poor prediction accuracy in short-term rainfall forecasting. Machine learning …

Spatiotemporal analysis has drawn a lot of attentions recently on industrial time series
prediction. Most of the existing methods cannot consider the production semantics or …

Nowadays, precipitable water vapor (PWV) retrieved from ground-based Global Navigation
Satellite Systems (GNSS) tracking stations has heralded a new era of GNSS meteorological …