Weather forecasting is important for science and society. At present, the most accurate
forecast system is the numerical weather prediction (NWP) method, which represents …

Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …

In this paper, we present Pangu-Weather, a deep learning based system for fast and
accurate global weather forecast. For this purpose, we establish a data-driven environment …

This review summarizes the rapporteur report on tropical cyclone (TC) intensity change from
the operational perspective, as presented to the 10th International Workshop on TCs (IWTC …

This article presents coupled data assimilation (DA) activities at the European Centre for
Medium‐Range Weather Forecasts (ECMWF). Coupled DA is an essential component of the …

Significant advancements in the development of machine learning (ML) models for weather
forecasting have produced remarkable results. State-of-the-art ML-based weather forecast …

Radiances from microwave temperature sounders have been assimilated operationally at
ECMWF for two decades, but observations significantly affected by clouds and precipitation …

In this paper, we revisit the problem of wind–wave interaction with emphasis on strong
winds. For these events, it is assumed that nonlinearity is so large that the slope of the wind …

In this paper, we summarize findings from the Tenth International Workshop on Tropical
Cyclones (IWTC-10) subgroup on operational track forecasting techniques and capability …

以中国气象局上海台风研究所整编的“西北太平洋热带气旋最佳路径数据集” 为基准,
评定了2021 年西北太平洋和南海海域共22 个编号台风的定位定强精度以及路径, 强度 …