The recent hype about artificial intelligence has sparked renewed interest in applying the
successful deep learning (DL) methods for image recognition, speech recognition, robotics …

This paper reviews the major progress on development of the science and prediction of
heavy rainfall over China since the beginning of the reform and opening-up of new China …

Alexander, LV, M. Bador, R. Roca, S. Contractor, MG Donat, and PL Nguyen, 2020:
Intercomparison of annual precipitation indices and extremes over global land areas from in …

中国暴雨的科学与预报:改革开放40年研究成果 气象学报 2020, Vol. 78 Issue (3): 419-450 PDF
http://dx.doi.org/10.11676/qxxb2020.057 中国气象学会主办. 0 文章信息 罗亚丽, 孙继松, 李英 …

Forecast verification and evaluation is a critical aspect of forecast development and
improvement, day-to-day forecasting, and the interpretation and application of forecasts. In …

The horizontal grid spacing of numerical weather prediction models keeps decreasing
towards the hectometric range. We perform limited‐area simulations with the Icosahedral …

Abstract The Met Office Forecast Ocean Assimilation Model (FOAM) ocean–sea‐ice analysis
and forecasting operational system has been using an ORCA tripolar grid with 1/4° …

The fractions skill score (FSS) is a neighbourhood verification method originally designed to
verify deterministic forecasts of binary events. Previous studies employed different …

Neural networks are increasingly used in environmental science applications. Furthermore,
neural network models are trained by minimizing a loss function, and it is crucial to choose …

Despite advances in forecasting and emergency preparedness, weather related disasters
continue to cost many lives, to displace populations and to cause wide-spread damage …