Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

The aim of this paper is to provide an overview of the interrelationship between data science
and climate studies, as well as describes how sustainability climate issues can be managed …

This article presents an investigation into the problem of 3D radar echo extrapolation in
precipitation nowcasting, using recent AI advances, together with a viewpoint from Computer …

The amount of data generated in the modern society is increasing rapidly. New problems
and novel approaches of data capture, storage, analysis and visualization are responsible …

Temperature prediction is one of the most important and challenging task in today‟ s world.
Temperature prediction is the attempt by meteorologists to forecast the state of the …

The weather forecasting process is used to predict the future atmospheric condition of a
specified location. The evolution of the big data era gives the chances to significantly …

随着人工智能技术在气象预报领域应用的不断深入, 环境气象业务也在发生变化.
为了推动环境气象预报业务向数字化, 智能化转变, 本文对国内外气象部门数字化业务现状进行 …

Big data has emerged as the next technological revolution in IT industry after cloud
computing and the Internet of Things. With the development of climate observing systems …

This article focuses mainly on climate data forecasting. To achieve this with a reasonable
accuracy we rely on deep processing of big data using High Performance Computing (HPC) …

Machine Learning (ML) techniques for time series prediction are becoming increasingly
accurate and helpful, particularly in considering climate change, such as weather …