WeatherBench: a benchmark data set for data‐driven weather forecasting
Data‐driven approaches, most prominently deep learning, have become powerful tools for
prediction in many domains. A natural question to ask is whether data‐driven methods could …
prediction in many domains. A natural question to ask is whether data‐driven methods could …
[HTML][HTML] Neural networks for postprocessing ensemble weather forecasts
Ensemble weather predictions require statistical postprocessing of systematic errors to
obtain reliable and accurate probabilistic forecasts. Traditionally, this is accomplished with …
obtain reliable and accurate probabilistic forecasts. Traditionally, this is accomplished with …
深度学习在时空序列预测中的应用综述.
刘博， 王明烁， 李永， 陈洪丽… - Journal of Beijing …, 2021 - search.ebscohost.com
摘摇要: 对深度学习模型应用于时空序列预测的最新进展进行总结. 首先介绍时空序列数据的
属性及类型, 并进行相应的实例化与表示. 接着针对时空序列数据存在的3 …
属性及类型, 并进行相应的实例化与表示. 接着针对时空序列数据存在的3 …
A review of machine learning for convective weather
We present an overview of recent work on using artificial intelligence (AI)/machine learning
(ML) techniques for forecasting convective weather and its associated hazards, including …
(ML) techniques for forecasting convective weather and its associated hazards, including …
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems
Simulating complex physical systems often involves solving partial differential equations
(PDEs) with some closures due to the presence of multi-scale physics that cannot be fully …
(PDEs) with some closures due to the presence of multi-scale physics that cannot be fully …
[HTML][HTML] 定量降水预报技术进展
毕宝贵， 代刊， 王毅， 符娇兰， 曹勇， 刘凑华 - 应用气象学报, 2016 - html.rhhz.net
对21 世纪以来定量降水预报技术流程中的数值模式预报, 统计后处理, 检验评估和预报员作用4
个方面的研究工作进行了归纳, 主要进展包括: 业务全球模式对于降水的预报能力持续提升 …
个方面的研究工作进行了归纳, 主要进展包括: 业务全球模式对于降水的预报能力持续提升 …
Forecasting different types of convective weather: A deep learning approach
A deep learning objective forecasting solution for severe convective weather (SCW)
including short-duration heavy rain (HR), hail, convective gusts (CG), and thunderstorms …
including short-duration heavy rain (HR), hail, convective gusts (CG), and thunderstorms …
[HTML][HTML] Money doesn't grow on trees, but forecasts do: Forecasting extreme precipitation with random forests
GR Herman, RS Schumacher - Monthly Weather Review, 2018 - journals.ametsoc.org
Money Doesn't Grow on Trees, but Forecasts Do: Forecasting Extreme Precipitation with
Random Forests in: Monthly Weather Review Volume 146 Issue 5 (2018) Jump to Content …
Random Forests in: Monthly Weather Review Volume 146 Issue 5 (2018) Jump to Content …
Using artificial neural networks for generating probabilistic subseasonal precipitation forecasts over California
M Scheuerer, MB Switanek… - Monthly Weather …, 2020 - journals.ametsoc.org
Forecast skill of numerical weather prediction (NWP) models for precipitation accumulations
over California is rather limited at subseasonal time scales, and the low signal-to-noise ratio …
over California is rather limited at subseasonal time scales, and the low signal-to-noise ratio …
[HTML][HTML] Forecasting severe weather with random forests
Forecasting Severe Weather with Random Forests in: Monthly Weather Review Volume 148
Issue 5 (2020) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
Issue 5 (2020) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …