Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models [PDF]
We present an ensemble prediction system using a Deep Learning Weather Prediction (DLWP) model that recursively predicts six key atmospheric variables with six‐hour time resolution. This computationally efficient model uses convolutional neural networks (
Jonathan A. Weyn +3 more
semanticscholar +1 more source
The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting [PDF]
The numerous recent breakthroughs in machine learning (ML) make imperative to carefully ponder how the scientific community can benefit from a technology that, although not necessarily new, is today living its golden age.
Andrejková G. +19 more
core +2 more sources
Evaluation of a sub-kilometre NWP system in an Arctic fjord-valley system in winter
Terrain challenges the prediction of near-surface atmospheric conditions, even in kilometre-scale numerical weather prediction (NWP) models. In this study, the ALADIN-HIRLAM NWP system with 0.5 km horizontal grid spacing and an increased number of ...
Teresa Valkonen +8 more
doaj +1 more source
Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1 [PDF]
Sea ice is an important factor affecting weather regimes, especially in polar regions. A lack of its representation in numerical weather prediction (NWP) systems leads to large errors.
Y. Batrak, E. Kourzeneva, M. Homleid
doaj +1 more source
Analysis of raindrop size distribution from the double moment cloud microphysics scheme for monsoon over a tropical station [PDF]
Accurate precipitation forecasting hinges on the representation of microphysical processes within numerical models. A key approach to understanding these processes is through the analysis of hydrometeor drop size distribution (DSD).
K. S. Apsara +8 more
doaj +1 more source
Verification of pre-monsoon temperature forecasts over India during 2016 with a focus on heatwave prediction [PDF]
The operational medium-range weather forecasting based on numerical weather prediction (NWP) models are complemented by the forecast products based on ensemble prediction systems (EPSs).
H. Singh +3 more
doaj +1 more source
The assimilation of microwave and infrared (IR) radiance satellite observations within numerical weather prediction (NWP) models have been an important component in the effort of improving the accuracy of analysis and forecast.
Zheng Qi Wang, Roger Randriamampianina
doaj +1 more source
An evaluation of CNN and ANN in prediction weather forecasting: A review
Artificial intelligence through deep neural networks is now widely used in a variety of applications that have profoundly altered human livelihoods in a variety of ways. People's daily lives have become much more convenient.
S. Kareem, Zhala Jameel Hamad, S. Askar
semanticscholar +1 more source
An experiment in weather forecast [PDF]
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire +2 more sources

