Results 351 to 360 of about 3,614,941 (409)

Quantum Neural Networks (QNN) Application in Weather Prediction of Smart Grids

Smart Grid Conference, 2021
In this paper, a practical field of quantum technology known as “quantum technology, and weather prediction of smart grids”, and their future have been analyzed. Smart grids are among the significant fundamentals of a smart city and its supplying sources.
Ashkan Safari, A. Ghavifekr
semanticscholar   +1 more source

Weather forecasting and prediction using hybrid C5.0 machine learning algorithm

International Journal of Communication Systems, 2021
In this research, a weather forecasting model based on machine learning is proposed for improving the accuracy and efficiency of forecasting. The aim of this research is to propose a weather prediction model for short‐range prediction based on numerical ...
Sudhan Murugan Bhagavathi, Anitha Thavasimuthu, A. Murugesan, Charlyn Pushpa Latha George Rajendran, Vijay A, Laxmi Raja, Rajendran Thavasimuthu   +6 more
semanticscholar   +1 more source

The challenge of weather prediction [PDF]

Resonance, 1997
This three part series brings into focus problems and challenges involved in weather forecasting. The first part deals with the fundamental forces governing weather and climate while the second part deals with the practical and conceptual difficulties. The last part describes old and new ways of weather forecasting.
openaire   +1 more source

Assimilation of satellite data in numerical weather prediction. Part I: The early years

Quarterly Journal of the Royal Meteorological Society, 2019
Developments in the assimilation of satellite data in numerical weather prediction (NWP), from the first experiments in the late 1960s to the present day, are presented in a two‐part review article.
J. Eyre, S. English, M. Forsythe
semanticscholar   +1 more source

The predictability of weather and climate

Climatic Change, 1987
The last thirty years have seen the development of comprehensive numerical models of the large-scale circulation of the atmosphere, based on physical principles. Such models are quite skillful at describing the evolving weather up to a few days ahead, despite imperfect theory and inadequate observational data.
openaire   +2 more sources

An atmospheric dynamics perspective on the amplification and propagation of forecast error in numerical weather prediction models: A case study

Quarterly Journal of the Royal Meteorological Society, 2018
Despite huge progress made, state‐of‐the‐art numerical weather prediction systems occasionally experience severe forecast busts for the large‐scale extratropical circulation. This study investigates one of the most severe forecast busts for Europe in the
C. Grams, L. Magnusson, E. Madonna
semanticscholar   +1 more source

The outlook for AI weather prediction

Nature, 2023
I. Ebert‐Uphoff, K. Hilburn
semanticscholar   +1 more source

Numerical weather prediction

Contemporary Physics, 1986
The use of physico-mathematical models for the numerical prediction of weather changes on the global scale is described. The accuracy of the predictions is assessed in relation to the limitations of both the observa­tional data and the representation in the model of the many interactive physical and dynamical processes that govern the evolution of the ...
openaire   +3 more sources

Atmospheric Weather Prediction Using various machine learning Techniques: A Survey

International Conference Computing Methodologies and Communication, 2019
Generally, weather is comprised of numerous parameters including rainfall, precipitation, wind speed, etc. Environmental weather forecast is a testing errand for researchers and it has drawn a great deal of research enthusiasm in the recent years.
N. L, Mohan H S
semanticscholar   +1 more source

Multi-Stations’ Weather Prediction Based on Hybrid Model Using 1D CNN and Bi-LSTM

Cybersecurity and Cyberforensics Conference, 2019
Weather conditions are closely related to people’s daily life. Accurate weather prediction is conducive to people’s preparation for travel, company’s personnel and vehicle arrangement, disaster prevention and so on. Deep learning methods are confirmed to
Qi Fu, D. Niu, Z. Zang, Junhao Huang, Li Diao   +4 more
semanticscholar   +1 more source