Use of Methods of Machine Learning for Prediction of the Dangerous Convective Phenomena by Means of a Numerical Model of a Convective Cloud

Transactions of Kremenchuk Mykhailo Ostrohradskyi National University

doi 10.30929/1995-0519.2019.1.33-40

Full Text

Abstract

Available in

Date

Authors

Publisher

Kremenchuk Mykhailo Ostohradskyi National University

Related search

Dynamic Sub-Grid Heterogeneity of Convective Cloud in a Global Model: Description and Evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2

2016English

Evaluation of a New Convective Cloud Field Model: Precipitation Over the Maritime Continent

Atmospheric Chemistry and Physics
Atmospheric Science
2007English

Evaluation of a New Convective Cloud Field Model: Precipitation Over the Maritime Continent

Atmospheric Chemistry and Physics Discussions
Atmospheric SciencePlanetary ScienceSpace
2006English

A New Convective Cloud Field Model Based on Principles of Self-Organisation

Atmospheric Chemistry and Physics
Atmospheric Science
2005English

A Numerical Study of the Role of Cold Convective Cloud Parameterization in Precipitation Pattern at Ground Surface

Journal of Geography and Geology
2012English

A Seismic Model of the Solar Convective Envelope

Symposium - International Astronomical Union
1998English

Machine Learning for Performance Prediction of Spark Cloud Applications

2019English

Numerical Study of Tracers Transport by a Mesoscale Convective System Over West Africa

Annales Geophysicae
Planetary SciencesGeologySpaceAtmospheric SciencePlanetary ScienceAstrophysicsEarthAstronomy
2011English

Numerical Solution of Convective Heat Transfer for Reverse Transition in the Bend Tube by a Low-Reynolds-Number Turbulent Model

JSME international journal. Ser. 2, Fluids engineering, heat transfer, power, combustion, thermophysical properties
1988English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy