SWIFF: Space weather integrated forecasting framework

Forecasting Space Weather

Forecasting space weather events presents the ultimate challenge to a space physics model. Not only should physical constraints be satisfied, but also practical issues such as timeliness, accuracy, and reliability must be adequately addressed. To address these needs, modern space weather forecasters and users rely on a great variety of space weather models, ranging from simple regressions and e...

Progress towards physics-based space weather forecasting with exascale computing

Particle in cell simulations applied to space weather modelling represent an excellent application for codesign efforts. PIC codes are simple and flexible with many variants addressing different physical conditions (e.g. explicit, implicit, hybrid, gyrokinetic, fluid) and different architectures (e.g. vector, parallel, GPU). It is relatively easy to consider radical changes and test them in a s...

An Integrated Approach for Weather Forecasting based on Data Mining and Forecasting Analysis

Weather prediction is a real time challenging issue witnessed by the world in the last decade. The prediction is becoming more complex due to the ever changing weather conditions. Many models have been discussed for predicting the weather data assuming the related attributes as independent variables. For effective analysis of the weather, it is necessary to understand various influencing factor...

Long-range Weather Forecasting

Weather and Forecasting

This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and pos...