Session

Convener:
Septi Perwitasari (NICT, Japan)

Co-convener:
Nurul Shazana Abdul Hamid (UKM, Malaysia)

Description:

Space weather has become crucial in modern life since society depends more and more on communications and navigations system. In the past decades, several countries have been successfully working together to spread awareness and build international communities on space weather operations and policies. AOSWA (Asia-Oceania Space Weather Alliance) was established in 2010 for encouraging cooperation and sharing information among institutes in the Asia-Oceania region concerned with and interested in space weather. However, many countries in Asia-Oceania are still not actively involved in the space weather community even though some of these countries have ground-based observations. This session will focus on a discussion on how to connect the local space weather observation to the global network and highlight the needs of each country to build its space weather services. We welcome any presentations related to local space weather observation and activities.

Conveners:
Andrew Monham (EUMETSAT, Germany)
Tsutomu Nagatsuma (NICT, Japan)
Elsayed Talaat (NOAA, USA)
Juha-Pekka Luntama (ESA, Germany)

Description:

Users of operational space weather data are encouraged to participate in this session which:

•  introduces the Coordinated Group of Meteorological Satellites (CGMS), with a focus on space weather activities explains the CGMS's ongoing effort to improve operational data access to space weather services
• Details progress so far and request participant feedback on their needs concerning:
  1. User requirement for operational space weather observations
  2. Standardisation of space weather data and products including metadata
  3. Data availability and latency
  4. Standardised data delivery mechanisms
  5. Readiness of the users to utilise data from coming missions (new GEO missions, SWFO, Vigil, hosted payloads,  smallsats and nanosatellites)
• Ensured access to ground-based observation data
• R2O and O2R needs
• Seeks agreement on end goals, including priorities and pilot projects.

Presentations from operational space weather data users are invited, highlighting data access experiences and any suggestions for improvement.

CGMS – Website – The Coordination Group for Meteorological Satellites (cgms-info.org)

Convener:
Mardina Abdullah (UKM, Malaysia)

Co-convener:
Nurul Shazana Abdul Hamid (UKM, Malaysia)
Siti Aminah Bahari (UKM, Malaysia)

Description:

Space weather has a significant impact on our daily lives by affecting satellites, power grids, aviation, and communication systems. The recent event of a geomagnetic storm that affected the launch of 49 Starlink satellites on 3rd February 2022 by SpaceX gave a significant technical and economic consequence. Therefore, it is essential to equip people with the knowledge and skills necessary to understand the causes and potential impacts of space weather events and to develop strategies to mitigate their effects. To raise awareness about space weather in the community, it is important to provide educational resources to schools. An interactive exhibit, workshops or hands-on activities that engage students and members of the public in learning about space weather could be one of the methods. Under this topic, any other methods used to spread awareness of space weather effects to the community through education are welcomed.

Conveners:
Pornchai Supnithi (KMITL, Thailand)
Bingxian Luo (NSSC, China)
Yanhong Chen (NSSC, China)
Lin Min Min Myint (KMITL, Thailand)

Description:

Artificial intelligence (AI), as an interdisciplinary computer science, aims to build intelligent machines capable of performing tasks that normally require human intelligence. This technology has been widely adopted in space weather research and operational forecasting. AI algorithms such as support vector machines (support vector machines, decision trees, random forests, Long-Short Term Memory (LSTM) neural networks, and convolutional neural networks (CNN)) can automatically build analysis systems without explicit programming. For example, AI algorithms have been applied to data pre-processing and feature recognition, such as solar active region classification, CME detection and tracking. Although some physical mechanisms of space weather are still unclear, forecasting models of space environment indices and events have been developed based on AI machine learning with solar sources or other related parameters as inputs. There are examples of applying machine learning algorithms to construct predicting models (eg, solar flares, geomagnetic Dst index, relativistic electron enhancement (REE) of high energy (> 2 MeV) electrons in geosynchronous orbit, Total Ionospheric Electricity (TEC), scintillation, ionospheric irregularities, and ionospheric parameters). In addition, artificial intelligence provides a new approach that can be used to adaptively manage a large amount of space weather monitoring data, as well as intelligent system integration of databases, models, and software.
The focus of this session is, but is not limited to, AI technologies applied to data transmission and database management, space weather features recognization and classification, prediction models, intelligent integration of forecasting models, and other areas of space weather. Any contributions related to this field are welcome.

Convener:
Zahra Bouya (The Bureau of Meteorology, Australia)

Co-convener:
Mardina Abdullah (UKM, Malaysia)

Description:

The Ionosphere and Thermosphere (IT) is a highly coupled, complex and dynamic system. It is coupled downward to the lower atmosphere and upward to the magnetosphere in a way that is not well understood. The critical importance of the behaviour of this region to multiple applications dictates that more understanding and accurate modelling of the IT system are an urgent need.

This session is organised for the purpose of promoting analysis, observation, and modelling leading to an enhanced understanding of IT dynamics and coupling. This session invites papers related to modelling and predicting the ionosphere, thermosphere, and the coupled IT system. Presentations addressing all aspects of IT variations and anomalies on global and regional scales are welcome. Contributions using ground-based and space-based observations, empirical and physics-based models as well as machine-learning techniques are solicited.

Convener:
I-Te Lee (Central Weather Bureau, Taiwan)

Co-convener:
Yuki Kubo (NICT, Japan)

Description:

Severe space weather could affect various fields, such as communication, positioning, satellite control as well as power grids. The availability of timely and accurate forecasts is critical to informing the users for associated planning, execution and decision-making. This will help protect against and mitigate the potentially damaging effects of space weather, minimize space weather risks and enhance resilience. Developing and improving forecasting and modelling techniques can accurately predict space weather characteristics and changes. Different models or technologies such as data assimilation, artificial intelligence, and machine learning can make forecasts perform better. Meanwhile, verifying and validating forecasts is an important step in evaluating the performance of space weather products, in order to minimize the potential consequences of frequent and extreme space weather events
This session invites papers to demonstrate recently developed and improved techniques and models of space weather as well as reveal their validation results and performance.

Convener:
Pornchai Supnithi (KMITL, Thailand)

Co-conveners:
Zahra Bouya (The Bureau of Meteorology, Australia)
Takuya Tsugawa (NICT, Japan)
Kichang Yoon (KSWC, Korea)
Punyawi Jamjareegulgarn (KMITL, Thailand)
Venkata Rutnam (KL University, India)

Description:

Space weather is well known to cause radio blackout storm, solar radiation storm and geomagnetic storm. Space weather directly impacts a wide range of technologies. This session will focus on the impact of space weather events on societal infrastructure and modern technology such as satellite launch and operation, radiation doses which damage satellites and risk human health, GNSS positioning, navigation and timing (PNT) systems, radio communication systems and electrical power grid. The simulation, modelling and testing of the phenomenon and mitigation to the extreme space weather events are also of interest. In addition, the presentations which share national preparedness plan or action for the 25th solar maximum are of high interest.

Convener:
Mamoru Ishii (NICT, Japan)

Co-conveners:
Sittiporn Channumsin (GISTDA, Thailand)

Description:

Since the beginning of this century, the activities of space weather research and operation increases drastically. In this session, we would like to discuss any topics related to space weather topics which does not include the special sessions shown above, for example, observation technique, campaign observation, model and application development, national and international cooperation, etc. Especially contribution from young researchers are welcome.