×D3. Cloud and web applications for environmental data analysis and modelling

The idea of moving environmental data analysis and modelling to cloud-based platforms and web applications continues to gain traction due to several inherent benefits with these approaches such as:

  1. reducing local storage and computational requirements
  2. enhancing collaboration capabilities
  3. simplifying and standardising deployment of updates
  4. enabling access across devices and platforms.

Additionally, continued price reductions in cloud based storage and an explosion of related open source tools and technologies are helping to grow this field. This session is intended to organise presentations related to cloud-based and web applications for environmental data analysis and modelling. While the modelling domain for these presentations is the environment (air, water, soil, oceans, climate, fire, ecology, land cover, etc.) the presentations will focus on advances in software design, system architecture, and implementation case studies to support data analysis and modelling within the environmental domain.

Key topics: Cloud-based modelling, Web applications, Environmental modelling, Data analysis