Aims:

"Big Data and Earth System" aspires to be an interdisciplinary beacon, illuminating the integration of Big Data analytics and computational approaches within Earth System Sciences. Our mission is to promot cutting-edge research that leverages advanced data analytics, machine learning, and computational methods to understand, monitor, simulate, and predict Earth system processes and changes. By bridging the gap between data science and earth sciences, the journal aims to facilitate the development of innovative methodologies and applications that can enhance our understanding of Earth system and contribute to global sustainability efforts.

Scope:

The journal invites contributions that showcase the novel use of Big Data, computational techniques, and artificial intelligence (AI) in addressing challenges within Earth System Sciences. This includes but is not limited to:

• Novel AI Methodologies for Earth Big Data

  to understand, monitor, simulate, and predict Earth system processes.

• Computational Models and Simulations

  for understanding atmospheric, oceanic, geological, surface, and deep-earth dynamics.

• Big Data in Deep-time Earth

  leveraging geological data for Earth system simulation and analysis.

• Big Data in Earth Observation

  leveraging satellite imagery, sensor networks, and remote sensing for Earth surface system simulation and analysis and linking the processes operating in Earth's interior with the phenomena at the surface.

• Big Data in Natural Process Affecting Humans, including

  climate change, resource exploration, natural disaster, and sustainable management.

• Data Management and Visualization

  techniques for handling large-scale geospatial datasets, enhancing data accessibility, and promoting open science.

Editorial Board