ENAC Seminar Series by Dr. Miguel Mahecha
Event details
| Date | 08.01.2019 |
| Hour | 09:00 › 10:00 |
| Speaker | Dr. Miguel Mahecha |
| Location | |
| Category | Conferences - Seminars |
9:00 – 10:00 – Dr. Miguel Mahecha
Research Group Leader, Max Planck Institute for Biogeochemistry, Germany
A data-driven perspective for studying high-dimensional land-surface processes
Understanding environmental dynamics in the light of climate change is a major scientific challenge. However, the unprecedented growth and diversity of data streams is opening new perspectives to effectively study these globally coupled phenomena. In this talk I introduce the concept of the “Earth System Data Cube” which allows us to effectively investigate environmental phenomena across variables, space, and time.
I will then exemplify the power of this concept by asking the question how do we detect and interpret the effects of climate extremes on ecosystem functioning. Our findings bring to light a perspective for studying the human-environment nexus during climate extremes and discuss the challenges ahead. In general, I expect such data cube approaches to have great potential for the joint interpretation of environmental observations from multiple sources and models as well as seamlessly integrate into the latest developments in machine learning and model data integration. Overall, the hope is to support data-intensive research across disciplinary boundaries.
Research Group Leader, Max Planck Institute for Biogeochemistry, Germany
A data-driven perspective for studying high-dimensional land-surface processes
Understanding environmental dynamics in the light of climate change is a major scientific challenge. However, the unprecedented growth and diversity of data streams is opening new perspectives to effectively study these globally coupled phenomena. In this talk I introduce the concept of the “Earth System Data Cube” which allows us to effectively investigate environmental phenomena across variables, space, and time.
I will then exemplify the power of this concept by asking the question how do we detect and interpret the effects of climate extremes on ecosystem functioning. Our findings bring to light a perspective for studying the human-environment nexus during climate extremes and discuss the challenges ahead. In general, I expect such data cube approaches to have great potential for the joint interpretation of environmental observations from multiple sources and models as well as seamlessly integrate into the latest developments in machine learning and model data integration. Overall, the hope is to support data-intensive research across disciplinary boundaries.
Practical information
- General public
- Free
Organizer
- ENAC
Contact
- Cristina Perez