About the Workshop
Winter ice-covered lakes dominate the landscape, yet we lack the cross-disciplinary tools and consistent methodologies needed to explore the extensive changes that are likely to occur both within lakes as well as across lakes at regional and global scales. Three approaches are commonly used to assess lake ice condition: analyzing data collected in situ; extracting ice condition from remotely sensed products; and simulating lake ice dynamics using physically based models. A better understanding of lake ice dynamics, at local to global scales, will only be found through an interdisciplinary approach that combines modeling, remote sensing, and observational data.
This workshop will bring together scientists from limnology, numerical modeling of ice, remote sensing, and water resource management to achieve the following goals:
- Synthesize the latest progress in understanding lake ice from the in situ, remote sensing and modeling communities.
- Develop consensus on terminology, metadata, and data exchange formats among data sourced from in situ, remote sensing, and models (one or multiple datasets archived online for public use), that could allow for the establishment of a global in situ lake ice database.
- Identify key areas where combined approaches can be used to address critical science/engineering/societal/management questions, using input from the scientific community.
- Address critical questions in understanding lake ice that require cross-disciplinary approaches.
- Encourage collaboration among researchers from different communities.