Unit Affiliation: Ocean and Climate Physics, Lamont-Doherty Earth Observatory (LDEO)
The goal of the Climate Data Science Lab is to leverage our group’s expertise at the intersection of climate science and open source software to develop a new generation of powerful, scalable, and sustainable computational tools for climate data science (a new term we are embracing henceforth). Hopefully, this effort will drive leaps in productivity across the entire field, leading to exciting new discoveries in oceanography and climate science.
The Climate Data Science Lab builds on the work of the Pangeo Project. Pangeo was founded to improve coordination and community within the open source geoscience community. The Pangeo collaboration has lead to dramatic improvements in the integration and scalability of netCDF, Xarray, Dask, Zarr and related libraries, on both traditional High Performance Computing systems and cloud platforms. The focus of the Climate Data Science Lab is the development of flexible yet performant layer of high-level software tools for oceanography and climate-specific operations that interoperate with the rest of the Pangeo tools. We will also work on improving the integration between these tools and machine learning libraries such as TensorFlow and PyTorch.
Anticipatory Analytics for Environmental Stressors
Anticipatory Analytics for Environmental Stressors Phase 2
Exploring STEM Impact and Engagement in Student-Led and Purpose-Driven Projects
Interface of the Natural Sciences and Data Sciences