ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures
- ADS bibcode
- 2018AGUFMED53E0758P
- year
- 2018
- Listed Authors
- Prabhat, M.
- Kashinath, K.
- Kurth, T.
- Mudigonda, M.
- Mahesh, A.
- Toms, B. A.
- Biard, J.
- Kim, S. K.
- Kahou, S.
- Loring, B.
- Stewart, J.
- Ganguly, S.
- O'Brien, T. A.
- Kunkel, K.
- Wehner, M. F.
- Collins, W. D.
- Listed Institutions
- University of California Berkeley, Berkeley, CA, United States
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- National Energy Research Supercomputing Computing Center (NERSC), Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- University of California Berkeley, Berkeley, CA, United States
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Colorado State University, Fort Collins, CO, United States
- Cooperative Institute for Climate and Satellite North Carolina State, Asheville, NC, United States
- LLNL, Livermore, CA, United States
- Microsoft Research, Montreal, Canada
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- NOAA Earth System Research Laboratory and Cooperative Institute for Research in the Atmosphere, Boulder, CO, United States
- Organization Not Listed, Washington, DC, United States
- Climate & Ecosystem Sciences Division, Lawrence Berkeley National Lab, Berkeley, CA, United States
- University of Illinois at Urbana Champaign, Urbana, IL, United States
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Berkeley Lab and UC Berkeley, Berkeley, CA, United States
Linked Authors [?]
Linked Institutions