ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures
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W[2018AGUFMED53E0758P]
LA["Linked Authors (0)"]
LI["Linked Institutions (7)"]
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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
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Linked Institutions