ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures
Mr Prabhat1, Karthik Kashinath2, Thorsten Kurth3, Mayur Mudigonda1, Ankur Mahesh4, Benjamin A Toms5, Jim Biard6, Soo Kyung Kim7, Samira Kahou8, Burlen Loring9, Jebb Stewart10, Sangram Ganguly11, Travis Allen O'Brien12, Kenneth Kunkel13, Michael F Wehner14 and William Drew Collins15, (1)University of California Berkeley, Berkeley, CA, United States, (2)NVIDIA Corporation, Santa Clara, CA, United States, (3)NVIDIA Corporation, Zurich, Switzerland, (4)Lawrence Berkeley National Laboratory, Earth and Environmental Science, Berkeley, United States, (5)Colorado State University, Fort Collins, CO, United States, (6)Cooperative Institute for Climate and Satellite North Carolina State, Asheville, NC, United States, (7)LLNL, Livermore, United States, (8)Microsoft Research, Montreal, Canada, (9)Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, United States, (10)NOAA Global Systems Laboratory, Boulder, United States, (11)Rhombus Power, Palo Alto, United States, (12)Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, United States, (13)University of Illinois at Urbana Champaign, Urbana, United States, (14)Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, United States, (15)Berkeley Lab and UC Berkeley, Berkeley, United States
