S. Karthik Mukkavilli
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Drawdown: The most comprehensive plan ever proposed to reverse global warming
P Hawken
Penguin, 2017
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022
Assessment of atmospheric aerosols from two reanalysis products over Australia
SK Mukkavilli, AA Prasad, RA Taylor, J Huang, RM Mitchell, A Troccoli, ...
Atmospheric research 215, 149-164, 2019
Visualizing the consequences of climate change using cycle-consistent adversarial networks
V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ...
International Conference on Learning Representations (ICLR), AI for Social …, 2019
Mesoscale simulations of Australian direct normal irradiance, featuring an extreme dust event
SK Mukkavilli, AA Prasad, RA Taylor, A Troccoli, MJ Kay
Journal of Applied Meteorology and Climatology 57 (3), 493-515, 2018
Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals
H Mehmood, SK Mukkavilli, I Weber, A Koshio, C Meechaiya, T Piman, ...
United Nations University Institute for Water, Environment an d Health …, 2020
EnviroNet: ImageNet for Environment
SK Mukkavilli, P Tissot, A Ganguly, L Joppa, D Meger, G Dudek
18th Conference on Artificial and Computational Intelligence and its …, 2019
Lifelines for a Drowning Science‐Improving Findability and Synthesis of Hydrologic Publications
L Stein, SK Mukkavilli, T Wagener
Hydrological Processes, e14742, 2022
Deep learning for Aerosol Forecasting
C Hoyne, SK Mukkavilli, D Meger
Neural Information Processing Systems (NeurIPS), Machine Learning and the …, 2019
Predicting ice flow using machine learning
Y Min, SK Mukkavilli, Y Bengio
Neural Information Processing Systems (NeurIPS), Tackling Climate Change …, 2019
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
SK Mukkavilli, DS Civitarese, J Schmude, J Jakubik, A Jones, N Nguyen, ...
arXiv preprint arXiv:2309.10808, 2023
Generative large eddy simulations with conditional variational autoencoders
SK Mukkavilli, MS Pritchard, KG Pressel, G Mooers, PL Ma, S Mandt
AGU Fall Meeting Abstracts 2020, A043-0009, 2020
Climate Change & AI: Present and potential role of AI in assessment and response
L Joppa, V Lakshmanan, V Kumar, G Dudek, SK Mukkavilli, P Tissot
99th American Meteorological Society Annual Meeting, 2019
A 3D spatial self-attention module on a non-uniform vertical coordinate for super-resolution wind fields
T Kurihana, K Yeo, D Szwarcman, B Elmegreen, SK Mukkavilli
AGU23, 2023
Foundation Models for Generalist Geospatial Artificial Intelligence
J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ...
arXiv preprint arXiv:2310.18660, 2023
TensorBank: Tensor Lakehouse for Foundation Model Training
R Kienzler, B Blumenstiel, ZA Nagy, SK Mukkavilli, J Schmude, M Freitag, ...
arXiv preprint arXiv:2309.02094, 2023
AB2CD: AI for Building Climate Damage Classification and Detection
M Nitsche, SK Mukkavilli, N Kühl, T Brunschwiler
arXiv preprint arXiv:2309.01066, 2023
Knowledge Graphs in Deep Search Climate-Hub
SK Mukkavilli, B Pfitzmann, A Jones, T Brunschwiler, P Fraccaro, ...
Fall Meeting 2022, 2022
Reliable modeling and prediction of precipitation & radiation for mountainous hydrology
D Feldman, V Chandrasekar, P Dennedy-Frank, D Dwivedi, M Mudigonda, ...
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States …, 2021
Toward Generative Superparameterized Updrafts with Variational Autoencoder Interpretability
G Mooers, S Mandt, M Pritchard, T Beucler, J Tuyls, K Mukkavilli
101st American Meteorological Society Annual Meeting, 2021
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