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Campbell D Watson
Campbell D Watson
IBM Research
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
The Deep Propagating Gravity Wave Experiment (DEEPWAVE): An airborne and ground-based exploration of gravity wave propagation and effects from their sources throughout the …
DC Fritts, RB Smith, MJ Taylor, JD Doyle, SD Eckermann, A Dörnbrack, ...
Bulletin of the American Meteorological Society 97 (3), 425-453, 2016
1642016
Interaction of urban heat islands and heat waves under current and future climate conditions and their mitigation using green and cool roofs in New York City and Phoenix, Arizona
M Tewari, J Yang, H Kusaka, F Salamanca, CD Watson, L Treinish
Environmental Research Letters 14 (3), 034002, 2019
882019
Statistics and dynamics of aircraft encounters of turbulence over Greenland
TP Lane, JD Doyle, RD Sharman, MA Shapiro, CD Watson
Monthly weather review 137 (8), 2687-2702, 2009
572009
Sensitivities of orographic precipitation to terrain geometry and upstream conditions in idealized simulations
CD Watson, TP Lane
Journal of the atmospheric sciences 69 (4), 1208-1231, 2012
302012
Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR
CD Watson, C Wang, T Lynar, K Weldemariam
NeurIPS 2020 https://arxiv.org/pdf/2012.01233.pdf, 2020
212020
The Deep Propagating Gravity Wave Experiment (DEEPWAVE): An airborne and ground-based exploration of gravity wave propagation and effects from their sources throughout the …
DC Fritts, RB Smith, MJ Taylor, JD Doyle, SD Eckermann, A Dörnbrack, ...
BAMS-D-14-00269.1, 2016
202016
Aerosol impacts on thermally driven orographic convection
AD Nugent, CD Watson, G Thompson, RB Smith
Journal of the Atmospheric Sciences 73 (8), 3115-3132, 2016
192016
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
P Harder, Q Yang, V Ramesh, P Sattigeri, A Hernandez-Garcia, C Watson, ...
arXiv preprint arXiv:2208.05424 18, 109-122, 2022
152022
Extreme precipitation seasonal forecast using a transformer neural network
DS Civitarese, D Szwarcman, B Zadrozny, C Watson
arXiv preprint arXiv:2107.06846, 2021
142021
Fourier neural operators for arbitrary resolution climate data downscaling
Q Yang, A Hernandez-Garcia, P Harder, V Ramesh, P Sattegeri, ...
arXiv preprint arXiv:2305.14452, 2023
112023
Multiscale neural operator: Learning fast and grid-independent pde solvers
B Lütjens, CH Crawford, CD Watson, C Hill, D Newman
arXiv preprint arXiv:2207.11417, 2022
112022
A case of an undular bore and prefrontal precipitation in the Australian Alps
CD Watson, TP Lane
Monthly Weather Review 144 (7), 2623-2644, 2016
112016
Further sensitivities of orographic precipitation to terrain geometry in idealized simulations
CD Watson, TP Lane
Journal of the Atmospheric Sciences 71 (8), 3068-3089, 2014
112014
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
82023
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network
J Nathaniel, G Nyirjesy, CD Watson, CM Albrecht, LJ Klein
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
62023
Hard-constrained deep learning for climate downscaling
P Harder, A Hernandez-Garcia, V Ramesh, Q Yang, P Sattegeri, ...
Journal of Machine Learning Research 24 (365), 1-40, 2023
62023
Reservoir computing in reduced order modeling for chaotic dynamical systems
AC Nogueira Jr, FCT Carvalho, JLS Almeida, A Codas, E Bentivegna, ...
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
62021
Processes controlling precipitation in shallow, orographic, trade wind convection
CD Watson, RB Smith, AD Nugent
Journal of the Atmospheric Sciences 72 (8), 3051-3072, 2015
62015
Controlling weather field synthesis using variational autoencoders
DAB Oliveira, JG Diaz, B Zadrozny, CD Watson, XX Zhu
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
52022
Reduced order modeling of dynamical systems using artificial neural networks applied to water circulation
A Costa Nogueira Jr, JL de Sousa Almeida, G Auger, CD Watson
arXiv e-prints, arXiv: 2103.10931, 2020
52020
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