119 citations · 371 across the 15 of their papers we have counts for
17 papers
Extreme events and statistics in an AI emulator of a global storm-resolving model
Anna Kwa, W. Andre Perkins, Troy Arcomano +7
We present HiRO-ACEv2 (High Resolution Output Ai2 Climate Emulator), a two-stage framework for AI emulation of the 3~km resolution X-SHiELD global storm-resolving model (GSRM), and…
Disentangling the effects of sea surface temperature and CO in global machine learned weather-climate emulators
Spencer K. Clark, Troy Arcomano, James P. C. Duncan +8
While previous versions of the Ai2 Climate Emulator (ACE) have been trained with CO as a forcing, they are only accurate within a narrow range of scenarios, for example climate…
HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model
W. Andre Perkins, Anna Kwa, Jeremy McGibbon +5
Kilometer-scale simulations of the atmosphere are an important tool for assessing local weather extremes and climate impacts, but computational expense limits their use to small re…
SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
James P. C. Duncan, Elynn Wu, Surya Dheeshjith +15
Traditional numerical global climate models simulate the full Earth system by exchanging boundary conditions between separate simulators of the atmosphere, ocean, sea ice, land sur…
ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO
Spencer K. Clark, Oliver Watt-Meyer, Anna Kwa +6
While autoregressive machine-learning-based emulators have been trained to produce stable and accurate rollouts in the climate of the present-day and recent past, none so far have…
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
Oliver Watt-Meyer, Brian Henn, Jeremy McGibbon +6
Existing machine learning models of weather variability are not formulated to enable assessment of their response to varying external boundary conditions such as sea surface temper…
Improving the predictions of ML-corrected climate models with novelty detection
Clayton Sanford, Anna Kwa, Oliver Watt-Meyer +4
While previous works have shown that machine learning (ML) can improve the prediction accuracy of coarse-grid climate models, these ML-augmented methods are more vulnerable to irre…
Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa, Spencer K. Clark, Brian Henn +6
Due to computational constraints, running global climate models (GCMs) for many years requires a lower spatial grid resolution ( km) than is optimal for accurately res…
Emulating Fast Processes in Climate Models
Noah D. Brenowitz, W. Andre Perkins, Jacqueline M. Nugent +6
Cloud microphysical parameterizations in atmospheric models describe the formation and evolution of clouds and precipitation, a central weather and climate process. Cloud-associate…
Machine Learning Climate Model Dynamics: Offline versus Online Performance
Noah D. Brenowitz, Brian Henn, Jeremy McGibbon +5
Climate models are complicated software systems that approximate atmospheric and oceanic fluid mechanics at a coarse spatial resolution. Typical climate forecasts only explicitly r…
Reconciling the Diversity and Uniformity of Galactic Rotation Curves with Self-Interacting Dark Matter
Tao Ren, Anna Kwa, Manoj Kaplinghat +1
Galactic rotation curves exhibit diverse behavior in the inner regions, while obeying an organizing principle, i.e., they can be approximately described by a radial acceleration re…
What the Milky Way's Dwarfs tell us about the Galactic Center extended excess
Ryan E. Keeley, Kevork N. Abazajian, Anna Kwa +2
The Milky Way's Galactic Center harbors a gamma-ray excess that is a candidate signal of annihilating dark matter. Dwarf galaxies remain predominantly dark in their expected commen…
The Galactic Isotropic -ray Background and Implications for Dark Matter
Sheldon S. Campbell, Anna Kwa, Manoj Kaplinghat
We present an analysis of the radial angular profile of the galacto-isotropic (GI) -ray flux--the statistically uniform flux in circular annuli about the Galactic center. Two di…
Lepton-Flavor Violating Mediators
Iftah Galon, Anna Kwa, Philip Tanedo
We present a framework where dark matter interacts with the Standard Model through a light, spin-0 mediator that couples chirally to pairs of different-flavor leptons. This flavor…
Hidden Sector Hydrogen as Dark Matter: Small-scale Structure Formation Predictions and the Importance of Hyperfine Interactions
Kimberly K. Boddy, Manoj Kaplinghat, Anna Kwa +1
We study the atomic physics and the astrophysical implications of a model in which the dark matter is the analog of hydrogen in a secluded sector. The self interactions between dar…
Investigating the Uniformity of the Excess Gamma rays towards the Galactic Center Region
Shunsaku Horiuchi, Manoj Kaplinghat, Anna Kwa
We perform a composite likelihood analysis of subdivided regions within the central of the Milky Way, with the aim of characterizing the spectrum of the ga…
Discovery of a New Galactic Center Excess Consistent with Upscattered Starlight
Kevork N. Abazajian, Nicolas Canac, Shunsaku Horiuchi +2
We present a new extended gamma ray excess detected with the Fermi Satellite Large Area Telescope toward the Galactic Center that traces the morphology of infrared starlight emissi…