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Project: Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE)
Title Date
Size of the atmospheric blocking events: A scaling law and response to climate change RGMA
The Longitude of Tropical Pacific Deep Convection: A Perspective on ENSO Diversity and Implications for Western US Hydroclimate RGMA
Contrasting ITCZ changes over recent decades and under anthropogenic warming: causes and impacts RGMA
Spontaneous Tropical Cyclogenesis without Radiative and Surface-Flux Feedbacks. RGMA
High Latitude Water Vapor in CMIP6 models (Invited) RGMA
Probabilistic AR Detection for Understanding Western Coastal Hydroclimate RGMA
A Topology-Based Approach To Characterization and Detection of Weather Patterns in Climate Model Output: Application to Atmospheric Blocking Events RGMA
Deep Learning recognizes climate and weather patterns and emulates complex processes critical to the modeling of Earth's climate RGMA
Probabilistic Detection of Extreme Weather Using Deep Learning Methods RGMA
Exascale Deep Learning for Climate Science RGMA
How strong is the relationship between the large-scale environment and tropical cyclone climatology in climate models? RGMA
ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures RGMA
Remote sensing and regression analysis of impacts from Hurricane Maria on forest of Puerto Rico RGMA
Using a statistical tropical cyclone genesis model for assessing differences in climate scenarios and geographic basins RGMA
Oceanic and Atmospheric Controls on Tropical Cyclone Activity RGMA
Deep learning on the Sphere: Convolutional Neural Network on Unstructured Mesh RGMA
Our Changing Climate: National Climate Assessment NCA4 Vol. 2, Chapter 2 RGMA
The life cycle of a pocket of open cells and its response to biomass burning aerosol RGMA
Climate Science in the Fourth US National Climate Assessment RGMA
Anthropogenic Influences on the Intensity and Rainfall of Major Tropical Cyclone Events RGMA
Tropical Cyclones in High-Resolution Community Atmosphere Model version 5: Evaluation for Western North Pacific RGMA
Multivariate Metrics to Quantify Co-occurring Extremes Resulting from the Dipole Circulation Pattern RGMA
Microphysical Sensitivity of Superparameterized Precipitation Extremes in the Continental US Due to Feedbacks on Large-scale Circulation RGMA
Chance Rather than Trends in the Unusual 2017 California Wet Season RGMA
Deep Learning recognizes weather and climate patterns RGMA
Probabilistic detection of extreme weather using deep learning methods RGMA
Detecting climate change impacts on North Atlantic hurricane precipitation and size in a high-resolution climate model RGMA
Using deep learning for probabilistic detection of extreme weather RGMA
Spatially-resolved trends in observed extreme precipitation over the United States RGMA
Causality and extreme event attribution. Or, was my house flooded because of climate change? RGMA

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