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Derek Posselt
NASA Jet Propulsion LaboratoryMeeting roles in:
Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences I Oral
NASA’s Investigation of Convective Updrafts (INCUS) Mission: Observing the Drivers of Severe Weather from Space Poster
Unraveling Tropical Storm Dynamics with NASA’s INCUS Mission
Microphysical Considerations in Spaceborne Radar and Microwave Radiometer Observations and Simulations for Deep Convection
The INCUS Mission Data Products
High-resolution Numerical Simulations of Tropical Convection for the NASA INCUS Mission
Linking Air-Sea Interactions to Mesoscale Developments within Extratropical Cyclones and Atmospheric Rivers
Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences II: Advancing Data Assimilation for Earth System Prediction II Oral
Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences III: Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling III Oral
Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences IV Poster
Nonlinear GenAI-Based Ensemble Data Assimilation Methods Applied to Convective-Scale Cloud Microphysical Parameter Estimation
How can observations be used to quantify and reduce Earth system model uncertainty?
Dust and Primary Biological Aerosol Effects on Sea Breeze Systems over Houston
Enter Note
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