Deep learning for Environmental and Ecological Prediction-eValuation and Insight with Ensembles of Water quality (DEEP-VIEW)
Modular framework for multi-sensor segmentation
Demonstrate High-Level Space Mission Requirement Flowdown to Software Requirements Using Generative Artificial Intelligence (AI)
Automated identification of cloud ice crystal types and supercooled liquid
Determining Cloud Particle Types Using Backscatter Lidar Data and a Clustering Approach
Automated identification of cloud ice crystal types and supercooled liquid
Development of a machine learning emulator for CAM-CMAQ to improve wildfire smoke forecasts
Development of a machine learning emulator for CAM-CMAQ to improve wildfire smoke forecasts
Development of digital twin technologies for climate prediction
Development of digital twin technologies for climate prediction
Development of real-time high-resolution air quality maps through combination of model output, satellite data, and ancillary Google datasets
Development of real-time high-resolution air quality maps through combination of model output, satellite data, and ancillary Google datasets
Dynamic Time Interpolation using Spherical Harmonic Neural Operator Models
Dynamic Time Interpolation using Spherical Harmonic Neural Operator Models
ECCOH & "Quick Chemistry" for Atmospheric Composition and Climate Studies
ECCOH & "Quick Chemistry" for Atmospheric Composition and Climate Studies
ESDIS VisML
ESDIS VisML
Estimate global satellite AOD from visible to ultra-violet
Estimate global satellite AOD from visible to ultra-violet
Fast neural network emulator for vector radiative transfer simulations
Fast neural network emulator for vector radiative transfer simulations
Fast radiative transfer emulation for GHG retrievals
Fast radiative transfer emulation for GHG retrievals
Fast Retrieval Emulators for Instrumenting Climate Models
Fast Retrieval Emulators for Instrumenting Climate Models
FluxSat Gross Primary Production - global upscaling of eddy covariance with machine learning
FluxSat Gross Primary Production - global upscaling of eddy covariance with machine learning
GAIT: Generative AI Teleoperations for Robotics
GAIT: Generative AI Teleoperations for Robotics
Generalized photometric neural network framework
Generalized photometric neural network framework
Generalized time-series anomaly detection for rapid data survey of in-situ observations
Generalized time-series anomaly detection for rapid data survey of in-situ observations
Generating localized air quality forecasts for US embassies using ML and GEOS-FP
Generating localized air quality forecasts for US embassies using ML and GEOS-FP
Giovanni GPT
Giovanni GPT
Ground Safety AI
Ground Safety AI
Hybrid Model to emulate GEOS physics
Hybrid Model to emulate GEOS physics
Identification of dust from MODIS/VIIRS sensors using ML
Identification of dust from MODIS/VIIRS sensors using ML
Improving greenhouse gas retrievals using a PCA-NN technique
Improving greenhouse gas retrievals using a PCA-NN technique
Improving quality of SO2 retrievals using a machine learning based analysis technique
Improving quality of SO2 retrievals using a machine learning based analysis technique