A5059589135- Cryospheric studies and observations
- Atmospheric chemistry and aerosols
- Species Distribution and Climate Change
- Air Quality Monitoring and Forecasting
- Scientific Computing and Data Management
- Research Data Management Practices
- Winter Sports Injuries and Performance
- Atmospheric and Environmental Gas Dynamics
- Reservoir Engineering and Simulation Methods
George Mason University
2022
Effective and precise monitoring is a prerequisite to control human emissions slow disruptive climate change. To obtain the near-real-time status of power plant emissions, we built machine learning models trained them on satellite observations (Sentinel 5), ground observed data (EPA eGRID), meteorological (MERRA) directly predict NO2 emission rate coal-fired plants. A novel approach preprocessing multiple sources, coupled with neural network (RNN, LSTM), provided an automated way predicting...
This paper replicates a snow depth estimation workflow in Geoweaver based on data from NASA National Snow and Ice Data Center (NSIDC), Airborne Observatory (ASO), Moderate Resolution Imaging Spectroradiometer (MODIS) datasets to make it more FAIRable for the community. The searches retrieves spatiotemporally coincident various sources, preprocesses data, trains/tests using linear regression model deep learning model. trained will be able estimate new remote sensed observations. Our...