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An Enhanced Lake Effect Nowcasting Tool Using Synergistic GOES-R, NEXRAD, and Ground-Based Snowfall Microphysics Observations
Principal Investigator: Mark Kulie (CIMSS
Proposal Abstract | Proposal Summary
Assessment of GOES-R ABI Level 1B Radiances for NWP Applications
Principal Investigator: Fuzhong Weng (STAR)
Proposal Abstract | Proposal Summary
Assimilation of High-Frequency GOES-R Geostationary Lightning Mapper (GLM) Flash Extent Density Data in GSI-Based EnKF and Hybrid for Improving Convective Scale Weather Predictions
Principal Investigator: Ming Xue (CAPS/OU)
Proposal Abstract | Proposal Summary
Assimilation of High Resolution GOES-R ABI Infrared Water Vapor and Cloud Sensitive Radiances using the GSI-based Hybrid Ensemble-variational Data Assimilation System to Improve Convection Initiation Forecast
Principal Investigator: Xuguang Wang (Univ. of Oklahoma)
Proposal Abstract | Proposal Summary
Bayesian Merging of GLM data with Ground-Based Networks
Principal Investigator: Phillip Bitzer (UAH)
Proposal Abstract | Proposal Summary
Data Assimilation of GLM Observations in HWRF/GSI System
Principal Investigator: Milija Zupanski (CIRA)
Proposal Abstract | Proposal Summary
Developing an Environmental Awareness Repertoire of ABI Imagery (‘DEAR-ABII’) to Advise the Operational Weather Forecaster
Principal Investigator: Steven Miller (CIRA)
Proposal Abstract | Proposal Summary
Development of GOES-R IR Clear-Sky and All-Sky Radiance Products for NCEP
Walter Wolf (STAR/ASSISTT)
Proposal Abstract | Proposal Summary
GOES-R ABI Channel Differencing Used to Reveal Cloud-free Zones of ‘Precursors of Convective Initiation’
Principal Investigator: Lewis Grasso (CIRA)
Proposal Abstract | Proposal Summary
GOES-R Volcanic Ash Risk Reduction (R3): New operational GOES-R decision support within NOAA's High Resolution Rapid Refresh
Principal Investigator: Martin Stuefer (Univ. of Alaska, Fairbanks)
Proposal Abstract | Proposal Summary
Improving the ABI Cloud Layers Product for Multiple Layer Cloud Systems and Aviation Forecast Applications
Principal Investigator: John Haynes (CIRA)
Proposal Abstract | Proposal Summary
Improving the Assimilation of High-Resolution GOES-16 Water Vapor Variables and Atmospheric Motion Vectors in the HWRF Model
Principal Investigator: Jun Li (CIMSS)
Proposal Abstract | Proposal Summary
Integration of GOES-R/ABI data in Flood Mapping Software for Flood Monitoring and Forecasting
Principal Investigator: Sanmei Li (George Mason Univ.)
Proposal Abstract | Proposal Summary
Integration of the Geostationary Lightning Mapper with Ground-based Lightning Detection Systems for National Weather Service Operations
Principal Investigator: Kristin Calhoun (CIMMS)
Proposal Abstract | Proposal Summary
Probabilistic Precipitation Rate Estimates from GOES-R for Hydrologic Applications
Principal Investigator: Pierre Kirstetter (Univ. of Oklahoma)
Proposal Abstract | Proposal Summary
ProbSevere: Upgrades and Adaptation to Offshore Thunderstorms
Principal Investigator: Michael Pavolonis (STAR)
Proposal Abstract | Proposal Summary
Using the New Capabilities of GOES-R to Improve Blended, Multisensor Water Vapor Products for Forecasters
Principal Investigator: John Forsythe (CIRA)
Proposal Abstract | Proposal Summary
Utilizing Sub-Flash Properties of GLM to Monitor Convective Intensity with Probabilistic Guidance
Principal Investigator: Christopher Schultz (NASA MSFC)
Proposal Abstract | Proposal Summary
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