2016 and 2017 Participants, Projects/Proposals, and Reports
| Participants | Contacts | Project Numbers | Proposal Titles 2016 and 2017 | July-December 2016 Reports | January-June 2017 Reports | July-December 2017 Reports |
|---|---|---|---|---|---|---|
| Cooperative Institutes | 2016 2017 | |||||
| CIMSS STAR | Mike Pavolonis Mike.Pavolonis@noaa.gov | 301 | SO2 Detection | Report | Report | |
| Mike Pavolonis Mike.Pavolonis@noaa.gov | 302 | Fog and Low Stratus | Report | Report | Report | |
| Tony Wimmers Wimmers@ssec.wisc.edu | 303 | Turbulence Detection | ||||
| Brad Pierce brad.pierce@noaa.gov | 308 | CIMSS Support to GOES-R High Impact Weather Risk Reduction | Report | Report | ||
| Satya Kalluri Satya.Kalluri@noaa.gov | 406 | Assessment of GOES-R ABI Level 1B Radiances for NWP Applications | ||||
| Mike Pavolonis Mike.Pavolonis@noaa.gov | 421 | ProbSevere: Upgrades and Adaptation to Offshore Thunderstorms | CIMSS Report CIRA Report | |||
| Jun Li Jun.Li@ssec.wisc.edu | 439 | Improving the Assimilation of High-Resolution GOES-16 Water Vapor Variables and Atmospheric Motion Vectors | Report | |||
| Mark Kulie mskulie@wisc.edu | 480 | An Enhanced Lake Effect Nowcasting Tool Using Synergistic GOES-R, NEXRAD, and Ground-Based Snowfall Microphysics Observations | ||||
| Walter Wolf Walter.Wolf@noaa.gov | 486 | Development of GOES-R IR Clear-Sky and All-Sky Radiance Products for NCEP | Report | |||
| CIRA STAR | Chris Kummerow christian.kummerow @colostate.edu Steve Miller Steven.Miller @colostate.edu Dan Lindsey Dan.Lindsey@noaa.gov | 307 | Connecting GOES-R High Resolution Temporal Information with Rapid Updating Models | Report | Report | Report |
| Milija.Zupanski Milija.Zupanski @colostate.edu | 410 | Data assimilation of GLM observations in HWRF/GSI system | Report | |||
| Lewis Grasso Lewis.Grasso @colostate.edu | 420 | GOES-R ABI channel differencing used to reveal cloud-free zones of ‘precursors of convective initiation’ | Report | |||
| John Forsythe John.Forsythe @colostate.edu | 444 | Using the New Capabilities of GOES-R to Improve Blended, Multisensor Water Vapor Products for Forecasters | Report | |||
| Steve Miller Steven.Miller @colostate.edu | 476 | Developing an Environmental Awareness Repertoire of ABI Imagery (‘DEAR-ABII’) to Advise the Operational Weather Forecaster | Report | |||
| John Haynes John.Haynes @colostate.edu | 479 | Improving the ABI Cloud Layers Product for Multiple Layer Cloud Systems and Aviation Forecast Applications | Report | |||
| CIRA CIMMS | Kristin Calhoun Kristin.Kuhlman @noaa.gov | 477 | Integration of the Geostationary Lightning Mapper with ground-based lightning detection systems for National Weather Service Operations | Report | ||
| CICS STAR | Ralph Ferraro ralph.r.ferraro @noaa.gov | 309 | GOES-R Water Cycle Products and Services to Support the NWS | Report | Report | Report |
| Other | ||||||
| University of Wisconsin Madison | Pao Wang pwang1@wisc.edu | 304 | Modeling of Cloud Top Features | |||
| George Mason University | Sanmei Li slia@masonlive.gmu.edu | 402 | Integration of GOES-R/ABI data in Flood Mapping Software for Flood Monitoring and Forecasting | Report | ||
| University of Oklahoma | Pierre Kirstetter pierre.kirstetter @noaa.gov | 424 | Probabilistic precipitation rate estimates from GOES-R for hydrologic applications | Report | ||
| University of Oklahoma | Xuguang Wang xuguang.wang@ou.edu | 449 | 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 | Report | ||
| University of Alabama-Huntsville | Phillip Bitzer pm.bitzer@uah.edu | 450 | Bayesian Merging of GLM data with Ground-Based Networks | |||
| NASA MSFC | Christopher Schultz christopher.j.schultz @nasa.gov | 460 | Utilizing Sub-Flash Properties of GLM to Monitor Convective Intensity with Probabilistic Guidance | Report Poster Abstract | ||
| CAPS University of Oklahoma | Ming Xue mxue@ou.edu | 473 | 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 | Report | ||
| University of Alaska Fairbanks | Martin Stuefer stuefer@gi.alaska.edu | 487 | GOES-R Volcanic Ash Risk Reduction (R3): New operational GOES-R decision support within NOAA’s High Resolution Rapid Refresh | Report |
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