|
Participants |
Contacts |
Projects |
Project Titles 2016 – 2019 |
January-June 2017 Reports | July-December 2017 Reports | January-June 2018 Reports | July-December 2018 Reports | January-June 2019 Reports | July-December 2019 Reports | January-June 2020 Reports |
| CoRP | 2016 2017 | |||||||||
| CIMSS StAR | Mike Pavolonis Mike.Pavolonis@noaa.gov | 301 | VOLCAT Development for GOES-R: Volcanic Ash and SO2 | Report | Report | Report | Report | Report | Report | Final Report |
| Mike Pavolonis Mike.Pavolonis@noaa.gov | 302 | Fog and Low Stratus | Report | Report | FinalReport | |||||
| Tony Wimmers Wimmers@ssec.wisc.edu | 303 | Evaluation of Turbulence-Detection Methods on Himawari-8 | Report | Report | Report | Report | Report | Report | FinalReport | |
| Brad Pierce Brad.Pierce@noaa.gov Chris Velden chrisv@ssec.wisc.edu Megan Bela megan.bela@noaa.gov | 308 | CIMSS Support to GOES-R High Impact Weather Risk Reduction | Report | Report | Report | Report | Report | Report | Report | |
| Mike Pavolonis Mike.Pavolonis@noaa.gov | 421 | ProbSevere: Upgrades and Adaptation to Offshore Thunderstorms | CIMSS ReportCIRAReport | Report | Report | Report | Report | Final Report | ||
| Jun Li Jun.Li@ssec.wisc.edu | 439 | Improving the Assimilation of High-Resolution GOES-16 Water Vapor Variables and Atmospheric Motion Vectors in the HWRF Model | Report | Report | Report | Report | Report | FinalReport | ||
|
Claire Pettersen Claire.Pettersen@ssec.wisc.edu Mark Kulie Mskulie@wisc.edu |
480 | An Enhanced Lake Effect Nowcasting Tool Using Synergistic GOES-R, NEXRAD, and Ground-Based Snowfall Microphysics Observations | Report | Report | Report | Report | Report | FinalReport | ||
| Satya Kalluri Satya.Kalluri@noaa.gov | 488 | Upgrading the GOES ET and Drought (GET-D) Product System for GOES-16 and 17 | Report | Report | Report | Report | Report | Report | Final Report | |
| CIRA StAR | Chris Kummerow Christian.Kummerow@colostate.edu Steve Miller Steven.Miller@colostate.edu Kyle Hilburn Kyle.Hilburn@colostate.edu | 307 | Connecting GOES-R High Resolution Temporal Information with Rapid Updating Models | Report | Report | Report | Report | Report | FinalReport | |
| Milija.Zupanski Milija.Zupanski@colostate.edu | 410 | Data assimilation of GLM observations in HWRF/GSI system | Report | Report | Report | Report | Report | FinalReport | ||
|
Lewis Grasso Lewis.Grasso@colostate.edu |
420 | GOES-R ABI channel differencing used to reveal cloud-free zones of ‘precursors of convective initiation’ | Report | Report | Report | Report | Report | FinalReport | ||
| John Forsythe John.Forsythe@colostate.edu | 444 | Using the New Capabilities of GOES-R to Improve Blended, Multisensor Water Vapor Products for Forecasters | Report | Report | Report | Report | Report | 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 | Report | Report | Report | Report | Final Report | ||
| John Haynes John.Haynes@colostate.edu | 479 | Improving the ABI Cloud Layers Product for Multiple Layer Cloud Systems and Aviation Forecast Applications | Report | Report | Report | Report | Report | 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 | Report | Report | Report | Report | FinalReport | |
|
Other |
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| 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 | Report | Report | Report | Report | FinalReport | |
| University of Oklahoma | Pierre Kirstetter Pierre.Kirstetter@noaa.gov | 424 | Probabilistic precipitation rate estimates from GOES-R for hydrologic applications | Report | Report | Report | Report | Report | Final 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 | Report | Report | Report | Report | Final Report | |
| University of Alabama-Huntsville | Phillip Bitzer phillip.bitzer@nsstc.uah.edu | 450 | Bayesian Merging of GLM data with Ground-Based Networks | Report | Report | Report | Report |
Report |
Final Report | |
| 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 | Report | Report |
Report |
FinalReport | ||
| 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 | Report | Report | Report |
Report |
Report | |