Regional and Mesoscale Meteorology Branch The GOESR Risk Reduction Project (GOES-R3)

The GOESR Risk Reduction Project (GOES-R3)

2017 through 2020 Participants, Projects/Proposals, and Reports

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	Final Report
	Tony Wimmers Wimmers@ssec.wisc.edu	303	Evaluation of Turbulence-Detection Methods on Himawari-8	Report	Report	Report	Report	Report	Report	Final Report
	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 Report CIRA Report	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	Final Report
	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	Final Report
	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	Report	Final Report
	Milija.Zupanski Milija.Zupanski@colostate.edu	410	Data assimilation of GLM observations in HWRF/GSI system		Report	Report	Report	Report	Report	Final 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	Report	Report	Report	Report	Final 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	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	Final Report

Other

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	Final Report
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 Poster	Report	Report	Report	Final Report
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

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