CIRA GOESR RISK REDUCTION PROJECT MILESTONES 20032006 LAST UPDATED

CIRA GOES-R Risk Reduction Project Milestones 2003-2006

CIRA GOES-R Risk Reduction Project Milestones 2003-2006

Last Updated 9/29/03

I. Database Development

Dec 2003 – Establish project web site and mass storage system for data archival

Mar 2004 - Completion of data collection for severe weather, tropical cyclone and winter weather case studies (conventional data, satellite data (GOES, AVHRR, MODIS, AIRS) and specialized in situ datasets such as GPS dropsondes in hurricane environments, CART site data for severe weather case)

Aug 2004 – Present results of analysis GOES-R simulated data for case studies at the hyperspectral workshop in Madison, WI

Sep 2004 - Development of processing system for mapping of datasets to common format

Jan 2005 – Creation of GOES-R imager “subsets”, comparison with in situ data

Sep 2005 – Analysis of AIRS, GOES soundings in tropical storm, severe weather environments

Dec 2005- Extension of case study analyses to real-time cases

Aug 2006 – Complete research publication describing utility of GOES-R using case study database

Sept 2006 – Establishment of real-time multi-platform tropical cyclone, severe and winter weather web site for research, education and training

II. Numerical Modeling Studies

Dec 2003 – Obtain operational eta model analyses, forecasts and operational data input for case studies

Mar 2003 – Completion of high resolution mesoscale model simulations for case studies

Sep 2004 – Complete development of radiative transfer models for mesoscale model output, and generate simulated GOES-R data for case studies (this will involve coordination with JCSDA community radiative transfer model development)

Dec 2004 – Perform time series analysis of case study simulations to help determine time resolution requirements in storm environments.

March 2005-Complete research publication on estimates of GOES-R sounder time- resolution requirements for tropical cyclones, severe weather and Lake effect snow, based upon time series analyses of numerical simulations

Sep 2005 – Perform “identical (sub-sample model for input to data assimilation system) and fraternal (sub-sample different model for input to data assimilation system) twin” experiments to assess impact of high time resolution input on mesoscale simulations

Dec 2005 – Coordinate with Weather Research and Forecast (WRF) modeling group to determine if transition from CSU RAMS mesoscale for future studies is possible

March 2006-Complete research publication on potential impact of GOES-R data on tropical cyclone, severe weather and lake effect snow forecasts, based upon identical and fraternal twin experiments

Sep 2006 – Data assimilation studies for case studies using real-data input with either RAMS or WRF model

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