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TIGGE Data Archive at NCAR. 9th GIFS-TIGGE Working Group World Meteorological Organization Geneva 31 Aug – 2 Sep, 2011 Doug Schuster Steven Worley Dave Stepaniak Tom Cram Others. Provider Summary. Archive Summary Service Improvements Special Projects Metrics
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TIGGE Data Archive at NCAR 9th GIFS-TIGGE Working Group World Meteorological Organization Geneva 31 Aug – 2 Sep, 2011 Doug Schuster Steven Worley Dave Stepaniak Tom Cram Others
Provider Summary • Archive Summary • Service Improvements • Special Projects • Metrics • Future Service Additions
Summary of Current Data Providers • KMA and BoM stopped providing data • JMA now providing 00z analysis files
Archive Summary at NCAR • Online Data • Period, most recent 3 months • ~ 50 TB , public products • ~ 10 TB, data preparation, subsetting • ~ 180GB Tropical Cyclone Track Data (CXML) • Offline Data • Full period of record • ~ 600 TB, NCAR HPSS system
2010/2011 Service Improvements • Increased online data volume • 5 TB -> 50 TB • 2 weeks -> 3 months • Transitioned to new computing hardware • Operates on longer data time-series (3 months) • Faster request turn-around time • Transitioned to new HPSS tape archive • Improved response time to access data • Strengthened data ingest processing • New ldm server • System monitoring (disk capacity, LDM status, etc) • Failover mechanisms for LDM downtime
2010/2011 Special Projects • Developed and implemented first version of TIGGE model validation data portal • Offers a wide variety of observational and analysis data • NCEP PREPBUFR data • Used to initialize NCEP models • Surface and Upper Air -T,U,V,Q,Z • Others to come • NCEP precipitation analysis • TWG suggestions?
2010/2011 Special Projects • Developed and implemented first version of TIGGE model validation data portal • Integrated with TIGGE model data subsetting portal • Check box to add model validation data based on model subset request parameters • NetCDF and ASCII output formats • Compatible with Mettools verification software • http://www.dtcenter.org/mrt/users • Stand alone portal for independent requests • Sends notification email with download instructions
NCAR TIGGE Model Data Archive Usage More data available for subsetting
Planned Service Improvements • Improved Online Storage • High performance centralized disk to facilitate subsetting services • Expanded/Updated Computing • Transition subsetting processing to HPC environment ~late 2012 – 2013. • Faster “turn-around” time on user sub-set requests • Potential for subscription services? • Web services based requests? • Special Projects Support -Hopson Meningitis Proposal? • Pending THORPEX Program Office Approval
Planned Service Improvements • Model Validation Data Portal • Add more data source options • Ocean based observations (ICOADS) • Global tropical cyclone position and intensity data • Atmospheric Reanalysis (JRA, ERA, NNRR, CFSR) • Global PCP datasets • Suggested TWG sets • Data sub-set and output format selection capability. • Add output format options
Data Delivery (02/2010) • Data exchanges using UNIDATA LDM, HTTP and FTP • 450 GB/day (ECMWF = 332 GB/day) • 1.7+ million 2-D gridded fields/day
Parameter vs Provider Matrix PL = Pressure Level, PT = 320K θ Level, PV = ± 2 Potential Vorticity Level, SL = Single/Surface Level
Parameter vs Provider Matrix PL = Pressure Level, PT = 320K θ Level, PV = ± 2 Potential Vorticity Level, SL = Single/Surface Level
2010/2011 Supported Special Projects • NCAR Research Applications Laboratory (RAL) Google African Meningitis Forecast Initiative • Dr. Thomas Hopson • Integrate weather and health data to manage African meningitis outbreaks (in Ghana as starting point). • Looking for 2-week lead time to position vaccines. • Processing ECMWF data from present backwards through the archive for model calibration. • Total Precipitation, 2m Temperature, 2m Dew Point. • Global Subarea 40 deg N to 40 Deg S. • 0.5 x 0.5 degree resolution. • Assist RAL and Unidata in providing “Real-time” access to TIGGE based Multi-Model Ensemble Forecast data. • http://www.ral.ucar.edu/projects/ghana/ • http://www.google.org/predict.html