1. The TIGGE Model Validation Portal: An Improvement in Data Interoperability 1 Thomas Cram Doug Schuster Hannah Wilcox Steven Worley National Center for Atmospheric Research Boulder, CO AMS Annual Meeting, New Orleans, 25 Jan 2012

2. THORPEX Interactive Grand Global Ensemble (TIGGE) 2 Mission: Foster and accerlerate 1-day to 2-week high- impact weather forecasts.

3. TIGGE Data Portal user interface 3 tigge.ucar.edu

4. TIGGE Model Validation Portal at NCAR 4 Ensemble Forecast Observations

5. TIGGE Model Validation Portal at NCAR 5 Ensemble Forecast Observations Add value to ensemble forecast research Streamline access to observational data to support model validation Match observations with ensemble forecasts

6. User-side resources Data Access - Common Approach 6 Data User Data Storage Format Conversion Re-gridding Subset Extraction Post Processing Data Storage Format Conversion Re-gridding Subset Extraction Post Processing Forecast Validation

7. TIGGE MVP Data Flow 7 NCAR RDA system processing Data Storage Format Conversion Re-gridding Subset Extraction Data Storage Format Conversion Re-gridding Subset Extraction Validation Data User

8. How It Works 8

9. 9 Submit a request through TIGGE portal Click on checkbox – get matching obs data E-mail notification when data are ready

10. Data Description 10 GeopotentialRel. Humidity TemperatureSpecific Humidity Wind vectors & speedDew Point Mean SLPVapor Mixing Ratio NCEP PREPBUFR Observations (1997 – present) Surface and upper air reports – used for NCEP GDAS

11. Data (cont.) 11 Validation CMORPH Precipitation (coming soon) Precipitation derived from multiple satellites Dec. 2002 – present 0.25 x 0.25 grid 3-hourly

12. 12 Output Format – NetCDF PREPBUFR obs Model Evaluation Tools software NetCDF format o www.dtcenter.org/met/users MET software ingests: o forecast o observations CMORPH CF-1.5 compliant

13. 13 Access to full archives of data TIGGE forecasts: dss.ucar.edu/datasets/ds330.0 PREPBUFR: dss.ucar.edu/datasets/ds337.0 CMORPH: dss.ucar.edu/datasets/ds502.0

14. Summary 14 Integrated access for ensemble forecasts and observations that can be used for validation Compatible with MET software Service brings together diverse datasets (burden taken off researcher) Modular approach – Integrated & stand- alone access More info: tigge.ucar.edu tcram@ucar.edu