The TIGGE Model Validation Portal: An Improvement in Data Interoperability 1 Thomas Cram Doug Schuster Hannah Wilcox Steven Worley National Center for.

1

The TIGGE Model Validation Portal: An Improvement in Data Interoperability

Thomas CramDoug SchusterHannah WilcoxSteven Worley

National Center for Atmospheric ResearchBoulder, CO

AMS Annual Meeting, New Orleans, 25 Jan 2012

2

THORPEX Interactive Grand Global Ensemble (TIGGE)

Mission: Foster and accerlerate 1-day to 2-week high-impact weather forecasts.

3

TIGGE Data Portal user interface

tigge.ucar.edu

4

TIGGE Model Validation Portal at NCAR

Ensemble Forecast

Observations

5

TIGGE Model Validation Portal at NCAR

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

DataUser

• Data Storage• Format Conversion• Re-gridding• Subset Extraction• Post Processing

Forecast Validation

7

TIGGE MVP Data Flow

NCAR RDA system processing

• Data Storage• Format Conversion• Re-gridding• Subset Extraction Validation

DataUser

8

How It Works

9

How It Works

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

10

Data Description

Geopotential Rel. Humidity

Temperature Specific Humidity

Wind vectors & speed Dew Point

Mean SLP Vapor Mixing Ratio

NCEP PREPBUFR Observations (1997 – present)

• Surface and upper air reports – used for NCEP GDAS

11

Data (cont.)CMORPH Precipitation (coming soon)

• Precipitation derived from multiple satellites• Dec. 2002 – present• 0.25 x 0.25 grid• 3-hourly

12

Output Format – NetCDF

PREPBUFR obs• Model Evaluation Tools software NetCDF format

o www.dtcenter.org/met/users• MET software ingests:

o forecasto observations

CMORPH• CF-1.5 compliant

13

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

14

Summary• 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: [email protected]