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TIGGE data via OPeNDAP Jennifer M. Adams and Brian Doty IGES/COLA.

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Presentation on theme: "TIGGE data via OPeNDAP Jennifer M. Adams and Brian Doty IGES/COLA."— Presentation transcript:

1 TIGGE data via OPeNDAP Jennifer M. Adams and Brian Doty IGES/COLA

2 What is GrADS? GrADS is an interactive tool that integrates data access, analysis, and visualization Handles many data formats: Binary, NetCDF, HDF, GRIB, BUFR Two data models for gridded and in situ data Expression handling is flexible, compact, recursive Programmable interface for scripting Written in C; code is open source (GPL) Active users forum with 1800+ subscribers

3 GOES VIS Image with Radar, 500mb Heights, and SLP 18z 4 June 2009

4 Analysis of Surface METAR Observations with Radar 18z 29 May 2009

5 QuikSCAT Winds (HDF), Surface Obs (BUFR), and ETA Model SLP (GRIB) Another Example of GrADS Graphics Output 00z 6 Dec 2003

6 What is the GrADS Data Server? GDS is a stable, secure, OPeNDAP data server that provides subsetting and server-side analysis services over the internet GDS can serve any GrADS-readable dataset, and unifies all data formats into a NetCDF framework Open a data set with http://server/filename instead of /disk/filename

7 News from GrADS/GDS Team GrADS has a 5th grid dimension for ensembles set X, Y, Z, T, or E set lon, lat, lev, time, or ens GrADS has an interface for HDF5 and GRIB2 GDS can serve any GrADS data set GrADS is a client for any OPeNDAP data set GrADS supports GIS-compatible formats GeoTIFF, KML, and ESRI Shapefiles

8 GrADS Plot in Google Earth

9 Palmer Drought Severity Index July 2009

10 Ensemble Forecast Time Series (Longitude, Latitude, and Level are fixed) Forecast Time --->

11 Ensemble Forecast Grid (Longitude, Latitude, and Level are fixed) Forecast Time ---> Ensemble Member

12 Ten Ensemble Forecasts (Longitude, Latitude, and Level are fixed) Forecast Time ---> Ensemble Member

13 Ensemble Forecast Time Series (Longitude, Latitude, and Level are fixed) Forecast Time --->

14 Ensemble Mean = tloop(ave(Z,e=1,e=21)) Ensemble Min/Max = tloop(min(Z,ens=c00,ens=p20)) +/- StdDev of Ensemble Mean = tloop(sqrt(ave(pow(Z-Zave,2),e=1,e=21))) Forecast Time --->

15 File aggregation Format translation Subset over all dimensions Server-side analysis Data become more usable and accessible Ensemble Data Sets Behind GDS

16 + Perfect testbed for ensemble handling and GRIB2 interface + Boost to usage of TIGGE data + Forecasts organized by date and by provider + Time series of analyses - Nearly unbearable load on old hardware - 48-hour data embargo - Intl agreement requires password protection TIGGE Data Behind GDS at NCAR

17 TIGGE Multi-Member Multi-Model Ensemble 500mb Geopotential Height valid August 30, 2008 7-day Lead 3-day Lead 5-day Lead 1-day Lead

18 2008 Indian Monsoon Comparison of surface observations, TRMM satellite estimates, and TIGGE forecasts TRMM EstimateStation ObservationsECMWF 1.5-day ForecastNCEP 1.5-day Forecast All-India Precipitation (mm/day)

19 TIGGE Forecasts of Hurricane Ike in the Gulf of Mexico, September 2008 00z 8 Sep 12z 8 Sep 00z 9 Sep 12z 9 Sep

20 TIGGE Forecasts of Hurricane Ike valid: 12z 9 Sep - 00z 13 Sep 2008 Init: 00z 8 Sep Init: 12z 8 Sep Init: 00z 9 Sep Init: 12z 9 Sep

21 TIGGE GDS http://cdp.ucar.edu:9090 Jennifer Miletta Adams jma@iges.org


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