TIGGE data via OPe NDAP Jennifer M Adams

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

What is Gr. ADS? • Gr. ADS is an interactive tool that integrates data access, analysis, and visualization • Handles many data formats: Binary, Net. CDF, 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

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

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

Another Example of Gr. ADS Graphics Output Quik. SCAT Winds (HDF), Surface Obs (BUFR), and ETA Model SLP (GRIB) 00 z 6 Dec 2003

What is the Gr. ADS Data Server? • GDS is a stable, secure, OPe. NDAP data server that provides subsetting and server-side analysis services over the internet • GDS can serve any Gr. ADS-readable dataset, and unifies all data formats into a Net. CDF framework • Open a data set with http: //server/filename instead of /disk/filename

News from Gr. ADS/GDS Team ü Gr. ADS has a 5 th grid dimension for ensembles set X, Y, Z, T, or E set lon, lat, lev, time, or ens ü Gr. ADS has an interface for HDF 5 and GRIB 2 ü GDS can serve any Gr. ADS data set ü Gr. ADS is a client for any OPe. NDAP data set ü Gr. ADS supports GIS-compatible formats Geo. TIFF, KML, and ESRI Shapefiles

Gr. ADS Plot in Google Earth

Palmer Drought Severity Index July 2009

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

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

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

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

Ensemble Mean = tloop(ave(Z, e=1, e=21)) Ensemble Min/Max = tloop(min(Z, ens=c 00, ens=p 20)) +/- Std. Dev of Ensemble Mean = tloop(sqrt(ave(pow(Z-Zave, 2), e=1, e=21))) Forecast Time --->

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

TIGGE Data Behind GDS at NCAR + Perfect testbed for ensemble handling and GRIB 2 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 - Int’l agreement requires password protection

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

2008 Indian Monsoon Comparison of surface observations, TRMM satellite estimates, and TIGGE forecasts Station Observations TRMM Estimate ECMWF 1. 5 -day Forecast All-India Precipitation (mm/day) NCEP 1. 5 -day Forecast

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

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

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