1. TIGGE-LAM archive development in the frame of GEOWOW Richard Mladek, Manuel Fuentes (ECMWF)

2. Exeter 25-27 March 2014UERRA 1st General Assembly The group on Earth Observations (GEO) initiated the Global Earth Observation System of Systems (GEOSS) GEOWOW, short for “GEOSS interoperability for Weather, Ocean and Water” supports this objective GEOWOW’s main challenge is to improve Earth observation data discovery, accessibility and exploitability, and to evolve GEOSS in terms of interoperability, standardization and functionality GEOWOW is an EU-funded FP7 (09/2011 – 08/2014) Predecessors GENESI-DEC, EuroGEOSS

3. Exeter 25-27 March 2014UERRA 1st General Assembly Weather, Ocean, Water SBAs

4. Exeter 25-27 March 2014UERRA 1st General Assembly WP4 (Weather SBA) 1.Enhancement of the TIGGE archive at ECMWF (register data in GCI; adding LAM-EPS outputs; creating time-series archive) 2.TIGGE data quality (bias, calibration, combination) 3.Develop and demonstrate EPS-based forecast products for high- impact weather events – tropical cyclones, heavy rainfall, extra-tropical cyclones – WMO Severe Weather Forecast Demonstration Project – where feasible multidisciplinary use across different GEO Societal Benefit Areas – education and training

5. Exeter 25-27 March 2014UERRA 1st General Assembly TIGGE archive

6. Exeter 25-27 March 2014UERRA 1st General Assembly TIGGE archive Features: All data are archived at native resolution (on native grid when possible) Data are interpolated on any limited-area lat-lon grid defined by the user just before download Field names, definitions, units, accumulation times, etc… are fully standardized Data gaps are continuously monitored and every effort is made to repair them quickly All data provided in GRIB2 NCAR EPS 1EPS 2EPS n academicNHMSusers Predictability science Applications ECMWFCMA

7. TIGGE-LAM archive Exeter 25-27 March 2014UERRA 1st General Assembly 10 European data providers confirmed (MOGREPS, COSMO-LEPS, ALADIN-LAEF, DMI–HIRLAM, GLAMEPS, COSMO-DE-EPS, PEARP, AEMET-SREPS, SRNWP-PEPS, HUNEPS) Archive specification: – Data format: WMO-GRIB2 – Time step frequency: 3h – Grid: original model grid – Parameters: mostly so called High Priority (HP) sfc parameters – Model runs: up-to 4 main available (00, 06, 12, 18UTC) – Forecast types: perturbed and control (if available)

8. List of archived parameters Instant fields 10m U-velocity, 10m V-velocity, CAPE (not HP), CIN (not HP), MSLP, 2mT, 2m dewpointT Accumulated fields total and large scale precipitation, 10 metre wind gust (in the last 3 hours) Static fields Orography, LSM TIGGE-LAM archive Exeter 25-27 March 2014UERRA 1st General Assembly

9. TIGGE-LAM archive Exeter 25-27 March 2014UERRA 1st General Assembly

10. Data provider progress status information TIGGE-LAM archive Exeter 25-27 March 2014UERRA 1st General Assembly

11. TIGGE-LAM archive Exeter 25-27 March 2014UERRA 1st General Assembly COSMO-LEPS by ARPA-SIMC (on behalf of COSMO), GREEN ALADIN-LAEF by ZAMG, BEIGE COSMO-DE-EPS by DWD, CYAN MOGREPS by UK Met Office PURPLE HUNEPS by Hungarian Met Office, YELLOW

12. TIGGE-LAM archive http://apps.ecmwf.int/datasets/data/tigge_lam/ Exeter 25-27 March 2014UERRA 1st General Assembly

13. TIGGE-LAM archive http://tigge.ecmwf.int/tigge/d/inspect/tigge/tigge/monitoring/lam/prod Exeter 25-27 March 2014UERRA 1st General Assembly

14. TIGGE-LAM archive http://tigge.ecmwf.int/tigge/d/tigge_lam_history Exeter 25-27 March 2014UERRA 1st General Assembly

15. Lessons learnt.. There can be a long way from the first data sample to the production archiving Good support web site with clear instructions and progress information helps coordinating archiving Partners should provide the data as closest to the final format as possible Output data quality control in many forecast systems is not often fully implemented so even simple data value ranges checking can discover interesting things Careful and thorough input data testing done together with data proprovider is important before archiving in MARS TIGGE-LAM archive Exeter 25-27 March 2014UERRA 1st General Assembly

16. Challenges in UERRA Re-Analysis data: observations and fields – Define the dataset(s) to be archived Ensembles of Data Assimilations – May need proposal for standard GRIB templates Sample data needed as soon as available to prepare for timely ingestion in the UERRA archive Do we need to archive an experimental version before we consolidate into the final dataset ? Technical contact point from each data provider Exeter 25-27 March 2014UERRA 1st General Assembly

17. Exeter 25-27 March 2014UERRA 1st General Assembly Links ECMWF Data portal http://apps.ecmwf.int/datasets/ https://software.ecmwf.int/wiki/display/WEBAPI/Accessing+ECMW F+data+servers+in+batch https://software.ecmwf.int/wiki/display/WEBAPI/Accessing+ECMW F+data+servers+in+batch General information http://www.geowow.eu http://tigge.ecmwf.int https://software.ecmwf.int/wiki/display/TIGGE/TIGGE-LAM Geo portal (GCI interface) http://www.geoportal.org/web/guest/geo_home