Global Drought Monitoring Service through the GEOSS Architecture ...

More documents

Recommendations

Info

Architectural Implementation Pilot, Phase 3 Version: 2.0 Global Drought Monitoring and European Drought Observatory-Water SBA Engineering Report Date: 11/Feb/2011 The EuroGEOSS discovery broker component is based on GI-Cat software 51 . 8. Range of Issues Covered by the Water Working Group The AIP-3 Call for Participation originally included Water Quality and Drought (including Agricultural Drought). W. Sonntag and C. Spooner (USA Environmental Protection Agency), V. Guidetti of the European Space Agency (ESA), and J. Lieberman joined to raise water quality issues with regards to an EO2Heaven project to be based in Africa and beach closures in the Gulf of Maine. The CSIRO Tasmanian ICT Centre has developed the Hydrological Sensor Web (HSW) based on OGC-SWE standards. Near real-time hydrologic observations and flow forecasting are published and accessed through the OGC Sensor Observation Service (SOS). Fig. 18(a) shows the generation process of flow forecasting. Firstly, rainfall observations are collected from different sensor sites, owned by different agencies, and stored in databases. The observations are published on the HWS via SOS. A Kepler workflow obtains rainfall observations from SOS and generates the gridded rainfall surface. A forecast model then consumes the gridded rainfall data and produces flow forecasts. Finally, the forecasting results are published onto the HSW through SOS. It can be seen that different agencies are involved in producing flow forecasting results. For this use case, a provenance information model has been developed which is demonstrated in Fig. 18(b). Three sets of ontologies have been adopted, which are the Sensor Ontology, the WaterML2 Ontology and the Process Ontology to describe information/ knowledge in the sensor domain, the water domain and the data processing domain, respectively. Then, the Proof Markup Language (PML) is used to describe the generation processes of information products and link multi-domain ontologies together. This allows tracking the lifecycle of hydrologic data products, as well as record-related factors that may impact on data qualities, e.g., sensor setting, model calibration. 51 http://zeus.pin.uinfi.it/cgi-bin/twiki/view/GIcat Page 64
Architectural Implementation Pilot, Phase 3 Version: 2.0 Global Drought Monitoring and European Drought Observatory-Water SBA Engineering Report Date: 11/Feb/2011 Figure 10 (a) and (b) 9. References Agboma, C.O., S. Z. Yirdaw, & K. R. Snelgrove 2009. Intercomparison of the Total Storage Deficit Index (TSDI) over two Canadian Prairie catchments. Journal of Hydrology, 374, 351 – 359 American Meteorological Society Glossary of Meteorology Anderson, M.C., W. P. Kustas, J.R. Mecikalski, and C. R. Hain, 2009 “A GOES-based drought product using thermal remote sensing of evapotranspiration, 23 rd Conference on Hydrology, Session 2, Drought Prediction, Monitoring, and Mitigation, 17 Jan 2009, American Meteorological Society Anderson, M.C., and W. P. Kustas, “Mapping Evapotranspiration and Drought at Continental and Local Scales with a Thermal-based Surface Energy Balance Model” Page 65
Page 1 and 2:
Global Drought Monitoring Service t
Page 3 and 4:
Architectural Implementation Pilot,
Page 5 and 6:
Page 7 and 8:
Page 9 and 10:
Page 11 and 12:
Page 13 and 14: Architectural Implementation Pilot,
Page 63: Architectural Implementation Pilot,
show all

Global Drought Monitoring Service through the GEOSS Architecture ...

Create successful ePaper yourself

Delete template?

Save as template?