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Operational information

Operational information. FAO RFE for Sudan FAO & Sudan Meteorology Authority Mauro Evangelisti &Stefano Alessandrini (FAO Consultant). What is FAO-RFE?.

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Operational information

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  1. Operational information FAO RFE for Sudan FAO & Sudan Meteorology Authority Mauro Evangelisti &Stefano Alessandrini (FAO Consultant)

  2. What is FAO-RFE? • FAO-RFE is a system that collects, stores, processes several basic data to estimate the rainfall over an area with limited ground information • FAO-RFE uses the available ground information for the day-based local calibration

  3. RFE-NOAA ECMWF Residuals for NDVI computed as a function of (a) RFE and (b) ECMWF. The residuals can be interpreted directly as rainfall over- or underestimations. Areas with less than 200 mm of average annual rainfall and water bodies have been masked out (in white). O. Rojas, F. Rembold, J. Delincé & O. Léo (2011): Using the NDVI as auxiliary data for rapid quality assessment of rainfall estimates in Africa, International Journal of Remote Sensing, 32:12, 3249-3265

  4. FAO-RFE general scheme Infrared meteosat data ~ 3 km resolution ECMWF rainfall data ~ 25 km resolution MPE (Eumetsat) Infrared and Microwave Estimation 3km resolution Humidity and precipitable water profiles from ECMWF Interpolation GOES Index Daily Rainfall field 3 km resolution Daily Rainfall field 3 km resolution Daily Rainfall field 3 km resolution Weighted linear combination Validated Rainfall data GTS (gauges) Rainfall data Weights determination Preliminary Combined Rainfall field 3 km resolution Local Calibration Final Merged Rainfall field 3 km resolution

  5. FAO-RFE products 2010 1 day RFE 2007 Climatology 10D RFE Real Time Estimate Reference Maps Monthly RFE 36 dekads 12 months

  6. FAO-RFE versions • FAO-RFE is available at two levels: • continental • country-based(e.g. Sudan)

  7. FAO-RFE customization Customization works at several levels: • input data • forecast model • 00Z or 06Z based • algorithms • already existing work flow • output formats • user interface

  8. Difference between FAO RFE (continental product) and FAO RFE at country level • At the country level GTS measurements can be used together with local data • So, at the country level both the global calibration and the local calibration are performed only with specific measurements over a territory with a limited extension. • At the continental level the calibration processes are performed over a larger area, including stations far from the country and this can result in a loss of reliability for a specific country • At the country level all the power has been given to the measurements and the RFE daily estimate is forced to be equal to the measurements at the gauges locations • At the continental level we have less control about the quality of the measurements therefore some rainfall data are rejected (if is to much different from the RFE estimate) and the local calibration forces less strongly the RFE estimate towards the measured data

  9. Case study SUDAN:16 Aug 2007 Local Calibration Station

  10. FAO-RFE user interface - Time Aggregation Selector - Reference Maps Viewer - Zoom facilities - Point and Click query - Regular (lat,lon) grids output at different resolutions in GeoTiff and Idrisi Raster

  11. FAO RFE (SUDAN version) 10 days 21-30/06/2011 FAO RFE (continental) 10 days 21-30/06/2011 The estimate done at National level using more station data leads to a lower rainfall values in general over Sudan territory The effect is more evident on a 10 days period

  12. FAO RFE (continental) Monthly 06/2011 FAO RFE (SUDAN version) Monthly 06/2011 The estimate done at National level using more station data lead to a lower rainfall values in general over Sudan territory

  13. Advantage of FAO-RFE • The main advantage will be for the country that will be able to do/manage his own rainfall estimates • incentive of improvement of network stations • The country will has the possibility to improve it when more meteorological stations will be available • The accuracy should be high when compare with the methodological approaches that only considerer the GTS stations.

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