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Global Drought Monitoring Service through the GEOSS Architecture ...

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Architectural Implementation Pilot, Phase 3 Version: 2.0<br />

<strong>Global</strong> <strong>Drought</strong> <strong>Monitoring</strong> and European <strong>Drought</strong><br />

Observatory-Water SBA Engineering Report<br />

Date: 11/Feb/2011<br />

Figure 1 LISFLOOD forecasted normalized top soil moisture suction (pF) for Europe. The pF<br />

values have been normalized by ECMWF ERA-40 statistics.<br />

2.1.3 EDO-deployed Meteorological <strong>Drought</strong> Indicator: Standardized<br />

Precipitation Index<br />

Precipitation anomalies are expressed <strong>the</strong> monthly Standardized Precipitation Index (SPI)<br />

of <strong>the</strong> last month, a well-known meteorological drought index. Monthly SPI values reflect short<br />

term changes in precipitation as compared to <strong>the</strong> long-term average of <strong>the</strong> respective month.<br />

Positive SPI values indicate greater than median precipitation, and negative values indicate less<br />

than median precipitation (McKee et al. 1993).<br />

2.1.4 Hydrologic <strong>Drought</strong> Indicator<br />

A hydrological drought is described usually by <strong>the</strong> analysis of stream-flow, lake, or<br />

reservoir level data. Opposite to meteorological information, hydrological data are collected<br />

<strong>through</strong>out Europe, but are generally stored locally at <strong>the</strong> national or even regional level, often<br />

with varying formats and qualities less consistent than for meteorological data. Here, after<br />

careful calibration, <strong>the</strong> hydrological model LISFLOOD might contribute to <strong>the</strong> forecasting of<br />

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