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Agricultural Drought Indices - US Department of Agriculture

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efers to deficiencies in surface and subsurface water supplies, leading to lack <strong>of</strong> water for meeting<br />

normal and specific water demands. <strong>Agricultural</strong> drought is a deficiency in water availability for<br />

specific agricultural needs, such as a deficiency in soil moisture, which is one <strong>of</strong> the most critical<br />

factors in defining crop production potential.<br />

Standardized Precipitation Index (SPI)<br />

<strong>Drought</strong> indices assimilate thousands <strong>of</strong> bits <strong>of</strong> data on rainfall, streamflow, and other water supply<br />

indicators into a comprehensible “big picture.” A drought index value is typically a single number,<br />

far more useful than raw data for decision making. Several indices measure how precipitation for a<br />

given period <strong>of</strong> time has deviated from historically established norms.<br />

The Standardized Precipitation Index (SPI) is an index based on the probability <strong>of</strong> precipitation for<br />

any time scale. It can be computed for different time scales to provide early warning <strong>of</strong> drought<br />

and help assess drought severity in any given locality. The SPI is designed to quantify the<br />

precipitation deficit for multiple time scales. These time scales reflect the impact <strong>of</strong> drought on the<br />

availability <strong>of</strong> the different water resources. Soil moisture conditions respond to precipitation<br />

anomalies on a relatively short scale. Groundwater, streamflow, and reservoir storage reflect the<br />

longer-term precipitation anomalies. McKee et al. (1993) originally calculated the SPI for 3-, 6-,<br />

12-, 24-, and 48-month time scales.<br />

The SPI calculation for the various agro-ecological zones in the GHA sub-region is based on the<br />

long-term precipitation record <strong>of</strong> more than thirty years. This long-term record is fitted to a<br />

probability distribution, which is then transformed into a normal distribution so that the mean SPI<br />

for the zone and desired period is zero (Edwards and McKee 1997). Positive SPI values indicate<br />

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

Because the SPI is normalized, wetter and drier climates can be represented in the same way, and<br />

wet periods can also be monitored using the SPI. The spatial patterns <strong>of</strong> the observed rainfall and<br />

rainfall stress severity index on 10-day, monthly, and seasonal timescales are used in monitoring<br />

drought (Figure 3).<br />

(a) Rainfall distribution<br />

(b) <strong>Drought</strong> severity index<br />

Figure 3. Map showing (a) distribution <strong>of</strong> rainfall and (b) calculated drought severity index for<br />

February 2010.<br />

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