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Agricultural Drought Indices - US Department of Agriculture

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Figure 3. Daily gridded SPI by region with county overlay for the High Plains region <strong>of</strong> the United<br />

States.<br />

There are different ways to render this type <strong>of</strong> index. Commonly, a modeled approach is used. In<br />

the case <strong>of</strong> the indicators explained below, we look at a percentile ranking approach as the<br />

backbone <strong>of</strong> our composite efforts in the United States. The method is completely transferable<br />

and can be easily modified to fit those indicators and indices that are readily available around the<br />

world.<br />

The U.S. and North American <strong>Drought</strong> Monitors<br />

To build as comprehensive and flexible a drought early warning system (DEWS) as possible, it is<br />

important to monitor drought across the many sectors mentioned earlier. A single index will rarely<br />

work for all places at all times and for all types <strong>of</strong> droughts. Most coordinated monitoring efforts at<br />

the national level are going to need to track all types <strong>of</strong> droughts. In cases such as these, it is<br />

important to utilize and incorporate a consolidation <strong>of</strong> indices and indicators into one<br />

comprehensive “composite indicator.” A composite (hybrid) indicator approach allows for the most<br />

robust way <strong>of</strong> detecting and determining the magnitude (duration + intensity) <strong>of</strong> droughts as they<br />

occur. Through a convergence-<strong>of</strong>-evidence approach, one can best determine (for a particular<br />

state, province, country, or region for a particular time <strong>of</strong> the year) which indices and indicators do<br />

the best job <strong>of</strong> depicting and tracking various types <strong>of</strong> droughts. The users can then determine<br />

which indicators to use and how much weight to give each indicator/index in a “blended approach”<br />

that incorporates a multiple parameter and weighting scheme. Such approaches have been used<br />

in the U.S. <strong>Drought</strong> Monitor (<strong>US</strong>DM) and North American <strong>Drought</strong> Monitor (NADM) as described<br />

below and as part <strong>of</strong> a series <strong>of</strong> Objective <strong>Drought</strong> Indicator Blend (OBDI) products, which are<br />

produced weekly for integration into the <strong>US</strong>DM process. It is, in fact, the process <strong>of</strong> the <strong>US</strong>DM that<br />

makes it work, the collaborative nature and integration <strong>of</strong> the latest indicators coupled with expert<br />

field input from experts around the country.<br />

The U.S. <strong>Drought</strong> Monitor (<strong>US</strong>DM): Created in 1999, the weekly U.S. <strong>Drought</strong> Monitor (<strong>US</strong>DM)<br />

(Figure 4) was one <strong>of</strong> the first, if not the first, to use a composite indicator approach (Svoboda et al.<br />

2002). The <strong>US</strong>DM is not a forecast, but rather an assessment, or snapshot, <strong>of</strong> current drought<br />

conditions. The product is not an index in and <strong>of</strong> itself, but rather a combination <strong>of</strong> indicators and<br />

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