Skip to article frontmatterSkip to article content
Site not loading correctly?

This may be due to an incorrect BASE_URL configuration. See the MyST Documentation for reference.

Understanding Drought Indices

Raw precipitation alone can’t tell us whether conditions are normal or unusually dry. For example, 50 mm of monthly rainfall may be abundant in one region and a deficit in another. Drought indices solve this by comparing current conditions to long‑term climate patterns, allowing us to understand how unusual current moisture conditions are. Why drought indices matter Drought indices help to:

Standardized Precipitation Index (SPI)

The SPI (McKee et al., 1993) is one of the simplest and most widely used drought indicators. What SPI measures SPI represents precipitation anomalies over a chosen timescale, normalized by long‑term climatology. Different accumulation periods highlight different types of drought:

How to interpret SPI values (Based on WMO, 2012)

SPI valueMeaning
> 2.0Extremely wet
1.5–1.99Very wet
1.0–1.49Moderately wet
-0.99–0.99Near normal
-1.0–-1.49Moderately dry
-1.5–-1.99Severely dry
< -2.0Extremely dry

Strengths

Limitations


Standardized Precipitation–Evapotranspiration Index (SPEI)

The SPEI (Vicente‑Serrano et al., 2010) builds on SPI by incorporating temperature effects through evaporative demand. What SPEI measures It’s based on the climatic water balance:

Water balance = Precipitation – Potential Evapotranspiration (PET)

Higher temperatures → higher PET → lower available moisture. SPEI captures this temperature‑driven intensification of drought, which is crucial under warming climates.

Advantages

Limitations