Mapping meteorological drought hazard

N/A

Precipitation. Most users apply SPI using monthly datasets, but computer programs have the flexibility to produce results when using daily and weekly values. The methodology of SPI does not change based upon using daily, weekly or monthly data.

eng

Not relevant

Not relevant

Mapping meteorological drought hazard

Data requirements to use: Precipitation. Most users apply SPI using monthly datasets, but computer programs have the flexibility to produce results when using daily and weekly values. The methodology of SPI does not change based upon using daily, weekly or monthly data.;

Data used: Not relevant;

Data format: N/A;

Data access: N/A;

Concise description:

Uses historical precipitation records for any location to develop a probability of precipitation that can be computed at any number of timescales, from 1 month to 48 months or longer. As with other climatic indicators, the time series of data used to calculate SPI does not need to be of a specific length. Guttman (1998, 1999) noted that if additional data are present in a long time series, the results of the probability distribution will be more robust because more samples of extreme wet and extreme dry events are included. SPI can be calculated on as little as 20 years’ worth of data, but ideally the time series should have a minimum of 30 years of data, even when missing data are accounted for

eng

Standardized Precipitation Index (SPI)

ISO 19115:2003/19139

1.0

N/A