Standardised Precipitation Evapotranspiration Index Explained

The Standardized Precipitation Evapotranspiration Index (SPEI) is a multiscalar drought index based on climatic data. It was developed by Vicente-Serrano et al. (2010) at the Institute Pirenaico de Ecologia in Zaragoza, Spain. It can be used for determining the onset, duration and magnitude of drought conditions with respect to normal conditions in a variety of natural and managed systems such as crops, ecosystems, rivers, water resources, etc.[1]

The SPEI accounts not only for precipitation deficit but also for the role of the increased atmospheric evaporative demand on drought severity.[2] Evaporative demand is particularly dominant during periods of precipitation deficit. The SPEI calculation requires long-term and high-quality precipitation and atmospheric evaporative demand datasets. These can be obtained from ground stations or gridded data based on reanalysis as well as satellite and multi-source datasets.

Datasets

Globally, the SPEIbase and Global Precipitation Climatology Centre (GPCC) drought index datasets are available at a relatively coarse spatial resolution. The SPEIbase is available at 0.5° resolution calculated from the Climatic Research Unit precipitation and potential evapotranspiration datasets. The GPCC drought index provides SPEI datasets at a 1.0° spatial resolution for limited timescales (1, 3, 6, 9, 12, 24, and 48 months).

Inputs to SPEI datasets can include high-resolution potential evapotranspiration (PET) from the Global Land Evaporation Amsterdam Model (GLEAM) and hourly Potential Evapotranspiration (hPET). GLEAM is a set of algorithms designed to calculate actual evaporation, PET, evaporative stress, and root-zone soil moisture.

Classification

SPEI Classification!Value!classification
2.0 or moreExtremely Wet
1.5 to 1.99Very Wet
1.0 to 1.49Moderate Wet
-0.99 to 0.99Normal
-1.0 to -1.49Moderate Dry
-1.5 to -1.99Very Dry
-2.0 or lessExtremely Dry

See also

External links

Notes and References

  1. Vicente-Serrano S.M. . Santiago Beguería . Juan I. López-Moreno . 2010 . A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index . Journal of Climate. 23. 7. 1696–1718. 10.1175/2009JCLI2909.1. 2010JCli...23.1696V . 3826822 . free .
  2. Gebrechorkos . Solomon H. . Peng . Jian . Dyer . Ellen . Miralles . Diego G. . Vicente-Serrano . Sergio M. . Funk . Chris . Beck . Hylke E. . Asfaw . Dagmawi T. . Singer . Michael B. . Dadson . Simon J. . 2023 . Global high-resolution drought indices for 1981–2022 . Earth System Science Data . en . 15 . 12 . 5449–5466 . 10.5194/essd-15-5449-2023 . 1866-3516 . free. 2023ESSD...15.5449G . 10754/693396 . free . Text was copied from this source, which is available under a Creative Commons Attribution 4.0 International License