Datasets {SPEI}

Data sets for illustrating the functions in the SPEI package.

Description

Data used in the examples of the SPEI package: wichita dataset: monthly climate in Wichita (Kansas, lat=37.6475, elevation=402.6 m. a.s.l.) since January 1980; balance dataset: monthly climatic water balance (precipitation minus potential evapotranspiration) at eleven locations around the World, since January 1900; cabinda: one year of data for computing Penman-Monteith ET0 from Allen et al. (1998); cruts4: 120 years of monthly climatic water balance (precipitation minus reference evapotranspiration) data at six grid points from CRU TS 4.05.

Format

wichita dataset: a data frame with:

YEAR

monthly precipitation totals, in mm.

MONTH

monthly precipitation totals, in mm.

PRCP

monthly precipitation totals, in mm.

TMAX

monthly mean daily maximum temperature, in ºC.

TMIN

monthly mean daily minimum temperature, in ºC.

TMED

monthly mean temperature, in ºC.

AWND

monthly mean wind speed, in km h-1

ACSH

monthly mean sun hours, in h.

ACSH

monthly mean cloud cover, in %.

balance dataset: a data frame with monthly climatic water balance (precipitation minus potential evapotranspiration) at Indore (India), Kimberley (South Africa), Albuquerque (US), Valencia (Spain), Wien (Austria), Abashiri (Japan), Tampa (US), Sao Paulo (Brazil), Lahore (India), Punta Arenas (Chile) and Helsinki (Finland), in mm. cabinda dataset: a data frame with one year of monthly climatic data at Cabinda (Angola, -5.33S 12.11E 20 m), with:

mon

month of the year

Tmin

monthly mean daily minimum temperature, in ºC.

Tmax

monthly mean daily maximum temperature, in ºC.

RH

monthly mean relative humidity, in %.

U2

monthly mean wind speed, in km h-1

tsun

monthly mean sunshine hours, in h.

Rs

monthly mean daily incoming solar radiation, MJ m-2 d-1.

ET0

monthly ET0 from the original publication, in mm.

cruts4 dataset: an array with 120 years of monthly climatic water balance (precipitation minus reference evapotranspiration) data at six grid points from CRU TS 4.05 data set. The array has dimensions [time=1440, longitude=2, latitude=3], with time starting in January 1900. Longitudes are (0.25, 0.75), and latitudes (42.25, 42.75, 43.25), corresponding to the Central Pyrenees between Spain and France.

Details

See description.

Author(s)

Data ported to R by S. Beguería.

Source

The wichita data were obtained from the Global Historical Climatology Network (GHCN, http://www.ncei.noaa.gov/. Data for the balance dataset were extracted from CRU TS V3.1 and from the 20th Century Reanalysis V2 data set. Data for the balance dataset were taken from Allen et al. (1998), page 69, figure 18. The cruts4 data were obtained from the CRU (Climatic Research Unit, University of East Anglia https://crudata.uea.ac.uk/) TS V4.05 data set.

References

S.M. Vicente-Serrano, S. Beguería, J.I. López-Moreno. 2010. A Multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index – SPEI. Journal of Climate 23: 1696, DOI: 10.1175/2009JCLI2909.1.

R.G. Allen, L.S. Pereira, D. Raes, M. Smith. 1998. JCrop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56. FAO, Rome. ISBN 92-5-104219-5.

Examples

data(wichita)
names(wichita)
summary(wichita)
data(balance)
summary(balance)
data(cruts4)
summary(cruts4)