datasets: Datasets for illustrating the functions in the SPEI package.

Description Usage Format Author(s) Source References Examples

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).

Usage

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Format

wichita dataset:

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 <c2><ba>C.

TMIN

monthly mean daily minimum temperature, in <c2><ba>C.

TMED

monthly mean temperature, in <c2><ba>C.

AWND

monthly mean wind speed, in km h-1

ACSH

monthly mean sun hours, in h.

ACSH

monthly mean cloud cover, in %.

balance dataset: 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 (Brasil), Lahore (India), Punta Arenas (Chile) and Helsinki (Finland), in mm.

cabinda dataset: one year of monthly climatic data at Cabinda (Angola, -5.33S 12.11E 20 m), taken from Allen et al. (1998), page 69, figure 18:

mon

month of the year

Tmin

monthly mean daily minimum temperature, in <c2><ba>C.

Tmax

monthly mean daily maximum temperature, in <c2><ba>C.

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 dialy incoming solar radiation, MJ m-2 d-1.

ET0

monthly ET0 from the original publication, in mm.

Author(s)

Data ported to R by S. Beguer<c3><ad>a.

Source

The wichita data were obtained from the Global Historical Climatology Network (GHCN, https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets/global-historical-climatology-network-ghcn. Data for the balance dataset were extracted from CRU TS V3.1 and from the 20th Century Reanalysis V2 dataset. Data for the balance dataset were taken from Allen et al. (1998), page 69, figure 18.

References

S.M. Vicente-Serrano, S. Beguer<c3><ad>a, J.I. L<c3><b3>pez-Moreno. 2010. A Multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index <e2><80><93> 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

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Example output

Loading required package: lmomco
Loading required package: parallel
Loading required package: ggplot2
# Package SPEI (1.7) loaded [try SPEINews()].
[1] "YEAR"  "MONTH" "PRCP"  "TMAX"  "TMIN"  "TMED"  "AWND"  "TSUN"  "ACSH" 
      YEAR          MONTH             PRCP             TMAX      
 Min.   :1980   Min.   : 1.000   Min.   :  0.00   Min.   :-4.45  
 1st Qu.:1987   1st Qu.: 3.250   1st Qu.: 24.00   1st Qu.:11.09  
 Median :1995   Median : 6.000   Median : 51.10   Median :20.70  
 Mean   :1995   Mean   : 6.474   Mean   : 67.74   Mean   :20.10  
 3rd Qu.:2003   3rd Qu.: 9.000   3rd Qu.: 97.03   3rd Qu.:29.12  
 Max.   :2011   Max.   :12.000   Max.   :333.80   Max.   :40.48  
                                                                 
      TMIN               TMED            AWND             TSUN       
 Min.   :-12.9600   Min.   :-8.71   Min.   : 3.490   Min.   : 3.210  
 1st Qu.: -0.9325   1st Qu.: 5.09   1st Qu.: 4.650   1st Qu.: 6.475  
 Median :  7.7950   Median :14.52   Median : 5.170   Median : 8.340  
 Mean   :  7.8089   Mean   :13.96   Mean   : 5.218   Mean   : 8.404  
 3rd Qu.: 16.7600   3rd Qu.:23.16   3rd Qu.: 5.660   3rd Qu.:10.200  
 Max.   : 24.5400   Max.   :32.46   Max.   :18.220   Max.   :21.140  
                                    NA's   :51       NA's   :36      
      ACSH      
 Min.   :23.23  
 1st Qu.:45.70  
 Median :55.84  
 Mean   :54.54  
 3rd Qu.:62.59  
 Max.   :80.97  
 NA's   :228    
     indore          kimberley        albuquerque         valencia      
 Min.   :-355.70   Min.   :-188.10   Min.   :-138.11   Min.   :-141.99  
 1st Qu.:-125.12   1st Qu.: -83.36   1st Qu.: -64.22   1st Qu.: -58.73  
 Median : -56.05   Median : -47.83   Median : -27.38   Median : -24.91  
 Mean   : -50.57   Mean   : -53.70   Mean   : -34.53   Mean   : -21.30  
 3rd Qu.: -11.07   3rd Qu.: -24.63   3rd Qu.:  -2.56   3rd Qu.:   4.68  
 Max.   : 667.03   Max.   : 197.58   Max.   : 105.45   Max.   : 300.52  
     viena           abashiri          tampa            sao_paulo      
 Min.   :-89.14   Min.   :-91.56   Min.   :-161.450   Min.   :-109.69  
 1st Qu.:-10.73   1st Qu.: 11.03   1st Qu.: -46.070   1st Qu.: -26.36  
 Median : 16.45   Median : 33.02   Median :  -6.580   Median :  15.26  
 Mean   : 17.30   Mean   : 36.00   Mean   :   3.824   Mean   :  33.28  
 3rd Qu.: 41.37   3rd Qu.: 58.70   3rd Qu.:  42.915   3rd Qu.:  79.30  
 Max.   :178.08   Max.   :276.00   Max.   : 358.970   Max.   : 426.63  
     lahore         punta_arenas         helsinki      
 Min.   :-456.54   Min.   :-102.560   Min.   :-76.410  
 1st Qu.:-179.15   1st Qu.: -51.638   1st Qu.:  2.717  
 Median : -77.59   Median : -26.730   Median : 26.310  
 Mean   :-100.40   Mean   : -24.553   Mean   : 26.812  
 3rd Qu.: -14.47   3rd Qu.:  -2.257   3rd Qu.: 50.865  
 Max.   : 352.27   Max.   : 145.460   Max.   :194.700  

SPEI documentation built on May 2, 2019, 11:05 a.m.