Example AgroClimate data from AgERA5

The AgERA5 dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level, the data from 01/01/1982 through 12/31/2022 extracted for a grid located in located in Angochen, Nampula province of Mozambique.

Usage

AgroClimateData

Format

A data frame containing daily observations of AgroClimate parameters:

GridID

Grid id of the location.

Lat

latitude of the site in decimal degrees.

Lon

longitude of the site in decimal degrees.

Elev

elevation above sea level in (meters).

WHC

water holding capacity in (mm).

Year

year of record "YYYY".

Month

month of record "MM".

Day

day of record "DD".

Rain

Precipitation (mm/day).

Tmax

Temperature at 2 Meters Maximum (°C).

Tmin

Temperature at 2 Meters Minimum (°C).

Rs

CAll Sky Surface Shortwave Downward Irradiance (MJ/m^2/day).

Tdew

Dew/Frost Point at 2 Meters (°C).

Uz

Wind Speed at 2 Meters (m/s).

Source

https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-agrometeorological-indicators?tab=overview

References

AgERA5, 2021, Copernicus Climate Change Service (C3S), Fifth generation of ECMWF atmospheric reanalysis of the global climate for agriculture and ago-ecological studies. Copernicus Climate Change Service Climate Data Store (CDS), July-2021.

See also

climateData, calcEto

Examples

# load example data:
data(AgroClimateData)

# Get the structure of the data frame:
str(AgroClimateData)
#> 'data.frame':	14975 obs. of  14 variables:
#>  $ GridID: chr  "MOZ0007149" "MOZ0007149" "MOZ0007149" "MOZ0007149" ...
#>  $ Lat   : num  -15.1 -15.1 -15.1 -15.1 -15.1 ...
#>  $ Lon   : num  39.3 39.3 39.3 39.3 39.3 ...
#>  $ Elev  : num  392 392 392 392 392 ...
#>  $ WHC   : num  97.8 97.8 97.8 97.8 97.8 ...
#>  $ Year  : num  1982 1982 1982 1982 1982 ...
#>  $ Month : num  1 1 1 1 1 1 1 1 1 1 ...
#>  $ Day   : num  1 2 3 4 5 6 7 8 9 10 ...
#>  $ Rain  : num  0 0 0 1.91 0 ...
#>  $ Tmax  : num  32.2 33.1 33.5 32.8 32.7 ...
#>  $ Tmin  : num  23.1 23.1 23.1 23.6 22.8 ...
#>  $ Rs    : num  23.9 26.4 25 24.2 23.4 ...
#>  $ Tdew  : num  20.2 20.5 20.5 20.8 21.4 ...
#>  $ Uz    : num  4.72 4.28 3.62 2.54 1.48 ...

# Get the head of the data frame:
head(AgroClimateData)
#>       GridID       Lat     Lon     Elev      WHC Year Month Day     Rain
#> 1 MOZ0007149 -15.09238 39.2519 392.1337 97.84914 1982     1   1 0.000000
#> 2 MOZ0007149 -15.09238 39.2519 392.1337 97.84914 1982     1   2 0.000000
#> 3 MOZ0007149 -15.09238 39.2519 392.1337 97.84914 1982     1   3 0.000000
#> 4 MOZ0007149 -15.09238 39.2519 392.1337 97.84914 1982     1   4 1.907393
#> 5 MOZ0007149 -15.09238 39.2519 392.1337 97.84914 1982     1   5 0.000000
#> 6 MOZ0007149 -15.09238 39.2519 392.1337 97.84914 1982     1   6 0.000000
#>       Tmax     Tmin       Rs     Tdew       Uz
#> 1 32.24396 23.11500 23.86698 20.21160 4.723783
#> 2 33.07202 23.12585 26.38375 20.48284 4.279407
#> 3 33.49679 23.12602 25.00704 20.45689 3.622179
#> 4 32.76818 23.60351 24.16475 20.83896 2.535047
#> 5 32.65872 22.79294 23.44483 21.36882 1.477617
#> 6 31.80630 22.43975 21.99277 21.29297 1.953415