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Spatial data on several climate variables, extracted from Climatology Lab’s TerraClimate. The table below shows all possible variables to be extracted, which are chosen through the “dataset” parameter. Data ranges from 1958 to 2020.
Netcdf files are downloaded from the THREDDS web server, as recommended for rectangular subsets of the global data.
| Dataset | Code | Description | Units |
|---|---|---|---|
| max_temperature | tmax | Maximum 2-m Temperature | degC |
| min_temperature | tmin | Minimum 2-m Temperature | degC |
| wind_speed | ws | Wind Speed at 10-m | m/s |
| vapor_pressure_deficit | vpd | Vapor Pressure Deficit | kPa |
| vapor_pressure | vap | 2-m Vapor Pressure | kPa |
| snow_water_equivalent | swe | Snow Water Equivalent at End of Month | mm |
| shortwave_radiation_flux | srad | Downward Shortwave Radiation Flux at the Surface | W/m^2 |
| soil_moisture | soil | Soil Moisture at End of Month | mm |
| runoff | q | Runoff | mm |
| precipitation | ppt | Accumulated Precipitation | mm |
| potential_evaporation | pet | Reference Evapotranspiration | mm |
| climatic_water_deficit | def | Climatic Water Deficit | mm |
| water_evaporation | aet | Actual Evapotranspiration | mm |
| palmer_drought_severity_index | PDSI | Palmer Drought Severity Index | unitless |
Options:
dataset: picks the variable to be read. Possible options are shown in the table above.
raw_data: there are two options:
TRUE: if you want the data as it is originally.FALSE: if you want the treated version of the
data.time_period: picks the years for which the data will be downloaded
language: you can choose between Portuguese
("pt") and English ("eng")
legal_amazon_only: if set to TRUE,
only downloads data from the Legal Amazon region
OBS: A good internet connection is needed, because the data is heavy.
Examples:
# Downloading maximum temperature data from 2000 to 2001
max_temp <- load_climate(dataset = "max_temperature", time_period = 2000:2001)
# Downloading precipitation data only for the legal Amazon in 2010
amz_precipitation <- load_climate(
dataset = "precipitation",
time_period = 2010,
legal_amazon_only = TRUE
)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.