get_terra | R Documentation |
Extracts variables needed for microclimate modelling from the monthly TerraClimate database described in "Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Scientific Data, 5(1), 170191. https://doi.org/10.1038/sdata.2017.191" This dataset includes climate change scenarios for +2 and +4 deg C warming (via parameter 'scenario') Michael Kearney Feb 2022
get_terra(
scenario = 0,
x = c(-5.3, 50.13),
ystart = 1985,
yfinish = 2015,
source =
"http://thredds.northwestknowledge.net:8080/thredds/dodsC/TERRACLIMATE_ALL/data"
)
scenario |
= 0, climate scenario, either 0 (historical), 2 (plus 2 deg C) or 4 (plus 4 deg C) |
x |
= c(-5.3, 50.13), location expressed as longitude, latitude, decimal degrees |
ystart |
= start year (min is 1958 for historical, 1985 for climate change) |
yfinish |
= finish year (max is 'last year' for historical, 2015 for climate change) |
source |
= "http://thredds.northwestknowledge.net:8080/thredds/dodsC/TERRACLIMATE_ALL/data", location where data is stored - defaults to opendap web location but can be retrieved locally if desired |
TMINN, minimum daily 2m air temperature, deg C
TMAXX, maximum daily 2m air temperature, deg C
RAINFALL, daily total precipitation, mm
VPD, daily vapour pressure deficit, kPa
SRAD, daily solar radiation, W/m2
SoilMoist, volumetric soil moisture, m3/m3
WIND, daily 10m wind speed, m/s
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