get_fldas | R Documentation |
A function that extract a time series of climate variables (1982-01-01T00:00:00Z–2022-04-01T00:00:00).
get_fldas(from, to, by, band, region, fun = "mean", scale = 1000)
to , from |
it's a string object,starting and final date. |
by |
two types of increment of the sequence by month and year. |
band |
name of band. |
region |
is a feature or feature collection. |
fun |
function for extract statistic zonal (count, kurtosis, max, mean, median, min, mode, percentile, std, sum, variance, first). |
scale |
A nominal scale in meters of the projection to work in. |
Name of some bands.
Evap_tavg (kg m-2 s-1): Evapotranspiration.
LWdown_f_tavg (W m-2): Downward longwave radiation flux .
Lwnet_tavg (W m-2): Net longwave radiation flux.
Psurf_f_tavg (Pa): Surface pressure.
Qair_f_tavg (kg kg-1): Specific humidity.
Qg_tavg (W m-2): Soil heat flux.
Qh_tavg (W m-2): Sensible heat net flux.
Qle_tavg (W m-2): Latent heat net flux.
Qs_tavg (kg m-2 s-1): Storm surface runoff.
Qsb_tavg (kg m-2 s-1): Baseflow-groundwater runoff.
RadT_tavg (K): Surface radiative temperature.
Rainf_f_tavg (kg m-2 s-1): Total precipitation rate.
SnowCover_inst : Snow cover fraction.
SnowDepth_inst (m): Snow depth.
Snowf_tavg (kg m-2 s-1): Snowfall rate.
SoilMoi00_10cm_tavg (m^3 m-3):Soil moisture (0 - 10 cm underground).
SoilMoi10_40cm_tavg (m^3 m-3): Soil moisture (10 - 40 cm underground).
SoilMoi100_200cm_tavg (m^3 m-3): Soil moisture (100 - 200 cm underground).
SoilMoi40_100cm_tavg (m^3 m-3): Soil moisture (40 - 100 cm underground).
SoilTemp00_10cm_tavg (K): Soil temperature (0 - 10 cm underground).
SoilTemp10_40cm_tavg (K): Soil temperature (10 - 40 cm underground).
SoilTemp100_200cm_tavg (K): Soil temperature (100 - 200 cm underground).
SoilTemp40_100cm_tavg (K): Soil temperature (40 - 100 cm underground).
SWdown_f_tavg (W m-2): Surface downward shortwave radiation.
SWE_inst (kg m-2): Snow water equivalent.
Swnet_tavg (W m-2): Net shortwave radiation flux.
Tair_f_tavg (K): Near surface air temperature.
Wind_f_tavg (m s-1): Near surface wind speed.
a tibble object with the new variables.
## Not run:
library(tidyverse)
library(rgee)
library(innovar)
library(sf)
ee_Initialize()
# 1. Reading a sf object
data("Peru")
region <- Peru
region_ee <- pol_as_ee(region , id = 'distr' , simplify = 1000)
# 2. Extracting climate information
data <- region_ee %>% get_fldas(
from = "2001-02-01", to = "2002-12-31",
by = "month", band = "Qair_f_tavg", fun = "mean")
## End(Not run)
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