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Bias correction of climate change projections
miturbide edited this page Jun 20, 2018
·
9 revisions
In the next example CORDEX climate change projections (period 2081-2100 and rcp8.5) are corrected using as observational reference VALUE station data (type ?VALUE_Iberia_pr
, ?CORDEX_Iberia_pr
and CORDEX_Iberia_pr.rcp85
.
# precipitation
data(VALUE_Iberia_pr)
y <- VALUE_Iberia_pr
data("CORDEX_Iberia_pr")
x <- CORDEX_Iberia_pr
data("CORDEX_Iberia_pr.rcp85")
newdata <- CORDEX_Iberia_pr.rcp85
cal <- biasCorrection(y = y, x = x,
newdata = newdata,
precipitation = TRUE,
method = "eqm",
extrapolation = "constant",
window = c(30, 15),
wet.threshold = 0.1)
Plot the resulting time series for Igueldo station with function temporalPlot
:
# time series plotting for Igueldo station
VALUE.obs <- subsetGrid(y, station.id = "000234") # observation
CDX.cal <- subsetGrid(cal, station.id = "000234") # CORDEX RCP8.5 corrected
CDX.hist <- interpGrid(x, getGrid(VALUE.obs)) # CORDEX historical
CDX.raw <- interpGrid(newdata, getGrid(VALUE.obs)) # CORDEX RCP8.5
temporalPlot(VALUE.obs, CDX.hist, CDX.cal, CDX.raw,
cols = c("black", "red", "green", "red"))
Red series are the non-corrected CORDEX data (historical and rcp8.5), the black line is the observation and the green one is the corrected CORDEX rcp8.5 data.
print(sessionInfo(package = c("transformeR", "downscaleR")))
## R version 3.4.3 (2017-11-30)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 14.04.5 LTS
##
## Matrix products: default
## BLAS: /usr/lib/libblas/libblas.so.3.0
## LAPACK: /usr/lib/lapack/liblapack.so.3.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=es_ES.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=es_ES.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=es_ES.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=es_ES.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## character(0)
##
## other attached packages:
## [1] transformeR_1.3.3 downscaleR_3.0.0
##
## loaded via a namespace (and not attached):
## [1] Rcpp_0.12.15 compiler_3.4.3 highr_0.6
## [4] methods_3.4.3 bitops_1.0-6 iterators_1.0.8
## [7] utils_3.4.3 tools_3.4.3 grDevices_3.4.3
## [10] deepnet_0.2 digest_0.6.13 dotCall64_0.9-5.2
## [13] evd_2.3-2 gtable_0.2.0 evaluate_0.10.1
## [16] lattice_0.20-35 Matrix_1.2-7.1 foreach_1.4.3
## [19] yaml_2.1.16 parallel_3.4.3 spam_2.1-2
## [22] akima_0.6-2 gridExtra_2.2.1 stringr_1.2.0
## [25] knitr_1.18 raster_2.6-7 gridGraphics_0.2
## [28] graphics_3.4.3 datasets_3.4.3 stats_3.4.3
## [31] fields_9.6 maps_3.2.0 rprojroot_1.3-2
## [34] grid_3.4.3 glmnet_2.0-13 base_3.4.3
## [37] rmarkdown_1.8 sp_1.2-7 magrittr_1.5
## [40] backports_1.1.2 codetools_0.2-15 htmltools_0.3.6
## [43] MASS_7.3-44 abind_1.4-5 stringi_1.1.5
## [46] RCurl_1.95-4.10 RcppEigen_0.3.3.3.1
downscaleR - Santander MetGroup (Univ. Cantabria - CSIC)