Overview XYZT variables
Jens Daniel Müller
17 June, 2021
Last updated: 2021-06-17
Checks: 7 0
Knit directory: RECCAP2_CESM_ETHZ_submission/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 2fce560 | jens-daniel-mueller | 2021-06-17 | rebuild all with June2021 data before resubmission |
| html | de8d525 | jens-daniel-mueller | 2021-03-12 | Build site. |
| html | 92e996c | jens-daniel-mueller | 2021-03-12 | Build site. |
| html | d1e65ec | jens-daniel-mueller | 2021-03-12 | Build site. |
| Rmd | d4987b6 | jens-daniel-mueller | 2021-03-12 | adapt March2021 data version |
| html | a074aa8 | jens-daniel-mueller | 2021-03-03 | Build site. |
| html | 698f009 | jens-daniel-mueller | 2021-03-03 | Build site. |
| Rmd | 1c3ecba | jens-daniel-mueller | 2021-03-03 | with ancillary variables |
| html | 2867123 | jens-daniel-mueller | 2021-03-03 | Build site. |
| Rmd | 3409042 | jens-daniel-mueller | 2021-03-03 | with ancillary variables |
| html | fe6bd41 | jens-daniel-mueller | 2021-03-03 | Build site. |
| Rmd | 69c6cb0 | jens-daniel-mueller | 2021-03-03 | rebuild with ancillary variables |
1 File names
overview <-
read_csv("data/overview/overview_files.csv")
variables <-
overview %>%
filter(experiment_id == "ancillary") %>%
distinct(variable_id) %>%
pull()2 Plots
Below, please find plots of the variables:
- alpha, area, Area_tot_native, Atm_CO2, chlos, dfeos, dissic, dissicos, epc, epc100, epc1000, epc1000hard, epc1000soft, epc100hard, epc100soft, epcalc100, fgco2, fgco2_glob, fgco2_reg, fice, intdiac, intphyc, intphynd, intpp, intzooc, Kw, mask_sfc, mask_vol, mld, no3, no3os, o2, o2os, pco2atm, po4, po4os, si, sios, so, sos, spco2, talk, talkos, thetao, tos, Vol_tot_native, volume, zeu
2.1 T shape variables
i_variable <- "Atm_CO2"
i_variable[1] "Atm_CO2"# read list of all files
file <- paste(i_variable,
"_CESM-ETHZ_1_gr_1980-2018.nc",
sep = "")
print(file)[1] "Atm_CO2_CESM-ETHZ_1_gr_1980-2018.nc"# read in data
variable_data <-
tidync(paste(path_cmorized_annual,
file,
sep = ""))
# convert to tibble
variable_data_tibble <- variable_data %>%
hyper_tibble()
# remove open link to nc file
rm(variable_data)
variable_data_tibble %>%
ggplot(aes(time_ann, Atm_CO2)) +
geom_path() +
geom_point()
2.2 XYZ shape variables
variables <- c("volume", "mask_vol")
for (i_variable in variables) {
# i_variable <- variables[1]
# read list of all files
file <- paste(i_variable,
"_CESM-ETHZ_1_gr.nc",
sep = "")
print(file)
# read in data
variable_data <-
tidync(paste(path_cmorized_annual,
file,
sep = ""))
# convert to tibble
variable_data_tibble <- variable_data %>%
hyper_tibble()
# remove open link to nc file
rm(variable_data)
print(
variable_data_tibble %>%
ggplot(aes(!!sym(i_variable), depth)) +
geom_bin2d(bins = 100) +
scale_y_reverse() +
scale_fill_viridis_c()
)
print(
variable_data_tibble %>%
ggplot(aes(!!sym(i_variable))) +
geom_histogram()
)
}[1] "volume_CESM-ETHZ_1_gr.nc"
| Version | Author | Date |
|---|---|---|
| 2867123 | jens-daniel-mueller | 2021-03-03 |
| Version | Author | Date |
|---|---|---|
| 2867123 | jens-daniel-mueller | 2021-03-03 |
[1] "mask_vol_CESM-ETHZ_1_gr.nc"
2.3 XY shape variables
variables <- c("area", "mask_sfc")
for (i_variable in variables) {
# i_variable <- variables[1]
# read list of all files
file <- paste(i_variable,
"_CESM-ETHZ_1_gr.nc",
sep = "")
print(file)
# read in data
variable_data <-
tidync(paste(path_cmorized_annual,
file,
sep = ""))
# convert to tibble
variable_data_tibble <- variable_data %>%
hyper_tibble()
# remove open link to nc file
rm(variable_data)
print(
variable_data_tibble %>%
ggplot(aes(lon, lat, fill=!!sym(i_variable))) +
geom_raster() +
scale_fill_viridis_c() +
coord_quickmap(expand = 0)
)
}[1] "area_CESM-ETHZ_1_gr.nc"
| Version | Author | Date |
|---|---|---|
| 2867123 | jens-daniel-mueller | 2021-03-03 |
[1] "mask_sfc_CESM-ETHZ_1_gr.nc"
2.4 Single values
variables <- c("Area_tot_native", "Vol_tot_native")
for (i_variable in variables) {
# i_variable <- variables[1]
# read list of all files
file <- paste(i_variable,
"_CESM-ETHZ_1_gr.nc",
sep = "")
print(file)
# read in data
variable_data <-
nc_open(file = paste(path_cmorized_annual,
file,
sep = ""),
suppress_dimvals = TRUE)
print(ncvar_get(variable_data))
}[1] "Area_tot_native_CESM-ETHZ_1_gr.nc"
[1] 1.437808e+14
[1] "Vol_tot_native_CESM-ETHZ_1_gr.nc"
[1] 1.324394e+18
sessionInfo()R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.2
Matrix products: default
BLAS: /usr/local/R-4.0.3/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.0.3/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] units_0.6-7 ncdf4_1.17 tidync_0.2.4 stars_0.5-2
[5] sf_0.9-8 abind_1.4-5 metR_0.9.0 scico_1.2.0
[9] patchwork_1.1.1 collapse_1.5.0 forcats_0.5.0 stringr_1.4.0
[13] dplyr_1.0.5 purrr_0.3.4 readr_1.4.0 tidyr_1.1.2
[17] tibble_3.0.4 ggplot2_3.3.3 tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] fs_1.5.0 lubridate_1.7.9 httr_1.4.2
[4] rprojroot_2.0.2 tools_4.0.3 backports_1.1.10
[7] R6_2.5.0 KernSmooth_2.23-17 DBI_1.1.0
[10] colorspace_1.4-1 withr_2.3.0 tidyselect_1.1.0
[13] compiler_4.0.3 git2r_0.27.1 cli_2.1.0
[16] rvest_0.3.6 RNetCDF_2.4-2 xml2_1.3.2
[19] labeling_0.4.2 scales_1.1.1 checkmate_2.0.0
[22] classInt_0.4-3 digest_0.6.27 rmarkdown_2.5
[25] pkgconfig_2.0.3 htmltools_0.5.0 dbplyr_1.4.4
[28] rlang_0.4.10 readxl_1.3.1 rstudioapi_0.11
[31] generics_0.0.2 farver_2.0.3 jsonlite_1.7.1
[34] magrittr_1.5 ncmeta_0.3.0 Matrix_1.2-18
[37] Rcpp_1.0.5 munsell_0.5.0 fansi_0.4.1
[40] lifecycle_1.0.0 stringi_1.5.3 whisker_0.4
[43] yaml_2.2.1 grid_4.0.3 blob_1.2.1
[46] parallel_4.0.3 promises_1.1.1 crayon_1.3.4
[49] lattice_0.20-41 haven_2.3.1 hms_0.5.3
[52] knitr_1.30 pillar_1.4.7 reprex_0.3.0
[55] glue_1.4.2 evaluate_0.14 RcppArmadillo_0.10.1.2.0
[58] data.table_1.13.2 modelr_0.1.8 vctrs_0.3.5
[61] httpuv_1.5.4 cellranger_1.1.0 gtable_0.3.0
[64] assertthat_0.2.1 xfun_0.18 lwgeom_0.2-5
[67] broom_0.7.5 RcppEigen_0.3.3.7.0 e1071_1.7-4
[70] later_1.1.0.1 viridisLite_0.3.0 class_7.3-17
[73] ellipsis_0.3.1