Last updated: 2021-03-03

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Knit directory: RECCAP2_CESM_ETHZ_submission/

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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:

  • area, Area_tot_native, Atm_CO2, mask_sfc, mask_vol, Vol_tot_native, volume

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_gr_1980-2018.nc",
              sep = "")
print(file)
[1] "Atm_CO2_CESM-ETHZ_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()

Version Author Date
2867123 jens-daniel-mueller 2021-03-03

2.2 XYZ shape variables

variables <- c("volume", "mask_vol")

for (i_variable in variables) {
  # i_variable <- variables[2]
  
  # read list of all files
  file <- paste(i_variable,
                "_CESM-ETHZ_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_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_gr.nc"

Version Author Date
2867123 jens-daniel-mueller 2021-03-03

Version Author Date
2867123 jens-daniel-mueller 2021-03-03

2.3 XY shape variables

variables <- c("area", "mask_sfc")


for (i_variable in variables) {
  # i_variable <- variables[2]
  
  # read list of all files
  file <- paste(i_variable,
                "_CESM-ETHZ_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_gr.nc"

Version Author Date
2867123 jens-daniel-mueller 2021-03-03
[1] "mask_sfc_CESM-ETHZ_gr.nc"

Version Author Date
2867123 jens-daniel-mueller 2021-03-03

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_gr.nc",
                sep = "")
  print(file)
  
  library(ncdf4)
  
  # 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_gr.nc"
[1] 3.611402e+14
[1] "Vol_tot_native_CESM-ETHZ_gr.nc"
[1] 1.32514e+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] ncdf4_1.17      tidync_0.2.4    stars_0.4-3     sf_0.9-6       
 [5] abind_1.4-5     metR_0.9.0      scico_1.2.0     patchwork_1.1.1
 [9] collapse_1.5.0  forcats_0.5.0   stringr_1.4.0   dplyr_1.0.2    
[13] purrr_0.3.4     readr_1.4.0     tidyr_1.1.2     tibble_3.0.4   
[17] ggplot2_3.3.2   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_0.4.9              readxl_1.3.1             rstudioapi_0.13         
[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_0.2.0          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_0.7.2              RcppEigen_0.3.3.7.0      e1071_1.7-4             
[70] later_1.1.0.1            class_7.3-17             viridisLite_0.3.0       
[73] units_0.6-7              ellipsis_0.3.1