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library(tidyverse)
library(patchwork)
library(tidync)
library(reticulate)
library(oce)
basinmask <- read_csv(here::here("data/World_Ocean_Atlas_2018/_summarized_files",
                                 "basin_mask_WOA18.csv"))

landmask <- read_csv(here::here("data/World_Ocean_Atlas_2018/_summarized_files",
                                 "land_mask_WOA18.csv"))
section_global_coordinates <-
  read_csv(here::here("data",
                       "section_global_coordinates.csv"))

1 Data source

Dominic Clement provided a netcdf file with the basin mask and neutral densities used in Clement and Gruber (2018), both derived from the World Ocean Atlas 2013.

2 Read ncdfs

nd_mask <- tidync(here::here("data/World_Ocean_Atlas_2013_Clement",
                             "nd_mask.nc"))

nd_mask_tibble <- nd_mask %>% hyper_tibble()

nd_mask_tibble <- nd_mask_tibble %>%
  mutate(gamma = if_else(gamma == -999, NaN, gamma)) %>%
  drop_na()

nd_mask_tibble <- nd_mask_tibble %>%
  rename(lat = latitude,
         lon = longitude) %>%
  mutate(lon = if_else(lon < 20, lon + 360, lon))

3 Apply basin mask

4 Plots

Below, following subsets of the climatologies are plotted for all relevant parameters:

  • Horizontal planes at 0, 150, 500, 2000m
  • Meridional sections at longitudes: 335.5, 190.5, 70.5

Section locations are indicated as white lines in maps.

4.1 Basin map

Follwoing basin mask is not further used in this project.

nd_mask_tibble %>%
  filter(depth == 0) %>%
  ggplot(aes(lon, lat, fill = as.factor(mask))) +
  geom_raster() +
  geom_vline(
    xintercept = c(
      parameters$lon_Atl_section,
      parameters$lon_Pac_section,
      parameters$lon_Ind_section
    ),
    col = "white"
  ) +
  coord_quickmap(expand = 0) +
  scale_fill_brewer(palette = "Set1",
                    name = "basin mask") +
  theme(legend.position = "top",
        axis.title = element_blank())

4.2 Neutral density

4.2.1 Maps

map_climatology(nd_mask_tibble, "gamma")

4.2.2 Sections

section_global(nd_mask_tibble, "gamma")

4.3 Write file

nd_mask_tibble %>%
  write_csv(here::here("data/World_Ocean_Atlas_2013_Clement/_summarized_files",
                       "WOA13_mask_gamma.csv"))

rm(nd_mask, nd_mask_tibble, Atl_lon, Pac_lon, depth_surface_selection)

sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

locale:
[1] LC_COLLATE=English_Germany.1252  LC_CTYPE=English_Germany.1252   
[3] LC_MONETARY=English_Germany.1252 LC_NUMERIC=C                    
[5] LC_TIME=English_Germany.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] oce_1.2-0       gsw_1.0-5       testthat_2.3.2  reticulate_1.16
 [5] tidync_0.2.4    patchwork_1.0.1 forcats_0.5.0   stringr_1.4.0  
 [9] dplyr_1.0.0     purrr_0.3.4     readr_1.3.1     tidyr_1.1.0    
[13] tibble_3.0.3    ggplot2_3.3.2   tidyverse_1.3.0 workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] httr_1.4.2         jsonlite_1.7.0     viridisLite_0.3.0  here_0.1          
 [5] modelr_0.1.8       assertthat_0.2.1   blob_1.2.1         cellranger_1.1.0  
 [9] yaml_2.2.1         pillar_1.4.6       backports_1.1.8    lattice_0.20-41   
[13] glue_1.4.1         digest_0.6.25      RColorBrewer_1.1-2 promises_1.1.1    
[17] rvest_0.3.6        colorspace_1.4-1   htmltools_0.5.0    httpuv_1.5.4      
[21] Matrix_1.2-18      pkgconfig_2.0.3    broom_0.7.0        haven_2.3.1       
[25] scales_1.1.1       whisker_0.4        later_1.1.0.1      git2r_0.27.1      
[29] generics_0.0.2     farver_2.0.3       ellipsis_0.3.1     withr_2.2.0       
[33] cli_2.0.2          magrittr_1.5       crayon_1.3.4       readxl_1.3.1      
[37] evaluate_0.14      fs_1.4.2           ncdf4_1.17         fansi_0.4.1       
[41] xml2_1.3.2         tools_4.0.2        hms_0.5.3          lifecycle_0.2.0   
[45] munsell_0.5.0      reprex_0.3.0       isoband_0.2.2      compiler_4.0.2    
[49] RNetCDF_2.3-1      rlang_0.4.7        grid_4.0.2         rstudioapi_0.11   
[53] labeling_0.3       rmarkdown_2.3      gtable_0.3.0       DBI_1.1.0         
[57] R6_2.4.1           ncmeta_0.2.5       lubridate_1.7.9    knitr_1.30        
[61] rprojroot_1.3-2    stringi_1.4.6      Rcpp_1.0.5         vctrs_0.3.2       
[65] dbplyr_1.4.4       tidyselect_1.1.0   xfun_0.16