Last updated: 2020-08-10

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Knit directory: Cant_eMLR/

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Ignored files:
    Ignored:    .Rproj.user/
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    Ignored:    data/GLODAPv2_2020/
    Ignored:    data/Gruber_2019/
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    Ignored:    data/World_Ocean_Atlas_2018/
    Ignored:    data/dclement/
    Ignored:    data/eMLR/
    Ignored:    data/pCO2_atmosphere/
    Ignored:    dump/

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Rmd d202c61 jens-daniel-mueller 2020-08-10 Read Cant Sabine added

library(tidyverse)
library(lubridate)

1 Data source

2 Read ncdfs

AnthCO2_data <- read_csv("data/GLODAPv1_1/GLODAP_gridded.data/AnthCO2.data/AnthCO2.data.txt", 
    col_names = FALSE,
    na = "-999",
    col_types = list(.default = "d"))

Depth_centers <- read_file("data/GLODAPv1_1/GLODAP_gridded.data/Depth.centers.txt")

Depth_centers <- Depth_centers %>% 
  str_split(",") %>% 
  as_vector()

Lat_centers <- read_file("data/GLODAPv1_1/GLODAP_gridded.data/Lat.centers.txt")

Lat_centers <- Lat_centers %>% 
  str_split(",") %>% 
  as_vector()

Long_centers <- read_file("data/GLODAPv1_1/GLODAP_gridded.data/Long.centers.txt")

Long_centers <- Long_centers %>% 
  str_split(",") %>% 
  as_vector()

names(AnthCO2_data) <- Lat_centers

Long_Depth <- expand_grid(Depth = Depth_centers, Long = Long_centers) %>% 
  mutate(Long = as.numeric(Long),
         Depth = as.numeric(Depth))

Cant <- bind_cols(AnthCO2_data, Long_Depth)

Cant <- Cant %>% 
  pivot_longer(1:180, names_to = "Lat", values_to = "Cant") %>% 
  mutate(Lat = as.numeric(Lat))

Cant <- Cant %>% 
  drop_na()

rm(AnthCO2_data, Long_Depth, Depth_centers, Lat_centers, Long_centers)

3 Cant plots

depth_surface_selection <- c(0)
Atl_lon <- 335.5 - 360
Pac_lon <- 190.5 - 360

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

  • Horizontal planes at 0m
  • Meridional sections at longitudes:
    • Atlantic: -24.5
    • Pacific: -169.5

Section locations are indicated as white lines in maps.

Please note that longitudes in the climatologies range from -179.5 - 179.5, which is different from GLODAP mapped climatologies.

3.1 Surface Inventory map

Cant %>% 
  filter(Depth == depth_surface_selection) %>% 
  ggplot(aes(Long, Lat, fill = Cant)) +
  geom_raster() +
  geom_vline(xintercept = c(Atl_lon, Pac_lon), col = "white") +
  coord_quickmap(expand = 0) +
  scale_fill_viridis_c() +
  theme(legend.position = "top")

3.2 Sections

3.2.1 Atlantic

Cant %>% 
  filter(Long == Atl_lon) %>% 
  ggplot(aes(Lat, Depth, z = Cant)) +
  geom_contour_filled() +
  scale_fill_viridis_d(name = "Cant") +
  guides(fill = guide_colorsteps(barheight = unit(7, "cm"))) +
  scale_y_reverse() +
  coord_cartesian(expand = 0)

3.2.2 Pacific

Cant %>% 
  filter(Long == Pac_lon) %>% 
  ggplot(aes(Lat, Depth, z = Cant)) +
  geom_contour_filled() +
  scale_fill_viridis_d(name = "Cant") +
  guides(fill = guide_colorsteps(barheight = unit(7, "cm"))) +
  scale_y_reverse() +
  coord_cartesian(expand = 0)

3.3 Write files

Cant %>% 
  write_csv(here::here("data/GLODAPv1_1/_summarized_files",
                       "Cant_Sabine_2004.csv"))

4 Open tasks

5 Questions


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] lubridate_1.7.9 forcats_0.5.0   stringr_1.4.0   dplyr_1.0.0    
 [5] purrr_0.3.4     readr_1.3.1     tidyr_1.1.0     tibble_3.0.3   
 [9] ggplot2_3.3.2   tidyverse_1.3.0 workflowr_1.6.2

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