Last updated: 2022-04-04

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Knit directory: RECCAP2_ROMS_SO_ETHZ_submission/

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path_basin_mask <-
  "/nfs/kryo/work/updata/reccap2/"

1 Overview

Three region mask files prepared by Luke Gregor for the analysis within RECCAP2-ocean are available:

  1. RECCAP2_region_masks_all.nc
  2. RECCAP2_openocean_1deg.nc
  3. RECCAP2_coastal_MARCAT_1deg.nc

Please note that the content of 2. an 3. should be identical to the fields open_ocean and coastal_MARCAT contained in 3. Accordingly, files 2. and 3. are not required for the analysis. In the following, I plot the content of 1.

For the submission, spatially resolved surface fluxes of CO2 should be integrated across the entire open_ocean region for fco2_glob, and across the indices 1-5 of the open_ocean region for fco2_reg,

2 File: region_masks_all

2.1 Seamask

Please note that the seamask provided within 3. is not identical to the open_ocean region and should not be used for data analysis.

region_masks_all <-
  read_ncdf(paste(path_basin_mask, "RECCAP2_region_masks_all_v20210412.nc", sep = "")) %>%
  as_tibble()

region_masks_all <- region_masks_all %>%
  mutate(seamask = as.factor(seamask))

region_masks_all %>%
  ggplot(aes(lon, lat, fill = seamask)) +
  geom_raster() +
  coord_quickmap(expand = 0)

Version Author Date
f8e6891 Jens Müller 2021-10-11

2.2 Regions

Below, the open ocean regions used to calculate fgco2_reg are displayed. Please note that the coastal_marcats regions is covered by the other regions.

region_masks_all_seamask <- region_masks_all %>%
  select(lat, lon, seamask)

region_masks_all <- region_masks_all %>%
  select(-seamask)

region_masks_all <- region_masks_all %>%
  pivot_longer(open_ocean:southern,
               names_to = "region",
               values_to = "value") %>%
  mutate(value = as.factor(value))

region_masks_all %>%
  filter(value != 0) %>%
  ggplot(aes(lon, lat, fill = region)) +
  geom_raster() +
  scale_fill_brewer(palette = "Dark2") +
  coord_quickmap(expand = 0)

Version Author Date
f8e6891 Jens Müller 2021-10-11

2.3 Sub-regions

Each open ocean region consists of several subregions with indices for further regionalization.

region_masks_all %>%
  filter(value != 0) %>%
  group_split(region) %>%
  map(
    ~ ggplot() +
      geom_raster(data = region_masks_all_seamask %>% filter(seamask == 0),
                  aes(lon, lat)) +
      geom_raster(data = .x,
                  aes(lon, lat, fill = value)) +
      coord_quickmap(expand = 0) +
      labs(title = paste("region:", unique(.x$region)))
  )
[[1]]

Version Author Date
f8e6891 Jens Müller 2021-10-11

[[2]]

Version Author Date
f8e6891 Jens Müller 2021-10-11

[[3]]

Version Author Date
f8e6891 Jens Müller 2021-10-11

[[4]]

Version Author Date
f8e6891 Jens Müller 2021-10-11

[[5]]

Version Author Date
f8e6891 Jens Müller 2021-10-11

[[6]]

Version Author Date
f8e6891 Jens Müller 2021-10-11

3 Write csv file

region_masks_all %>% 
  write_csv("data/regions/RECCAP2_region_masks_all_clean.csv")

sessionInfo()
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.3

Matrix products: default
BLAS:   /usr/local/R-4.1.2/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.1.2/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] tidync_0.2.4    stars_0.5-5     sf_1.0-5        abind_1.4-5    
 [5] ggforce_0.3.3   metR_0.11.0     scico_1.3.0     patchwork_1.1.1
 [9] collapse_1.7.0  forcats_0.5.1   stringr_1.4.0   dplyr_1.0.7    
[13] purrr_0.3.4     readr_2.1.1     tidyr_1.1.4     tibble_3.1.6   
[17] ggplot2_3.3.5   tidyverse_1.3.1 workflowr_1.7.0

loaded via a namespace (and not attached):
 [1] fs_1.5.2           lubridate_1.8.0    bit64_4.0.5        RColorBrewer_1.1-2
 [5] httr_1.4.2         rprojroot_2.0.2    tools_4.1.2        backports_1.4.1   
 [9] bslib_0.3.1        utf8_1.2.2         R6_2.5.1           KernSmooth_2.23-20
[13] DBI_1.1.2          colorspace_2.0-2   withr_2.4.3        tidyselect_1.1.1  
[17] processx_3.5.2     bit_4.0.4          compiler_4.1.2     git2r_0.29.0      
[21] cli_3.1.1          rvest_1.0.2        RNetCDF_2.5-2      xml2_1.3.3        
[25] labeling_0.4.2     sass_0.4.0         scales_1.1.1       checkmate_2.0.0   
[29] classInt_0.4-3     proxy_0.4-26       callr_3.7.0        digest_0.6.29     
[33] rmarkdown_2.11     pkgconfig_2.0.3    htmltools_0.5.2    highr_0.9         
[37] dbplyr_2.1.1       fastmap_1.1.0      rlang_0.4.12       readxl_1.3.1      
[41] rstudioapi_0.13    jquerylib_0.1.4    generics_0.1.1     farver_2.1.0      
[45] jsonlite_1.7.3     vroom_1.5.7        magrittr_2.0.1     ncmeta_0.3.0      
[49] Rcpp_1.0.8         munsell_0.5.0      fansi_1.0.2        lifecycle_1.0.1   
[53] stringi_1.7.6      whisker_0.4        yaml_2.2.1         MASS_7.3-55       
[57] grid_4.1.2         parallel_4.1.2     promises_1.2.0.1   crayon_1.4.2      
[61] haven_2.4.3        hms_1.1.1          knitr_1.37         ps_1.6.0          
[65] pillar_1.6.4       reprex_2.0.1       glue_1.6.0         evaluate_0.14     
[69] getPass_0.2-2      data.table_1.14.2  modelr_0.1.8       vctrs_0.3.8       
[73] tzdb_0.2.0         tweenr_1.0.2       httpuv_1.6.5       cellranger_1.1.0  
[77] gtable_0.3.0       polyclip_1.10-0    assertthat_0.2.1   xfun_0.29         
[81] lwgeom_0.2-8       broom_0.7.11       e1071_1.7-9        later_1.3.0       
[85] ncdf4_1.19         class_7.3-20       units_0.7-2        ellipsis_0.3.2