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Knit directory: RECCAP2_CESM_ETHZ_submission/

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path_basin_mask <-
  "/nfs/kryo/work/updata/reccapv2/"

1 Overview

In the following, I plot the content of three region mask files prepared by Luke Gregor for the analysis within RECCAP2-ocean:

  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.

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,

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

2 Plots

2.1 region_masks_all

region_masks_all <-
  read_ncdf(paste(path_basin_mask, "RECCAP2_region_masks_all.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)

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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))

unique(region_masks_all$value)
 [1] 0  45 5  3  2  36 1  6  35 34 4  24 25 33 37 32 23 26 7  27 38 39 30 31 8 
[26] 22 28 9  10 29 20 40 19 21 11 41 42 17 12 18 15 16 44 13 43 14
46 Levels: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ... 45
region_masks_all %>%
  filter(value != 0) %>%
  ggplot(aes(lon, lat, fill = region)) +
  geom_raster() +
  scale_fill_brewer(palette = "Dark2") +
  coord_quickmap(expand = 0)

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region_masks_all %>%
  filter(value != 0) %>%
  ggplot(aes(lon, lat, fill = value)) +
  geom_raster() +
  coord_quickmap(expand = 0) +
  labs(title = "all regions")

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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]]

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[[2]]

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[[3]]

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[[4]]

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[[5]]

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[[6]]

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[[7]]

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ggplot() +
  geom_raster(data = region_masks_all %>% filter(value != 0),
              aes(lon, lat, fill = region)) +
  geom_raster(data = region_masks_all_seamask %>% filter(seamask == 1),
              aes(lon, lat))+
  coord_quickmap(expand = 0)

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

2.2 openocean_1deg

openocean_1deg <-
  read_ncdf(paste(path_basin_mask, "RECCAP2_openocean_1deg.nc", sep = "")) %>%
  as_tibble()

openocean_1deg <- openocean_1deg %>%
  mutate_at(vars("reccap2_ocean_regions":"seamask"), as.factor)

openocean_1deg %>%
  ggplot(aes(lon, lat, fill = reccap2_ocean_regions)) +
  geom_raster() +
  scale_fill_brewer(palette = "Dark2") +
  coord_quickmap(expand = 0)

Version Author Date
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openocean_1deg_seamask <- openocean_1deg %>%
  select(lat, lon, seamask)

ggplot() +
  geom_raster(data = openocean_1deg %>%
                filter(seamask != 0),
              aes(lon, lat, fill = "seamask")) +
  geom_raster(data = openocean_1deg %>%
                filter(reccap2_ocean_regions != 0),
              aes(lon, lat, fill = reccap2_ocean_regions)) +
  scale_fill_brewer(palette = "Dark2") +
  coord_quickmap(expand = 0)

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openocean_1deg <- openocean_1deg %>%
  filter(reccap2_ocean_regions != 0) %>% 
  select(-seamask)

openocean_1deg <- openocean_1deg %>%
  pivot_longer(atlantic:southern,
               names_to = "region",
               values_to = "value") %>%
  filter(value != 0)

ggplot() +
  geom_raster(data = openocean_1deg_seamask %>%
                filter(seamask == 0),
              aes(lon, lat)) +
  geom_raster(data = openocean_1deg,
              aes(lon, lat, fill = value)) +
  scale_fill_brewer(palette = "Dark2") +
  coord_quickmap(expand = 0) +
  facet_wrap(~region)

Version Author Date
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2.3 RECCAP2_coastal_MARCAT_1deg

RECCAP2_coastal_MARCAT_1deg <-
  read_ncdf(paste(path_basin_mask, "RECCAP2_coastal_MARCAT_1deg.nc", sep = "")) %>%
  as_tibble()

RECCAP2_coastal_MARCAT_1deg <- RECCAP2_coastal_MARCAT_1deg %>%
  rename("region" = "__xarray_dataarray_variable__") %>% 
  filter(!is.na(region)) %>% 
  mutate_at(vars("region"), as.factor)

RECCAP2_coastal_MARCAT_1deg %>%
  ggplot(aes(lon, lat, fill = region)) +
  geom_raster() +
  coord_quickmap(expand = 0)

Version Author Date
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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] tidync_0.2.4    stars_0.4-3     sf_0.9-6        abind_1.4-5    
 [5] metR_0.9.0      scico_1.2.0     patchwork_1.1.1 collapse_1.5.0 
 [9] forcats_0.5.0   stringr_1.4.0   dplyr_1.0.2     purrr_0.3.4    
[13] readr_1.4.0     tidyr_1.1.2     tibble_3.0.4    ggplot2_3.3.2  
[17] tidyverse_1.3.0 workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] fs_1.5.0                 lubridate_1.7.9          RColorBrewer_1.1-2      
 [4] httr_1.4.2               rprojroot_2.0.2          tools_4.0.3             
 [7] backports_1.1.10         R6_2.5.0                 KernSmooth_2.23-17      
[10] DBI_1.1.0                colorspace_1.4-1         withr_2.3.0             
[13] tidyselect_1.1.0         compiler_4.0.3           git2r_0.27.1            
[16] cli_2.1.0                rvest_0.3.6              RNetCDF_2.4-2           
[19] xml2_1.3.2               labeling_0.4.2           scales_1.1.1            
[22] checkmate_2.0.0          classInt_0.4-3           digest_0.6.27           
[25] rmarkdown_2.5            pkgconfig_2.0.3          htmltools_0.5.0         
[28] dbplyr_1.4.4             rlang_0.4.9              readxl_1.3.1            
[31] rstudioapi_0.13          generics_0.0.2           farver_2.0.3            
[34] jsonlite_1.7.1           magrittr_1.5             ncmeta_0.3.0            
[37] Matrix_1.2-18            Rcpp_1.0.5               munsell_0.5.0           
[40] fansi_0.4.1              lifecycle_0.2.0          stringi_1.5.3           
[43] whisker_0.4              yaml_2.2.1               grid_4.0.3              
[46] blob_1.2.1               parallel_4.0.3           promises_1.1.1          
[49] crayon_1.3.4             lattice_0.20-41          haven_2.3.1             
[52] hms_0.5.3                knitr_1.30               pillar_1.4.7            
[55] reprex_0.3.0             glue_1.4.2               evaluate_0.14           
[58] RcppArmadillo_0.10.1.2.0 data.table_1.13.2        modelr_0.1.8            
[61] vctrs_0.3.5              httpuv_1.5.4             cellranger_1.1.0        
[64] gtable_0.3.0             assertthat_0.2.1         xfun_0.18               
[67] lwgeom_0.2-5             broom_0.7.2              RcppEigen_0.3.3.7.0     
[70] e1071_1.7-4              later_1.1.0.1            class_7.3-17            
[73] ncdf4_1.17               units_0.6-7              ellipsis_0.3.1