Region masks
Jens Daniel Müller
21 December, 2022
Last updated: 2022-12-21
Checks: 7 0
Knit directory:
RECCAP2_CESM_ETHZ_submission_v2/
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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:
RECCAP2_region_masks_all.ncRECCAP2_openocean_1deg.ncRECCAP2_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_v20221025.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)
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)
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]]
[[2]]
[[3]]
[[4]]
[[5]]
[[6]]
3 Write csv file
region_masks_all %>%
write_csv("data/regions/RECCAP2_region_masks_all_clean.cvs")
sessionInfo()R version 4.2.2 (2022-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.4
Matrix products: default
BLAS: /usr/local/R-4.2.2/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.2.2/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_0.3.0 stars_0.6-0 sf_1.0-9 abind_1.4-5
[5] geomtextpath_0.1.1 colorspace_2.0-3 marelac_2.1.10 shape_1.4.6
[9] ggforce_0.4.1 metR_0.13.0 scico_1.3.1 patchwork_1.1.2
[13] collapse_1.8.9 forcats_0.5.2 stringr_1.4.1 dplyr_1.0.10
[17] purrr_0.3.5 readr_2.1.3 tidyr_1.2.1 tibble_3.1.8
[21] ggplot2_3.4.0 tidyverse_1.3.2 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] googledrive_2.0.0 ellipsis_0.3.2 class_7.3-20
[4] rprojroot_2.0.3 fs_1.5.2 rstudioapi_0.14
[7] proxy_0.4-27 farver_2.1.1 bit64_4.0.5
[10] fansi_1.0.3 lubridate_1.9.0 xml2_1.3.3
[13] ncdf4_1.19 cachem_1.0.6 knitr_1.41
[16] polyclip_1.10-4 jsonlite_1.8.3 gsw_1.1-1
[19] broom_1.0.1 dbplyr_2.2.1 compiler_4.2.2
[22] httr_1.4.4 backports_1.4.1 assertthat_0.2.1
[25] fastmap_1.1.0 gargle_1.2.1 cli_3.4.1
[28] later_1.3.0 tweenr_2.0.2 htmltools_0.5.3
[31] tools_4.2.2 gtable_0.3.1 glue_1.6.2
[34] Rcpp_1.0.9 RNetCDF_2.6-1 cellranger_1.1.0
[37] jquerylib_0.1.4 vctrs_0.5.1 lwgeom_0.2-10
[40] xfun_0.35 ps_1.7.2 rvest_1.0.3
[43] ncmeta_0.3.5 timechange_0.1.1 lifecycle_1.0.3
[46] googlesheets4_1.0.1 oce_1.7-10 getPass_0.2-2
[49] MASS_7.3-58.1 scales_1.2.1 vroom_1.6.0
[52] hms_1.1.2 promises_1.2.0.1 parallel_4.2.2
[55] RColorBrewer_1.1-3 yaml_2.3.6 memoise_2.0.1
[58] sass_0.4.4 stringi_1.7.8 highr_0.9
[61] e1071_1.7-12 checkmate_2.1.0 rlang_1.0.6
[64] pkgconfig_2.0.3 systemfonts_1.0.4 evaluate_0.18
[67] SolveSAPHE_2.1.0 labeling_0.4.2 bit_4.0.5
[70] processx_3.8.0 tidyselect_1.2.0 seacarb_3.3.1
[73] magrittr_2.0.3 R6_2.5.1 generics_0.1.3
[76] DBI_1.1.3 pillar_1.8.1 haven_2.5.1
[79] whisker_0.4 withr_2.5.0 units_0.8-0
[82] modelr_0.1.10 crayon_1.5.2 KernSmooth_2.23-20
[85] utf8_1.2.2 tzdb_0.3.0 rmarkdown_2.18
[88] grid_4.2.2 readxl_1.4.1 data.table_1.14.6
[91] callr_3.7.3 git2r_0.30.1 reprex_2.0.2
[94] digest_0.6.30 classInt_0.4-8 httpuv_1.6.6
[97] textshaping_0.3.6 munsell_0.5.0 bslib_0.4.1