Region masks
Jens Daniel Müller
03 March, 2021
Last updated: 2021-03-03
Checks: 7 0
Knit directory: RECCAP2_CESM_ETHZ_submission/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | fe6bd41 | jens-daniel-mueller | 2021-03-03 | Build site. |
| html | 61543c7 | jens-daniel-mueller | 2021-03-03 | Build site. |
| Rmd | 21789bf | jens-daniel-mueller | 2021-03-03 | rebuild after cleaning |
| html | 1bb2b08 | jens-daniel-mueller | 2021-03-02 | Build site. |
| html | 063851d | jens-daniel-mueller | 2021-03-02 | Build site. |
| html | 026469a | jens-daniel-mueller | 2021-03-02 | Build site. |
| Rmd | 7ee6e95 | jens-daniel-mueller | 2021-03-02 | plot spatially integrated time series |
| html | d5e90cc | jens-daniel-mueller | 2021-02-26 | Build site. |
| Rmd | dc0cf7d | jens-daniel-mueller | 2021-02-26 | plot regions |
| html | 57e8a05 | jens-daniel-mueller | 2021-02-26 | Build site. |
| Rmd | c8ab45f | jens-daniel-mueller | 2021-02-26 | plot regions |
| html | 73f18f3 | jens-daniel-mueller | 2021-02-26 | Build site. |
| Rmd | 3374f39 | jens-daniel-mueller | 2021-02-26 | plot regions |
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:
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.
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)
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
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$value) [1] 0 45 5 3 2 36 1 6 35 34 4 24 25 33 37 32 23 26 7 27 38 39 30 31 8
[26] 22 28 9 10 29 20 40 19 21 11 41 42 17 12 18 15 16 44 13 43 14
46 Levels: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ... 45region_masks_all %>%
filter(value != 0) %>%
ggplot(aes(lon, lat, fill = region)) +
geom_raster() +
scale_fill_brewer(palette = "Dark2") +
coord_quickmap(expand = 0)
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
region_masks_all %>%
filter(value != 0) %>%
ggplot(aes(lon, lat, fill = value)) +
geom_raster() +
coord_quickmap(expand = 0) +
labs(title = "all regions")
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
region_masks_all %>%
filter(value != 0) %>%
group_split(region) %>%
map(
~ ggplot() +
geom_raster(data = region_masks_all_seamask %>% filter(seamask == 0),
aes(lon, lat)) +
geom_raster(data = .x,
aes(lon, lat, fill = value)) +
coord_quickmap(expand = 0) +
labs(title = paste("region:", unique(.x$region)))
)[[1]]
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
[[2]]
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
[[3]]
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|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
[[4]]
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|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
[[5]]
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
[[6]]
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
[[7]]
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
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)
| Version | Author | Date |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
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 |
|---|---|---|
| 73f18f3 | jens-daniel-mueller | 2021-02-26 |
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)
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)
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 |
|---|---|---|
| d5e90cc | jens-daniel-mueller | 2021-02-26 |
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