Anthropogenic CO2 from 1994 to 2007
Jens Daniel Müller
26 November, 2020
Last updated: 2020-11-26
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Knit directory: Cant_eMLR/
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1 Data source
- Anthropogenic CO2 estimates (1800-1994) by Sabine et al. (2004) downloaded in August 2020 from NOAA/NCEI Ocean Carbon Data System (OCADS)
2 Read ncdfs
AnthCO2_data <-
read_csv(
"data/input/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/input/GLODAPv1_1/GLODAP_gridded.data/Depth.centers.txt")
Depth_centers <- Depth_centers %>%
str_split(",") %>%
as_vector()
Lat_centers <-
read_file("data/input/GLODAPv1_1/GLODAP_gridded.data/Lat.centers.txt")
Lat_centers <- Lat_centers %>%
str_split(",") %>%
as_vector()
Long_centers <-
read_file("data/input/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, lon = Long_centers) %>%
mutate(lon = as.numeric(lon),
depth = as.numeric(depth))
cant_3d <- bind_cols(AnthCO2_data, Long_Depth)
cant_3d <- cant_3d %>%
pivot_longer(1:180, names_to = "lat", values_to = "cant") %>%
mutate(lat = as.numeric(lat))
cant_3d <- cant_3d %>%
drop_na()
cant_3d <- cant_3d %>%
mutate(lon = if_else(lon < 20, lon + 360, lon))
rm(AnthCO2_data,
Long_Depth,
Depth_centers,
Lat_centers,
Long_centers)3 Apply basin mask
cant_3d <- inner_join(cant_3d, basinmask)4 Inventory calculation
cant_3d <- cant_3d %>%
mutate(cant_pos = if_else(cant <= 0, 0, cant),
eras = "1800-1994")
cant_inv <- m_cant_inv(cant_3d)
# cant_inv <- cant_3d %>%
# filter(depth <= parameters$inventory_depth) %>%
# group_by(lon, lat, basin, basin_AIP) %>%
# summarise(cant_inv = sum(layer_inv_pos, na.rm = TRUE) / 1000,
# cant_inv_incl_neg = sum(layer_inv, na.rm = TRUE) / 1000) %>%
# ungroup()5 Cant plots
Below, following subsets of the climatologies are plotted for all relevant parameters:
- Horizontal planes at 0, 150, 500, 2000m
- Meridional sections at longitudes: 335.5, 190.5, 70.5
Section locations are indicated as white lines in maps.
5.1 Horizontal plane maps
p_map_climatology(
df = cant_3d,
var = "cant",
col = "divergent")
5.2 Sections
p_section_global(
df = cant_3d,
var = "cant",
col = "divergent")
5.3 Sections at regular longitudes
p_section_climatology_regular(
df = cant_3d,
var = "cant",
col = "divergent")
5.4 Zonal mean section
cant_zonal <- m_zonal_mean_section(cant_3d %>% select(-basin))5.5 Inventory maps
p_map_cant_inv(
df = cant_inv,
var = "cant_pos_inv",
breaks = seq(0,max(cant_inv$cant_pos_inv),5))
5.6 Write files
cant_3d %>%
write_csv(here::here("data/interim",
"S04_cant_3d.csv"))
cant_inv %>%
write_csv(here::here("data/interim",
"S04_cant_inv.csv"))
cant_zonal %>%
write_csv(here::here("data/interim",
"S04_cant_zonal.csv"))
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] metR_0.7.0 scico_1.2.0 patchwork_1.0.1 collapse_1.3.2
[5] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.0 purrr_0.3.4
[9] readr_1.3.1 tidyr_1.1.0 tibble_3.0.3 ggplot2_3.3.2
[13] tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] httr_1.4.2 jsonlite_1.7.0 here_0.1 modelr_0.1.8
[5] Formula_1.2-3 assertthat_0.2.1 blob_1.2.1 cellranger_1.1.0
[9] yaml_2.2.1 pillar_1.4.6 backports_1.1.8 lattice_0.20-41
[13] glue_1.4.1 digest_0.6.25 promises_1.1.1 checkmate_2.0.0
[17] rvest_0.3.6 colorspace_1.4-1 sandwich_2.5-1 htmltools_0.5.0
[21] httpuv_1.5.4 Matrix_1.2-18 pkgconfig_2.0.3 broom_0.7.0
[25] haven_2.3.1 xtable_1.8-4 scales_1.1.1 whisker_0.4
[29] later_1.1.0.1 git2r_0.27.1 generics_0.0.2 farver_2.0.3
[33] ellipsis_0.3.1 withr_2.2.0 cli_2.0.2 magrittr_1.5
[37] crayon_1.3.4 readxl_1.3.1 evaluate_0.14 fs_1.4.2
[41] fansi_0.4.1 xml2_1.3.2 tools_4.0.2 data.table_1.13.0
[45] hms_0.5.3 lifecycle_0.2.0 munsell_0.5.0 reprex_0.3.0
[49] isoband_0.2.2 compiler_4.0.2 lfe_2.8-5.1 rlang_0.4.7
[53] grid_4.0.2 rstudioapi_0.11 labeling_0.3 rmarkdown_2.3
[57] gtable_0.3.0 DBI_1.1.0 R6_2.4.1 zoo_1.8-8
[61] lubridate_1.7.9 knitr_1.30 rprojroot_1.3-2 stringi_1.4.6
[65] parallel_4.0.2 Rcpp_1.0.5 vctrs_0.3.2 dbplyr_1.4.4
[69] tidyselect_1.1.0 xfun_0.16