Atmospheric pCO2
Jens Daniel Müller
01 April, 2022
Last updated: 2022-04-01
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Knit directory: emlr_obs_preprocessing/
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1 Read data
- Data source:
Globally averaged marine surface annual mean datafrom ESRL-NOAA
co2_atm <- read_table2(
paste(path_atm_pCO2,
"co2_annmean_gl.txt",
sep = ""),
col_names = FALSE,
comment = "#"
)
co2_atm <- co2_atm %>%
select(-X3)
names(co2_atm) <- c("year", "pCO2")- Data source:
Global CO2 concentration (ppm) Prepared by C Le Quéré and M W Jones for the Global Carbon Project, 1 May 2020 This dataset is intended to be used as atmospheric forcing for modelling the evolution of carbon sinks
Data from March 1958 are monthly average from MLO and SPO provided by NOAA’s Earth System Research Laboratory http://www.esrl.noaa.gov/gmd/ccgg/trends/ When no SPO data are available (including prior to 1975), SPO is constructed from the 1976-2014 average MLO-SPO trend and average monthly departure The last year of data are still preliminary, pending recalibrations of reference gases and other quality control checks.
Data prior to March 1958 are estimated with a cubic spline fit to ice core data from Joos and Spahni 2008 Rates of change in natural and anthropogenic radiative forcing over the past 20,000 years PNAS
Annual mean values are calculated for all years.
co2_atm_reccap2 <- read_table2(
paste0(path_reccap2,
"global_co2_merged.txt"),
col_names = c("year", "pCO2"),
skip = 16
)
co2_atm_reccap2 <- co2_atm_reccap2 %>%
mutate(year = as.integer(round(year))) %>%
group_by(year) %>%
summarise(pCO2 = mean(pCO2, na.rm = TRUE)) %>%
ungroup()2 Time series
ggplot() +
# geom_path(data = co2_atm_reccap2, aes(year, pCO2, col="reccap2")) +
geom_point(data = co2_atm_reccap2, aes(year, pCO2, col="reccap2")) +
# geom_smooth(data = co2_atm_reccap2, aes(year, pCO2, col="reccap2"),
# method = "lm", formula = y ~ x + I(x^2)) +
# geom_path(data = co2_atm, aes(year, pCO2, col="NOAA")) +
geom_point(data = co2_atm, aes(year, pCO2, col="NOAA")) +
scale_color_brewer(palette = "Set1") +
theme(legend.title = element_blank())
3 Write clean file
co2_atm %>%
write_csv(paste(path_preprocessing,
"co2_atm.csv",
sep = ""))
co2_atm_reccap2 %>%
write_csv(paste(path_preprocessing,
"co2_atm_reccap2.csv",
sep = ""))
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] colorspace_2.0-2 marelac_2.1.10 shape_1.4.6 ggforce_0.3.3
[5] metR_0.11.0 scico_1.3.0 patchwork_1.1.1 collapse_1.7.0
[9] forcats_0.5.1 stringr_1.4.0 dplyr_1.0.7 purrr_0.3.4
[13] readr_2.1.1 tidyr_1.1.4 tibble_3.1.6 ggplot2_3.3.5
[17] tidyverse_1.3.1 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] fs_1.5.2 bit64_4.0.5 lubridate_1.8.0 gsw_1.0-6
[5] RColorBrewer_1.1-2 httr_1.4.2 rprojroot_2.0.2 tools_4.1.2
[9] backports_1.4.1 bslib_0.3.1 utf8_1.2.2 R6_2.5.1
[13] DBI_1.1.2 withr_2.4.3 tidyselect_1.1.1 processx_3.5.2
[17] bit_4.0.4 compiler_4.1.2 git2r_0.29.0 cli_3.1.1
[21] rvest_1.0.2 xml2_1.3.3 labeling_0.4.2 sass_0.4.0
[25] scales_1.1.1 checkmate_2.0.0 SolveSAPHE_2.1.0 callr_3.7.0
[29] digest_0.6.29 rmarkdown_2.11 oce_1.5-0 pkgconfig_2.0.3
[33] htmltools_0.5.2 highr_0.9 dbplyr_2.1.1 fastmap_1.1.0
[37] rlang_0.4.12 readxl_1.3.1 rstudioapi_0.13 jquerylib_0.1.4
[41] generics_0.1.1 farver_2.1.0 jsonlite_1.7.3 vroom_1.5.7
[45] magrittr_2.0.1 Rcpp_1.0.8 munsell_0.5.0 fansi_1.0.2
[49] lifecycle_1.0.1 stringi_1.7.6 whisker_0.4 yaml_2.2.1
[53] MASS_7.3-55 grid_4.1.2 parallel_4.1.2 promises_1.2.0.1
[57] crayon_1.4.2 haven_2.4.3 hms_1.1.1 seacarb_3.3.0
[61] knitr_1.37 ps_1.6.0 pillar_1.6.4 reprex_2.0.1
[65] glue_1.6.0 evaluate_0.14 getPass_0.2-2 data.table_1.14.2
[69] modelr_0.1.8 vctrs_0.3.8 tzdb_0.2.0 tweenr_1.0.2
[73] httpuv_1.6.5 cellranger_1.1.0 gtable_0.3.0 polyclip_1.10-0
[77] assertthat_0.2.1 xfun_0.29 broom_0.7.11 later_1.3.0
[81] ellipsis_0.3.2