Atmospheric pCO2
Jens Daniel Müller
30 November, 2020
Last updated: 2020-11-30
Checks: 7 0
Knit directory: emlr_obs_preprocessing/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | cd676e8 | jens-daniel-mueller | 2020-11-30 | created global parameterization file params_global.rds |
| html | 825309e | jens-daniel-mueller | 2020-11-27 | Build site. |
| html | 58359ac | jens-daniel-mueller | 2020-11-27 | Build site. |
| Rmd | 2f37595 | jens-daniel-mueller | 2020-11-27 | first rebuild after splitting the preprocessing part |
| Rmd | 92e10aa | Jens Müller | 2020-11-27 | Initial commit |
| html | 92e10aa | Jens Müller | 2020-11-27 | Initial commit |
path_functions <- "/nfs/kryo/work/updata/emlr_cant/utilities/functions/"
path_files <- "/nfs/kryo/work/updata/emlr_cant/utilities/files/"path_atm_pCO2 <- "/nfs/kryo/work/updata/atm_pco2_noaa/"
path_preprocessing <- "/nfs/kryo/work/updata/emlr_cant/observations/preprocessing/"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")2 Time series
co2_atm %>%
ggplot(aes(year, pCO2)) +
geom_path() +
geom_point()
3 Write clean file
co2_atm %>%
write_csv(paste(path_preprocessing,
"co2_atm.csv",
sep = ""))
sessionInfo()R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.1
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] metR_0.9.0 scico_1.2.0 patchwork_1.1.0 collapse_1.4.2
[5] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.2 purrr_0.3.4
[9] readr_1.4.0 tidyr_1.1.2 tibble_3.0.4 ggplot2_3.3.2
[13] tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lubridate_1.7.9 lattice_0.20-41
[4] assertthat_0.2.1 rprojroot_1.3-2 digest_0.6.27
[7] R6_2.5.0 cellranger_1.1.0 backports_1.1.10
[10] reprex_0.3.0 evaluate_0.14 httr_1.4.2
[13] pillar_1.4.6 rlang_0.4.8 readxl_1.3.1
[16] data.table_1.13.2 rstudioapi_0.11 whisker_0.4
[19] blob_1.2.1 Matrix_1.2-18 checkmate_2.0.0
[22] rmarkdown_2.5 labeling_0.4.2 RcppEigen_0.3.3.7.0
[25] munsell_0.5.0 broom_0.7.2 compiler_4.0.3
[28] httpuv_1.5.4 modelr_0.1.8 xfun_0.18
[31] pkgconfig_2.0.3 htmltools_0.5.0 tidyselect_1.1.0
[34] fansi_0.4.1 crayon_1.3.4 dbplyr_1.4.4
[37] withr_2.3.0 later_1.1.0.1 grid_4.0.3
[40] jsonlite_1.7.1 gtable_0.3.0 lifecycle_0.2.0
[43] DBI_1.1.0 git2r_0.27.1 magrittr_1.5
[46] scales_1.1.1 cli_2.1.0 stringi_1.5.3
[49] farver_2.0.3 fs_1.5.0 promises_1.1.1
[52] RcppArmadillo_0.10.1.0.0 xml2_1.3.2 ellipsis_0.3.1
[55] generics_0.0.2 vctrs_0.3.4 tools_4.0.3
[58] glue_1.4.2 hms_0.5.3 parallel_4.0.3
[61] yaml_2.2.1 colorspace_1.4-1 rvest_0.3.6
[64] knitr_1.30 haven_2.3.1