Last updated: 2021-10-20

Checks: 7 0

Knit directory: emlr_obs_v_XXX/

This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

The command set.seed(20200707) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

Great job! Recording the operating system, R version, and package versions is critical for reproducibility.

Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.

Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 9f45187. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/

Untracked files:
    Untracked:  code/Move_to_preprocessing.Rmd

Unstaged changes:
    Modified:   code/Workflowr_project_managment.R
    Modified:   data/auxillary/params_local.rds

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/analysis_budgets.Rmd) and HTML (docs/analysis_budgets.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
html 1ba14cf jens-daniel-mueller 2021-10-20 Build site.
html dc0723b jens-daniel-mueller 2021-10-19 Build site.
html 722483f jens-daniel-mueller 2021-10-18 Build site.
html cd0ebd8 jens-daniel-mueller 2021-10-18 Build site.
html aedafcb jens-daniel-mueller 2021-10-17 Build site.
html 046c556 jens-daniel-mueller 2021-10-07 Build site.
html ac73c23 jens-daniel-mueller 2021-10-07 Build site.
html 0bd4ea2 jens-daniel-mueller 2021-10-07 Build site.
html 6969c18 jens-daniel-mueller 2021-10-07 check data distribution
html 06afaca jens-daniel-mueller 2021-09-23 Build site.
html 410dd46 jens-daniel-mueller 2021-09-22 Build site.
html 5a36231 jens-daniel-mueller 2021-09-22 Build site.
html c0bbbe4 jens-daniel-mueller 2021-09-22 Build site.
html 9eac969 jens-daniel-mueller 2021-08-30 Build site.
html 3a584b7 jens-daniel-mueller 2021-08-30 Build site.
html 6e17588 jens-daniel-mueller 2021-08-24 Build site.
html deb425c jens-daniel-mueller 2021-08-24 Build site.
html 534854b jens-daniel-mueller 2021-08-19 Build site.
html 77f4ba7 jens-daniel-mueller 2021-08-19 Build site.
html ece96df jens-daniel-mueller 2021-08-19 Build site.
html 27c99b8 jens-daniel-mueller 2021-08-19 Build site.
html a03f2f0 jens-daniel-mueller 2021-08-18 Build site.
html 9335b31 jens-daniel-mueller 2021-08-10 Build site.
html 9943b45 jens-daniel-mueller 2021-08-10 Build site.
html 0b00a2b jens-daniel-mueller 2021-08-09 Build site.
html 755c6b1 jens-daniel-mueller 2021-08-09 Build site.
html cd8e0d5 jens-daniel-mueller 2021-08-06 Build site.
html 15773a0 jens-daniel-mueller 2021-08-06 included calculation of revelle factor
html da61d1a jens-daniel-mueller 2021-08-06 Build site.
html 340d731 jens-daniel-mueller 2021-08-06 Build site.
html 71546e4 jens-daniel-mueller 2021-08-06 test with stricter CANYON-B filtering
html 29444a1 jens-daniel-mueller 2021-08-05 Build site.
html 42e80c0 jens-daniel-mueller 2021-08-04 Build site.
html 48f6eed jens-daniel-mueller 2021-08-04 Build site.
html 1c597ab jens-daniel-mueller 2021-08-04 Build site.
html 81a46a4 jens-daniel-mueller 2021-08-03 Build site.
html b88c61b jens-daniel-mueller 2021-08-03 Build site.
html 0f0d5e5 jens-daniel-mueller 2021-08-03 Build site.
Rmd 4d7bb5a jens-daniel-mueller 2021-08-03 test rlm model fitting
html a53656d jens-daniel-mueller 2021-08-03 Build site.
html 88f7356 jens-daniel-mueller 2021-08-02 Build site.
html d759279 jens-daniel-mueller 2021-08-02 Build site.
html 127b801 jens-daniel-mueller 2021-07-24 Build site.
html 1f65ef1 jens-daniel-mueller 2021-07-23 Build site.
html 912d90e jens-daniel-mueller 2021-07-23 Build site.
html 2477316 jens-daniel-mueller 2021-07-23 rebuild: surface dcant mapping seperate
html c9ccc00 jens-daniel-mueller 2021-07-22 Build site.
Rmd 6a7f226 jens-daniel-mueller 2021-07-22 surface dcant mapping seperate
html 426b2df jens-daniel-mueller 2021-07-21 Build site.
html 971ce87 jens-daniel-mueller 2021-07-13 Build site.
Rmd 89d9fcb jens-daniel-mueller 2021-07-13 complete revision
html 910d64a jens-daniel-mueller 2021-07-02 Build site.
html 1cbf907 jens-daniel-mueller 2021-07-02 Build site.
html 955f5dc jens-daniel-mueller 2021-06-29 Build site.
html 9480f94 jens-daniel-mueller 2021-06-29 Build site.
html d054c39 jens-daniel-mueller 2021-06-24 Build site.
html 4fcd066 jens-daniel-mueller 2021-06-24 Build site.
html 3b6387f jens-daniel-mueller 2021-06-18 Build site.
html 7a8d5f8 jens-daniel-mueller 2021-06-15 Build site.
Rmd 3695731 jens-daniel-mueller 2021-06-15 included budget assesment
html e0660fe jens-daniel-mueller 2021-06-15 Build site.
Rmd 430b829 jens-daniel-mueller 2021-06-15 included budget assesment
html 3052a6c jens-daniel-mueller 2021-06-15 Build site.
html 3cb64bd jens-daniel-mueller 2021-06-15 Build site.
html c6b3da6 jens-daniel-mueller 2021-06-14 Build site.
html 48c73fc jens-daniel-mueller 2021-06-14 Build site.
html 439ee80 jens-daniel-mueller 2021-06-11 Build site.
html 33ffcab jens-daniel-mueller 2021-06-10 Build site.
html 7e1f407 jens-daniel-mueller 2021-06-10 Build site.
html 2cbe18c jens-daniel-mueller 2021-06-10 added zonal mean section control plots
html 69c79d0 jens-daniel-mueller 2021-06-08 Build site.
html 1772903 jens-daniel-mueller 2021-06-07 Build site.
html 594ed9a jens-daniel-mueller 2021-06-04 Build site.
html db7df0e jens-daniel-mueller 2021-06-04 rebuild without overlapping eras
html 2edc791 jens-daniel-mueller 2021-06-04 Build site.
html 207339d jens-daniel-mueller 2021-06-03 Build site.
html 315710b jens-daniel-mueller 2021-06-03 include anomalous changes
html be90356 jens-daniel-mueller 2021-06-02 Build site.
html d37a85d jens-daniel-mueller 2021-05-31 Build site.
html 4b7a5ee jens-daniel-mueller 2021-05-28 Build site.
html 12b455a jens-daniel-mueller 2021-05-27 Build site.
Rmd ee13efb jens-daniel-mueller 2021-05-27 optional source of local params fully implemented
html 8c736a6 jens-daniel-mueller 2021-05-27 Build site.
Rmd dc8e4e1 jens-daniel-mueller 2021-05-27 optional source of local params implemented
html 25bd183 jens-daniel-mueller 2021-05-26 Build site.
html b79cb2d jens-daniel-mueller 2021-05-20 Build site.
html 62bd574 jens-daniel-mueller 2021-05-20 Build site.
html 7c56c39 jens-daniel-mueller 2021-05-19 Build site.
html 0de759e jens-daniel-mueller 2021-05-13 Build site.
html 52e7583 jens-daniel-mueller 2021-05-12 Build site.
html 969e631 jens-daniel-mueller 2021-05-12 Build site.
html d2a83bc jens-daniel-mueller 2021-04-16 Build site.
html c0a47df jens-daniel-mueller 2021-04-16 Build site.
html 50290e8 jens-daniel-mueller 2021-04-16 overlapping eras
html a00ec94 jens-daniel-mueller 2021-04-16 Build site.
Rmd 82df560 jens-daniel-mueller 2021-04-16 corrected tref assignment
html b6fe355 jens-daniel-mueller 2021-04-16 Build site.
html 81b7c6d jens-daniel-mueller 2021-04-16 Build site.
html 0a6099c jens-daniel-mueller 2021-04-16 Build site.
html ddec5b7 jens-daniel-mueller 2021-04-15 Build site.
html 29edae5 jens-daniel-mueller 2021-04-14 Build site.
html 099d566 jens-daniel-mueller 2021-04-14 Build site.
html bb44686 jens-daniel-mueller 2021-04-14 Build site.
html bf40480 jens-daniel-mueller 2021-04-13 Build site.
html 9f31fe3 jens-daniel-mueller 2021-04-13 Build site.
html 6eecb54 jens-daniel-mueller 2021-04-13 Build site.
Rmd b9c18c8 jens-daniel-mueller 2021-04-13 included model data
html f6ed7de jens-daniel-mueller 2021-04-13 Build site.
Rmd 3efd03e jens-daniel-mueller 2021-04-13 included model data
html c98be84 jens-daniel-mueller 2021-04-13 Build site.
html 338dd3c jens-daniel-mueller 2021-04-09 Build site.
html a79ca2c jens-daniel-mueller 2021-04-09 included model data
html 7831fd3 jens-daniel-mueller 2021-04-09 Build site.
html 20b26d4 jens-daniel-mueller 2021-04-08 Build site.
html c0895f8 jens-daniel-mueller 2021-04-07 Build site.
html 156d5b7 jens-daniel-mueller 2021-04-07 Build site.
html d21a452 jens-daniel-mueller 2021-04-07 Build site.
Rmd 296db5c jens-daniel-mueller 2021-04-07 included model data

1 Version ID

The results displayed on this site correspond to the Version_ID: v_XXX

2 Data sources

dcant estimates from this sensitivity case:

  • Mean and SD per grid cell (lat, lon, depth)
  • Zonal mean and SD (basin, lat, depth)
  • Inventories (lat, lon)
# integrated per basin_AIP

dcant_budget_basin_AIP <-
  read_csv(paste(path_version_data,
                 "dcant_budget_basin_AIP.csv",
                 sep = "")) %>% 
  filter(method == "total") %>% 
  select(-method)

dcant_budget_basin_AIP_mod_truth <-
  read_csv(paste(
    path_version_data,
    "dcant_budget_basin_AIP_mod_truth.csv",
    sep = ""
  )) %>% 
  filter(method == "total") %>% 
  select(-method)

dcant_budget_basin_AIP <- bind_rows(dcant_budget_basin_AIP,
                                    dcant_budget_basin_AIP_mod_truth)

rm(dcant_budget_basin_AIP_mod_truth)

# globally integrated

dcant_budget_global <-
  read_csv(paste(path_version_data,
                 "dcant_budget_global.csv",
                 sep = "")) %>% 
  filter(method == "total") %>% 
  select(-method)

dcant_budget_global_mod_truth <-
  read_csv(paste(
    path_version_data,
    "dcant_budget_global_mod_truth.csv",
    sep = ""
  )) %>% 
  filter(method == "total") %>% 
  select(-method)

dcant_budget_global <- bind_rows(dcant_budget_global,
                                    dcant_budget_global_mod_truth)

rm(dcant_budget_global_mod_truth)

# reference year

tref <-
  read_csv(paste(path_version_data,
                 "tref.csv",
                 sep = ""))

3 Time periods

tref
# A tibble: 2 × 4
  era       median_year start   end
  <chr>           <dbl> <dbl> <dbl>
1 1982-1999        1994  1982  1999
2 2000-2014        2007  2000  2014
duration <- sort(tref$median_year)[2] - sort(tref$median_year)[1]
duration
[1] 13

4 Global

4.1 Standard depth

Results integrated over the upper 3000 m

dcant_budget_global %>%
  filter(inv_depth == params_global$inventory_depth_standard) %>%
  ggplot(aes(estimate, value, fill = data_source)) +
  scale_fill_brewer(palette = "Dark2") +
  geom_col(position = position_dodge2())

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_global %>%
  filter(inv_depth == params_global$inventory_depth_standard) %>%
  select(-inv_depth) %>% 
  pivot_wider(names_from = estimate,
              values_from = value) %>% 
  gt(
    groupname_col = c("data_source")
  ) %>%
  summary_rows(groups = TRUE,
               fns = list(total = "sum"))
dcant dcant_pos
mod
24.785 26.269
obs
41.839 42.539
mod_truth
23.731 23.867
dcant_budget_global_bias <- dcant_budget_global %>%
  filter(data_source %in% c("mod", "mod_truth")) %>%
  select(data_source, inv_depth, estimate, value) %>%
  pivot_wider(names_from = data_source,
              values_from = value) %>%
  mutate(dcant_bias = mod - mod_truth,
         dcant_bias_rel = dcant_bias / mod_truth * 100)

dcant_budget_global_bias %>% 
  filter(inv_depth == params_global$inventory_depth_standard) %>% 
  ggplot(aes(dcant_bias, estimate)) +
  geom_vline(xintercept = 0) +
  geom_col() +
  scale_fill_brewer(palette = "Dark2")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_global_bias %>% 
  filter(inv_depth == params_global$inventory_depth_standard) %>% 
  ggplot(aes(dcant_bias_rel, estimate)) +
  geom_vline(xintercept = 0) +
  geom_col() +
  scale_fill_brewer(palette = "Dark2")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_global_bias %>%
  filter(inv_depth == params_global$inventory_depth_standard) %>%
  ggplot() +
  geom_col(aes(estimate, mod,
               fill = "eMLR")) +
  geom_col(aes(estimate, mod_truth,
               col = "truth"),
           fill = "transparent") +
  scale_fill_manual(values = "grey60") +
  scale_color_manual(values = c("red", "red")) +
  theme(legend.title = element_blank()) +
  labs(y = "value")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
  # geom_segment(aes(
  #   x = estimate,
  #   y = mod,
  #   xend = estimate,
  #   yend = mod_truth,
  #   col = "truth"
  # )) +
  # geom_point(aes(x = estimate,
  #                y = mod_truth,
  #                col = "truth"))

4.2 Other depths

Results integrated over the upper 100, 500, 1000, 3000, 10^{4} m

dcant_budget_global <- dcant_budget_global %>%
  mutate(inv_depth = as.factor(inv_depth))

dcant_budget_global %>%
  ggplot() +
  scale_fill_viridis_d() +
  geom_col(aes(data_source, value, fill = inv_depth),
           position = position_dodge2()) +
  facet_grid(. ~ estimate, scales = "free_y")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_global %>%
  pivot_wider(names_from = estimate,
              values_from = value) %>% 
  gt(
    groupname_col = c("data_source", "inv_depth"),
    row_group.sep = " | Depth: "
  ) %>%
  summary_rows(groups = TRUE,
               fns = list(total = "sum"))
dcant dcant_pos
mod | Depth: 100
4.851 4.855
mod | Depth: 500
16.875 16.896
mod | Depth: 1000
21.940 22.266
mod | Depth: 3000
24.785 26.269
mod | Depth: 10000
24.809 27.277
obs | Depth: 100
5.033 5.085
obs | Depth: 500
18.098 18.353
obs | Depth: 1000
25.844 26.288
obs | Depth: 3000
41.839 42.539
obs | Depth: 10000
51.127 52.017
mod_truth | Depth: 100
4.439 4.439
mod_truth | Depth: 500
15.755 15.756
mod_truth | Depth: 1000
21.109 21.110
mod_truth | Depth: 3000
23.731 23.867
mod_truth | Depth: 10000
24.086 24.241
dcant_budget_global_bias %>% 
  ggplot(aes(dcant_bias, estimate)) +
  geom_vline(xintercept = 0) +
  geom_col() +
  scale_fill_brewer(palette = "Dark2") +
  facet_grid(inv_depth ~ .)

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_global_bias %>% 
  ggplot(aes(dcant_bias_rel, estimate)) +
  geom_vline(xintercept = 0) +
  geom_col(position = "dodge") +
  scale_fill_brewer(palette = "Dark2") +
  facet_grid(inv_depth ~ .)

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_global_bias %>%
  ggplot() +
  geom_vline(xintercept = 0) +
  geom_col(aes(mod, estimate, fill = "eMLR"),
           position = "dodge") +
  geom_col(aes(mod_truth, estimate,
               col = "truth"),
           fill = "transparent") +
  scale_fill_manual(values = "grey60") +
  scale_color_manual(values = c("red", "red")) +
  theme(legend.title = element_blank()) +
  labs(x = "value") +
  facet_grid(inv_depth ~ .)

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03

5 Basin AIP

5.1 Standard depth

Results integrated over the upper 3000 m

dcant_budget_basin_AIP %>%
  filter(inv_depth == params_global$inventory_depth_standard) %>%
  ggplot(aes(estimate, value, fill=basin_AIP)) +
  scale_fill_brewer(palette = "Dark2") +
  geom_col() +
  facet_grid(~data_source)

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_basin_AIP %>%
  filter(inv_depth == params_global$inventory_depth_standard) %>%
  pivot_wider(names_from = estimate,
              values_from = value) %>% 
  gt(
    rowname_col = "basin_AIP",
    groupname_col = c("data_source", "inv_depth"),
    row_group.sep = " | Depth: "
  ) %>%
  summary_rows(groups = TRUE,
               fns = list(total = "sum"))
dcant dcant_pos
mod | Depth: 3000
Indian 6.325 6.856
Pacific 11.755 12.398
Atlantic 6.705 7.015
total 24.79 26.27
obs | Depth: 3000
Indian 13.839 14.080
Pacific 15.854 16.280
Atlantic 12.146 12.178
total 41.84 42.54
mod_truth | Depth: 3000
Indian 6.466 6.484
Pacific 11.354 11.464
Atlantic 5.911 5.919
total 23.73 23.87
dcant_budget_basin_AIP_bias <- dcant_budget_basin_AIP %>%
  filter(data_source %in% c("mod", "mod_truth")) %>%
  select(data_source, basin_AIP, inv_depth, estimate, value) %>%
  pivot_wider(names_from = data_source,
              values_from = value) %>%
  mutate(dcant_bias = mod - mod_truth,
         dcant_bias_rel = dcant_bias / mod_truth * 100)

dcant_budget_basin_AIP_bias %>% 
  filter(inv_depth == params_global$inventory_depth_standard) %>% 
  ggplot(aes(dcant_bias, estimate, fill=basin_AIP)) +
  geom_vline(xintercept = 0) +
  geom_col() +
  scale_fill_brewer(palette = "Dark2")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_basin_AIP_bias %>% 
  filter(inv_depth == params_global$inventory_depth_standard) %>% 
  ggplot(aes(dcant_bias_rel, estimate, fill=basin_AIP)) +
  geom_vline(xintercept = 0) +
  geom_col(position = "dodge") +
  scale_fill_brewer(palette = "Dark2")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03

5.2 Other depths

Results integrated over the upper 100, 500, 1000, 3000, 10^{4} m

dcant_budget_basin_AIP %>%
  ggplot(aes(data_source, value, fill=basin_AIP)) +
  scale_fill_brewer(palette = "Dark2") +
  geom_col() +
  facet_grid(inv_depth ~ estimate, scales = "free_y")

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_basin_AIP %>%
  pivot_wider(names_from = estimate,
              values_from = value) %>% 
  gt(
    rowname_col = "basin_AIP",
    groupname_col = c("data_source", "inv_depth"),
    row_group.sep = " | Depth: "
  ) %>%
  summary_rows(groups = TRUE,
               fns = list(total = "sum"))
dcant dcant_pos
mod | Depth: 100
Indian 0.941 0.945
Pacific 2.248 2.248
Atlantic 1.661 1.661
total 4.85 4.85
mod | Depth: 500
Indian 3.798 3.809
Pacific 8.310 8.319
Atlantic 4.767 4.768
total 16.88 16.90
mod | Depth: 1000
Indian 5.618 5.663
Pacific 10.264 10.522
Atlantic 6.058 6.081
total 21.94 22.27
mod | Depth: 3000
Indian 6.325 6.856
Pacific 11.755 12.398
Atlantic 6.705 7.015
total 24.79 26.27
mod | Depth: 10000
Indian 6.185 6.981
Pacific 11.790 13.091
Atlantic 6.834 7.205
total 24.81 27.28
obs | Depth: 100
Indian 0.984 1.030
Pacific 2.719 2.719
Atlantic 1.330 1.336
total 5.03 5.08
obs | Depth: 500
Indian 4.281 4.477
Pacific 9.231 9.282
Atlantic 4.586 4.594
total 18.10 18.35
obs | Depth: 1000
Indian 7.196 7.432
Pacific 12.148 12.332
Atlantic 6.501 6.524
total 25.84 26.29
obs | Depth: 3000
Indian 13.839 14.080
Pacific 15.854 16.280
Atlantic 12.146 12.178
total 41.84 42.54
obs | Depth: 10000
Indian 16.884 17.127
Pacific 18.944 19.558
Atlantic 15.299 15.332
total 51.13 52.02
mod_truth | Depth: 100
Indian 0.978 0.978
Pacific 2.311 2.311
Atlantic 1.151 1.151
total 4.44 4.44
mod_truth | Depth: 500
Indian 3.656 3.656
Pacific 8.145 8.145
Atlantic 3.954 3.955
total 15.75 15.76
mod_truth | Depth: 1000
Indian 5.470 5.470
Pacific 10.454 10.455
Atlantic 5.185 5.185
total 21.11 21.11
mod_truth | Depth: 3000
Indian 6.466 6.484
Pacific 11.354 11.464
Atlantic 5.911 5.919
total 23.73 23.87
mod_truth | Depth: 10000
Indian 6.535 6.558
Pacific 11.599 11.717
Atlantic 5.953 5.966
total 24.09 24.24
dcant_budget_basin_AIP_bias %>% 
  ggplot(aes(dcant_bias, estimate, fill=basin_AIP)) +
  geom_vline(xintercept = 0) +
  geom_col() +
  scale_fill_brewer(palette = "Dark2") +
  facet_grid(inv_depth ~ .)

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03
dcant_budget_basin_AIP_bias %>% 
  ggplot(aes(dcant_bias_rel, estimate, fill=basin_AIP)) +
  geom_vline(xintercept = 0) +
  geom_col(position = "dodge") +
  scale_fill_brewer(palette = "Dark2") +
  facet_grid(inv_depth ~ .)

Version Author Date
1ba14cf jens-daniel-mueller 2021-10-20
dc0723b jens-daniel-mueller 2021-10-19
722483f jens-daniel-mueller 2021-10-18
cd0ebd8 jens-daniel-mueller 2021-10-18
aedafcb jens-daniel-mueller 2021-10-17
046c556 jens-daniel-mueller 2021-10-07
ac73c23 jens-daniel-mueller 2021-10-07
0bd4ea2 jens-daniel-mueller 2021-10-07
6969c18 jens-daniel-mueller 2021-10-07
06afaca jens-daniel-mueller 2021-09-23
410dd46 jens-daniel-mueller 2021-09-22
5a36231 jens-daniel-mueller 2021-09-22
c0bbbe4 jens-daniel-mueller 2021-09-22
9eac969 jens-daniel-mueller 2021-08-30
3a584b7 jens-daniel-mueller 2021-08-30
6e17588 jens-daniel-mueller 2021-08-24
deb425c jens-daniel-mueller 2021-08-24
534854b jens-daniel-mueller 2021-08-19
77f4ba7 jens-daniel-mueller 2021-08-19
ece96df jens-daniel-mueller 2021-08-19
27c99b8 jens-daniel-mueller 2021-08-19
a03f2f0 jens-daniel-mueller 2021-08-18
9335b31 jens-daniel-mueller 2021-08-10
9943b45 jens-daniel-mueller 2021-08-10
0b00a2b jens-daniel-mueller 2021-08-09
755c6b1 jens-daniel-mueller 2021-08-09
cd8e0d5 jens-daniel-mueller 2021-08-06
15773a0 jens-daniel-mueller 2021-08-06
da61d1a jens-daniel-mueller 2021-08-06
340d731 jens-daniel-mueller 2021-08-06
71546e4 jens-daniel-mueller 2021-08-06
29444a1 jens-daniel-mueller 2021-08-05
42e80c0 jens-daniel-mueller 2021-08-04
48f6eed jens-daniel-mueller 2021-08-04
81a46a4 jens-daniel-mueller 2021-08-03
b88c61b jens-daniel-mueller 2021-08-03
0f0d5e5 jens-daniel-mueller 2021-08-03

6 Write files

dcant_budget_basin_AIP_bias %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_basin_AIP_bias.csv", sep = ""))

dcant_budget_global_bias %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_global_bias.csv", sep = ""))

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] gt_0.2.2         kableExtra_1.3.1 marelac_2.1.10   shape_1.4.5     
 [5] scales_1.1.1     ggforce_0.3.3    metR_0.9.0       scico_1.2.0     
 [9] patchwork_1.1.1  collapse_1.5.0   forcats_0.5.0    stringr_1.4.0   
[13] dplyr_1.0.5      purrr_0.3.4      readr_1.4.0      tidyr_1.1.3     
[17] tibble_3.1.3     ggplot2_3.3.5    tidyverse_1.3.0  workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] fs_1.5.0                 gsw_1.0-5                lubridate_1.7.9         
 [4] RColorBrewer_1.1-2       webshot_0.5.2            httr_1.4.2              
 [7] rprojroot_2.0.2          tools_4.0.3              backports_1.1.10        
[10] bslib_0.2.5.1            utf8_1.1.4               R6_2.5.0                
[13] DBI_1.1.0                colorspace_2.0-2         withr_2.3.0             
[16] tidyselect_1.1.0         compiler_4.0.3           git2r_0.27.1            
[19] cli_3.0.1                rvest_0.3.6              xml2_1.3.2              
[22] labeling_0.4.2           sass_0.4.0               checkmate_2.0.0         
[25] digest_0.6.27            rmarkdown_2.10           oce_1.2-0               
[28] pkgconfig_2.0.3          htmltools_0.5.1.1        highr_0.8               
[31] dbplyr_1.4.4             rlang_0.4.11             readxl_1.3.1            
[34] rstudioapi_0.13          jquerylib_0.1.4          generics_0.1.0          
[37] farver_2.0.3             jsonlite_1.7.1           magrittr_1.5            
[40] Matrix_1.2-18            Rcpp_1.0.5               munsell_0.5.0           
[43] fansi_0.4.1              lifecycle_1.0.0          stringi_1.5.3           
[46] whisker_0.4              yaml_2.2.1               MASS_7.3-53             
[49] grid_4.0.3               blob_1.2.1               parallel_4.0.3          
[52] promises_1.1.1           crayon_1.3.4             lattice_0.20-41         
[55] haven_2.3.1              hms_0.5.3                seacarb_3.2.14          
[58] knitr_1.33               pillar_1.6.2             reprex_0.3.0            
[61] glue_1.4.2               evaluate_0.14            RcppArmadillo_0.10.1.2.0
[64] data.table_1.14.0        modelr_0.1.8             vctrs_0.3.8             
[67] tweenr_1.0.2             httpuv_1.5.4             testthat_2.3.2          
[70] cellranger_1.1.0         gtable_0.3.0             polyclip_1.10-0         
[73] assertthat_0.2.1         xfun_0.25                broom_0.7.9             
[76] RcppEigen_0.3.3.7.0      later_1.2.0              viridisLite_0.3.0       
[79] ellipsis_0.3.2           here_0.1