Mapping cant

workflowr

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• Past versions

Last updated: 2021-08-19

Checks: 7 0

Knit directory: emlr_obs_v_XXX/

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---

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---

These are the previous versions of the repository in which changes were made to the R Markdown (analysis/mapping_dcant_mod_truth.Rmd) and HTML (docs/mapping_dcant_mod_truth.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	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.
Rmd	4b27dd8	jens-daniel-mueller	2021-08-10	without P, AIP basins
html	ee6c815	jens-daniel-mueller	2021-08-09	Build site.
Rmd	c1efeb3	jens-daniel-mueller	2021-08-09	added cstar-based dcant estimate
html	17518ad	jens-daniel-mueller	2021-08-09	Build site.
Rmd	1d6ee94	jens-daniel-mueller	2021-08-09	added cstar-based dcant estimate
html	00fc082	jens-daniel-mueller	2021-08-09	Build site.
Rmd	d0f77eb	jens-daniel-mueller	2021-08-09	added cstar-based dcant estimate
html	bf149ea	jens-daniel-mueller	2021-08-09	Build site.
Rmd	39e32f2	jens-daniel-mueller	2021-08-09	added cstar-based dcant estimate
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.
Rmd	7499718	jens-daniel-mueller	2021-08-04	test with eMLR to surface
html	1c597ab	jens-daniel-mueller	2021-08-04	Build site.
Rmd	92bb6b3	jens-daniel-mueller	2021-08-04	test with intermediate CANYON-B offset threshold
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.
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.
html	f3c0d7a	jens-daniel-mueller	2021-07-22	Build site.
Rmd	203223f	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	8d6c6c2	jens-daniel-mueller	2021-07-09	Build site.
Rmd	6743f76	jens-daniel-mueller	2021-07-09	complete revision

---

1 Version ID

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

2 Required data

• tcant 3D fields at tref1 and tref2 for variable and constant climate model runs

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

tcant_tref_1 <-
  read_csv(
    paste(
      path_model_preprocessing,
      "cant_annual_field_AD",
      "/cant_",
      unique(tref$median_year[1]),
      ".csv",
      sep = ""
    )
  )

tcant_tref_1 <- tcant_tref_1 %>%
  rename(tcant_tref_1 = cant_total) %>%
  select(-year)

tcant_tref_2 <-
  read_csv(
    paste(
      path_model_preprocessing,
      "cant_annual_field_AD",
      "/cant_",
      unique(tref$median_year[2]),
      ".csv",
      sep = ""
    )
  )

tcant_tref_2 <- tcant_tref_2 %>%
  rename(tcant_tref_2 = cant_total) %>%
  select(-year)

tcant_cc_tref_1 <-
  read_csv(
    paste(
      path_model_preprocessing,
      "cant_annual_field_CB",
      "/cant_",
      unique(tref$median_year[1]),
      ".csv",
      sep = ""
    )
  )

tcant_cc_tref_1 <- tcant_cc_tref_1 %>%
  rename(tcant_tref_1 = cant_total) %>%
  select(-year)

tcant_cc_tref_2 <-
  read_csv(
    paste(
      path_model_preprocessing,
      "cant_annual_field_CB",
      "/cant_",
      unique(tref$median_year[2]),
      ".csv",
      sep = ""
    )
  )

tcant_cc_tref_2 <- tcant_cc_tref_2 %>%
  rename(tcant_tref_2 = cant_total) %>%
  select(-year)

cstar_tref_1 <-
  read_csv(
    paste(
      path_model_preprocessing,
      "cstar_annual_field_A",
      "/cstar_A_",
      unique(tref$median_year[1]),
      ".csv",
      sep = ""
    )
  )

cstar_tref_1 <- cstar_tref_1 %>%
  select(lon, lat, depth, cstar_no3, cstar_po4) %>% 
  pivot_longer(cstar_no3:cstar_po4,
               names_to = "data_source",
               names_prefix = "cstar_",
               values_to = "cstar_tref_1")

cstar_tref_2 <-
  read_csv(
    paste(
      path_model_preprocessing,
      "cstar_annual_field_A",
      "/cstar_A_",
      unique(tref$median_year[2]),
      ".csv",
      sep = ""
    )
  )

cstar_tref_2 <- cstar_tref_2 %>%
  select(lon, lat, depth, cstar_no3, cstar_po4) %>% 
  pivot_longer(cstar_no3:cstar_po4,
               names_to = "data_source",
               names_prefix = "cstar_",
               values_to = "cstar_tref_2")

climatology <-
  read_csv(paste0(path_model_preprocessing,
                  "climatology_runA_2007.csv"))

climatology <- climatology %>%
  select(lon, lat, depth, gamma)

3 dcant calculation

dcant_3d <- left_join(tcant_tref_1, tcant_tref_2) %>%
  mutate(dcant = tcant_tref_2 - tcant_tref_1)

rm(tcant_tref_1, tcant_tref_2)

dcant_3d <- dcant_3d %>%
  mutate(dcant_pos = if_else(dcant <= 0, 0, dcant))

dcant_3d <- full_join(dcant_3d, climatology)

dcant_3d <- dcant_3d %>%
  mutate(
    method = "surface",
    method = if_else(
      depth >= params_local$depth_min | gamma >= params_local$gamma_min,
      "eMLR",
      method
    )
  )

dcant_3d <- m_cut_gamma(dcant_3d, "gamma")

dcant_3d_vc <- dcant_3d %>% 
  mutate(data_source = "mod_truth") %>% 
  select(lon, lat, depth, basin_AIP, data_source, method,
            tcant_tref_1, dcant, dcant_pos,
            gamma, gamma_slab)

dcant_3d <- left_join(tcant_cc_tref_1, tcant_cc_tref_2) %>%
  mutate(dcant = tcant_tref_2 - tcant_tref_1)

rm(tcant_cc_tref_1, tcant_cc_tref_2)

dcant_3d <- dcant_3d %>%
  mutate(dcant_pos = if_else(dcant <= 0, 0, dcant))

dcant_3d <- full_join(dcant_3d, climatology)

dcant_3d <- dcant_3d %>%
  mutate(
    method = "surface",
    method = if_else(
      depth >= params_local$depth_min | gamma >= params_local$gamma_min,
      "eMLR",
      method
    )
  )

dcant_3d <- m_cut_gamma(dcant_3d, "gamma")

dcant_3d_cc <- dcant_3d %>% 
  mutate(data_source = "mod_truth_cc") %>% 
  select(lon, lat, depth, basin_AIP, data_source, method,
            tcant_tref_1, dcant, dcant_pos,
            gamma, gamma_slab)

rm(dcant_3d)

dcant_3d <- bind_rows(
  dcant_3d_cc,
  dcant_3d_vc
)

rm(
  dcant_3d_cc,
  dcant_3d_vc
)

surface_data <- nrow(dcant_3d %>% filter(method == "surface")) > 0

dcant_3d_cstar <- left_join(cstar_tref_1, cstar_tref_2) %>%
  mutate(dcant = cstar_tref_2 - cstar_tref_1)

rm(cstar_tref_1, cstar_tref_2)

dcant_3d_cstar <- dcant_3d_cstar %>%
  mutate(dcant_pos = if_else(dcant <= 0, 0, dcant))

dcant_3d_cstar <- full_join(dcant_3d_cstar, climatology)

dcant_3d_cstar <- dcant_3d_cstar %>%
  mutate(
    method = "surface",
    method = if_else(
      depth >= params_local$depth_min | gamma >= params_local$gamma_min,
      "eMLR",
      method
    )
  )


dcant_3d_cstar <- inner_join(
  dcant_3d_cstar,
  basinmask %>%
    filter(MLR_basins == params_local$MLR_basins) %>%
    select(-MLR_basins)
) 

dcant_3d_cstar <- m_cut_gamma(dcant_3d_cstar, "gamma")


dcant_3d_cstar <- dcant_3d_cstar %>% 
  # mutate(data_source = "mod_truth_cstar") %>% 
  select(lon, lat, depth, basin_AIP, data_source, data_source, method,
            cstar_tref_1, cstar_tref_2, dcant, dcant_pos,
            gamma, gamma_slab)

4 Maps

dcant_3d %>%
  group_split(data_source) %>%
  # head(1) %>%
  map(~ p_map_climatology(
    df = .x,
    var = "dcant",
    subtitle_text = paste("Climate: ", .x$data_source)
  ))

[[1]]

Past versions of cant_deep_climatology_map-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
bf149ea	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
8d6c6c2	jens-daniel-mueller	2021-07-09

[[2]]

Past versions of cant_deep_climatology_map-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
bf149ea	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
8d6c6c2	jens-daniel-mueller	2021-07-09

dcant_3d_cstar %>%
  group_split(data_source) %>%
  # head(1) %>%
  map(~ p_map_climatology(
    df = .x,
    var = "dcant",
    subtitle_text = paste("data_source: ", .x$data_source)
  ))

[[1]]

Past versions of cant_deep_climatology_map_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09
bf149ea	jens-daniel-mueller	2021-08-09

[[2]]

Past versions of cant_deep_climatology_map_cstar-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09
bf149ea	jens-daniel-mueller	2021-08-09

dcant_3d %>%
  group_split(data_source) %>%
  # head(1) %>%
  map(~ p_section_climatology_regular(
    df = .x,
    var = "dcant",
    subtitle_text = paste("Climate: ", .x$data_source)
  ))

[[1]]

Past versions of cant_deep_climatology_sections-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
bf149ea	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
8d6c6c2	jens-daniel-mueller	2021-07-09

[[2]]

Past versions of cant_deep_climatology_sections-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
bf149ea	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
971ce87	jens-daniel-mueller	2021-07-13

dcant_3d_cstar %>%
  group_split(data_source) %>%
  # head(1) %>%
  map(~ p_section_climatology_regular(
    df = .x,
    var = "dcant",
    subtitle_text = paste("data_source: ", .x$data_source)
  ))

[[1]]

Past versions of cant_deep_climatology_sections_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09
bf149ea	jens-daniel-mueller	2021-08-09

[[2]]

Past versions of cant_deep_climatology_sections_cstar-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09
bf149ea	jens-daniel-mueller	2021-08-09

5 Averaging and integration

5.1 Zonal sections

dcant_zonal <- dcant_3d %>%
  group_by(data_source) %>%
  nest() %>%
  mutate(zonal = map(.x = data, ~m_zonal_mean_sd(.x))) %>%
  select(-data) %>%
  unnest(zonal)

dcant_zonal <- m_cut_gamma(dcant_zonal, "gamma_mean")

dcant_zonal_method <- dcant_3d %>%
  group_by(data_source, method) %>%
  nest() %>%
  mutate(zonal = map(.x = data, ~m_zonal_mean_sd(.x))) %>%
  select(-data) %>%
  unnest(zonal)

dcant_zonal_method <- m_cut_gamma(dcant_zonal_method,
                                   "gamma_mean")

dcant_zonal <- dcant_zonal %>% 
  rename(dcant = dcant_mean,
         dcant_pos = dcant_pos_mean)

dcant_zonal_method <- dcant_zonal_method %>% 
  rename(dcant = dcant_mean,
         dcant_pos = dcant_pos_mean)

dcant_zonal_cstar <- dcant_3d_cstar %>%
  group_by(data_source) %>%
  nest() %>%
  mutate(zonal = map(.x = data, ~m_zonal_mean_sd(.x))) %>%
  select(-data) %>%
  unnest(zonal)

dcant_zonal_cstar <- m_cut_gamma(dcant_zonal_cstar, "gamma_mean")

dcant_zonal_method_cstar <- dcant_3d_cstar %>%
  group_by(data_source, method) %>%
  nest() %>%
  mutate(zonal = map(.x = data, ~m_zonal_mean_sd(.x))) %>%
  select(-data) %>%
  unnest(zonal)

dcant_zonal_method_cstar <- m_cut_gamma(dcant_zonal_method_cstar,
                                   "gamma_mean")

dcant_zonal_cstar <- dcant_zonal_cstar %>% 
  rename(dcant = dcant_mean,
         dcant_pos = dcant_pos_mean)

dcant_zonal_method_cstar <- dcant_zonal_method_cstar %>% 
  rename(dcant = dcant_mean,
         dcant_pos = dcant_pos_mean)

5.2 Inventories

To calculate dcant column inventories, we:

1. Convert Cant concentrations to volumetric units
2. Multiply layer thickness with volumetric Cant concentration to get a layer inventory
3. For each horizontal grid cell and era, sum cant layer inventories for different inventory depths (100, 500, 1000, 3000, 10^{4} m)

Step 2 is performed separately for all Cant and positive Cant values only.

5.2.1 Full water column

dcant_inv <- dcant_3d %>%
  group_by(data_source) %>%
  nest() %>%
  mutate(inv = map(.x = data, ~m_dcant_inv(.x))) %>%
  select(-data) %>%
  unnest(inv)

p_map_cant_inv(df = dcant_inv,
               var = "dcant",
               subtitle_text = "for predefined integration depths") +
  facet_grid(inv_depth ~ data_source)

Past versions of calc_dcant_inventories-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22
971ce87	jens-daniel-mueller	2021-07-13
8d6c6c2	jens-daniel-mueller	2021-07-09

if (surface_data == FALSE){
  dcant_inv <- dcant_inv %>% 
    mutate(method = "total")
}

dcant_inv_cstar <- dcant_3d_cstar %>%
  group_by(data_source) %>%
  nest() %>%
  mutate(inv = map(.x = data, ~m_dcant_inv(.x))) %>%
  select(-data) %>%
  unnest(inv)

p_map_cant_inv(df = dcant_inv_cstar,
               var = "dcant",
               subtitle_text = "for predefined integration depths") +
  facet_grid(inv_depth ~ data_source)

Past versions of calc_dcant_inventories_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

if (surface_data == FALSE){
  dcant_inv <- dcant_inv %>% 
    mutate(method = "total")
}

5.2.2 Surface layer

dcant_inv_surface <- dcant_3d %>%
  filter(method == "surface") %>% 
  group_by(data_source) %>%
  nest() %>%
  mutate(inv = map(.x = data, ~m_dcant_inv(.x))) %>%
  select(-data) %>%
  unnest(inv)

p_map_cant_inv(
  df = dcant_inv_surface %>%
    filter(inv_depth < 1000),
  var = "dcant_pos",
  subtitle_text = "for predefined integration depths",
  breaks = c(-Inf, seq(0, 4, 0.5), Inf)
) +
  facet_grid(inv_depth ~ data_source)

Past versions of cant_inventories_surface-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

dcant_inv_surface_cstar <- dcant_3d_cstar %>%
  filter(method == "surface") %>% 
  group_by(data_source) %>%
  nest() %>%
  mutate(inv = map(.x = data, ~m_dcant_inv(.x))) %>%
  select(-data) %>%
  unnest(inv)

p_map_cant_inv(
  df = dcant_inv_surface_cstar %>%
    filter(inv_depth < 1000),
  var = "dcant_pos",
  subtitle_text = "for predefined integration depths",
  breaks = c(-Inf, seq(0, 4, 0.5), Inf)
) +
  facet_grid(inv_depth ~ data_source)

Past versions of cant_inventories_surface_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

5.2.3 eMLR only

dcant_inv <- full_join(
  dcant_inv %>% rename(dcant_total = dcant,
                       dcant_pos_total = dcant_pos),
  dcant_inv_surface %>% rename(dcant_surface = dcant,
                               dcant_pos_surface = dcant_pos)
)

dcant_inv <- dcant_inv %>%
  mutate(dcant_eMLR = dcant_total -
           replace(dcant_surface, is.na(dcant_surface), 0),
         dcant_pos_eMLR = dcant_pos_total -
           replace(dcant_pos_surface, is.na(dcant_pos_surface), 0))

dcant_inv_all <- dcant_inv %>% 
  select(-starts_with("dcant_pos")) %>% 
  pivot_longer(starts_with("dcant_"),
               names_to = "method",
               names_prefix = "dcant_",
               values_to = "dcant")

dcant_inv_pos <- dcant_inv %>% 
  select(data_source, lon, lat, basin_AIP, inv_depth,
         starts_with("dcant_pos_")) %>% 
  pivot_longer(starts_with("dcant_pos_"),
               names_to = "method",
               names_prefix = "dcant_pos_",
               values_to = "dcant_pos")

dcant_inv <- full_join(
  dcant_inv_all,
  dcant_inv_pos
)

rm(dcant_inv_all, dcant_inv_pos, dcant_inv_surface)

dcant_inv %>%
  group_by(inv_depth) %>%
  group_split() %>% 
  # tail(1) %>%
  map(
    ~ p_map_cant_inv(df = .x,
                     var = "dcant",
                     subtitle_text = paste("Integration depth",
                                           unique(.x$inv_depth))) +
      facet_grid(method ~ data_source)
  )

[[1]]

Past versions of combine_dcant_inventories-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

[[2]]

Past versions of combine_dcant_inventories-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

[[3]]

Past versions of combine_dcant_inventories-3.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

[[4]]

Past versions of combine_dcant_inventories-4.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

[[5]]

Past versions of combine_dcant_inventories-5.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

dcant_inv_cstar <- full_join(
  dcant_inv_cstar %>% rename(dcant_total = dcant,
                       dcant_pos_total = dcant_pos),
  dcant_inv_surface_cstar %>% rename(dcant_surface = dcant,
                               dcant_pos_surface = dcant_pos)
)

dcant_inv_cstar <- dcant_inv_cstar %>%
  mutate(dcant_eMLR = dcant_total -
           replace(dcant_surface, is.na(dcant_surface), 0),
         dcant_pos_eMLR = dcant_pos_total -
           replace(dcant_pos_surface, is.na(dcant_pos_surface), 0))

dcant_inv_all_cstar <- dcant_inv_cstar %>% 
  select(-starts_with("dcant_pos")) %>% 
  pivot_longer(starts_with("dcant_"),
               names_to = "method",
               names_prefix = "dcant_",
               values_to = "dcant")

dcant_inv_pos_cstar <- dcant_inv_cstar %>% 
  select(data_source, lon, lat, basin_AIP, inv_depth,
         starts_with("dcant_pos_")) %>% 
  pivot_longer(starts_with("dcant_pos_"),
               names_to = "method",
               names_prefix = "dcant_pos_",
               values_to = "dcant_pos")

dcant_inv_cstar <- full_join(
  dcant_inv_all_cstar,
  dcant_inv_pos_cstar
)

rm(dcant_inv_all_cstar, dcant_inv_pos_cstar, dcant_inv_surface_cstar)

dcant_inv_cstar %>%
  group_by(inv_depth) %>%
  group_split() %>% 
  # tail(1) %>%
  map(
    ~ p_map_cant_inv(df = .x,
                     var = "dcant",
                     subtitle_text = paste("Integration depth",
                                           unique(.x$inv_depth))) +
      facet_grid(method ~ data_source)
  )

[[1]]

Past versions of combine_dcant_inventories_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[2]]

Past versions of combine_dcant_inventories_cstar-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[3]]

Past versions of combine_dcant_inventories_cstar-3.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[4]]

Past versions of combine_dcant_inventories_cstar-4.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[5]]

Past versions of combine_dcant_inventories_cstar-5.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

5.3 Budgets

Global dcant budgets were estimated in units of Pg C. Please note that here we added dcant (all vs postitive only) values and do not apply additional corrections for areas not covered.

dcant_budget_global <- m_dcant_budget(dcant_inv)

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

Past versions of budget_global-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22
971ce87	jens-daniel-mueller	2021-07-13

dcant_budget_global_cstar <- m_dcant_budget(dcant_inv_cstar)

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

Past versions of budget_global_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

dcant_budget_global %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  ggplot(aes(estimate, value, fill=method)) +
  scale_fill_brewer(palette = "Dark2") +
  geom_col() +
  facet_grid(.~data_source)

Past versions of budget_global_surface-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04
48f6eed	jens-daniel-mueller	2021-08-04
88f7356	jens-daniel-mueller	2021-08-02
127b801	jens-daniel-mueller	2021-07-24
912d90e	jens-daniel-mueller	2021-07-23
2477316	jens-daniel-mueller	2021-07-23
f3c0d7a	jens-daniel-mueller	2021-07-22

dcant_budget_global_cstar %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  ggplot(aes(estimate, value, fill=method)) +
  scale_fill_brewer(palette = "Dark2") +
  geom_col() +
  facet_grid(.~data_source)

Past versions of budget_global_surface_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

dcant_budget_basin_AIP <- dcant_inv %>% 
  group_by(basin_AIP) %>%
  nest() %>% 
  mutate(budget = map(.x = data, ~m_dcant_budget(.x))) %>% 
  select(-data) %>%
  unnest(budget)

dcant_budget_basin_AIP_cstar <- dcant_inv_cstar %>% 
  group_by(basin_AIP) %>%
  nest() %>% 
  mutate(budget = map(.x = data, ~m_dcant_budget(.x))) %>% 
  select(-data) %>%
  unnest(budget)

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

Past versions of budget_basin_AIP_fig-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04

dcant_budget_basin_AIP_cstar %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  ggplot(aes(basin_AIP, value, fill=method)) +
  scale_fill_brewer(palette = "Dark2") +
  geom_col() +
  facet_grid(estimate~data_source)

Past versions of budget_basin_AIP_fig_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

dcant_budget_basin_MLR <-
  full_join(dcant_inv, basinmask) %>%
  group_by(basin, MLR_basins) %>%
  nest() %>%
  mutate(budget = map(.x = data, ~ m_dcant_budget(.x))) %>%
  select(-data) %>%
  unnest(budget)

dcant_budget_basin_MLR_cstar <-
  full_join(dcant_inv_cstar, basinmask) %>%
  group_by(basin, MLR_basins) %>%
  nest() %>%
  mutate(budget = map(.x = data, ~ m_dcant_budget(.x))) %>%
  select(-data) %>%
  unnest(budget)

dcant_budget_basin_MLR %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  group_by(MLR_basins) %>%
  group_split() %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(basin, value, fill = method)) +
      scale_fill_brewer(palette = "Dark2") +
      geom_col() +
      facet_grid(estimate ~ data_source) +
      labs(title = paste("MLR_basins:", unique(.x$MLR_basins)))
  )

[[1]]

Past versions of budget_MLR_regions_fig-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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
42e80c0	jens-daniel-mueller	2021-08-04

[[2]]

Past versions of budget_MLR_regions_fig-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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
42e80c0	jens-daniel-mueller	2021-08-04

[[3]]

Past versions of budget_MLR_regions_fig-3.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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
42e80c0	jens-daniel-mueller	2021-08-04

[[4]]

Past versions of budget_MLR_regions_fig-4.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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
42e80c0	jens-daniel-mueller	2021-08-04

[[5]]

Past versions of budget_MLR_regions_fig-5.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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
42e80c0	jens-daniel-mueller	2021-08-04

[[6]]

Past versions of budget_MLR_regions_fig-6.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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
42e80c0	jens-daniel-mueller	2021-08-04

[[7]]

Past versions of budget_MLR_regions_fig-7.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	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

dcant_budget_basin_MLR_cstar %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  group_by(MLR_basins) %>%
  group_split() %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(basin, value, fill = method)) +
      scale_fill_brewer(palette = "Dark2") +
      geom_col() +
      facet_grid(estimate ~ data_source) +
      labs(title = paste("MLR_basins:", unique(.x$MLR_basins)))
  )

[[1]]

Past versions of budget_MLR_regions_fig_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[2]]

Past versions of budget_MLR_regions_fig_cstar-2.png

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a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[3]]

Past versions of budget_MLR_regions_fig_cstar-3.png

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a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[4]]

Past versions of budget_MLR_regions_fig_cstar-4.png

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a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[5]]

Past versions of budget_MLR_regions_fig_cstar-5.png

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a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[6]]

Past versions of budget_MLR_regions_fig_cstar-6.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[7]]

Past versions of budget_MLR_regions_fig_cstar-7.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

dcant_budget_lat_grid <- 
  dcant_inv %>% 
  m_grid_horizontal_coarse() %>%
  group_by(lat_grid, basin_AIP) %>% 
  nest() %>%
  mutate(budget = map(.x = data, ~ m_dcant_budget(.x))) %>%
  select(-data) %>%
  unnest(budget)

dcant_budget_lat_grid_cstar <- 
  dcant_inv_cstar %>% 
  m_grid_horizontal_coarse() %>%
  group_by(lat_grid, basin_AIP) %>% 
  nest() %>%
  mutate(budget = map(.x = data, ~ m_dcant_budget(.x))) %>%
  select(-data) %>%
  unnest(budget)

dcant_budget_lat_grid %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  group_by(basin_AIP) %>%
  group_split() %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(lat_grid, value, fill = method)) +
      scale_fill_brewer(palette = "Dark2") +
      geom_col() +
      coord_flip() +
      facet_grid(estimate ~ data_source) +
      labs(title = paste("MLR_basins:", unique(.x$basin_AIP)))
  )

[[1]]

Past versions of budget_lat_grid_fig-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
0b00a2b	jens-daniel-mueller	2021-08-09
cd8e0d5	jens-daniel-mueller	2021-08-06
15773a0	jens-daniel-mueller	2021-08-06
340d731	jens-daniel-mueller	2021-08-06
71546e4	jens-daniel-mueller	2021-08-06
42e80c0	jens-daniel-mueller	2021-08-04

[[2]]

Past versions of budget_lat_grid_fig-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
00fc082	jens-daniel-mueller	2021-08-09

[[3]]

Past versions of budget_lat_grid_fig-3.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
00fc082	jens-daniel-mueller	2021-08-09

dcant_budget_lat_grid_cstar %>%
  filter(inv_depth == params_global$inventory_depth_standard,
         method %in% c("surface", "eMLR")) %>%
  group_by(basin_AIP) %>%
  group_split() %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(lat_grid, value, fill = method)) +
      scale_fill_brewer(palette = "Dark2") +
      geom_col() +
      coord_flip() +
      facet_grid(estimate ~ data_source) +
      labs(title = paste("MLR_basins:", unique(.x$basin_AIP)))
  )

[[1]]

Past versions of budget_lat_grid_fig_cstar-1.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[2]]

Past versions of budget_lat_grid_fig_cstar-2.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

[[3]]

Past versions of budget_lat_grid_fig_cstar-3.png

Version	Author	Date
a03f2f0	jens-daniel-mueller	2021-08-18
17518ad	jens-daniel-mueller	2021-08-09
00fc082	jens-daniel-mueller	2021-08-09

6 Write csv

dcant_3d <- dcant_3d %>%
  select(-c(tcant_tref_1))

dcant_3d %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_3d_mod_truth.csv", sep = ""))

dcant_3d %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_3d_mod_truth_cc.csv", sep = ""))


dcant_zonal %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_zonal_mod_truth.csv", sep = ""))

dcant_zonal_method %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_zonal_mod_truth_method.csv", sep = ""))

dcant_zonal %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_zonal_mod_truth_cc.csv", sep = ""))

dcant_zonal_method %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_zonal_mod_truth_cc_method.csv", sep = ""))


dcant_inv %>%
  filter(data_source == "mod_truth",
         method == "total") %>%
  write_csv(paste(path_version_data,
                  "dcant_inv_mod_truth.csv", sep = ""))

dcant_inv %>%
  filter(data_source == "mod_truth_cc",
         method == "total") %>%
  write_csv(paste(path_version_data,
                  "dcant_inv_mod_truth_cc.csv", sep = ""))

dcant_inv %>%
  filter(data_source == "mod_truth",
         method != "total") %>%
  write_csv(paste(path_version_data,
                  "dcant_inv_mod_truth_method.csv", sep = ""))

dcant_inv %>%
  filter(data_source == "mod_truth_cc",
         method != "total") %>%
  write_csv(paste(path_version_data,
                  "dcant_inv_mod_truth_cc_method.csv", sep = ""))



dcant_budget_global %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_global_mod_truth.csv", sep = ""))

dcant_budget_global %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_global_mod_truth_cc.csv", sep = ""))

dcant_budget_basin_AIP %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_basin_AIP_mod_truth.csv", sep = ""))

dcant_budget_basin_AIP %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_basin_AIP_mod_truth_cc.csv", sep = ""))

dcant_budget_basin_MLR %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_basin_MLR_mod_truth.csv", sep = ""))

dcant_budget_basin_MLR %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_basin_MLR_mod_truth_cc.csv", sep = ""))

dcant_budget_lat_grid %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_lat_grid_mod_truth.csv", sep = ""))

dcant_budget_lat_grid %>%
  filter(data_source == "mod_truth_cc") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_lat_grid_mod_truth_cc.csv", sep = ""))

dcant_3d_cstar %>%
  write_csv(paste(path_version_data,
                  "dcant_3d_cstar.csv", sep = ""))

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

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

dcant_inv_cstar %>%
  filter(method == "total") %>%
  write_csv(paste(path_version_data,
                  "dcant_inv_cstar.csv", sep = ""))

dcant_inv_cstar %>%
  filter(method != "total") %>%
  write_csv(paste(path_version_data,
                  "dcant_inv_method_cstar.csv", sep = ""))

dcant_budget_global_cstar %>%
  filter(data_source == "mod_truth") %>%
  write_csv(paste(path_version_data,
                  "dcant_budget_global_cstar.csv", sep = ""))


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


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


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

Session information

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

loaded via a namespace (and not attached):
 [1] fs_1.5.0                 lubridate_1.7.9          gsw_1.0-5               
 [4] RColorBrewer_1.1-2       httr_1.4.2               rprojroot_2.0.2         
 [7] tools_4.0.3              backports_1.1.10         utf8_1.1.4              
[10] R6_2.5.0                 DBI_1.1.0                colorspace_2.0-2        
[13] withr_2.3.0              tidyselect_1.1.0         compiler_4.0.3          
[16] git2r_0.27.1             cli_3.0.1                rvest_0.3.6             
[19] xml2_1.3.2               isoband_0.2.2            labeling_0.4.2          
[22] scales_1.1.1             checkmate_2.0.0          digest_0.6.27           
[25] rmarkdown_2.10           oce_1.2-0                pkgconfig_2.0.3         
[28] htmltools_0.5.0          highr_0.8                dbplyr_1.4.4            
[31] rlang_0.4.10             readxl_1.3.1             rstudioapi_0.13         
[34] farver_2.0.3             generics_0.1.0           jsonlite_1.7.1          
[37] magrittr_1.5             Matrix_1.2-18            Rcpp_1.0.5              
[40] munsell_0.5.0            fansi_0.4.1              lifecycle_1.0.0         
[43] stringi_1.5.3            whisker_0.4              yaml_2.2.1              
[46] MASS_7.3-53              grid_4.0.3               blob_1.2.1              
[49] parallel_4.0.3           promises_1.1.1           crayon_1.3.4            
[52] lattice_0.20-41          haven_2.3.1              hms_0.5.3               
[55] seacarb_3.2.14           knitr_1.33               pillar_1.6.2            
[58] reprex_0.3.0             glue_1.4.2               evaluate_0.14           
[61] RcppArmadillo_0.10.1.2.0 data.table_1.14.0        modelr_0.1.8            
[64] vctrs_0.3.8              tweenr_1.0.2             httpuv_1.5.4            
[67] testthat_2.3.2           cellranger_1.1.0         gtable_0.3.0            
[70] polyclip_1.10-0          assertthat_0.2.1         xfun_0.25               
[73] broom_0.7.5              RcppEigen_0.3.3.7.0      later_1.2.0             
[76] viridisLite_0.3.0        ellipsis_0.3.2           here_0.1