OceanSODA - ETHZ

workflowr

• Summary
• Checks
• Past versions

Last updated: 2022-04-01

Checks: 7 0

Knit directory: emlr_obs_preprocessing/

This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

---

R Markdown file: up-to-date

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.

Environment: empty

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.

Seed: set.seed(20200707)

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.

Session information: recorded

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

Cache: none

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

File paths: relative

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

Repository version: d23e425

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 d23e425. 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/
    Ignored:    data/
    Ignored:    output/

Untracked files:
    Untracked:  code/IO_1990_own_crossover_analysis_backup.R
    Untracked:  code/analysis_regional_clusters.Rmd
    Untracked:  code/read_GLODAPv2_2020.Rmd

Unstaged changes:
    Modified:   analysis/_site.yml
    Deleted:    analysis/analysis_regional_clusters.Rmd
    Modified:   code/Workflowr_project_managment.R

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/read_OceanSODA.Rmd) and HTML (docs/read_OceanSODA.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	569e06b	jens-daniel-mueller	2022-04-01	Build site.
Rmd	fdb43d3	jens-daniel-mueller	2022-04-01	rerun all including arctic and North Atlantic biome
html	6e65117	jens-daniel-mueller	2022-02-16	Build site.
Rmd	fc1cf80	jens-daniel-mueller	2022-02-15	rerun with flux products
html	a36645f	jens-daniel-mueller	2021-12-23	Build site.
Rmd	513243c	jens-daniel-mueller	2021-12-23	plot regional time series and moving average
html	8cc98a8	jens-daniel-mueller	2021-12-13	Build site.
Rmd	bab6472	jens-daniel-mueller	2021-12-13	decadal climatology offset added
html	b6d0770	jens-daniel-mueller	2021-12-13	Build site.
Rmd	cb88dbc	jens-daniel-mueller	2021-12-13	decadal climatology added
html	d6c2d11	jens-daniel-mueller	2021-11-22	Build site.
Rmd	5d9ebb2	jens-daniel-mueller	2021-11-22	calculate revelle factor historical
html	f2871b9	jens-daniel-mueller	2021-11-20	Build site.
html	0908ee5	jens-daniel-mueller	2021-11-15	Build site.
html	002b89c	jens-daniel-mueller	2021-10-06	Build site.
Rmd	2f78646	jens-daniel-mueller	2021-10-06	OceanSODA read-in updated
html	767aa26	jens-daniel-mueller	2021-10-06	Build site.
Rmd	5ed301b	jens-daniel-mueller	2021-10-06	OceanSODA read-in updated
html	3a99e0b	jens-daniel-mueller	2021-10-05	Build site.
Rmd	f36c707	jens-daniel-mueller	2021-10-05	OceanSODA read-in updated
html	5db29f4	jens-daniel-mueller	2021-10-05	Build site.
Rmd	caf8c9a	jens-daniel-mueller	2021-10-05	OceanSODA read-in updated
html	e49875a	jens-daniel-mueller	2021-07-07	Build site.
html	6312bd4	jens-daniel-mueller	2021-07-07	Build site.
html	58bc706	jens-daniel-mueller	2021-07-06	Build site.
html	f600971	jens-daniel-mueller	2021-07-02	Build site.
html	ad81465	jens-daniel-mueller	2021-06-17	Build site.
Rmd	3bc04be	jens-daniel-mueller	2021-06-17	derive air sea disequilibrium
html	240c1f4	jens-daniel-mueller	2021-06-07	Build site.
Rmd	2730067	jens-daniel-mueller	2021-06-07	write preprocessed file
html	4df00b5	jens-daniel-mueller	2021-06-07	Build site.
Rmd	f16f718	jens-daniel-mueller	2021-06-07	added multi parameter analysis global trends
html	8186273	jens-daniel-mueller	2021-06-07	Build site.
Rmd	663eb4d	jens-daniel-mueller	2021-06-07	added multi parameter analysis
html	efc80ab	jens-daniel-mueller	2021-06-07	Build site.
Rmd	0f42222	jens-daniel-mueller	2021-06-07	improved revelle factor analysis
html	265c4ef	jens-daniel-mueller	2021-06-04	Build site.
Rmd	00065c8	jens-daniel-mueller	2021-06-04	included OceanSODA

---

1 Read source files

basinmask_5 <- basinmask %>% 
  filter(MLR_basins == "5") %>% 
  select(lat, lon, basin)

basinmask <- basinmask %>% 
  filter(MLR_basins == "4") %>% 
  select(lat, lon, basin_AIP)

1.1 OceanSODA

OceanSODA <-
  tidync(paste(
    path_updata,
    "pco2_oceansoda-ethz/OS-ETHZ-GRaCER-v2021a_1982-2020.nc",
    sep = ""
  ))

OceanSODA <- OceanSODA %>%
  hyper_tibble()

OceanSODA <- OceanSODA %>%
  mutate(date = as.Date(time, origin = '1982-01-15'),
         year = year(date))

OceanSODA <- OceanSODA %>%
  select(year, date, lat, lon,
         sal = salinity, temp = temperature,
         tco2 = dic, talk, 
         rev_fac = revelle_factor,
         pCO2 = spco2,
         fgco2)

1.2 SeaFlux

path_SeaFlux <- 
paste0(path_updata,"pco2_seaflux/")

ice <-
  tidync(paste0(path_SeaFlux,
                "SeaFlux_v2021.04_ice_1982-2020.nc")) %>% 
  hyper_tibble()

ice <- ice %>%
  mutate(date = as.Date(time, origin = '1982-01-15'),
         year = year(date))

kw <-
  tidync(paste0(path_SeaFlux,
                "SeaFlux_v2021.04_kw_quadratic_scaled_1982-2020.nc"))

kw <- kw %>% 
  hyper_filter(wind = wind == "ERA5") %>% 
  hyper_tibble() %>% 
  select(-wind)


pCO2atm <-
  tidync(paste0(path_SeaFlux,
                "SeaFlux_v2021.04_pco2atm_1982-2020.nc")) %>% 
  hyper_tibble()

sol <-
  tidync(paste0(path_SeaFlux,
                "SeaFlux_v2021.04_solWeis74_1982-2020.nc")) %>% 
  hyper_tibble()

1.3 Join data

all_variables <- full_join(ice, kw)
all_variables <- full_join(all_variables, pCO2atm)
all_variables <- full_join(all_variables, sol)

OceanSODA <- inner_join(all_variables,
                        OceanSODA)

OceanSODA <- OceanSODA %>%
  mutate(lon = if_else(lon < 20, lon + 360, lon))

OceanSODA <- inner_join(OceanSODA, basinmask)

OceanSODA <- OceanSODA %>% 
  select(-time)

1.4 Atm pCO2

# Note: this file is only created downstream in read_CO2_atm.Rmd
co2_atm_reccap2 <-
  read_csv(paste(path_preprocessing,
                 "co2_atm_reccap2.csv",
                 sep = ""))

2 Air-sea disequilibrium

all_variables <- OceanSODA %>%
  select(
    time_mon = date,
    lon,
    lat,
    spco2 = pCO2,
    pco2atm = pco2atm,
    fice = ice,
    alpha = sol,
    Kw = kw
  ) %>%
  drop_na()

all_variables <- all_variables %>%
  mutate(area = earth_surf(lat = lat))

mol_to_g <- 12.011
P <- 1e-15
cm_to_m <- 100
hr_to_yr <- 24 * 365

unit_conversion_to_PgCyr <- mol_to_g * P * hr_to_yr / cm_to_m

all_variables <- all_variables %>%
  mutate(
    delta_pco2 = spco2 - pco2atm,
    scale = area * Kw * alpha * (1 - fice),
    fgco2 = delta_pco2 * scale
  )

delta_pco2_monthly <- all_variables %>%
  group_by(time_mon) %>%
  summarise(
    scaling_glob = sum(scale),
    fgco2_glob = sum(fgco2),
    delta_pco2_glob = fgco2_glob / scaling_glob
  ) %>%
  ungroup() %>%
  mutate(fgco2_glob = fgco2_glob * unit_conversion_to_PgCyr)

delta_pco2_annual <- delta_pco2_monthly %>%
  mutate(year = year(time_mon)) %>%
  group_by(year) %>%
  summarise(
    scaling_glob = mean(scaling_glob),
    fgco2_glob = mean(fgco2_glob),
    delta_pco2_glob = mean(delta_pco2_glob)
  ) %>%
  ungroup()

delta_pco2_annual <- delta_pco2_annual %>%
  mutate(fgco2_glob_roll = zoo::rollmean(fgco2_glob, 10, fill = NA))


ggplot() +
  geom_path(data = delta_pco2_monthly,
            aes(decimal_date(time_mon), delta_pco2_glob, col = "monthly")) +
  geom_path(data = delta_pco2_annual,
            aes(year, delta_pco2_glob, col = "annual")) +
  scale_color_brewer(palette = "Set1", name = "Average") +
  labs(x = "year")

Past versions of air_sea_disequilibrium-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
d6c2d11	jens-daniel-mueller	2021-11-22
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17

ggplot() +
  geom_path(data = delta_pco2_monthly,
            aes(decimal_date(time_mon), fgco2_glob, col = "monthly")) +
  geom_path(data = delta_pco2_annual,
            aes(year, fgco2_glob, col = "annual")) +
  geom_path(data = delta_pco2_annual,
            aes(year, fgco2_glob_roll, col = "5yr roll ave")) +
  scale_color_brewer(palette = "Set1", name = "Average") +
  labs(x = "year")

Past versions of air_sea_disequilibrium-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23
d6c2d11	jens-daniel-mueller	2021-11-22
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17

ggplot() +
  geom_path(data = delta_pco2_annual,
            aes(year,
                scaling_glob * unit_conversion_to_PgCyr))

Past versions of air_sea_disequilibrium-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
d6c2d11	jens-daniel-mueller	2021-11-22
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17

ggplot() +
  geom_path(
    data = delta_pco2_annual,
    aes(
      year,
      scaling_glob * delta_pco2_glob * unit_conversion_to_PgCyr,
      col = "scaled"
    )
  ) +
  geom_path(data = delta_pco2_annual,
            aes(year, fgco2_glob, col = "integrated")) +
  scale_color_brewer(palette = "Set1", name = "Estimate") +
  scale_y_continuous(name = "Air-sea flux [PgC yr-1]") +
  labs(x = "year")

Past versions of air_sea_disequilibrium-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
d6c2d11	jens-daniel-mueller	2021-11-22
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17

3 Compute climatologies

# calculate annual averaged fields
OceanSODA_annual_all <- OceanSODA %>%
  mutate(tco2_over_pCO2 = tco2 / pCO2) %>%
  group_by(year, lat, lon) %>%
  summarise_if(is.numeric, mean, na.rm = TRUE) %>%
  ungroup() %>%
  mutate(grid_area = earth_surf(lat = lat))

# grid data in space and time, remove data outside grid
OceanSODA_annual <- OceanSODA_annual_all %>%
  mutate(
    grid_area = earth_surf(lat = lat),
    lat_bands = cut(lat, seq(-80, 80, 20)),
    decade = cut(year,
                 seq(1990, 2020, 10),
                 right = FALSE,
                 labels = c("1990-1999", "2000-2009", "2010-2019"))
  ) %>%
  drop_na()


# calculate climatological fields
OceanSODA_clim <- OceanSODA_annual %>%
  select(-c(grid_area)) %>% 
  group_by(lat, lon) %>%
  summarise_if(is.numeric, mean, na.rm = TRUE) %>% 
  ungroup()

# calculate decadal climatological fields
OceanSODA_clim_decadal <- OceanSODA_annual %>%
  select(-c(grid_area)) %>% 
  group_by(lat, lon, decade) %>%
  summarise_if(is.numeric, mean, na.rm = TRUE) %>% 
  ungroup()


# calculate area-weighted annual mean within latitude band 
OceanSODA_annual_lat <- OceanSODA_annual %>%
  pivot_longer(sal:tco2_over_pCO2,
               names_to = "parameter",
               values_to = "value") %>%
  mutate(value_area = value * grid_area) %>% 
  group_by(year, lat_bands, decade, parameter) %>%
  summarise(
    area_total = sum(grid_area),
    value_area_total = sum(value_area),
    value_area_ave = value_area_total / area_total
  ) %>%
  ungroup() %>% 
  select(-c(area_total,value_area_total))


# fit decadel linear trends per latitude band
OceanSODA_annual_lat_trend <- OceanSODA_annual_lat %>% 
  nest(data = -c(decade, lat_bands, parameter)) %>% 
  mutate(tidy = map(data,
                    ~tidy(lm(value_area_ave ~ year, data = .x)))) %>% 
  select(-data) %>% 
  unnest(tidy)


# calculate area-weighted annual mean globally
OceanSODA_annual_glob <- OceanSODA_annual %>%
  pivot_longer(sal:tco2_over_pCO2,
               names_to = "parameter",
               values_to = "value") %>%
  mutate(value_area = value * grid_area) %>% 
  group_by(year, decade, parameter) %>%
  summarise(
    area_total = sum(grid_area),
    value_area_total = sum(value_area),
    value_area_ave = value_area_total / area_total
  ) %>%
  ungroup() %>% 
  select(-c(area_total,value_area_total))


# fit decadel linear trends globally
OceanSODA_annual_glob_trend <- OceanSODA_annual_glob %>% 
  nest(data = -c(decade, parameter)) %>% 
  mutate(tidy = map(data,
                    ~tidy(lm(value_area_ave ~ year, data = .x)))) %>% 
  select(-data) %>% 
  unnest(tidy)


#regionall integrated air sea fluxes

OceanSODA_annual_5 <- left_join(basinmask_5,
                                OceanSODA_annual_all)

# calculate area-weighted annual mean globally
OceanSODA_annual_5 <- OceanSODA_annual_5 %>%
  pivot_longer(sal:tco2_over_pCO2,
               names_to = "parameter",
               values_to = "value") %>%
  mutate(value_area = value * grid_area) %>% 
  group_by(year, parameter, basin) %>%
  summarise(
    area_total = sum(grid_area, na.rm = TRUE),
    value_area_total = sum(value_area, na.rm = TRUE),
    value_area_ave = value_area_total / area_total
  ) %>%
  ungroup() %>% 
  select(-c(area_total,value_area_total))

map + 
  geom_tile(data = OceanSODA_clim,
            aes(lon, lat, fill = as.factor(year)))

Past versions of revelle_factor_time_series-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
d6c2d11	jens-daniel-mueller	2021-11-22

pco2_atm_2004 <- co2_atm_reccap2 %>% 
  filter(year == 2004) %>% 
  pull(pCO2)

co2_atm_reccap2 <- co2_atm_reccap2 %>% 
  mutate(delta_pCO2_hist = pCO2 - pco2_atm_2004)

co2_atm_reccap2_decade <- co2_atm_reccap2 %>% 
  filter(year > 1900) %>% 
  mutate(year = ymd(paste(year, "-06-01"))) %>% 
  mutate(decade = floor_date(year, years(10))) %>% 
  group_by(decade) %>% 
  summarise(delta_pCO2_hist = mean(delta_pCO2_hist)) %>% 
  ungroup()

co2_atm_reccap2_decade %>% 
  ggplot(aes(decade, delta_pCO2_hist)) +
  geom_point() +
  geom_path()

Past versions of revelle_factor_time_series-2.png

Version	Author	Date
d6c2d11	jens-daniel-mueller	2021-11-22

OceanSODA_revelle_hist <- expand_grid(
  co2_atm_reccap2_decade,
  OceanSODA_clim
)

OceanSODA_revelle_hist <- OceanSODA_revelle_hist %>% 
  mutate(pCO2 = pCO2 + delta_pCO2_hist)

map + 
  geom_tile(data = OceanSODA_revelle_hist,
            aes(lon, lat, fill = pCO2)) +
  facet_wrap(~ decade) +
  scale_fill_viridis_c()

Past versions of revelle_factor_time_series-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
d6c2d11	jens-daniel-mueller	2021-11-22

OceanSODA_revelle_hist <- OceanSODA_revelle_hist %>% 
  mutate(
    rev_fac = buffer(
      flag = 24,
      var1 = pCO2,
      var2 = talk * 1e-6,
      S = sal,
      T = temp,
      P = 0,
      k1k2 = "l"
    )$BetaD
  )

map + 
  geom_tile(data = OceanSODA_revelle_hist,
            aes(lon, lat, fill = rev_fac)) +
  facet_wrap(~ decade) +
  scale_fill_viridis_c()

Past versions of revelle_factor_time_series-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
6e65117	jens-daniel-mueller	2022-02-16
b6d0770	jens-daniel-mueller	2021-12-13
d6c2d11	jens-daniel-mueller	2021-11-22

OceanSODA_revelle_hist_time_series <- OceanSODA_revelle_hist %>% 
  mutate(area = earth_surf(lat, lon),
         rev_fac_scaled = rev_fac * area) %>% 
  group_by(decade) %>% 
  summarise(rev_fac = sum(rev_fac_scaled) / sum(area)) %>% 
  ungroup()

OceanSODA_revelle_hist_time_series %>% 
  ggplot(aes(decade, rev_fac))+
  geom_point() + 
  geom_path()

Past versions of revelle_factor_time_series-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
6e65117	jens-daniel-mueller	2022-02-16
b6d0770	jens-daniel-mueller	2021-12-13
d6c2d11	jens-daniel-mueller	2021-11-22

4 Write files

OceanSODA_annual_all %>%
  write_csv(paste0(path_preprocessing,
                   "OceanSODA.csv"))

OceanSODA_clim %>%
  write_csv(paste0(path_preprocessing,
                   "OceanSODA_climatology.csv"))

OceanSODA_revelle_hist_time_series %>%
  write_csv(paste0(path_preprocessing,
                   "OceanSODA_revelle_hist_time_series.csv"))

delta_pco2_annual %>%
  select(-c(scaling_glob, fgco2_glob)) %>%
  write_csv(paste0(path_preprocessing,
                   "OceanSODA_disequilibrium_annual.csv"))

5 Control plots

map +
  geom_raster(data = OceanSODA_annual %>%
                filter(year == 2010), aes(lon, lat, fill = lat_bands)) +
  scale_fill_brewer(palette = "Spectral") +
  labs(title = "Year: 2010")

Past versions of OceanSODA_control_plots-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07
8186273	jens-daniel-mueller	2021-06-07

map +
  geom_raster(data = OceanSODA_annual %>%
                filter(year == 2010), aes(lon, lat, fill = grid_area)) +
  scale_fill_viridis_c() +
  labs(title = "Year: 2010")

Past versions of OceanSODA_control_plots-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07
8186273	jens-daniel-mueller	2021-06-07

6 Maps

6.1 Climatology

unique(OceanSODA_clim$year)

[1] 2004.500 2004.310 2004.345 2004.276 2004.143 2004.552 2004.379 2004.000
[9] 2001.842

OceanSODA_clim %>%
  pivot_longer(sal:tco2_over_pCO2,
               names_to = "parameter",
               values_to = "value") %>%
  group_split(parameter) %>%
  # head(1) %>%
  map( ~ map +
         geom_raster(data = .x,
                     aes(lon, lat, fill = value)) +
         scale_fill_viridis_c(name = unique(.x$parameter)))

[[1]]

Past versions of climatology_maps-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[2]]

Past versions of climatology_maps-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[3]]

Past versions of climatology_maps-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[4]]

Past versions of climatology_maps-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[5]]

Past versions of climatology_maps-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[6]]

Past versions of climatology_maps-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[7]]

Past versions of climatology_maps-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[8]]

Past versions of climatology_maps-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

6.2 Decadal climatology

OceanSODA_clim_decadal %>%
  pivot_longer(sal:tco2_over_pCO2,
               names_to = "parameter",
               values_to = "value") %>%
  group_split(parameter) %>%
  # head(1) %>%
  map( ~ map +
         geom_raster(data = .x,
                     aes(lon, lat, fill = value)) +
         scale_fill_viridis_c(name = unique(.x$parameter)) +
         facet_grid(decade ~ .))

[[1]]

Past versions of climatology_maps_decadal-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[2]]

Past versions of climatology_maps_decadal-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[3]]

Past versions of climatology_maps_decadal-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[4]]

Past versions of climatology_maps_decadal-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[5]]

Past versions of climatology_maps_decadal-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[6]]

Past versions of climatology_maps_decadal-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[7]]

Past versions of climatology_maps_decadal-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[8]]

Past versions of climatology_maps_decadal-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

6.3 Decadal offset climatology

OceanSODA_clim_decadal_offset <- bind_rows(
  OceanSODA_clim_decadal,
  OceanSODA_clim %>% 
    mutate(decade = "value_clim")
)

OceanSODA_clim_decadal_offset <- OceanSODA_clim_decadal_offset %>% 
  pivot_longer(sal:tco2_over_pCO2,
               names_to = "parameter",
               values_to = "value") %>% 
  select(lat, lon, decade, parameter, value) %>% 
  pivot_wider(names_from = decade,
              values_from = value) %>% 
  pivot_longer(4:6,
               names_to = "decade",
               values_to = "value_decade") %>% 
  mutate(offset = value_decade - value_clim)

OceanSODA_clim_decadal_offset %>%
  group_split(parameter) %>%
  # head(1) %>%
  map( ~ map +
         geom_raster(data = .x,
                     aes(lon, lat, fill = offset)) +
         scale_fill_divergent(name = unique(.x$parameter)) +
         facet_grid(decade ~ .))

[[1]]

Past versions of climatology_maps_decadal_offset-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[2]]

Past versions of climatology_maps_decadal_offset-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[3]]

Past versions of climatology_maps_decadal_offset-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[4]]

Past versions of climatology_maps_decadal_offset-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[5]]

Past versions of climatology_maps_decadal_offset-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[6]]

Past versions of climatology_maps_decadal_offset-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[7]]

Past versions of climatology_maps_decadal_offset-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

[[8]]

Past versions of climatology_maps_decadal_offset-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
8cc98a8	jens-daniel-mueller	2021-12-13

7 Time series

7.1 5 regions

OceanSODA_annual_5 %>%
  group_split(parameter) %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(year, value_area_ave, col = basin)) +
      scale_color_brewer(palette = "Set1") +
      geom_path() +
      geom_point() +
      labs(y = .x$parameter)
  )

[[1]]

Past versions of time_series_5_regions-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[2]]

Past versions of time_series_5_regions-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[3]]

Past versions of time_series_5_regions-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[4]]

Past versions of time_series_5_regions-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[5]]

Past versions of time_series_5_regions-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[6]]

Past versions of time_series_5_regions-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[7]]

Past versions of time_series_5_regions-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

[[8]]

Past versions of time_series_5_regions-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
a36645f	jens-daniel-mueller	2021-12-23

7.2 Lat bands

OceanSODA_annual_lat %>%
  group_split(parameter) %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(year, value_area_ave, col = lat_bands)) +
      scale_color_brewer(palette = "Spectral") +
      geom_path() +
      geom_point() +
      labs(y = .x$parameter)
  )

[[1]]

Past versions of time_series-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[2]]

Past versions of time_series-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[3]]

Past versions of time_series-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[4]]

Past versions of time_series-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[5]]

Past versions of time_series-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[6]]

Past versions of time_series-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[7]]

Past versions of time_series-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
8186273	jens-daniel-mueller	2021-06-07

[[8]]

Past versions of time_series-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

8 Decadel trends

8.1 Global

OceanSODA_annual_glob %>%
  group_split(parameter) %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(year, value_area_ave, col = decade)) +
      scale_color_brewer(palette = "Set1") +
      geom_point() +
      labs(y = .x$parameter) +
      geom_smooth(method = "lm", se = FALSE)
  )

[[1]]

Past versions of decadel_trends_glob-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[2]]

Past versions of decadel_trends_glob-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[3]]

Past versions of decadel_trends_glob-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[4]]

Past versions of decadel_trends_glob-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[5]]

Past versions of decadel_trends_glob-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[6]]

Past versions of decadel_trends_glob-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[7]]

Past versions of decadel_trends_glob-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[8]]

Past versions of decadel_trends_glob-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

OceanSODA_annual_glob_trend %>%
  filter(term == "year") %>%
  group_split(parameter) %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(decade, estimate)) +
      scale_fill_brewer(palette = "Spectral") +
      geom_point(shape = 21) +
      geom_path() +
      labs(y = paste(.x$parameter, "annual change"))
  )

[[1]]

Past versions of decadel_trends_glob-9.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[2]]

Past versions of decadel_trends_glob-10.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[3]]

Past versions of decadel_trends_glob-11.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[4]]

Past versions of decadel_trends_glob-12.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[5]]

Past versions of decadel_trends_glob-13.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[6]]

Past versions of decadel_trends_glob-14.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[7]]

Past versions of decadel_trends_glob-15.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[8]]

Past versions of decadel_trends_glob-16.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

8.2 Latitude bands

OceanSODA_annual_lat %>%
  group_split(parameter) %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(year, value_area_ave, col = decade)) +
      scale_color_brewer(palette = "Set1") +
      geom_point() +
      labs(y = .x$parameter) +
      geom_smooth(method = "lm", se = FALSE) +
      facet_wrap( ~ lat_bands)
  )

[[1]]

Past versions of decadel_trends_lat-1.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[2]]

Past versions of decadel_trends_lat-2.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[3]]

Past versions of decadel_trends_lat-3.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[4]]

Past versions of decadel_trends_lat-4.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[5]]

Past versions of decadel_trends_lat-5.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[6]]

Past versions of decadel_trends_lat-6.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[7]]

Past versions of decadel_trends_lat-7.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[8]]

Past versions of decadel_trends_lat-8.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

OceanSODA_annual_lat_trend %>%
  filter(term == "year") %>%
  group_split(parameter) %>%
  # head(1) %>%
  map(
    ~ ggplot(data = .x,
             aes(decade, estimate, fill = lat_bands)) +
      scale_fill_brewer(palette = "Spectral") +
      geom_point(shape = 21) +
      geom_path() +
      labs(y = paste(.x$parameter, "annual change"))
  )

[[1]]

Past versions of decadel_trends_lat-9.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[2]]

Past versions of decadel_trends_lat-10.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[3]]

Past versions of decadel_trends_lat-11.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[4]]

Past versions of decadel_trends_lat-12.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[5]]

Past versions of decadel_trends_lat-13.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[6]]

Past versions of decadel_trends_lat-14.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13
002b89c	jens-daniel-mueller	2021-10-06
767aa26	jens-daniel-mueller	2021-10-06
3a99e0b	jens-daniel-mueller	2021-10-05
5db29f4	jens-daniel-mueller	2021-10-05
ad81465	jens-daniel-mueller	2021-06-17
4df00b5	jens-daniel-mueller	2021-06-07

[[7]]

Past versions of decadel_trends_lat-15.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

[[8]]

Past versions of decadel_trends_lat-16.png

Version	Author	Date
569e06b	jens-daniel-mueller	2022-04-01
b6d0770	jens-daniel-mueller	2021-12-13

Session information

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] zoo_1.8-9        seacarb_3.3.0    SolveSAPHE_2.1.0 oce_1.5-0       
 [5] gsw_1.0-6        broom_0.7.11     marelac_2.1.10   shape_1.4.6     
 [9] lubridate_1.8.0  tidync_0.2.4     ggforce_0.3.3    metR_0.11.0     
[13] scico_1.3.0      patchwork_1.1.1  collapse_1.7.0   forcats_0.5.1   
[17] stringr_1.4.0    dplyr_1.0.7      purrr_0.3.4      readr_2.1.1     
[21] tidyr_1.1.4      tibble_3.1.6     ggplot2_3.3.5    tidyverse_1.3.1 
[25] workflowr_1.7.0 

loaded via a namespace (and not attached):
 [1] nlme_3.1-155       fs_1.5.2           bit64_4.0.5        RColorBrewer_1.1-2
 [5] httr_1.4.2         rprojroot_2.0.2    tools_4.1.2        backports_1.4.1   
 [9] bslib_0.3.1        utf8_1.2.2         R6_2.5.1           mgcv_1.8-38       
[13] DBI_1.1.2          colorspace_2.0-2   withr_2.4.3        tidyselect_1.1.1  
[17] processx_3.5.2     bit_4.0.4          compiler_4.1.2     git2r_0.29.0      
[21] cli_3.1.1          rvest_1.0.2        RNetCDF_2.5-2      xml2_1.3.3        
[25] labeling_0.4.2     sass_0.4.0         scales_1.1.1       checkmate_2.0.0   
[29] callr_3.7.0        digest_0.6.29      rmarkdown_2.11     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     ncmeta_0.3.0       Matrix_1.4-0       Rcpp_1.0.8        
[49] munsell_0.5.0      fansi_1.0.2        lifecycle_1.0.1    stringi_1.7.6     
[53] whisker_0.4        yaml_2.2.1         MASS_7.3-55        grid_4.1.2        
[57] parallel_4.1.2     promises_1.2.0.1   crayon_1.4.2       lattice_0.20-45   
[61] splines_4.1.2      haven_2.4.3        hms_1.1.1          knitr_1.37        
[65] ps_1.6.0           pillar_1.6.4       reprex_2.0.1       glue_1.6.0        
[69] evaluate_0.14      getPass_0.2-2      data.table_1.14.2  modelr_0.1.8      
[73] vctrs_0.3.8        tzdb_0.2.0         tweenr_1.0.2       httpuv_1.6.5      
[77] cellranger_1.1.0   gtable_0.3.0       polyclip_1.10-0    assertthat_0.2.1  
[81] xfun_0.29          later_1.3.0        viridisLite_0.4.0  ncdf4_1.19        
[85] ellipsis_0.3.2