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Overview

This document contains a summary of the data products produced for WP1 of the FACE-IT project. These data are available to all FACE-IT members via password protected pCloud access. These data are also used in the meta-analysis review of the key drivers of change to arctic fjord ecosystems, which is a 24 month (October, 2022) deliverable.

Svalbard

Kongsfjorden

High level summary of data available for Kongsfjorden.

Figure 1: High level overview of the data available for Kongsfjorden. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are no social data for Kongsfjorden). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.
Figure 1: High level overview of the data available for Kongsfjorden. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are no social data for Kongsfjorden). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.

Monthly average values for temperature and salinity data. These are taken as illustrative figures for the data that are likely available per month as they are generally the two most highly sampled variables in marine science.

Figure 2: Monthly climatologies for data at Kongsfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Kongsfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Kongsfjorden. Note the much higher salinity for February and how most of the values are much lower than would be assumed. Probably due to a different sort of salinity calculation being used. D) Spatial surface (0 to 10 m) salinity climatologies.
Figure 2: Monthly climatologies for data at Kongsfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Kongsfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Kongsfjorden. Note the much higher salinity for February and how most of the values are much lower than would be assumed. Probably due to a different sort of salinity calculation being used. D) Spatial surface (0 to 10 m) salinity climatologies.

Trends in temperature and salinity data.

Figure 3: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. There also appear to be two different types of salinity measurements. A long record of values close to 20 and a more recent addition of higher values around 32-35. One assumes that the lower values are measures of runoff and not proper ocean water.
Figure 3: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. There also appear to be two different types of salinity measurements. A long record of values close to 20 and a more recent addition of higher values around 32-35. One assumes that the lower values are measures of runoff and not proper ocean water.

Isfjorden

High level summary of data available for Isfjorden.

Figure 4: High level overview of the data available for Isfjorden. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are no social data for Isfjorden). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. Note that there are some important moorings outside of this bounding box that are included in the data counts. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.
Figure 4: High level overview of the data available for Isfjorden. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are no social data for Isfjorden). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. Note that there are some important moorings outside of this bounding box that are included in the data counts. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.

Monthly average values for temperature and salinity data.

Figure 5: Monthly climatologies for data at Isfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Isfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Isfjorden. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no surface salinity values for Isfjorden within the bounding box.
Figure 5: Monthly climatologies for data at Isfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Isfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Isfjorden. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no surface salinity values for Isfjorden within the bounding box.

Trends in temperature and salinity data.

Figure 6: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are not currently many salinity data points for Isfjorden.
Figure 6: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are not currently many salinity data points for Isfjorden.

Storfjorden

High level summary of data available for Storfjorden. This replaces the original site of Inglefieldbukta.

Figure 7: High level overview of the data available for Storfjorden The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are only physical data for Inglefieldbukta). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. Note that there are only two pixels because there are almost no data. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed.
Figure 7: High level overview of the data available for Storfjorden The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are only physical data for Inglefieldbukta). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. Note that there are only two pixels because there are almost no data. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed.

Monthly average values for temperature and salinity data.

Figure 8: Monthly climatologies for data at Storfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Storfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Storfjorden. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no surface salinity values for Storfjorden within the bounding box.
Figure 8: Monthly climatologies for data at Storfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Storfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Storfjorden. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no surface salinity values for Storfjorden within the bounding box.

Trends in temperature and salinity data.

Figure 9: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are not currently any salinity data points for Storfjorden.
Figure 9: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are not currently any salinity data points for Storfjorden.

Greenland

Young Sound

High level summary of data available for Young Sound.

Figure 10: High level overview of the data available for Young Sound. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are only cryo and phys data for Young Sound). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.
Figure 10: High level overview of the data available for Young Sound. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are only cryo and phys data for Young Sound). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.

Monthly average values for temperature and salinity data.

__Figure 11:__ Not enough data exist to calculate trends.

Figure 11: Not enough data exist to calculate trends.

Version Author Date
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610ff35 Robert 2023-08-30
6ad5b79 Robert William Schlegel 2023-08-24
bd4819b Robert 2023-08-23
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2ea419c Robert 2023-05-30
f59b5f2 robwschlegel 2022-11-28
cc87bdd Robert 2022-09-23
8a8fd0b Robert 2022-05-27
b32f47e robwschlegel 2022-04-21
0d6d433 Robert 2021-12-15
cf10066 robwschlegel 2021-12-15
860f5d3 Robert 2021-12-10
2725466 Robert 2021-12-10
807675e robwschlegel 2021-12-06
104acbc Robert 2021-12-03
1e379a2 robwschlegel 2021-11-25
b4d9162 Robert 2021-08-25

Trends in temperature and salinity data.

__Figure 12:__ Not enough data exist to calculate trends.

Figure 12: Not enough data exist to calculate trends.

Version Author Date
7ad8a78 Robert William Schlegel 2023-12-12
610ff35 Robert 2023-08-30
6ad5b79 Robert William Schlegel 2023-08-24
bd4819b Robert 2023-08-23
4ddbb12 robwschlegel 2023-07-24
2ea419c Robert 2023-05-30
f59b5f2 robwschlegel 2022-11-28
cc87bdd Robert 2022-09-23
8a8fd0b Robert 2022-05-27
b32f47e robwschlegel 2022-04-21
0d6d433 Robert 2021-12-15
cf10066 robwschlegel 2021-12-15
860f5d3 Robert 2021-12-10
2725466 Robert 2021-12-10
807675e robwschlegel 2021-12-06
104acbc Robert 2021-12-03
1e379a2 robwschlegel 2021-11-25
b4d9162 Robert 2021-08-25

Disko Bay

High level summary of data available for Disko Bay.

Figure 13: High level overview of the data available for Disko Bay. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are no bio or soc data for Disko Bay). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~10 km grouping. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.
Figure 13: High level overview of the data available for Disko Bay. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently there are no bio or soc data for Disko Bay). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~10 km grouping. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.

Monthly average values for temperature and salinity data.

Figure 14: Monthly climatologies for data at Disko Bay. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Disko Bay. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Disko Bay. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no salinity values for Disko Bay and almost no temperature values.
Figure 14: Monthly climatologies for data at Disko Bay. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Disko Bay. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Disko Bay. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no salinity values for Disko Bay and almost no temperature values.

Trends in temperature and salinity data.

__Figure 15:__ Not enough data exist to calculate trends.

Figure 15: Not enough data exist to calculate trends.

Version Author Date
7ad8a78 Robert William Schlegel 2023-12-12
610ff35 Robert 2023-08-30
6ad5b79 Robert William Schlegel 2023-08-24
bd4819b Robert 2023-08-23
4ddbb12 robwschlegel 2023-07-24
2ea419c Robert 2023-05-30
f59b5f2 robwschlegel 2022-11-28
cc87bdd Robert 2022-09-23
8a8fd0b Robert 2022-05-27
b32f47e robwschlegel 2022-04-21
0d6d433 Robert 2021-12-15
cf10066 robwschlegel 2021-12-15
860f5d3 Robert 2021-12-10
2725466 Robert 2021-12-10
807675e robwschlegel 2021-12-06
104acbc Robert 2021-12-03
1e379a2 robwschlegel 2021-11-25
b4d9162 Robert 2021-08-25

Nuup Kangerlua

High level summary of data available for Nuup Kangerlua.

Figure 16: High level overview of the data available for Nuup Kangerlua. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently only chem and phys data are available). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. Note how almost all of the data are from outside of the fjord. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.
Figure 16: High level overview of the data available for Nuup Kangerlua. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently only chem and phys data are available). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~1 km grouping. Note how almost all of the data are from outside of the fjord. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.

Monthly average values for temperature and salinity data.

Figure 17: Monthly climatologies for data at Nuup Kangerlua. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Nuup Kangerlua. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Nuup Kangerlua. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no salinity values for Nuup Kangerlua and sparse temperature values.
Figure 17: Monthly climatologies for data at Nuup Kangerlua. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Nuup Kangerlua. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Nuup Kangerlua. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no salinity values for Nuup Kangerlua and sparse temperature values.

Trends in temperature and salinity data.

Figure 18: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are no salinity data.
Figure 18: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are no salinity data.

Norway

Porsangerfjorden

High level summary of data available for Porsangerfjorden.

Figure 19: High level overview of the data available for Porsangerfjorden. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently only chem and phys data are available). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~10 km grouping. Note how a lot of data are from outside of the fjord. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.
Figure 19: High level overview of the data available for Porsangerfjorden. The acronyms for the variable groups seen throughout the figure are: bio = biology, chem = chemistry, cryo = cryosphere, phys = physical, soc = social (currently only chem and phys data are available). A) Metadata showing the range of values available within the data. B) Spatial summary of data available per ~10 km grouping. Note how a lot of data are from outside of the fjord. C) Temporal summary of available data. D) Summmary of data available by depth. Note that all of the data summaries are log10 transformed. For C) and D) the log10 transformation is applied before the data are stacked by category, which gives the impression that there are much more data are than there are.

Monthly average values for temperature and salinity data.

Figure 20: Monthly climatologies for data at Porsangerfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Porsangerfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Porsangerfjorden. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no surface salinity values for Porsangerfjorden and the salinity values are questionable.
Figure 20: Monthly climatologies for data at Porsangerfjorden. The entire range of data was used for the climatology period. A) Temperature climatolgies at depths for all of Porsangerfjorden. B) Spatial surface (0 to 10 m) temperature climatologies. C) Salinity climatologies at depth for all of Porsangerfjorden. D) Spatial surface (0 to 10 m) salinity climatologies. Note that there are no surface salinity values for Porsangerfjorden and the salinity values are questionable.

Trends in temperature and salinity data.

Figure 21: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are not enough salinity data to calculate trends.
Figure 21: Trends in A) temperature and B) salinity at different depth groups. The average annual values for all data are shown as diamonds, and the annual trends for these values are shown as coloured lines. Note that there are not enough salinity data to calculate trends.

References


R version 4.3.3 (2024-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.6 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3;  LAPACK version 3.9.0

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_GB.UTF-8    
 [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8   
 [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       

time zone: UTC
tzcode source: system (glibc)

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] lubridate_1.9.3 forcats_1.0.0   stringr_1.5.1   dplyr_1.1.4    
 [5] purrr_1.0.2     readr_2.1.5     tidyr_1.3.1     tibble_3.2.1   
 [9] ggplot2_3.4.4   tidyverse_2.0.0 workflowr_1.7.1

loaded via a namespace (and not attached):
 [1] sass_0.4.8        utf8_1.2.4        generics_0.1.3    stringi_1.8.3    
 [5] hms_1.1.3         digest_0.6.34     magrittr_2.0.3    timechange_0.3.0 
 [9] evaluate_0.23     grid_4.3.3        fastmap_1.1.1     rprojroot_2.0.4  
[13] jsonlite_1.8.8    processx_3.8.3    whisker_0.4.1     ps_1.7.6         
[17] promises_1.2.1    httr_1.4.7        fansi_1.0.6       scales_1.3.0     
[21] jquerylib_0.1.4   cli_3.6.2         rlang_1.1.3       munsell_0.5.0    
[25] withr_3.0.0       cachem_1.0.8      yaml_2.3.8        tools_4.3.3      
[29] tzdb_0.4.0        colorspace_2.1-0  httpuv_1.6.14     vctrs_0.6.5      
[33] R6_2.5.1          lifecycle_1.0.4   git2r_0.33.0      fs_1.6.3         
[37] pkgconfig_2.0.3   callr_3.7.3       pillar_1.9.0      bslib_0.6.1      
[41] later_1.3.2       gtable_0.3.4      glue_1.7.0        Rcpp_1.0.12      
[45] highr_0.10        xfun_0.41         tidyselect_1.2.0  rstudioapi_0.15.0
[49] knitr_1.45        farver_2.1.1      htmltools_0.5.7   labeling_0.4.3   
[53] rmarkdown_2.25    compiler_4.3.3    getPass_0.2-4