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Overview

This document contains a summary of the model data made available by Morten Skogen of the FACE-IT project.

Svalbard

Kongsfjorden

Model temperatures. There are many more variables available within the models.

Figure 1: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.
Figure 1: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.

Isfjorden

Figure 2: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.
Figure 2: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.

Storfjorden

Figure 3: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.
Figure 3: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.

Greenland

Young Sound

Figure 4: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.
Figure 4: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.

Disko Bay

There are no model data for the western side of Greenland.

Nuup Kangerlua

There are no model data for the western side of Greenland.

Norway

Porsangerfjorden

Figure 5: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.
Figure 5: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.

Tromso

Figure 6: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.
Figure 6: A) Average model temperatures at depths for different RCP projections. Note that the model data are not on a cartesian coordinate grid so the data are shown here as points instead of as a raster. B) Trends in model temperatures at different depths and RCP projections. Straight lines show linear models fitted to each point in panel A.

R version 4.3.1 (2023-06-16)
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/blas/libblas.so.3.9.0 
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.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: Europe/Paris
tzcode source: system (glibc)

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

other attached packages:
[1] workflowr_1.7.0

loaded via a namespace (and not attached):
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[13] git2r_0.32.0      htmltools_0.5.5   httpuv_1.6.11     ps_1.7.5         
[17] sass_0.4.7        fansi_1.0.4       rmarkdown_2.23    jquerylib_0.1.4  
[21] tibble_3.2.1      evaluate_0.21     fastmap_1.1.1     yaml_2.3.7       
[25] lifecycle_1.0.3   whisker_0.4.1     stringr_1.5.0     compiler_4.3.1   
[29] fs_1.6.2          pkgconfig_2.0.3   Rcpp_1.0.11       rstudioapi_0.15.0
[33] later_1.3.1       digest_0.6.33     R6_2.5.1          utf8_1.2.3       
[37] pillar_1.9.0      callr_3.7.3       magrittr_2.0.3    bslib_0.5.0      
[41] tools_4.3.1       cachem_1.0.8      getPass_0.2-2