Summary of model data for FACE-IT study sites
Robert Schlegel
15 décembre 2021
Last updated: 2021-12-15
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Knit directory: WP1/
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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.
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.
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.
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.
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.
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.
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.6 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=fr_FR.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=fr_FR.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] workflowr_1.6.2
loaded via a namespace (and not attached):
[1] Rcpp_1.0.7 whisker_0.4 knitr_1.36 magrittr_2.0.1
[5] R6_2.5.1 rlang_0.4.12 fastmap_1.1.0 fansi_0.5.0
[9] stringr_1.4.0 tools_4.1.2 xfun_0.26 utf8_1.2.2
[13] git2r_0.28.0 jquerylib_0.1.4 htmltools_0.5.2 ellipsis_0.3.2
[17] rprojroot_2.0.2 yaml_2.2.1 digest_0.6.28 tibble_3.1.5
[21] lifecycle_1.0.1 crayon_1.4.1 later_1.3.0 sass_0.4.0
[25] vctrs_0.3.8 promises_1.2.0.1 fs_1.5.0 glue_1.4.2
[29] evaluate_0.14 rmarkdown_2.11 stringi_1.7.5 bslib_0.3.1
[33] compiler_4.1.2 pillar_1.6.4 jsonlite_1.7.2 httpuv_1.6.3
[37] pkgconfig_2.0.3