Summary of SST 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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| File | Version | Author | Date | Message |
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| Rmd | 713428c | Robert | 2021-12-15 | Calculated SST trends for all model data |
| html | 713428c | Robert | 2021-12-15 | Calculated SST trends for all model data |
| html | 1beea50 | Robert | 2021-12-14 | Build site. |
| html | b554c7a | Robert | 2021-12-14 | Fixed labelling for CCI SST figures |
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| Rmd | 1b3e2f2 | Robert | 2021-12-14 | Added CCI SST analysis and figures to the SST data page |
| html | 1b3e2f2 | Robert | 2021-12-14 | Added CCI SST analysis and figures to the SST data page |
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| html | 104acbc | Robert | 2021-12-03 | Build site. |
| Rmd | e8e7420 | Robert | 2021-12-03 | SST analysis figures |
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Overview
This document contains a summary of the NOAA OISST, CCI SST (sea surface temperature), and model data that have been extracted around the FACE-IT sites. Both satellite products have daily data from 1982 to 2020 however, the NOAA data are on a 0.25° grid while the CCI data are at 0.05°. This difference in the size of the pixels allows for some dramatic differences int he observed temperatures along the coast and in the fjords, as well as the decadal trends of those temperatures. Most importantly, the NOAA pixels are too coarse to capture SST within most of the FACE-IT fjords while CCI is able to provide SST in all sites. The coastal/fjord pixels in the CCI data also tend to show strong cooling trends. I assume that these cooling trends are an artefact of the increased glacial melting into the fjord. But we can’t rule out that they are caused by any of the common remotely sensed coastal pixel issues, such as land bleed, which can interfere with the accurate assimilation of the data. Regardless, even in the more open coastal waters these two products do not agree very closely with one another and this is cause for some alarm. It is known that remotely sensed products begin to differ significantly from one another when approaching the poles and the quick analysis performed here certainly confirms that once again.
The model data used here run from 2000-2099 and area available for three different climate pathways (RCP: 2.6, 4.5, 8.5) and at multiple depths (0, 50, 100, 200 m). The model is not generated on a Cartesian coordinate system so the values are shown as points, rather than as a raster. The model projections for RCP 8.5 tend to produce decadal trends that are similar to the NOAA OISST trends, implying that the current pathway we are on is 8.5, which matches most of the past literature, but moving forward we may be coming closer to RCP 7.0. Note also that the present day SST values between the model and the NOAA OISST values tend to match ore closely than to the CCI SST.
The rest of this page provides the results of the analysis by FACE-IT site. One may use the table of contents on the left to jump to a desired section. Each figure shown here has two panels: A) The average temperatures from 1982-2020, and B) The decadal trend over the same period. The first figure shows the results from the NOAA OISST data, the second for the CCI SST data, and the third for the model. Note that the model was not run for the western side of Greenland so there are no data available for Disko Bay or Nuup Kangerlua.
Svalbard
Kongsfjorden
Figure 1: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black. Note that the pixels in the NOAA OISST product are ~25km so there are no data within Kongsfjorden. One must also be cautious of the effect of land bleed on the temperatures for pixels that contain coastline.
Figure 2: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black. Note that the pixels in the CCI SST product are ~5km so there are data within Kongsfjorden. How exactly these data points came to exist is curious and one should maintain a healthy skepticism of these results.
Figure 3: A) Average annual SST from 2000-2020. B) Decadal trends in SST calculated with annual averages from 2000-2099. Decadal trends are shown for the three most commonly used RCPs. Pixels with significant trends (p <= 0.05) are framed in black. Note that the pixels in the model product are not on a cartesian grid so are shown here as points rather than as a raster.
Isfjorden
Figure 4: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 5: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 6: A) Average annual SST from 2000-2020. B) Decadal trends in SST calculated with annual averages from 2000-2099. Decadal trends are shown for the three most commonly used RCPs. Pixels with significant trends (p <= 0.05) are framed in black.
Storfjorden
Figure 7: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 8: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 9: A) Average annual SST from 2000-2020. B) Decadal trends in SST calculated with annual averages from 2000-2099. Decadal trends are shown for the three most commonly used RCPs. Pixels with significant trends (p <= 0.05) are framed in black.
Greenland
Young Sound
Figure 10: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 11: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 12: A) Average annual SST from 2000-2020. B) Decadal trends in SST calculated with annual averages from 2000-2099. Decadal trends are shown for the three most commonly used RCPs. Pixels with significant trends (p <= 0.05) are framed in black.
Disko Bay
Figure 13: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 14: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Nuup Kangerlua
Figure 15: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 16: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Norway
Porsangerfjorden
Figure 17: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 18: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 19: A) Average annual SST from 2000-2020. B) Decadal trends in SST calculated with annual averages from 2000-2099. Decadal trends are shown for the three most commonly used RCPs. Pixels with significant trends (p <= 0.05) are framed in black.
Tromsø
Figure 20: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 21: A) Average annual SST from 1982-2020. B) Decadal trends in SST calculated with annual averages from 1982-2020. Pixels with significant trends (p <= 0.05) are framed in black.
Figure 22: A) Average annual SST from 2000-2020. B) Decadal trends in SST calculated with annual averages from 2000-2099. Decadal trends are shown for the three most commonly used RCPs. Pixels with significant trends (p <= 0.05) are framed in black.
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.6 LTS
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