IPCC ARG6 SLC (no VLM, with 
quantiles, Garner et al. 
2022) 
By following this method, we obtain an estimate of sea level rise 
that is optimised for the regional VLM, thereby ensuring a more 
accurate representation of sea level changes specific to our study 
area. Furthermore, the enhanced resolution of the new dataset 
is a consequence of this process. 
2.3 | Dataset Description 
| Preprocessing: Correction 
of Outlier Grid Cells 
NKG2016LU (constant VLM 
rates, Vestgl et al. 2019) 
*  Bilinear interpolation onto ' 
NKG2016LU grid 
Extrapolate uplift values 
LU_NKG(t) 
\ 
Combination: 
DASNordicSLR(g,t) = 
SLC_IPCC_Novim(navim,q,t) 
+ (-LU_NKG(t)) 
\ 
The final datasets are provided openly accessible (see 
Section 3. Dataset Access) via the BSH (Federal Maritime and 
Hydrographic Agency Germany). 
The dataset includes: 
1. decadal values for sea level projections from 2020 to 2150; 
2. for the SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 
scenarios; 
3. covering the domain from 49° to 75°N and 0 to 50°E; and 
4. with uncertainty information represented by 107 quantiles 
from 0% to 100%. 
x 
“ 
Final dataset: Optimized 
regional RSLR projections 
DASNordicSLR 
FIGUREN1 | Data processing workflow 
Where, q; quantiles, t; time (decade). 
SLCrpcc,novtm,g(*): Projected IPCC total sea level change exclud- 
ing ‘vertical land motion’ with all uncertainties. 
LUnge(Y): Cumulative vertical land uplift from the NKG2016 
model up to time t. 
Preprocessing Adjustment: Correction of Outlier Grid Cells: 
We used the IPCC report to obtain the total sea level projec- 
tions with uncertainties, which include the effects of vertical 
land motion (VLM’). During the assessment of the fields, 
we found a band of higher spread in isolated grid cells from 
Scandinavia through to the Iberian Peninsula in the ‘ocean 
dynamics’ contribution (see Figure A1 and Table A1 in the 
Appendix). This higher spread is observable for all time 
steps and all scenarios. The location of the high spread var- 
jes within scenarios. All grid points that were higher in any 
scenario were therefore selected and corrected for all scenar- 
ijos. As most of the impacted cells are over land, this would 
most likely not be a major issue, but some grid cells in the 
Baltic Sea area are affected. This issue is likely due to differ- 
ent land-ocean masks and borders that differ between the 
climate models going into the IPCC projections. After consul- 
tation with the authors of the dataset, we decided to remove 
those outlier points (Table A1 in the Appendix) and rather use 
neighbouring points by bilinearly interpolating over the area. 
This adjustment is made before Steps 1 through 3. 
Geoscience Data Journal, 2026 
[It should be noted, that the vertical land motion is independent 
of the SSP scenarios. Any differences between the SSPs therefore 
stem from the underlying IPCC AR6 projections. A subset of the 
final dataset for ocean parts along the German coasts is available 
and visualised in the Web viewer of the DAS core service “Climate 
and water’ (https://das.bsh.de; see also data access). Here, the data 
are available in a NetCDF file and GeoTIFF file for each time step 
(decade) and scenario (SSPs), all for the 16.7th and 83.3th percen- 
tile as well as the median. The viewer provides a regional analogue 
io the NASA Sea Level Projection Tool (NASA, n.d.), which of- 
fers globally consistent, scenario-based sea level projections and 
is widely used as a reference for international coastal assessments. 
3 | Dataset Access 
The full dataset associated with this study is publicly avail- 
able and can be accessed through BSH at https://doi.bsh.de/10. 
60751/3x97-gp60. The dataset is provided in NetCDF ensuring 
compatibility with common geospatial analysis tools. 
Users can freely download the dataset under the terms of the 
Creative Commons Attribution 4.0 International (CC BY 4.0), 
which permits unrestricted use, distribution and reproduction 
in any medium, provided proper citation of the original source. 
4 | Comparison 
ın order to provide some first impression and to put our data into 
context, our DASNordicSLR dataset is compared to the original 
{PCC sea level change. 
Sirst, we compare only the vertical land motion contribution 
from IPCC (Figure 2a) with the negative VLM from NKG2016LU 
(Figure 2b). IPCC features sharper contours over the North 
Sea/Atlantic, whereas NKG has a smoother appearance. Over 
yf 5