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Supplementary files for: Early Cenomanian ammonites from East and North-East Greenland
No full textEarly Cenomanian (100.5–95.7 Ma) ammonite faunas from East and North-East Greenland collected by the late Simon Kelly and colleagues are described. The assemblages are dominated by typically boreal Schloenbachia varians (J. Sowerby 1817). Also present are Parapuzosia (Austiniceras) austeni (Sharpe 1855) and species of more typically Tethyan genera. These include Phylloceras (Hypophylloceras) lombardense (Joly 2000), Gaudryceras (Gaudryceras) cassisianum (d’Orbigny 1850), Gaudryceras (Mesogaudryceras) leptonema (Sharpe 1855), and the hypermorphic tetragonitine Titanoleioceras boreale gen. et sp. nov. Previously known only from Geographical Society Ø and Traill Ø, the newly described material extends the distribution of these early Cenomanian faunas northwards to Hold with Hope and south to the Kangerlussuaq Basin. The phylloceratids, gaudryceratids, and tetragonitids in these assemblages are probably not preserved in their preferred original habitats, but rather drifted to their respective sites of burial during or after their lifetime
Data for "Mapping the vertical heterogeneity of Greenland’s firn from 2011-2019 using airborne radar and laser altimetry"
No full textThis dataset contains the radar sounding peak offsets used to map the vertical firn heterogeneity across the Greenland Ice Sheet, and published in Rutishauser et al. (2024)
Ellen Louise Mertz’s 1924 'Overview of late- and postglacial sea level changes in Denmark'
No full textAn important historic database on sea level change and its accompanying map are presented in a new digital version. The original database was compiled in 1924 by Ellen Louise Mertz and synthesises field observations collected in the late 19th and early 20th centuries pertaining to late glacial and postglacial relative sea level indicators across the Danish region. The original tables have been transcribed and expanded into a new digital database consisting of 658 entries. The original map sheet has been georeferenced and 392 mapped data points assigned coordinates. These have been linked to the digital data table, allowing them to be processed in a Geographic Information System (GIS).
When using the dataset, please cite the data-doi and the accompaning paper:
Jackson, S. P., Svennevig, K., & Kjeldsen, K. K. (2024). A new digital database of Ellen Louise Mertz’s 1924 ‘Overview of late- and postglacial elevation changes in Denmark’. GEUS Bulletin, 57. https://doi.org/10.34194/geusb.v57.833
In-situ measurements of temperature and salinity, South Greenland
No full textThis dataset contains oceanographic measurements of temperature and salinity acquired in South Greenland in March 2023.
Each CSV file represents one hydrographic profile. In the header is noted the date and position of acquisition.
The file GF10099.cnv contains data from Nuup Kangerlua in West Greenland acquired in April 2010. Please see Mortensen, J., Bendtsen, J., Motyka, R. J., Lennert, K., Truffer, M., Fahnestock, M. & Rysgaard, S. On the seasonal freshwater stratification in the proximity of fast-flowing tidewater outlet glaciers in a sub-Arctic sill fjord. Journal of Geophysical Research: Oceans 118, 1382–1395 (2013)
Hydrogeological layers DK4, DK5 and DK6 (ascii)
No full textThe hydrogeological layers in DKmodel2019 for modelarea DK4, DK5 and DK6 (Jylland) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model
Modelopstilling og kalibrering af DK-model 2019
SICEv3.0 Greenland snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 500 m resolution, 2017-2025
No full text
SICE v3.0. 0.5 km Arctic land ice SSA, broadband albedo and spectral reflectance for 2017 to 2023
Timespan
1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year
Description
For Greenland, 0.5km daily data (Table 1) from the pySICE v2.1 algorithm, see Bahbah et al (2023) and Kokhanovsky et al (2023) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/
Data Format
Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection.
Table 1, SICE v3.0 data, alphabetical
name, description
ANG, Angström parameter for atmospheric aerosol correction
AOD_550, aerosol optical depth at 550 nm from CAMS, m units
al, effective absorption length, mm units
albedo_bb_spherical_sw, albedo under isotropic radiation
albedo_bb_planar_sw, broadband albedo
albedo_spectral_planar_NN, multispectral albedo_spectral_planar, where NN is a number for bands 01-21
diagnostic_retrieval, per pixel diagnostic info
cloud_mask,SCDA cloud mask
cloud_mask, SCDA cloud mask
cv1, quality check 1 (see ATBD)
cv2, quality check 2 (see ATBD)
factor
grain_diameter, effective optical snow grain diameter
isnow, See Table 2
lat, decimal latitude
lon, decimal longitude
O3_SICE, OLCI total ozone retrieval corrected for ozone scattering after Kokhanovsky et al 2020
r0, reflectance of a semi-infinite non-absorbing snow layer
r_TOA_NN, multispectral TOA reflectance, where NN is a number for bands 01-21
r_BRR_NN, multispectral botttom of atmosphere reflectance, where NN is a number for bands 01-21
snow_specific_surface_area, SSA
saa, solar azimuth angle
sza, solar zenith angle
vaa, viewing azimuth angle
vza, viewing zenith angle
Table 2, Diagnostic codes
Diagnostic Code, Description
0, clean snow
1, polluted snow
6, polluted snow for which r0 was calculated and not derived from observations
7, polluted snow of calculated spherical albedo in bands 1 and 2 greater than 0.98 reprocessed as clean snow
100, sza exceeding 75, no retrival albedo
102, TOA reflectance at band 21 less than 0.1, no retrieval
104, grain_diameter less than 0.1, no retrieval, potential cloud flag
-N, impossible to solve polluted snow albedo equation at band N
See also related information below
Reference Publications
Kokhanovsky, A., Vandecrux, B., Wehrlé, A., Danne, O., Brockmann, C., and Box, J. E.: An improved retrieval of snow and Ice properties using spaceborne OLCI/S-3 spectral reflectance measurements: Updated atmospheric correction and snow impurity load estimation, Remote Sens. (Basel), 15, 77, https://doi.org/10.3390/rs15010077, 2022
Kokhanovsky A.A., Lamare, M. and Rozanov, V. (2020) Retrieval of the total ozone over Antarctica using Sentinel-3 ocean and land colour instrument. Journal of Quantitative Spectroscopy and Radiative Transfer 251, 107045 https://doi.org/10.1016/j.jqsrt.2020.107045
Code
Bahbah, R., Wehrlé, A., Mankoff, K., Vandecrux, B., and Box, J. E.: Sentinel-3 snow and ice optical properties retrieval (SICE) version 3.0, https://doi.org/10.5281/zenodo.10058790, 2023.
How to gather and read the data
see https://github.com/GEUS-SICE/SICE_gather and raise any issues there.
Acknowledgements
SICE has been supported by the following contracts to the European Space Agency (ESA):
Dec. 2016 – Jan. 2019 SEOM S34Sci Land Study 1: Snow, ESRIN Contract 4000118926/16/I-NB
Dec. 2018 – Jul. 2020 EO Science For Society, ESA/Contract 4000125043/18/I-NB – ESA/AO/1-9101/17/I-NB EO SCIENCE FOR SOCIETY, Pre-operational Sentinel-3 Snow and Ice Products (SICE)
Jan. 2019 – Dec. 2020 ESA PRODEX, An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network
May 2021 – June 2023 ESA PRODEX, Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System (SISAWS)
Feb 2022 – Oct. 2023 ESA EO Science For Society, Snow and ICE optical and physical properties from Sentinel-3 (SICE), ESA CCN contract 4000125043/18/I-NB
and the ESA Network of Resources,
Related Information
description of variables, inputs and outputs https://github.com/GEUS-SICE/pySICE/tree/pySICEv2.1
https://snow.geus.dk/
Questions?
contact Jason Box, [email protected]
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Dataset related to the "Geochemical Atlas of Stream sediment samples from South and West Greenland"
No full textThis data set contains analyses from stream sediment geochemical mapping of West and South Greenland (Steenfelt, 2001a). Stream sediment samples were collected from 1979 to 1998 with as even coverage as possible from low-order streams and with a sampling density between 1 sample per 5 km2 and 1 sample per 50 km2, mostly around 1 sample per 30 km2. With few exceptions, the 0.1 mm grain size fractions of 500-g samples were analysed for major and trace elements by two or three methods. After careful quality control and elimination of bias between analytical values determined by different methods or at different times (calibration), the most reliable analytical data were selected as the final consistent dataset, containing data from 7122 samples analysed for up to 43 elements (see Steenfelt 1999, 2001b for details on data selection and calibration)
DK-model HIP - modelsetup 500- and 100m (DK3)
No full textThis .zip file contains DK-model HIP in 500 and 100m resolution. Simulated results with this model are shared and displayed at HIP and KAMP portals.
GEUS har ophavsretten til DK-modellen
Vi ønsker, at modellen bruges bredt ved løsning af opgaver eller nye undersøgelser, og giver derfor alle brugsret til modellen og data på følgende vilkår:
1.GEUS angives som kilde.
2.Brugen sker på eget ansvar, og dette skal fremgå overfor brugerens samarbejdspartnere.
3.For at sikre modellens udvikling informeres GEUS pr. email: [email protected] i tilfælde, hvor der sker ændringer i modelkonceptet eller justeringer af den konceptuelle model (herunder den hydrostratigrafiske model).
4.Brugeren accepterer endvidere, at GEUS benytter sådanne ændringer/justeringer til en fremtidig opdatering af DK-modellen.
National Vandressource Model udvikles og vedligeholdes løbende. Hvis man vil benytte versioner, der endnu ikke er frigivet, kan man henvende sig til os og få dem udleveret på ad hoc-basis.
Det skal bemærkes, at DK-model HIP primært er udviklet og kalibreret til at simulere det terrænnære grundvand og således ikke uden videre kan forventes at kunne bruges i vandressource-sammenhænge
SICEv2.3.2 Frans Josef Land snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 1000 m resolution, 2017-2023
No full text
SICE v2.3.2. Multi-regional 1 km Arctic land ice SSA, broadband albedo and spectral reflectance for 2017 to 2023
Timespan
1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year
Description
For multiple Arctic glaciated regions (Table 1), 1km daily data (Table 2) from the SICE v1.6 algorithm, see Wehrlé et al (2021) and Kokhanovsky et al (2019) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/
Data Format
Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection. We suggest using rasterio to read the data files.
Table 1, SICE regions, sorted by decreasing area
region, area, sq km, percent of multi-regional area
Greenland, 1,744,666, 82.7
Arctic Canada North, 100,691, 4.8
Alaska and Yukon, 96,909, 4.6
Arctic Canada South, 40,970, 1.9
Norway, 34,018, 1.6
Svalbard, 32,506, 1.5
Novaya Zemlya, 21,506, 1.0
Severnaya Zemlya, 15,842, 0.8
Frans Josef Land, 12,131, 0.6
Iceland, 11,489, 0.5
Table 2, SICE v1 data
name, description
BBA_combination, broadband albedo based on albedo_bb_planar_sw for albedo_bb_planar_sw above 0.565 and based on empirical algorithm for albedo_bb_planar_sw less than 0.565
SCDA_final, cloud mask
albedo_bb_planar_sw,
diagnostic_retrieval, per pixel diagnostic info
num_scenes, number of scenes
r_TOA_01, TOA reflectance, band 1
r_TOA_06, TOA reflectance, band 6
r_TOA_17, TOA reflectance, band 17
r_TOA_21, TOA reflectance, band 21
snow_specific_surface_area, SSA
Reference Publications
Kokhanovsky A., Lamare M., Danne O., Brockmann C., Dumont M., Picard G., Arnaud L., Favier V., Jourdain B., Le Meur E., Di Mauro B., Aoki T., Niwano M., Rozanov V., Korkin S., Kipfstuhl S., Freitag J., Hoerhold M., Zuhr A., Vladimirova D., Faber A-K., Steen-Larsen HC., Wahl S., Andersen JK., Vandecrux B., van As D., Mankoff KD., Kern M., Zege E., Box JE. 2019. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sensing 11:2280. https://doi.org/10.3390/rs11192280
Kokhanovsky, A., Box, J., and Vandecrux, B.: Pre-operational Sentinel-3 snow and ice (SICE) products: Algorithm theoretical basis document, https://doi.org/10.20944/preprints202009.0529.v1, 23 September 2020.
Wehrlé A., Box JE., Niwano M., Anesio AM., Fausto RS. 2021. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin 47. https://doi.org/10.34194/geusb.v47.5284
Code
Wehrlé, A., Mankoff, K., Vandecrux, B., and Box, J. E.: Sentinel-3 snow and ice optical properties retrieval (SICE) version 2.3.2, https://doi.org/10.5281/zenodo.10036416, 2023.
How to gather and read the data
see https://github.com/GEUS-SICE/SICE_gather and raise any issues there.
Related Publications
Kokhanovsky A., Lamare M., Di Mauro B., Picard G., Arnaud L., Dumont M., Tuzet F., Brockmann C., Box JE. 2018. On the reflectance spectroscopy of snow. The Cryosphere 12:2371–2382. https://doi.org/10.5194/tc-12-2371-2018
Acknowledgements
SICE has been supported by the following contracts to the European Space Agency (ESA):
Dec. 2016 – Jan. 2019 SEOM S34Sci Land Study 1: Snow, ESRIN Contract 4000118926/16/I-NB
Dec. 2018 – Jul. 2020 EO Science For Society, ESA/Contract 4000125043/18/I-NB – ESA/AO/1-9101/17/I-NB EO SCIENCE FOR SOCIETY, Pre-operational Sentinel-3 Snow and Ice Products (SICE)
Jan. 2019 – Dec. 2020 ESA PRODEX, An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network
May 2021 – June 2023 ESA PRODEX, Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System (SISAWS)
Feb 2022 – Oct. 2023 ESA EO Science For Society, Snow and ICE optical and physical properties from Sentinel-3 (SICE), ESA CCN contract 4000125043/18/I-NB
and the ESA Network of Resources,
Related Information
description of variables, inputs and outputs https://github.com/GEUS-SICE/pySICE/tree/pySICEv2.1
https://snow.geus.dk/
Questions?
contact Jason Box, [email protected]
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Supplementary files for: Stratigraphy of the Upper Jurassic to lowermost Cretaceous in the Rødryggen-1 and Brorson Halvø-1 boreholes, Wollaston Forland, North-East Greenland
No full textTwo shallow cores drilled in northern Wollaston Forland, North-East Greenland, provide a combined section covering the upper Kimmeridgian (Upper Jurassic) – Barremian (Lower Cretaceous) and comprising the Bernbjerg, Lindemans Bugt, Palnatokes Bjerg and Stratumbjerg Formations. A new lithostratigraphic unit, the Storsletten Member, is defined within the Lindemans Bugt Formation. The black mudstone-dominated intervals are dated primarily by dinoflagellates and ammonites, whereas the calcareous mudstones of the Palnatokes Bjerg Formation – sandwiched between the black mudstones – are dated by calcareous nannofossils. The stratigraphy demonstrates an almost complete succession in the Rødryggen-1 core, representing a deeper position in the basin, where the hiatus at the latest Jurassic rift climax predicted in previous models for the eastern Wollaston Forland Basin is absent. In contrast, the Brorson Halvø-1 core represents a position closer to a block crest where unconformities developed. In combination, the cores provide a key biostratigraphic reference section for the Jurassic–Cretaceous boundary interval in the Arctic