1,720,987 research outputs found
Streams, Outlets, and Basins [k=0.8]
No full textGreenland land and ice sheet streams, outlets, and basins. Routing assumes k = 0.8 for subglacial routing algorith
Greenland freshwater runoff
No full text
DEPRECATED
This dataset should not be used.
Please use data found in doi: 10.22008/FK2/XKQVL7.
Greenland land and ice sheet runoff. Assumes subglacial routing with k=1.0.
Code to access and query the database: https://github.com/mankoff/freshwater</a
Ground penetrating radar data near the A380 engine recovery site
No full textDense track-on-track radar data collected as part of the A380 engine recovery projec
Greenland ice sheet mass balance from 1840 through next week
No full textMass balance (and components) for Greenland.
Paper: https://doi.org/10.5194/essd-13-5001-2021
Code: https://github.com/GEUS-Glaciology-and-Climate/mass_balance/
Issues: https://github.com/GEUS-Glaciology-and-Climate/mass_balance/issues/
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Greenland and Canadian Arctic ice temperature profiles database
No full textData for the "Greenland deep ice temperature database" publication.
Source for data is available at https://github.com/GEUS-Glaciology-and-Climate/greenland_ice_borehole_temperature_profiles/
v3.0: Updated Hans Tausen Dome temperature profile. See https://github.com/GEUS-Glaciology-and-Climate/greenland_ice_borehole_temperature_profiles/issues/50
Greenland Ice Sheet Surface Elevation Change
No full textDescription
Annual (April to April) elevation change rates of the Greenland Ice Sheet from April 2011 to April 2020 from CryoSat-2, ICESat-2 and NASA’s ATM flights on a 1x1 km grid.
Methods
We have used radar altimetry data from ESA’s Earth Explorer CryoSat-2 mission (Wingham et al., 2006) to estimate annual mass changes of the GrIS from April 2011 to April 2020. We supplemented CryoSat-2 data with laser altimetry observations from NASA’s Operation IceBridge Airborne Topographic Mapper (ATM) flights from April 2011 to April 2019 (Studinger et al., 2020). NASA ended its Operation IceBridge measurement over Greenland in spring 2019, so to fill the gap in laser altimetry data, we used Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data from April 2019 to April 2020.
We applied corrections for the Earth’s immediate elastic response to contemporary ice mass changes and a correction for glacial isostatic adjustment (GIA) using a recent model entitled “GNET-GIA” (Khan et al., 2016). We converted the observed ice volume changes to mass changes and considered firn compaction obtained using the Regional Atmospheric Climate Model (RACMO2.3p2) (Ligtenberg et al., 2018). Data is analyzed in Khan et al. 2022.
References
Khan, S. A., Bamber, J. L., Rignot, E., Helm, V., Aschwanden, A., Holland, D. M., et al. (2022). Greenland mass trends from airborne and satellite altimetry during 2011–2020. Journal of Geophysical Research: Earth Surface, 127, e2021JF006505.
Khan, S. A. et al. (2016). Geodetic measurements reveal similarities between post-Last Glacial Maximum and present-day mass loss from the Greenland ice sheet. Sci. Adv. 2, e1600931, https://doi.org/10.1126/sciadv.1600931
Ligtenberg, S. R. M., Kuipers Munneke, P., Noël, B. P. Y., and van den Broeke, M. R. (2018). Brief communication: Improved simulation of the present-day Greenland firn layer (1960–2016), The Cryosphere, 12, 1643–1649, https://doi.org/10.5194/tc-12-1643-2018.
Studinger, M. (2014), updated 2020. IceBridge ATM L2 Icessn Elevation, Slope, and Roughness, Version 2. [2011-2019]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/CPRXXK3F39RV
Wingham, D. J., Francis, C. R., Baker, S., Bouzinac, C., Brockley, D., et al. (2006). CryoSat: A mission to 705 determine the fluctuations in Earth’s land and marine ice fields. In M. Singh, RP and Shea (Ed.), Natural Hazards and Oceanographic processes from satellite data, 37, pp. 841–871. Elsevier science ltd. https://doi.org/10.1016/j.asr.2005.07.02
Snow broadband albedo, specific surface area and optical grain diameter from Sentinel-3's OLCI, daily 1 km mosaics, Greenland
No full textThis dataset contains:
albedo_bb_planar_sw.tif
Shortwave broadband planar albedo (300-2400 nm)
diagnostic_retrieval.tif
Per-pixel information about the retrieval.
al.tif
Effective absorption length (mm)
r0.tif
Reflectance of a semi-infinite non-absorbing snow layer
snow_specific_area.tif
Snow specific surface area (m^2 kg^-1)
grain_diameter.tif
Snow effective optical grain diameter (mm)
Can be used to flag surface melt above 0.64 mm.
For TOA reflectance, see:
Vandecrux, Baptiste; Box, Jason; Mankoff, Ken; Wehrlé, Adrien, 2021, "OLCI top-of-the-atmosphere reflectances with auxillary data, daily 1 km mosaics, Greenland",
https://doi.org/10.22008/FK2/B674AR
, GEUS Dataverse
In this version:
- Clouds have been removed
- SNAP7 was used with per-pixel geocoding
- pySICEv1.4 was used
Processing scripts:
https://github.com/GEUS-SICE/SICE
https://github.com/GEUS-SICE/pySICE
ATBD:
Kokhanovsky, A.; Box, J.; Vandecrux, B. Pre-operational Sentinel-3 Snow and Ice (SICE) Products: Algorithm Theoretical Basis Document. Preprints 2020,
https://doi.org/10.20944/preprints202009.0529.v1).
Related studies:
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, H.C.; Wahl, S.; Andersen, J.K.; Vandecrux, B.; van As, D.; Mankoff, K.D.; Kern, M.; Zege, E.; Box, J.E. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sens. 2019, 11, 2280.
https://doi.org/10.3390/rs11192280
Kokhanovsky, A.; Box, J.E.; Vandecrux, B.; Mankoff, K.D.; Lamare, M.; Smirnov, A.; Kern, M. The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique. Remote Sens. 2020, 12, 234.
https://doi.org/10.3390/rs12020234
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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