NERC Data Catalogue Service
NERC Data Catalogue Service (Natural Environment Research Council)
Continents, countries, sea regions of the world.
Nitrous oxide in the Drakes Passage, Bellingshausen Sea and Deception Island during November-December 1992
Concentrations of dissolved and atmospheric nitrous oxide, N2O, were measured in the austral spring of 1992 in the Drake Passage and Bellingshausen Sea as part of the United Kingdom Joint Global Ocean Flux Study expedition to the Southern Ocean. The measured atmospheric mixing ratio was 313 +/- 5 parts per billion by volume, in agreement with the hemispherically corrected global mean. In the Drake Passage, surface N2O saturations were generally very close to atmospheric equilibrium, 99.7 +/- 3%, although several anomalous points were associated with the presence of frontal and eddy-like features within the Antarctic Polar Frontal Zone and at the Continental Water Boundary. Further to the south, a series of oceanographic stations and two surface transects along the 85 degrees W meridian between 65.28 degrees S and 70.32 degrees S revealed a transition from undersaturated conditions in open water to oversaturated conditions in the marginal ice zone, in the upper mixed layer (75-100 m). These observations reflect upwelling of Circumpolar Deep Water at approximately 70 degrees S, resulting in the accumulation of N2O under the winter sea ice and its subsequent release to the atmosphere following the ice retreat. Sea-air N2O fluxes were estimated from the product of the surface N2O anomaly and the modelled gas transfer coefficients of Liss and Merlivat [1986] and Wanninkhof [1992] to find a maximum rate of +3.1 micromole N2O m-2 d -1. North of the upwelling region, Antarctic Surface Water formed from the mixing of surface waters and ice melt was moderately depleted in N2O with respect to the atmosphere, a minimum 90% of saturation. This sink area was estimated to extend between 65.28 degrees S and 69.57 degrees S with a mean sea-air flux of between -0.6 +/- 0.4 and -0.9 +/- 0.7 micromole N2O m-2 d-1. The region studied at 85 degrees W (65.28 degrees S to 70.32 degrees S) revealed source and sink areas which were largely determined by the changing physical hydrography, so that overall there was a small net negative flux of between -0.06 +/- 0.9 and -0.09 +/- 1.4 micromole N2O m-2 d-1. Funding: The work was supported by NERC funding to the Plymouth Marine Laboratory, the British Antarctic Survey and from the U.K. Biogeochemical Flux Study (BOFS).
This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
Primary method calibration was through a commercially prepared, certified N2O/CH4 mixture in an UHP N2 matrix (Air Products) with a certified accuracy of +/-1% or better. For routine analytical calibrations a series of four secondary standards (in the linear range of the detector) were used, prepared from the primary mixtures by pressure dilution [Upstill-Goddard et al., 1990]. Consequently, the best estimate for overall accuracy of the N2O secondary standards was +/-2%. The variability of the method during this study was generally better than 2-3% (mean = 0.97%, n=44), based on replicate analyses of standards, atmospheric air, and compressed air. In support of this calibration, the measured atmospheric mixing ratio of 313 +/- 5 parts per billion by volume (ppbv) shows less than 1% deviation from the interhemispheric corrected global mean and at worst provides an overestimate of 1.3% relative to 1992 data for the South Pole [Swanson et al., 1992].
Annotated dataset of wandering albatrosses detected in Very High Resolution (VHR) satellite imagery of South Georgia, Crozet Islands and Kerguelen Islands, from 2015-2017.
This annotated dataset comprises locational data of wandering albatrosses at colonies on Bird Island and Annenkov Island in South Georgia, Apotres in the Crozet Islands and Grande Coulee on the west coast of Kerguelen Island. Albatrosses were detected from Very High Resolution (VHR) satellite imagery, which was acquired on the following dates: - Bird Island: January 10th, 2015 - Annenkov: February 3rd, 2017 - Apotres: March 3rd, 2017 - Grande Coulee: March 16th, 2017. Images were manually scanned and albatrosses detected through the use of grids. An experienced observer (''reference count'') and five novice volunteers (observers 1-5) annotated the satellite images to assess interobserver variation. Scanning was carried out by collaborators and volunteers of the Albatrosses from Space project. Additional metadata includes information on image type and model, and image acquisition location. This dataset supports the advancement of remote monitoring for a vulnerable seabird species. This research was funded by the Natural Environment Reseach Council through the NEXUSS CDT, grant number NE/N012070/1, titled ''Automated UAV and Satellite Image Analysis for Wildlife Monitoring.''
The satellite images were pansharpened using the Gram-Schmidt algorithm. The attribute table includes fields to specify the satellite image metadata. Please refer to the README associated with the data for details. For Apotres Islands, there is no experienced observer shapefile.
Pitch angle distributions, loss timescales and diffusion coefficients for the Earth's radiation belts
Drift-averaged pitch angle diffusion coefficients, and derived pitch angle distributions and loss timescales for electrons with energies from 100 keV to 4 MeV, L* in the range 2 to 7 and geomagnetic activity determined by the Kp index. The pitch angle distributions and loss timescales, for use in radiation belt models, are calculated from the diffusion coefficients assuming pure pitch angle diffusion and steady decay of the distribution. Funding was provided by NERC grant NE/V00249X/1 (Sat-Risk)
This data is covered by a UK Open Government Licence (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/). Further by downloading this data the user acknowledges that they agree with the NERC data policy (http://www.nerc.ac.uk/research/sites/data/policy.asp), and the following conditions:
Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1532C, Amundsen Sea, West Antarctica (2019)
This data set presents contents of the clay minerals smectite, illite, chlorite and kaolinite analysed on the clay fraction (less than 2 micrometers) of Pleistocene-Holocene drift sediments recovered at Hole U1532C on the Amundsen Sea continental rise during IODP Exp379 with RV JOIDES Resolution in Jan-Mar 2019. The clay mineral contents are given in percentages (%) both versus expedition number, site number, hole ID, core number, drill core type (H: advanced piston corer system, X: extended core barrel system; R: rotary core barrel system), section number (sect), section half (W: work; A: archive) and depth of the top and bottom of the sample within a section or core catcher (CC) in centimetres (cm) and versus depth below seafloor (CSF-A) in metres (m). The d-values (in Angstrom) and integral breadths (IB, delta 2theta) of the clay minerals smectite and illite as well as the ratios between the areas of the 5 Angstrom and 10 Angstrom peaks of illite are also given. The clay mineral data were generated and analysed by Dr Claus-Dieter Hillenbrand (British Antarctic Survey, Cambridge, United Kingdom) and Prof Werner Ehrmann (Institute of Geophysics and Geology, University of Leipzig, Germany). Users of this dataset should cite the dataset DOI and acknowledge both the data generators (C.-D. Hillenbrand and W. Ehrmann) and the International Ocean Discovery Program (IODP). The work was funded by NERC UK-IODP Moratorium Award NE/T010975/1.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. Citation: Hillenbrand, C.-D., & Ehrmann, W. (2023). Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1532C, Amundsen Sea, West Antarctica (2019) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/41524AB6-E19D-43D9-8BA1-8FF2FAB1A955
By preparing, analysing and evaluating samples six times, a standard deviation of c. 1% was obtained for the concentrations of smectite, chlorite and kaolinite, and of c. 1.5% for illite. The standard deviation for the 5/10 Angstrom peak area ratios is c. 0.05 and that for illite IB c. 0.02 delta °2theta.
Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1532B, Amundsen Sea, West Antarctica (2019)
This data set presents contents of the clay minerals smectite, illite, chlorite and kaolinite analysed on the clay fraction (less than 2 micrometers) of Pleistocene-Holocene drift sediments recovered at Hole U1532B on the Amundsen Sea continental rise during IODP Exp379 with RV JOIDES Resolution in Jan-Mar 2019. The clay mineral contents are given in percentages (%) both versus expedition number, site number, hole ID, core number, drill core type (H: advanced piston corer system, X: extended core barrel system; R: rotary core barrel system), section number (sect), section half (W: work; A: archive) and depth of the top and bottom of the sample within a section or core catcher (CC) in centimetres (cm) and versus depth below seafloor (CSF-A) in metres (m). The d-values (in Angstrom) and integral breadths (IB, delta 2theta) of the clay minerals smectite and illite as well as the ratios between the areas of the 5 Angstrom and 10 Angstrom peaks of illite are also given. The clay mineral data were generated and analysed by Dr Claus-Dieter Hillenbrand (British Antarctic Survey, Cambridge, United Kingdom) and Prof Werner Ehrmann (Institute of Geophysics and Geology, University of Leipzig, Germany). Users of this dataset should cite the dataset DOI and acknowledge both the data generators (C.-D. Hillenbrand and W. Ehrmann) and the International Ocean Discovery Program (IODP). The work was funded by NERC UK-IODP Moratorium Award NE/T010975/1.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. Citation: Hillenbrand, C.-D., & Ehrmann, W. (2023). Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1532B, Amundsen Sea, West Antarctica (2019) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/0502846D-3AC3-46E9-AA2C-27ADBE9367FD
Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1532G, Amundsen Sea, West Antarctica (2019)
This data set presents contents of the clay minerals smectite, illite, chlorite and kaolinite analysed on the clay fraction (less than 2 micrometers) of Pleistocene-Holocene drift sediments recovered at Hole U1532G on the Amundsen Sea continental rise during IODP Exp379 with RV JOIDES Resolution in Jan-Mar 2019. The clay mineral contents are given in percentages (%) both versus expedition number, site number, hole ID, core number, drill core type (H: advanced piston corer system, X: extended core barrel system; R: rotary core barrel system), section number (sect), section half (W: work; A: archive) and depth of the top and bottom of the sample within a section or core catcher (CC) in centimetres (cm) and versus depth below seafloor (CSF-A) in metres (m). The d-values (in Angstrom) and integral breadths (IB, delta 2theta) of the clay minerals smectite and illite as well as the ratios between the areas of the 5 Angstrom and 10 Angstrom peaks of illite are also given. The clay mineral data were generated and analysed by Dr Claus-Dieter Hillenbrand (British Antarctic Survey, Cambridge, United Kingdom) and Prof Werner Ehrmann (Institute of Geophysics and Geology, University of Leipzig, Germany). Users of this dataset should cite the dataset DOI and acknowledge both the data generators (C.-D. Hillenbrand and W. Ehrmann) and the International Ocean Discovery Program (IODP). The work was funded by NERC UK-IODP Moratorium Award NE/T010975/1.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. Citation: Hillenbrand, C.-D., & Ehrmann, W. (2023). Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1532G, Amundsen Sea, West Antarctica (2019) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/F3C8C5E2-F8C2-4938-A7E0-6FDC9BEDB412
Complementary Geochemical, mineralogical and microbiological analyses of materials collected on the Greenland Ice Sheet
This dataset comprises of geochemical, mineralogical and microbiological analyses of material collected on the southwestern margin of the Greenland Ice Sheet in 2016 and 2017. Stream water, melted ice and snow samples were collected and analysed for carbon, nitrogen, phosphorus, cation and anion concentrations, pH, conductivity, total dissolved solids (TDS), mineral phase and class abundances and Rare Earth Elements (REE). Microbial community composition was also analysed. In addition, the results of a nutrient incubation experiment are also presented.The data were collected as part of a project investigating drivers of glacial ice algal growth on the Greenland Ice Sheet. We acknowledge funding from UK Natural Environment Research Council Consortium Grant, Black and Bloom (NE/M020770/1, NE/M021025/1 and NE/S001670/1). LGB and SL acknowledge funding from the German Helmholtz Recruiting Initiative (award number: I-044-16-01). LGB, AMA, and MT were also supported through an ERC Synergy Grant (''Deep Purple'' grant # 856416) from the European Research Council (ERC)
No data were excluded from the study. Reproducibility in the data was verified by collecting and analysing as many samples as was possible given the time and space constraints of remote fieldwork. This study characterized heterogeneous naturally occurring samples and therefore randomisation was not required.
40Ar/39Ar geochronology of basaltic samples from Bruce Bank and Jane Bank of the Scotia Sea
The datasets refer to the dating of three basaltic samples collected from Bruce Bank and Jane Bank in the southern Scotia Sea. The samples were dredged from depths between 850 -1900 m from steep scrap slopes at two locations (DR.225: 59.927 degrees S, 39.154 degrees W; DR.84: 62.468 degrees S, 039.785 degrees W). The files include full analytical datasets for 40Ar/39Ar analysis of whole rock and plagioclase mineral separates performed at the Open University, UK in June 2022. This project was funded by NERC NC-ALI funding to Geology & Geophysics.
This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. Cite this dataset as follows: Riley, T. (2023). 40Ar/39Ar geochronology of basaltic samples from Bruce Bank and Jane Bank of the Scotia Sea (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/417A7F70-4FF2-428E-829D-0423772F66B4
Results were corrected for 37Ar and 39Ar decay, and neutron-induced interference reactions. The following correction factors were used: (39Ar/37Ar)Ca = 0.00065 ± 0.00000325, (36Ar/37Ar)Ca = 0.000265 ± 0.000001325, and (40Ar/39Ar)K = 0.0085 ± 0.0000425; based on analyses of Ca and K salts. Data corrections carried out using an Excel macro. A calibration noble gas mixture was used with known concentration. Neutron flux was monitored using biotite mineral standard GA1550.
Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1533A, Amundsen Sea, West Antarctica (2019)
This data set presents contents of the clay minerals smectite, illite, chlorite and kaolinite analysed on the clay fraction (less than 2 micrometers) of Pleistocene-Holocene drift sediments recovered at Hole U1533A on the Amundsen Sea continental rise during IODP Exp379 with RV JOIDES Resolution in Jan-Mar 2019. The clay mineral contents are given in percentages (%) both versus expedition number, site number, hole ID, core number, drill core type (H: advanced piston corer system, X: extended core barrel system; R: rotary core barrel system), section number (sect), section half (W: work; A: archive) and depth of the top and bottom of the sample within a section or core catcher (CC) in centimetres (cm) and versus depth below seafloor (CSF-A) in metres (m). The d-values (in Angstrom) and integral breadths (IB, delta 2theta) of the clay minerals smectite and illite as well as the ratios between the areas of the 5 Angstrom and 10 Angstrom peaks of illite are also given. The clay mineral data were generated and analysed by Dr Claus-Dieter Hillenbrand (British Antarctic Survey, Cambridge, United Kingdom) and Prof Werner Ehrmann (Institute of Geophysics and Geology, University of Leipzig, Germany). Users of this dataset should cite the dataset DOI and acknowledge both the data generators (C.-D. Hillenbrand and W. Ehrmann) and the International Ocean Discovery Program (IODP). The work was funded by NERC UK-IODP Moratorium Award NE/T010975/1.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. Citation: Hillenbrand, C.-D., & Ehrmann, W. (2023). Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1533A, Amundsen Sea, West Antarctica (2019) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/287C6403-9F9F-45F9-A34E-49E69F870B99
Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1533D, Amundsen Sea, West Antarctica (2019)
This data set presents contents of the clay minerals smectite, illite, chlorite and kaolinite analysed on the clay fraction (less than 2 micrometers) of Pleistocene-Holocene drift sediments recovered at Hole U1533D on the Amundsen Sea continental rise during IODP Exp379 with RV JOIDES Resolution in Jan-Mar 2019. The clay mineral contents are given in percentages (%) both versus expedition number, site number, hole ID, core number, drill core type (H: advanced piston corer system, X: extended core barrel system; R: rotary core barrel system), section number (sect), section half (W: work; A: archive) and depth of the top and bottom of the sample within a section or core catcher (CC) in centimetres (cm) and versus depth below seafloor (CSF-A) in metres (m). The d-values (in Angstrom) and integral breadths (IB, delta 2theta) of the clay minerals smectite and illite as well as the ratios between the areas of the 5 Angstrom and 10 Angstrom peaks of illite are also given. The clay mineral data were generated and analysed by Dr Claus-Dieter Hillenbrand (British Antarctic Survey, Cambridge, United Kingdom) and Prof Werner Ehrmann (Institute of Geophysics and Geology, University of Leipzig, Germany). Users of this dataset should cite the dataset DOI and acknowledge both the data generators (C.-D. Hillenbrand and W. Ehrmann) and the International Ocean Discovery Program (IODP). The work was funded by NERC UK-IODP Moratorium Award NE/T010975/1.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. Citation: Hillenbrand, C.-D., & Ehrmann, W. (2023). Clay mineral composition of sediments from International Ocean Discovery Program (IODP) Expedition 379 Hole U1533D, Amundsen Sea, West Antarctica (2019) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/B86984D2-8D73-4731-BAD7-701A8CB43534
EARTH SCIENCE > Oceans > Ocean Chemistry > Nitrous Oxide
EARTH SCIENCE > Biosphere > Ecological Dynamics > Population Dynamics
EARTH SCIENCE > Sun-earth Interactions > Solar Activity
EARTH SCIENCE > Sun-earth Interactions > Solar Energetic Particle Flux
EARTH SCIENCE > Oceans > Marine Sediments
International Ocean Discovery Program (IODP)
EARTH SCIENCE > Land Surface > Soils > Microfauna
EARTH SCIENCE > Solid Earth > Geochemistry > Marine Geochemistry
Polar Data Centre - British Antarctic Survey
Ionospheric vorticity across the northern hemisphere ionosphere determined from particular SuperDARN radar pairs - 2000 to 2005 inclusive
The data set comprises ionospheric vorticity estimates determined from measurements of ionospheric velocity made by overlapping pairs of northern hemisphere radars in the Super Dual Auroral Radar Network (SuperDARN). The vorticity estimates are separated into data files for each pair of SuperDARN radars that contributed to the whole data set. These data cover large regions of the northern hemisphere polar ionosphere, and the locations of the vorticity estimates are presented in both geographic and Altitude-Adjusted Corrected GeoMagnetic (AACGM) co-ordinates. The data cover the interval from 2000 to 2005 inclusive. This work was funded by NERC grant reference NE/R016038/1.
Data supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
The overall quality of the vorticity estimates is highly dependent on the raw SuperDARN velocity data that provide the primary data source. These are generally of high quality with low errors. The quality of the vorticity estimates is mostly affected by missing velocity data around the closed loops. To mitigate this, the vorticity estimates are only determined when adequate SuperDARN velocity data covering all sides of the closed loop are available. See Chisham et al. (2009) for full details regarding data quality.
Simulated changes in East Antarctic mass balance and grounded area in response to a shift to circumpolar deep water forced melting from the present-day oceanic regime
The dataset contains processed model output of future simulations of the East Antarctic Ice Sheet using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource). Simulations were run for 200 years comparing the impact of both an intermediate (RCP4.5 emissions scenario) and extreme (RCP8.5 emissions scenario) as well as maintaining the current oceanic regime or switching to one dominated by circumpolar deep water intrusions. A reference run with constant present-day forcing is also included to assess the relative impacts of the various forcing scenarios. This work was primarily funded by the Natural Environment Research Council, grant number NE/R000719/1. James Jordan, Hilmar Gudmundsson and Adrian Jenkins received funding from the European Union''s Horizon 2020 research and innovation program under grant agreement no. 869304, PROTECT. Bertie Miles was also supported by a Leverhulme Early Career Fellowship (ECF-2021-484).
To account for model bias a baseline run with constant forcing was performed. To account for errors in the ocean and atmospheric forcing applied two further runs were performed for each emission scenario, a "positive bias" mass balance (high precipitation, low ocean melting) and "negative bias" mass balance (low precipitation, high ocean melting) to capture the envelope of expected results.
Forecast regression model of the northern Super Dual Auroral Radar Network (SuperDARN) high-latitude ionospheric plasma motion built from data interval 1997-2008 inclusive
A forecast model of the northern high-latitude ionospheric plasma motion as observed by the SuperDARN radars. The model comprises a set of regression coefficients. The user needs to specify the day-of-year and the monthly mean of the solar radio flux at 10.7 cm/2800 MHz, often called the f10.7 index. They also need to provide the value of the interplanetary magnetic field (IMF) component By and the Sun-Earth component of the solar wind velocity Vx, both in geocentric solar magnetospheric (GSM) coordinates. The regression coefficients are provided as two files, one can be used to model the north-south (NS) component of the plasma motion and the other to model the east-west (EW) component of the motion. Funding was provided by NERC standard grant numbers: NE/V002732/1, NE/N01099X/1, NE/V00283X/1, NE/V002686/1 and NE/T000937/1.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
The SuperDARN radar observations were processed to remove ground scatter, and to eliminate measurements with too low power (lower than 3dB), or which had a poor-quality flag (identified in RSTv4.0). When binning the data, range gates below 11 and above 150 (where those values correspond to a multiple of the 45 km range distance from the radar array location) were not used, since these gave inaccurate locational estimates. The Shore et al. (2022) eigenanalyses of the radar data were performed on a spatial grid with 559 locations, so we keep the same grid for consistency. We recombined all 10 spatial and temporal modes for the 12-year interval. The resulting velocities have NaN (not a number) values for co-latitudes greater than 30 degrees, and for the single point exactly at the pole. For this reason, our forecast model regression coefficients also have NaN values for co-latitudes greater than 30 degrees and the pole.
Airborne synthetic aperture radar ice-sounding depth profiles from Recovery Ice Stream 2016/17, and calibration data from Rothera 2016/17 and 2019/20
This data set corresponds to the processing of data acquired by the British Antarctic Survey (BAS) airborne Synthetic Aperture Radar (SAR) PASIN2 (Polarimetric Airborne Scientific INstrument, mark 2), designed for deep ice sounding and basal 3D-mapping. The dataset includes the processed calibration data collected over the sea surface near Rothera Research Station during the Antarctic Summers campaigns in 2016/17 FISS (Filchner Ice Shelf System) and 2019/20 BEAMISH (Bed Access, Monitoring and Ice Sheet History) projects, and the processed SAR images as depth profiles in the Recovery Ice Stream near its grounding line, in 2016/17 (FISS). With multiple antennas for transmission and reception at 150-MHz central frequency, and an across-track physical array, PASIN2 resolves the ambiguities for distinguishing between scatterers from port and starboard directions. After processing several 2D SAR images (range and along-track dimensions) with transmitter-receiver pairs, the directional ambiguities are resolved, obtaining the across-track Direction of Arrival (DoA, elevation angle) estimation. Finally, from the 3D geometry of range, along-track and across-track angle, the real depths and across-track distances are estimated, regarding the case of the incorrectly assumed vertical DoA of a single SAR image. The calibration flights assessed and validated the instrument antenna patterns and processing performances. In this dataset, only the simulated and measured antenna patterns, and SAR and DoA images are included. By resolving directional ambiguities and accounting for reflector across-track location, the true ice thickness and bed elevation are obtained, thereby removing the error of the usual assumption of vertical DoA, that greatly influence the output of flow models of ice dynamics. This work was supported by NERC grant reference NE/L013444/1.
The amplitude and relative phase of the antenna patterns in transmission (as an array of 4 antennas) and reception (as 12 single and independent antennas), were assessed with calibration flights above the sea surface. The patterns are assumed as invariant along each session, if the antenna configuration remains. Direction of Arrival (DoA) estimation algorithms were evaluated with calibration flights. The transmitted radar pulses are not calibrated, as parameter drifts are not expected to affect the quality. In the receiver units, during each flight there is a drift in the recording, causing a delay and phase drift in the sampled data, which is corrected when combining the several SAR images to process a single Direction of Arrival (DoA) image.
EARTH SCIENCE > Spectral/Engineering > Radar
EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics
EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Electric Fields/Electric Currents
EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Magnetic Fields/Magnetic Currents
EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Solar Wind
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Mass Balance/Ice Sheet Mass Balance
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets
EARTH SCIENCE > Oceans > Ocean Circulation > Water Masses
EARTH SCIENCE > Oceans > Ocean Temperature > Water Temperature
EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Plasma Waves
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Thickness/Ice Sheet Thickness
EARTH SCIENCE > Spectral/Engineering > Radar > Radar Imagery