Hutter, Nils; Hendricks, Stefan; Jutila, Arttu; Birnbaum, Gerit; von Albedyll, Luisa; Ricker, Robert; Haas, Christian (2023): Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition flight 20191225_01, version 1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.950444, In: Hutter, N et al. (2023): Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.950339
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Abstract:
This data set is a higher-processing-level version of Geolocated sea-ice or snow surface elevation point clouds from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), where the surface elevation point cloud has been converted to freeboard using automatic open water detection scheme and projected onto a regular 0.5-meter grid. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The gridded data are stored in 30-second along-track segments in netCDF format. For the small scale grid flights, the data are drift corrected using the position and heading data of RV Polarstern and elevation offset corrected using overlapping segments to overcome degraded GPS altitude data >85°N. Open water points are identified to derive a freeboard estimate from the surface elevations. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate (grid pattern flights) or no freeboard (transects). The gridded 30-s segments include as data variables: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. In addition, list of detected open water points and an overview figure of each flight is provided.
Keyword(s):
Related to:
Hutter, Nils; Hendricks, Stefan; Jutila, Arttu; Birnbaum, Gerit; von Albedyll, Luisa; Ricker, Robert; Haas, Christian (2023): Merged grids of sea-ice or snow freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.950896
Hutter, Nils; Hendricks, Stefan; Jutila, Arttu; Ricker, Robert; von Albedyll, Luisa; Birnbaum, Gerit; Haas, Christian (2023): Digital elevation models of the sea-ice surface from airborne laser scanning during MOSAiC. Scientific Data, 10(1), 729, https://doi.org/10.1038/s41597-023-02565-6
Jutila, Arttu; Hendricks, Stefan; Birnbaum, Gerit; von Albedyll, Luisa; Ricker, Robert; Helm, Veit; Hutter, Nils; Haas, Christian (2023): Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition, version 1 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.950509
Further details:
Nicolaus, Marcel; Perovich, Donald K; Spreen, Gunnar; Granskog, Mats A; von Albedyll, Luisa; Angelopoulos, Michael; Anhaus, Philipp; Arndt, Stefanie; Belter, Hans Jakob; Bessonov, Vladimir; Birnbaum, Gerit; Brauchle, Jörg; Calmer, Radiance; Cardellach, Estel; Cheng, Bin; Clemens-Sewall, David; Dadic, Ruzica; Damm, Ellen; de Boer, Gijs; Demir, Oguz; Dethloff, Klaus; Divine, Dmitry V; Fong, Allison A; Fons, Steven W; Frey, Markus M; Fuchs, Niels; Gabarró, Carolina; Gerland, Sebastian; Goessling, Helge; Gradinger, Rolf; Haapala, Jari; Haas, Christian; Hamilton, Jonathan; Hannula, Henna-Reetta; Hendricks, Stefan; Herber, Andreas; Heuzé, Céline; Hoppmann, Mario; Høyland, Knut Vilhelm; Huntemann, Marcus; Hutchings, Jennifer K; Hwang, Byongjun; Itkin, Polona; Jacobi, Hans-Werner; Jaggi, Matthias; Jutila, Arttu; Kaleschke, Lars; Katlein, Christian; Kolabutin, Nikolai; Krampe, Daniela; Kristensen, Steen Savstrup; Krumpen, Thomas; Kurtz, Nathan; Lampert, Astrid; Lange, Benjamin Allen; Lei, Ruibo; Light, Bonnie; Linhardt, Felix; Liston, Glen E; Loose, Brice; Macfarlane, Amy R; Mahmud, Mallik; Matero, Ilkka; Maus, Sönke; Morgenstern, Anne; Naderpour, Reza; Nandan, Vishnu; Niubom, Alexey; Oggier, Marc; Oppelt, Natascha; Pätzold, Falk; Perron, Christophe; Petrovsky, Tomasz; Pirazzini, Roberta; Polashenski, Chris; Rabe, Benjamin; Raphael, Ian; Regnery, Julia; Rex, Markus; Ricker, Robert; Riemann-Campe, Kathrin; Rinke, Annette; Rohde, Jan; Salganik, Evgenii; Scharien, Randall K; Schiller, Martin; Schneebeli, Martin; Semmling, Maximilian; Shimanchuk, Egor; Shupe, Matthew D; Smith, Madison M; Smolyanitsky, Vasily M; Sokolov, Vladimir; Stanton, T; Stroeve, Julienne C; Thielke, Linda; Timofeeva, Anna; Tonboe, Rasmus Tage; Tavri, Aikaterini; Tsamados, Michel; Wagner, David N; Watkins, Daniel; Webster, Melinda; Wendisch, Manfred (2022): Overview of the MOSAiC expedition: Snow and sea ice. 10(1), https://doi.org/10.1525/elementa.2021.000046
SENSOR: Metadata for light detection and ranging riegl-vq580 (riegl-vq580-s9997784) at current Version. Alfred Wegener Institut Helmholtz Centre for Polar and Marine Research, hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550
SENSOR: Metadata for light detection and ranging riegl-vq580 (riegl-vq580-s9999057) at current Version. Alfred Wegener Institut Helmholtz Centre for Polar and Marine Research, hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31
Project(s):
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0866A: MOSAiC 1 - IceSense: Fernerkundung der saisonalen Entwicklung klimarelevanter Meereis-Eigenschaften; Leitantrag; Vorhaben: Saisonale Veränderungen von Eisdicken und Schmelztümpeln
Coverage:
Median Latitude: 86.626130 * Median Longitude: 115.107275 * South-bound Latitude: 86.625631 * West-bound Longitude: 115.081949 * North-bound Latitude: 86.626629 * East-bound Longitude: 115.132601
Date/Time Start: 2019-12-25T14:07:54 * Date/Time End: 2019-12-25T15:40:26
Minimum Elevation: -4411.5 m * Maximum Elevation: -4411.5 m
Event(s):
PS122/2_17-99 (20191225_01) * Latitude Start: 86.625631 * Longitude Start: 115.081949 * Latitude End: 86.626629 * Longitude End: 115.132601 * Date/Time Start: 2019-12-25T14:07:00 * Date/Time End: 2019-12-25T15:40:00 * Elevation Start: -4411.5 m * Elevation End: -4411.5 m * O2A Registry URI: registry.o2a-data.de * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Helicopter (HELI) * Comment: Continuation of the floe CO grid on the previous day with ALS + IR-camera.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Flight number | Flight | Hutter, Nils | |||
| 2 | DATE/TIME | Date/Time | Hutter, Nils | Geocode – start | ||
| 3 | DATE/TIME | Date/Time | Hutter, Nils | Geocode – end | ||
| 4 | LATITUDE | Latitude | Hutter, Nils | Geocode – min | ||
| 5 | LATITUDE | Latitude | Hutter, Nils | Geocode – max | ||
| 6 | LONGITUDE | Longitude | Hutter, Nils | Geocode – min | ||
| 7 | LONGITUDE | Longitude | Hutter, Nils | Geocode – max | ||
| 8 | Binary Object | Binary | Hutter, Nils |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
374 data points