Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains
Description Airborne multi-frequency altimetry observations (ellipsoidal heights) computed using threshold-first-maxima-retracker-algorithm (TFMRA) at 40, 50 and 80%, maximum scattering, and peakiness (PEAK) and continous wavelet (CWT) re-trackers. Methodology is described in related publication (wi...
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Online Access: | https://doi.org/10.11583/dtu.26732227.v1 https://figshare.com/articles/dataset/_b_Airborne_b_ellipsoidal_elevations_and_derived_snow_depths_from_b_Ka-_Ku-_C_S-band_b_and_b_lidar_b_observations_along_b_CRYO2ICEANT22_b_under-flight_13_December_2022_along_co-located_b_CRYO2ICE_b_CryoSat-2_and_ICESat-2_observations_of_sno/26732227 |
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ftdtufig:oai:figshare.com:article/26732227 2024-10-06T13:42:45+00:00 Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains Renée Mie Fredensborg Hansen Henriette Skourup Isobel Lawrence Jilu Li Fernando Rodriguez-Morales Donghui Yi 2024-09-12T12:45:15Z https://doi.org/10.11583/dtu.26732227.v1 https://figshare.com/articles/dataset/_b_Airborne_b_ellipsoidal_elevations_and_derived_snow_depths_from_b_Ka-_Ku-_C_S-band_b_and_b_lidar_b_observations_along_b_CRYO2ICEANT22_b_under-flight_13_December_2022_along_co-located_b_CRYO2ICE_b_CryoSat-2_and_ICESat-2_observations_of_sno/26732227 unknown doi:10.11583/dtu.26732227.v1 https://figshare.com/articles/dataset/_b_Airborne_b_ellipsoidal_elevations_and_derived_snow_depths_from_b_Ka-_Ku-_C_S-band_b_and_b_lidar_b_observations_along_b_CRYO2ICEANT22_b_under-flight_13_December_2022_along_co-located_b_CRYO2ICE_b_CryoSat-2_and_ICESat-2_observations_of_sno/26732227 CC BY 4.0 Climate change science not elsewhere classified Geophysics not elsewhere classified Earth system sciences Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 Antarctic Southern Ocean Sea Ice Snow depth Snow Altimetry multi-frequency dual-frequency laser radar Dataset 2024 ftdtufig https://doi.org/10.11583/dtu.26732227.v1 2024-09-12T23:36:27Z Description Airborne multi-frequency altimetry observations (ellipsoidal heights) computed using threshold-first-maxima-retracker-algorithm (TFMRA) at 40, 50 and 80%, maximum scattering, and peakiness (PEAK) and continous wavelet (CWT) re-trackers. Methodology is described in related publication (will be added once sent to review in EGUsphere). Airborne ellipsoidal heights are compared with airborne laser observations (swath and nadir vertical profile) at both Ka-, Ku- and C/S-band. Furthermore, snow depth is derived using different combinations of re-trackers, and instruments. Furthermore, snow depth is derived from the near-coincident laser and radar satellite altimeters ICESat-2 and CryoSat-2 along a CRYO2ICE orbit (during the under-flight where the airborne observations were carried out). Here, three snow depth estimates are proposed computed using three different CryoSat-2 products. These are compared with other snow depth estimates from CASSIS and AMSR2 (check data availability statement in preprint). Finally, the airborne and CRYO2ICE snow depths are compared binned to the resolution of CRYO2ICE and to 25 km segments. Files kuband_20221213_02_74_232_002, kaband_20221213_02_74_232_002, and snow_20221213_02_74_232_002: ellipsoidal elevations derived using different re-trackers. Includes also additional waveform information available from the original data provided by CReSIS. df_airborne_roughness: data file including all relevant airborne ellipsoidal elevations after postprocessing including application of offset calibration, identification of nadir laser profile, and lead/floe discrimination of the observations. Snow depth using different re-trackers is also available. "CRYO2ICE"-files: the estimates CRYO2ICE files + snow depth along satellites using three different CryoSat-2 products and the ICESat-2 ATL10 product. Processing Data produced using code provided at GitHub. Dataset Antarc* Antarctic Sea ice Southern Ocean Technical University of Denmark (DTU): Fighsare Antarctic Southern Ocean |
institution |
Open Polar |
collection |
Technical University of Denmark (DTU): Fighsare |
op_collection_id |
ftdtufig |
language |
unknown |
topic |
Climate change science not elsewhere classified Geophysics not elsewhere classified Earth system sciences Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 Antarctic Southern Ocean Sea Ice Snow depth Snow Altimetry multi-frequency dual-frequency laser radar |
spellingShingle |
Climate change science not elsewhere classified Geophysics not elsewhere classified Earth system sciences Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 Antarctic Southern Ocean Sea Ice Snow depth Snow Altimetry multi-frequency dual-frequency laser radar Renée Mie Fredensborg Hansen Henriette Skourup Isobel Lawrence Jilu Li Fernando Rodriguez-Morales Donghui Yi Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains |
topic_facet |
Climate change science not elsewhere classified Geophysics not elsewhere classified Earth system sciences Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 Antarctic Southern Ocean Sea Ice Snow depth Snow Altimetry multi-frequency dual-frequency laser radar |
description |
Description Airborne multi-frequency altimetry observations (ellipsoidal heights) computed using threshold-first-maxima-retracker-algorithm (TFMRA) at 40, 50 and 80%, maximum scattering, and peakiness (PEAK) and continous wavelet (CWT) re-trackers. Methodology is described in related publication (will be added once sent to review in EGUsphere). Airborne ellipsoidal heights are compared with airborne laser observations (swath and nadir vertical profile) at both Ka-, Ku- and C/S-band. Furthermore, snow depth is derived using different combinations of re-trackers, and instruments. Furthermore, snow depth is derived from the near-coincident laser and radar satellite altimeters ICESat-2 and CryoSat-2 along a CRYO2ICE orbit (during the under-flight where the airborne observations were carried out). Here, three snow depth estimates are proposed computed using three different CryoSat-2 products. These are compared with other snow depth estimates from CASSIS and AMSR2 (check data availability statement in preprint). Finally, the airborne and CRYO2ICE snow depths are compared binned to the resolution of CRYO2ICE and to 25 km segments. Files kuband_20221213_02_74_232_002, kaband_20221213_02_74_232_002, and snow_20221213_02_74_232_002: ellipsoidal elevations derived using different re-trackers. Includes also additional waveform information available from the original data provided by CReSIS. df_airborne_roughness: data file including all relevant airborne ellipsoidal elevations after postprocessing including application of offset calibration, identification of nadir laser profile, and lead/floe discrimination of the observations. Snow depth using different re-trackers is also available. "CRYO2ICE"-files: the estimates CRYO2ICE files + snow depth along satellites using three different CryoSat-2 products and the ICESat-2 ATL10 product. Processing Data produced using code provided at GitHub. |
format |
Dataset |
author |
Renée Mie Fredensborg Hansen Henriette Skourup Isobel Lawrence Jilu Li Fernando Rodriguez-Morales Donghui Yi |
author_facet |
Renée Mie Fredensborg Hansen Henriette Skourup Isobel Lawrence Jilu Li Fernando Rodriguez-Morales Donghui Yi |
author_sort |
Renée Mie Fredensborg Hansen |
title |
Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains |
title_short |
Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains |
title_full |
Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains |
title_fullStr |
Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains |
title_full_unstemmed |
Airborne ellipsoidal elevations and derived snow depths from Ka-, Ku-, C/S-band and lidar observations along CRYO2ICEANT22 under-flight (13 December 2022) along co-located CRYO2ICE (CryoSat-2 and ICESat-2) observations of snow depth using CryoTEMPO , FF-SAR and ESA-E CryoSat-2 processing chains |
title_sort |
airborne ellipsoidal elevations and derived snow depths from ka-, ku-, c/s-band and lidar observations along cryo2iceant22 under-flight (13 december 2022) along co-located cryo2ice (cryosat-2 and icesat-2) observations of snow depth using cryotempo , ff-sar and esa-e cryosat-2 processing chains |
publishDate |
2024 |
url |
https://doi.org/10.11583/dtu.26732227.v1 https://figshare.com/articles/dataset/_b_Airborne_b_ellipsoidal_elevations_and_derived_snow_depths_from_b_Ka-_Ku-_C_S-band_b_and_b_lidar_b_observations_along_b_CRYO2ICEANT22_b_under-flight_13_December_2022_along_co-located_b_CRYO2ICE_b_CryoSat-2_and_ICESat-2_observations_of_sno/26732227 |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Sea ice Southern Ocean |
op_relation |
doi:10.11583/dtu.26732227.v1 https://figshare.com/articles/dataset/_b_Airborne_b_ellipsoidal_elevations_and_derived_snow_depths_from_b_Ka-_Ku-_C_S-band_b_and_b_lidar_b_observations_along_b_CRYO2ICEANT22_b_under-flight_13_December_2022_along_co-located_b_CRYO2ICE_b_CryoSat-2_and_ICESat-2_observations_of_sno/26732227 |
op_rights |
CC BY 4.0 |
op_doi |
https://doi.org/10.11583/dtu.26732227.v1 |
_version_ |
1812176977552998400 |