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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Main Authors: Renée Mie Fredensborg Hansen, Henriette Skourup, Isobel Lawrence, Jilu Li, Fernando Rodriguez-Morales, Donghui Yi
Format: Dataset
Language:unknown
Published: 2024
Subjects:
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
id ftdtufig:oai:figshare.com:article/26732227
record_format openpolar
spelling 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
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