Published April 1, 2024 | Version 0
Dataset Open

Data For: A Framework for Automated Supraglacial Lake Detection and Depth Retrieval in ICESat-2 Photon Data Across the Greenland and Antarctic Ice Sheets

Creators

  • 1. Scripps Institution of Oceanography, UC San Diego
  • 2. Scripps Institution of Oceanography

Contributors

Data curator:

  • 1. Scripps Institution of Oceanography
  • 2. Scripps Institution of Oceanography, UC San Diego

Description

HDF5 data files for 1249 supraglacial lakes detected in ICESat-2 ATL03 data over Central West Greenland (melt seasons 2019 and 2020) and the Amery Ice Shelf Catchment (melt seasons 2018-19 and 2020-21). Each HDF5 data file is associated with a .jpg "quicklook" file of the same name, showing ATL03 photon elevations with the estimated along-track fits to the lake surface and lakebed and the resulting maximum lake depth, along with the corresponding ICESat-2 ground track over cloud-free concurrent satellite imagery.

The data files are structured as following: 

group: depth_data/
  - dataset: bathymetry_confidence
  - dataset: lakebed_fit_elevation_meters
  - dataset: lat
  - dataset: lon
  - dataset: surface_fit_elevation_meters
  - dataset: water_depth_meters
  - dataset: x_along_track_meters
group: fluid_bathymetry_peaks/
  - dataset: elevation_meters
  - dataset: peak_prominence
  - dataset: x_along_track_meters
group: mframe_data/
  - dataset: delta_time
  - dataset: density_ratio_1
  - dataset: density_ratio_2
  - dataset: density_ratio_3
  - dataset: density_ratio_4
  - dataset: major_frame_id
  - dataset: passes_bathymetry_check
  - dataset: passes_flatness_check
  - dataset: photon_density_peak_elevation
  - dataset: q_1_number_peaks
  - dataset: q_2_prominece
  - dataset: q_3_elev_spread
  - dataset: q_4_alignment
  - dataset: q_s
  - dataset: x_along_track_meters_end
  - dataset: x_along_track_meters_start
group: photon_data/
  - dataset: afterpulse_probability
  - dataset: fluid_signal_confidence
  - dataset: geoid_elevation_meters
  - dataset: lat
  - dataset: lon
  - dataset: photon_elevation_above_geoid_meters
  - dataset: pulse_saturation_level
  - dataset: x_along_track_meters
group: properties/
  - dataset: beam_number
  - dataset: beam_strength
  - dataset: cycle_number
  - dataset: granule_id
  - dataset: gtx
  - dataset: ice_sheet
  - dataset: lake_quality
  - dataset: lat
  - dataset: lon
  - dataset: melt_season
  - dataset: rgt
  - dataset: sc_orient
  - dataset: surface_elevation
  - dataset: time_utc

Files

Files (1.0 GB)

Name Size Download all
md5:59d33ba47dcd0acda9ad5349dd72e7c1
1.0 GB Download

Additional details

Funding

EXPLOITATION OF ICESAT-2'S UNIQUE CAPABILITIES AND MACHINE LEARNING FOR IMPROVED UNDERSTANDING OF MASS BALANCE PROCESSES ACROSS ALL ANTARCTIC ICE SHELVES 80NSSC20K1666
National Aeronautics and Space Administration
ICESat-2 Science Team: Studying three decades of mass balance processes of Antarctic ice shelves with ICESat-2, IceBridge, CryoSat-2 and earlier altimetry missions 80NSSC20K0977
National Aeronautics and Space Administration
ICESat-2 Science Team: Quantifying the processes affecting the buttressing capacity of East Antarctica's ice shelves with ICESat-2, CryoSat-2 and optical satellite imagery 80NSSC23K0934
National Aeronautics and Space Administration
Partnership to Advance Throughput Computing (PATh) 2030508
National Science Foundation
S2I2: Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) 1836650
National Science Foundation

Dates

Available
2024-04-01