Helm, Veit (2024): Convolutional neural network training dataset and results of AWI-ICENet1 retracker [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.964596
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Abstract:
This data set include the simulated and corresponding reference data in binary format used for the training of the AWI-ICENet1 retracker algorithm, which is a convolutional neural network (CNN). The simulation is carried out at 1000 randomly selected locations spread over the Antarctic ice sheet. At each location a reference waveform is simulated based on the local topography. This waveform is modulated using 95 different attenuation rates ranging from 1 to 20 dB (step width 0.2 dB). Finally 45 noisy waveforms are generated from each modulated waveform. Therefore, at each location 95*40=3800 waveforms are generated. The simulated data consist of a total of 3.8 Mio waveforms. The AWI-ICENet1 retracker is applied to the full CryoSat-2 time series. Monthly elevation change is estimated for Greenland and Antarctica and compared to estimates derived from ICESat-2. Here, we provide raster data sets of the elevation change, rates of elevation change and additional parameters such as correlation with backscatter and leading edge width as netcdf files. The CryoSat-2 elevation change products of AWI-ICENet1 are estimated for the time periods: 2011-2022, 2019-2022 for Greenland and Antarctica and 2011-2014 for Greenland only and are provided as monthly gridded georeferenced netcdf files. As input to the AWI processing we used the reprocessed Baseline_E Level_1B waveform product provided by ESA. Additional we provide the ICESat-2 elevation change products for 2019-2022 for Greenland and Antarctica as monthly gridded georeferenced netcdf files which are based on the same processing strategy. As input to our processing we used the ATL06.006 ICESat-2 data product provided by NASA.
Related to:
Helm, Veit; Dehghanpour, Alireza; Hänsch, Ronny; Loebel, Erik; Horwath, Martin; Humbert, Angelika (in review): AWI-ICENet1: A convolutional neural network retracker for ice altimetry. https://doi.org/10.5194/tc-2023-80
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 442929109: Advancing ice altimetry analysis to constrain the Antarctic Ice Sheet's response to climate change
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Helmholtz Association of German Research Centres (HGF), grant/award no. ZT-I-0016: Artificial Intelligence for Cold Regions (AI-CORE)
Coverage:
Median Latitude: -26.166667 * Median Longitude: -134.833333 * South-bound Latitude: -90.000000 * West-bound Longitude: 180.000000 * North-bound Latitude: 84.000000 * East-bound Longitude: -12.000000
Date/Time Start: 2011-01-01T00:00:00 * Date/Time End: 2022-12-31T00:00:00
Event(s):
CNN_AWI-ICENet1_CY_LRM_ANT * Latitude Start: -60.000000 * Longitude Start: -180.000000 * Latitude End: -90.000000 * Longitude End: 180.000000 * Location: Antarctica
Comment:
We provide for each of the 1000 locations 3 different binary files.
The first file named as e.g. ATT_ARR_000958.bin contains the 95 attenuation settings. This is a double precision file of size 760 Byte.
The second file named as e.g REF_ARR_000958.bin contains the 95 reference retracking positions. This is a double precision file of size 760 Byte.
The third file named as e.g. SIM_WF_NOISE_000958.bin contains the 3800 waveforms. A single waveform consist of 128 samples. This is a floating-point precision file of size 1945600 Byte. In addition a file named RANDOM_POINT_LIST_4326.dat is provided which contains the 1000 geographic locations (Id/Longitude/Latitude). This is a double-precision binary file of size 24000 Byte.
The netcdf files are self explaining and include monthly raster data sets of various variables.
The projection is EPSG:3031 for Antarctica and EPSG:3413 for Greenland. Pixel resolution is 5km.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Helm, Veit | |||
| 2 | Location | Location | Helm, Veit | |||
| 3 | DATE/TIME | Date/Time | Helm, Veit | Geocode – start | ||
| 4 | DATE/TIME | Date/Time | Helm, Veit | Geocode – end | ||
| 5 | Binary Object | Binary | Helm, Veit | |||
| 6 | Binary Object (File Size) | Binary (Size) | Bytes | Helm, Veit | ||
| 7 | netCDF file | netCDF | Helm, Veit | |||
| 8 | netCDF file (File Size) | netCDF (Size) | Bytes | Helm, Veit |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
27 data points