Convolutional neural network training dataset and results of AWI-ICENet1 retracker ...

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...

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Bibliographic Details
Main Author: Helm, Veit
Format: Dataset
Language:unknown
Published: PANGAEA 2024
Subjects:
altimetry
elevation change
simulated Cryosat-2 waveforms
File content
Location
DATE/TIME
Binary Object
Binary Object File Size
netCDF file
netCDF file File Size
Artificial Intelligence for Cold Regions AI-CORE
Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158
Antarctic
Arctic
Greenland
The Antarctic
Antarc*
Antarctica
Ice Sheet
Sea ice
Online Access:https://dx.doi.org/10.1594/pangaea.964596
https://doi.pangaea.de/10.1594/PANGAEA.964596
Description
Summary: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 ... : 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. ...

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