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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ftdatacite:10.1594/pangaea.964596 2024-09-09T19:10:05+00:00 Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... Helm, Veit 2024 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.964596 https://doi.pangaea.de/10.1594/PANGAEA.964596 unknown PANGAEA https://dx.doi.org/10.5194/tc-2023-80 Data access is restricted (moratorium, sensitive data, license constraints) Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 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 dataset Dataset 2024 ftdatacite https://doi.org/10.1594/pangaea.96459610.5194/tc-2023-80 2024-06-17T10:03:47Z 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. ... Dataset Antarc* Antarctic Antarctica Arctic Greenland Ice Sheet Sea ice DataCite Antarctic Arctic Greenland The Antarctic |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
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 |
spellingShingle |
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 Helm, Veit Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... |
topic_facet |
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 |
description |
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. ... |
format |
Dataset |
author |
Helm, Veit |
author_facet |
Helm, Veit |
author_sort |
Helm, Veit |
title |
Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... |
title_short |
Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... |
title_full |
Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... |
title_fullStr |
Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... |
title_full_unstemmed |
Convolutional neural network training dataset and results of AWI-ICENet1 retracker ... |
title_sort |
convolutional neural network training dataset and results of awi-icenet1 retracker ... |
publisher |
PANGAEA |
publishDate |
2024 |
url |
https://dx.doi.org/10.1594/pangaea.964596 https://doi.pangaea.de/10.1594/PANGAEA.964596 |
geographic |
Antarctic Arctic Greenland The Antarctic |
geographic_facet |
Antarctic Arctic Greenland The Antarctic |
genre |
Antarc* Antarctic Antarctica Arctic Greenland Ice Sheet Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Arctic Greenland Ice Sheet Sea ice |
op_relation |
https://dx.doi.org/10.5194/tc-2023-80 |
op_rights |
Data access is restricted (moratorium, sensitive data, license constraints) Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.96459610.5194/tc-2023-80 |
_version_ |
1809824513729232896 |