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:
Online Access:https://dx.doi.org/10.1594/pangaea.964596
https://doi.pangaea.de/10.1594/PANGAEA.964596
id ftdatacite:10.1594/pangaea.964596
record_format openpolar
spelling 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