Training and test data for retrievals based on HATPRO observations during MOSAiC
The dataset consists of one netCDF file that contains the entire training and test data for the retrieval of temperature (ta) and humidity (hua) profiles, integrated water vapour (prw), and liquid water path (clwvi) from brightness temperatures (tb) measured by a HATPRO (humidity and temperature pro...
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ftzenodo:oai:zenodo.org:5741350 2024-09-15T18:27:19+00:00 Training and test data for retrievals based on HATPRO observations during MOSAiC Ebell, Kerstin Walbröl, Andreas Ebell, Kerstin Walbröl, Andreas 2021-11-30 https://doi.org/10.5281/zenodo.5741350 unknown Zenodo https://zenodo.org/communities/crc172-ac3 https://doi.org/10.5281/zenodo.5741349 https://doi.org/10.5281/zenodo.5741350 oai:zenodo.org:5741350 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode HATPRO microwave radiometer remote sensing Arctic MOSAiC retrieval water vapor liquid water path temperature info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.574135010.5281/zenodo.5741349 2024-07-25T15:21:41Z The dataset consists of one netCDF file that contains the entire training and test data for the retrieval of temperature (ta) and humidity (hua) profiles, integrated water vapour (prw), and liquid water path (clwvi) from brightness temperatures (tb) measured by a HATPRO (humidity and temperature profiler). A regression with quadratic terms, except for the boundary layer scan which is confinedto linear terms, is performed to derive these meteorological variables. The trained retrieval is applied on the HATPRO observations gathered onboard the research vessel Polarstern during theMultidisciplinarydrifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.For the data to bespecialized on Arctic conditions they are based on Ny-Ålesund radiosonde observations. An IDL-based radiative transfer model has been used to simulate brightness temperatures for each radiosonde. Several elevation angles (ele) are given in the filebecause the HATPRO radiometer performs elevation scans in between zenith scans to increase the resolution of temperature profiles in the atmospheric boundary layer. More information can be found in the following publication to which this dataset belongs to: (work in progress) Other/Unknown Material Ny Ålesund Ny-Ålesund Zenodo |
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HATPRO microwave radiometer remote sensing Arctic MOSAiC retrieval water vapor liquid water path temperature |
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HATPRO microwave radiometer remote sensing Arctic MOSAiC retrieval water vapor liquid water path temperature Ebell, Kerstin Walbröl, Andreas Training and test data for retrievals based on HATPRO observations during MOSAiC |
topic_facet |
HATPRO microwave radiometer remote sensing Arctic MOSAiC retrieval water vapor liquid water path temperature |
description |
The dataset consists of one netCDF file that contains the entire training and test data for the retrieval of temperature (ta) and humidity (hua) profiles, integrated water vapour (prw), and liquid water path (clwvi) from brightness temperatures (tb) measured by a HATPRO (humidity and temperature profiler). A regression with quadratic terms, except for the boundary layer scan which is confinedto linear terms, is performed to derive these meteorological variables. The trained retrieval is applied on the HATPRO observations gathered onboard the research vessel Polarstern during theMultidisciplinarydrifting Observatory for the Study of Arctic Climate (MOSAiC) expedition.For the data to bespecialized on Arctic conditions they are based on Ny-Ålesund radiosonde observations. An IDL-based radiative transfer model has been used to simulate brightness temperatures for each radiosonde. Several elevation angles (ele) are given in the filebecause the HATPRO radiometer performs elevation scans in between zenith scans to increase the resolution of temperature profiles in the atmospheric boundary layer. More information can be found in the following publication to which this dataset belongs to: (work in progress) |
author2 |
Ebell, Kerstin Walbröl, Andreas |
format |
Other/Unknown Material |
author |
Ebell, Kerstin Walbröl, Andreas |
author_facet |
Ebell, Kerstin Walbröl, Andreas |
author_sort |
Ebell, Kerstin |
title |
Training and test data for retrievals based on HATPRO observations during MOSAiC |
title_short |
Training and test data for retrievals based on HATPRO observations during MOSAiC |
title_full |
Training and test data for retrievals based on HATPRO observations during MOSAiC |
title_fullStr |
Training and test data for retrievals based on HATPRO observations during MOSAiC |
title_full_unstemmed |
Training and test data for retrievals based on HATPRO observations during MOSAiC |
title_sort |
training and test data for retrievals based on hatpro observations during mosaic |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.5741350 |
genre |
Ny Ålesund Ny-Ålesund |
genre_facet |
Ny Ålesund Ny-Ålesund |
op_relation |
https://zenodo.org/communities/crc172-ac3 https://doi.org/10.5281/zenodo.5741349 https://doi.org/10.5281/zenodo.5741350 oai:zenodo.org:5741350 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.574135010.5281/zenodo.5741349 |
_version_ |
1810468535037591552 |