Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ...
The data set contains daily files of path integrated amount of water vapour (precipitable water, prw) derived from the MiRAC-P (or LHUMPRO-243-340) microwave radiometer (see Mech et al., 2019) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to O...
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2022
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Online Access: | https://dx.doi.org/10.1594/pangaea.941470 https://doi.pangaea.de/10.1594/PANGAEA.941470 |
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ftdatacite:10.1594/pangaea.941470 2024-06-09T07:43:34+00:00 Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... Walbröl, Andreas Orlandi, Emiliano Crewell, Susanne Ebell, Kerstin 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.941470 https://doi.pangaea.de/10.1594/PANGAEA.941470 en eng PANGAEA https://dx.doi.org/10.5194/amt-12-5019-2019 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic integrated water vapor microwave radiometer Mosaic precipitable water PS122 remote sensing Event label Other event Binary Object Binary Object File Size DATE/TIME LATITUDE LONGITUDE Atmospheric Observatory PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Dataset dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94147010.5194/amt-12-5019-2019 2024-05-13T12:44:57Z The data set contains daily files of path integrated amount of water vapour (precipitable water, prw) derived from the MiRAC-P (or LHUMPRO-243-340) microwave radiometer (see Mech et al., 2019) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to October 2020. MiRAC-P measures atmospheric radiation in six double side band averaged G band (183.31 +/- 0.6 to 183.31 +/- 7.5 GHz) and two higher frequency (243 and 340 GHz) channels. The different sensitivity to humidity of the channels allow a derivation of the path integrated amount of water vapour (prw). A Neural Network retrieval has been used to derive prw. The uncertainty of prw is given as the variable's comment attribute and describes the expected standard error. Prw is provided for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic integrated water vapor microwave radiometer Mosaic precipitable water PS122 remote sensing Event label Other event Binary Object Binary Object File Size DATE/TIME LATITUDE LONGITUDE Atmospheric Observatory PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
Arctic integrated water vapor microwave radiometer Mosaic precipitable water PS122 remote sensing Event label Other event Binary Object Binary Object File Size DATE/TIME LATITUDE LONGITUDE Atmospheric Observatory PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Walbröl, Andreas Orlandi, Emiliano Crewell, Susanne Ebell, Kerstin Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... |
topic_facet |
Arctic integrated water vapor microwave radiometer Mosaic precipitable water PS122 remote sensing Event label Other event Binary Object Binary Object File Size DATE/TIME LATITUDE LONGITUDE Atmospheric Observatory PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern Arctic Amplification AC3 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
The data set contains daily files of path integrated amount of water vapour (precipitable water, prw) derived from the MiRAC-P (or LHUMPRO-243-340) microwave radiometer (see Mech et al., 2019) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to October 2020. MiRAC-P measures atmospheric radiation in six double side band averaged G band (183.31 +/- 0.6 to 183.31 +/- 7.5 GHz) and two higher frequency (243 and 340 GHz) channels. The different sensitivity to humidity of the channels allow a derivation of the path integrated amount of water vapour (prw). A Neural Network retrieval has been used to derive prw. The uncertainty of prw is given as the variable's comment attribute and describes the expected standard error. Prw is provided for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. ... |
format |
Dataset |
author |
Walbröl, Andreas Orlandi, Emiliano Crewell, Susanne Ebell, Kerstin |
author_facet |
Walbröl, Andreas Orlandi, Emiliano Crewell, Susanne Ebell, Kerstin |
author_sort |
Walbröl, Andreas |
title |
Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... |
title_short |
Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... |
title_full |
Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... |
title_fullStr |
Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... |
title_full_unstemmed |
Integrated water vapour derived from the MiRAC-P microwave radiometer onboard the Polarstern during the MOSAiC expedition ... |
title_sort |
integrated water vapour derived from the mirac-p microwave radiometer onboard the polarstern during the mosaic expedition ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.941470 https://doi.pangaea.de/10.1594/PANGAEA.941470 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5194/amt-12-5019-2019 |
op_rights |
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.94147010.5194/amt-12-5019-2019 |
_version_ |
1801372401433313280 |