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://doi.pangaea.de/10.1594/PANGAEA.941470 https://doi.org/10.1594/PANGAEA.941470 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.941470 2024-05-19T07:33:11+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 MEDIAN LATITUDE: 83.919401 * MEDIAN LONGITUDE: 60.911276 * SOUTH-BOUND LATITUDE: 78.686763 * WEST-BOUND LONGITUDE: -6.126275 * NORTH-BOUND LATITUDE: 88.413593 * EAST-BOUND LONGITUDE: 137.750080 * DATE/TIME START: 2019-10-22T00:00:00 * DATE/TIME END: 2020-10-02T03:59:00 2022 text/tab-separated-values, 346 data points https://doi.pangaea.de/10.1594/PANGAEA.941470 https://doi.org/10.1594/PANGAEA.941470 en eng PANGAEA Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037, https://doi.org/10.5194/amt-12-5019-2019 https://doi.pangaea.de/10.1594/PANGAEA.941470 https://doi.org/10.1594/PANGAEA.941470 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess AC3 Arctic Arctic Amplification Arctic Ocean ATMOBS Atmospheric Observatory Binary Object Binary Object (File Size) DATE/TIME Event label integrated water vapor LATITUDE LONGITUDE microwave radiometer Mosaic MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate North Greenland Sea Other event Polarstern precipitable water PS122 PS122/1 PS122/1_1-38 PS122/2 PS122/2_14-18 PS122/3 PS122/3_28-6 PS122/4 PS122/4_43-11 PS122/4_43-145 PS122/5 PS122/5_58-3 remote sensing Dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94147010.5194/amt-12-5019-2019 2024-04-23T23:36:33Z 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 Arctic Arctic Ocean Greenland Greenland Sea North Greenland PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-6.126275,137.750080,88.413593,78.686763) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
AC3 Arctic Arctic Amplification Arctic Ocean ATMOBS Atmospheric Observatory Binary Object Binary Object (File Size) DATE/TIME Event label integrated water vapor LATITUDE LONGITUDE microwave radiometer Mosaic MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate North Greenland Sea Other event Polarstern precipitable water PS122 PS122/1 PS122/1_1-38 PS122/2 PS122/2_14-18 PS122/3 PS122/3_28-6 PS122/4 PS122/4_43-11 PS122/4_43-145 PS122/5 PS122/5_58-3 remote sensing |
spellingShingle |
AC3 Arctic Arctic Amplification Arctic Ocean ATMOBS Atmospheric Observatory Binary Object Binary Object (File Size) DATE/TIME Event label integrated water vapor LATITUDE LONGITUDE microwave radiometer Mosaic MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate North Greenland Sea Other event Polarstern precipitable water PS122 PS122/1 PS122/1_1-38 PS122/2 PS122/2_14-18 PS122/3 PS122/3_28-6 PS122/4 PS122/4_43-11 PS122/4_43-145 PS122/5 PS122/5_58-3 remote sensing 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 |
AC3 Arctic Arctic Amplification Arctic Ocean ATMOBS Atmospheric Observatory Binary Object Binary Object (File Size) DATE/TIME Event label integrated water vapor LATITUDE LONGITUDE microwave radiometer Mosaic MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate North Greenland Sea Other event Polarstern precipitable water PS122 PS122/1 PS122/1_1-38 PS122/2 PS122/2_14-18 PS122/3 PS122/3_28-6 PS122/4 PS122/4_43-11 PS122/4_43-145 PS122/5 PS122/5_58-3 remote sensing |
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://doi.pangaea.de/10.1594/PANGAEA.941470 https://doi.org/10.1594/PANGAEA.941470 |
op_coverage |
MEDIAN LATITUDE: 83.919401 * MEDIAN LONGITUDE: 60.911276 * SOUTH-BOUND LATITUDE: 78.686763 * WEST-BOUND LONGITUDE: -6.126275 * NORTH-BOUND LATITUDE: 88.413593 * EAST-BOUND LONGITUDE: 137.750080 * DATE/TIME START: 2019-10-22T00:00:00 * DATE/TIME END: 2020-10-02T03:59:00 |
long_lat |
ENVELOPE(-6.126275,137.750080,88.413593,78.686763) |
genre |
Arctic Arctic Arctic Ocean Greenland Greenland Sea North Greenland |
genre_facet |
Arctic Arctic Arctic Ocean Greenland Greenland Sea North Greenland |
op_relation |
Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037, https://doi.org/10.5194/amt-12-5019-2019 https://doi.pangaea.de/10.1594/PANGAEA.941470 https://doi.org/10.1594/PANGAEA.941470 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.94147010.5194/amt-12-5019-2019 |
_version_ |
1799471294394138624 |