Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...

The dataset consists of water vapor profiles including the errors of the Raman lidar measurements performed by the PollyXT_Lidar “Arielle” in the Oceanet container at the bow area of Research Vessel Polarstern from 28 September 2019 till 29 February 2020. The profiles are averaged over 30 s and addi...

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Bibliographic Details
Main Authors: Engelmann, Ronny, Griesche, Hannes, Radenz, Martin, Hofer, Julian, Althausen, Dietrich, Seidel, Clara, Baars, Holger, Klamt, Andi, Hengst, Rico
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.957151
https://doi.pangaea.de/10.1594/PANGAEA.957151
id ftdatacite:10.1594/pangaea.957151
record_format openpolar
spelling ftdatacite:10.1594/pangaea.957151 2024-06-09T07:43:43+00:00 Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ... Engelmann, Ronny Griesche, Hannes Radenz, Martin Hofer, Julian Althausen, Dietrich Seidel, Clara Baars, Holger Klamt, Andi Hengst, Rico 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.957151 https://doi.pangaea.de/10.1594/PANGAEA.957151 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.957158 https://dx.doi.org/10.5194/amt-11-2735-2018 Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 OCEANET water vapor profiles Event label DATE/TIME LATITUDE LONGITUDE netCDF file netCDF file File Size Atmospheric Observatory Multiwavelength Raman and Depolarization Lidar, TROPOS, Polly-XT PS122/1 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Dataset dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95715110.1594/pangaea.95715810.5194/amt-11-2735-2018 2024-05-13T12:44:51Z The dataset consists of water vapor profiles including the errors of the Raman lidar measurements performed by the PollyXT_Lidar “Arielle” in the Oceanet container at the bow area of Research Vessel Polarstern from 28 September 2019 till 29 February 2020. The profiles are averaged over 30 s and additionally smoothed with a sliding average over 10 min with the smooth2-function. The vertical averaging is 5 bins (bin-width is 7.5 m; the lidar is pointing with a Zenit angle of 5°). Additionally, signal-to-noise (SNR) ratios of the two signals (H2O and N2) and a quality mask (QM) are provided. The quality mask QM is equal to 1 if the SNR_N2<1 or the SNR_H2O ... Dataset Arctic Arctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Zenit ENVELOPE(11.850,11.850,-70.767,-70.767)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic OCEANET
water vapor profiles
Event label
DATE/TIME
LATITUDE
LONGITUDE
netCDF file
netCDF file File Size
Atmospheric Observatory
Multiwavelength Raman and Depolarization Lidar, TROPOS, Polly-XT
PS122/1
Polarstern
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
spellingShingle OCEANET
water vapor profiles
Event label
DATE/TIME
LATITUDE
LONGITUDE
netCDF file
netCDF file File Size
Atmospheric Observatory
Multiwavelength Raman and Depolarization Lidar, TROPOS, Polly-XT
PS122/1
Polarstern
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
Engelmann, Ronny
Griesche, Hannes
Radenz, Martin
Hofer, Julian
Althausen, Dietrich
Seidel, Clara
Baars, Holger
Klamt, Andi
Hengst, Rico
Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...
topic_facet OCEANET
water vapor profiles
Event label
DATE/TIME
LATITUDE
LONGITUDE
netCDF file
netCDF file File Size
Atmospheric Observatory
Multiwavelength Raman and Depolarization Lidar, TROPOS, Polly-XT
PS122/1
Polarstern
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
description The dataset consists of water vapor profiles including the errors of the Raman lidar measurements performed by the PollyXT_Lidar “Arielle” in the Oceanet container at the bow area of Research Vessel Polarstern from 28 September 2019 till 29 February 2020. The profiles are averaged over 30 s and additionally smoothed with a sliding average over 10 min with the smooth2-function. The vertical averaging is 5 bins (bin-width is 7.5 m; the lidar is pointing with a Zenit angle of 5°). Additionally, signal-to-noise (SNR) ratios of the two signals (H2O and N2) and a quality mask (QM) are provided. The quality mask QM is equal to 1 if the SNR_N2<1 or the SNR_H2O ...
format Dataset
author Engelmann, Ronny
Griesche, Hannes
Radenz, Martin
Hofer, Julian
Althausen, Dietrich
Seidel, Clara
Baars, Holger
Klamt, Andi
Hengst, Rico
author_facet Engelmann, Ronny
Griesche, Hannes
Radenz, Martin
Hofer, Julian
Althausen, Dietrich
Seidel, Clara
Baars, Holger
Klamt, Andi
Hengst, Rico
author_sort Engelmann, Ronny
title Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...
title_short Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...
title_full Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...
title_fullStr Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...
title_full_unstemmed Water vapor profiles retrieved during the POLARSTERN cruise PS122/1, September 2019, Arctic Ocean ...
title_sort water vapor profiles retrieved during the polarstern cruise ps122/1, september 2019, arctic ocean ...
publisher PANGAEA
publishDate 2023
url https://dx.doi.org/10.1594/pangaea.957151
https://doi.pangaea.de/10.1594/PANGAEA.957151
long_lat ENVELOPE(11.850,11.850,-70.767,-70.767)
geographic Arctic
Arctic Ocean
Zenit
geographic_facet Arctic
Arctic Ocean
Zenit
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation https://dx.doi.org/10.1594/pangaea.957158
https://dx.doi.org/10.5194/amt-11-2735-2018
op_rights Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
cc-by-sa-4.0
op_doi https://doi.org/10.1594/pangaea.95715110.1594/pangaea.95715810.5194/amt-11-2735-2018
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