Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO 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) and cloud liquid (clwvi), as well as temperature (ta) and humidity (hua) profiles derived from the HATPRO microwave radiometer (see Rose et al., 2005) onboard the Polarstern during cruise PS122 (MOS...

Full description

Bibliographic Details
Main Authors: Ebell, Kerstin, Walbröl, Andreas, Engelmann, Ronny, Griesche, Hannes, Radenz, Martin, Hofer, Julian, Althausen, Dietrich
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
AC3
Arctic
Arctic Amplification
Arctic Ocean
ATMOBS
Atmospheric Observatory
Binary Object
Binary Object (File Size)
clouds
Comment
DATE/TIME
Event label
humidity profile
integrated water vapor
LATITUDE
liquid water path
LONGITUDE
microwave radiometer
MOSAiC
MOSAiC20192020
MOSAiC expedition
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
temperature profile
Greenland
Greenland Sea
North Greenland
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.941389
https://doi.org/10.1594/PANGAEA.941389
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.941389
record_format openpolar
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)
clouds
Comment
DATE/TIME
Event label
humidity profile
integrated water vapor
LATITUDE
liquid water path
LONGITUDE
microwave radiometer
MOSAiC
MOSAiC20192020
MOSAiC expedition
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
temperature profile
spellingShingle AC3
Arctic
Arctic Amplification
Arctic Ocean
ATMOBS
Atmospheric Observatory
Binary Object
Binary Object (File Size)
clouds
Comment
DATE/TIME
Event label
humidity profile
integrated water vapor
LATITUDE
liquid water path
LONGITUDE
microwave radiometer
MOSAiC
MOSAiC20192020
MOSAiC expedition
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
temperature profile
Ebell, Kerstin
Walbröl, Andreas
Engelmann, Ronny
Griesche, Hannes
Radenz, Martin
Hofer, Julian
Althausen, Dietrich
Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO 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)
clouds
Comment
DATE/TIME
Event label
humidity profile
integrated water vapor
LATITUDE
liquid water path
LONGITUDE
microwave radiometer
MOSAiC
MOSAiC20192020
MOSAiC expedition
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
temperature profile
description The data set contains daily files of path integrated amount of water vapour (precipitable water, prw) and cloud liquid (clwvi), as well as temperature (ta) and humidity (hua) profiles derived from the HATPRO microwave radiometer (see Rose et al., 2005) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to October 2020. HATPRO measures atmospheric radiation in seven K band (22.24 - 31.4 GHz) channels, which are sensitive to water vapour profiles, precipitable water and cloud liquid water. The seven V band (51.26 - 58 GHz) channels are sensitive to atmospheric temperature and therefore applicable to derive the temperature profiles. Multivariate regression retrievals have been used to derive the atmospheric variables (see Löhnert and Crewell, 2003, Löhnert and Maier, 2012 and Nomokonova et al. 2019). Temperature profiles have been retrieved from both zenith (mwr00) and boundary layer (mwrBL00) modes. The uncertainties of the variables describe the expected standard error (prw_err, clwvi_err, .). Each retrieved variable 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 Ebell, Kerstin
Walbröl, Andreas
Engelmann, Ronny
Griesche, Hannes
Radenz, Martin
Hofer, Julian
Althausen, Dietrich
author_facet Ebell, Kerstin
Walbröl, Andreas
Engelmann, Ronny
Griesche, Hannes
Radenz, Martin
Hofer, Julian
Althausen, Dietrich
author_sort Ebell, Kerstin
title Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO microwave radiometer onboard the Polarstern during the MOSAiC expedition
title_short Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO microwave radiometer onboard the Polarstern during the MOSAiC expedition
title_full Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO microwave radiometer onboard the Polarstern during the MOSAiC expedition
title_fullStr Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO microwave radiometer onboard the Polarstern during the MOSAiC expedition
title_full_unstemmed Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO microwave radiometer onboard the Polarstern during the MOSAiC expedition
title_sort temperature and humidity profiles, integrated water vapour and liquid water path derived from the hatpro microwave radiometer onboard the polarstern during the mosaic expedition
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.941389
https://doi.org/10.1594/PANGAEA.941389
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: 2019-10-19T00:00:00 * DATE/TIME END: 2020-10-02T03:59:00
long_lat ENVELOPE(-6.126275,137.750080,88.413593,78.686763)
geographic Arctic
Arctic Ocean
Greenland
geographic_facet Arctic
Arctic Ocean
Greenland
genre Arctic
Arctic Ocean
Greenland
Greenland Sea
North Greenland
genre_facet Arctic
Arctic Ocean
Greenland
Greenland Sea
North Greenland
op_relation Löhnert, Ulrich; Crewell, Susanne (2003): Accuracy of cloud liquid water path from ground-based microwave radiometry 1. Dependency on cloud model statistics. Radio Science, 38(3), https://doi.org/10.1029/2002RS002654
Löhnert, Ulrich; Maier, O (2012): Operational profiling of temperature using ground-based microwave radiometry at Payerne: prospects and challenges. Atmospheric Measurement Techniques, 5(5), 1121-1134, https://doi.org/10.5194/amt-5-1121-2012
Nomokonova, Tatiana; Ebell, Kerstin; Löhnert, Ulrich; Maturilli, Marion; Ritter, Christoph; O'Connor, Ewan (2019): Statistics on clouds and their relation to thermodynamic conditions at Ny-Ålesund using ground-based sensor synergy. Atmospheric Chemistry and Physics, 19(6), 4105-4126, https://doi.org/10.5194/acp-19-4105-2019
Rose, Thomas; Crewell, Susanne; Löhnert, Ulrich; Simmer, Clemens (2005): A network suitable microwave radiometer for operational monitoring of the cloudy atmosphere. Atmospheric Research, 75(3), 183-200, https://doi.org/10.1016/j.atmosres.2004.12.005
https://doi.pangaea.de/10.1594/PANGAEA.941389
https://doi.org/10.1594/PANGAEA.941389
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.94138910.1029/2002RS00265410.5194/amt-5-1121-201210.5194/acp-19-4105-201910.1016/j.atmosres.2004.12.005
_version_ 1811635181214236672
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.941389 2024-09-30T14:30:07+00:00 Temperature and humidity profiles, integrated water vapour and liquid water path derived from the HATPRO microwave radiometer onboard the Polarstern during the MOSAiC expedition Ebell, Kerstin Walbröl, Andreas Engelmann, Ronny Griesche, Hannes Radenz, Martin Hofer, Julian Althausen, Dietrich 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: 2019-10-19T00:00:00 * DATE/TIME END: 2020-10-02T03:59:00 2022 text/tab-separated-values, 3480 data points https://doi.pangaea.de/10.1594/PANGAEA.941389 https://doi.org/10.1594/PANGAEA.941389 en eng PANGAEA Löhnert, Ulrich; Crewell, Susanne (2003): Accuracy of cloud liquid water path from ground-based microwave radiometry 1. Dependency on cloud model statistics. Radio Science, 38(3), https://doi.org/10.1029/2002RS002654 Löhnert, Ulrich; Maier, O (2012): Operational profiling of temperature using ground-based microwave radiometry at Payerne: prospects and challenges. Atmospheric Measurement Techniques, 5(5), 1121-1134, https://doi.org/10.5194/amt-5-1121-2012 Nomokonova, Tatiana; Ebell, Kerstin; Löhnert, Ulrich; Maturilli, Marion; Ritter, Christoph; O'Connor, Ewan (2019): Statistics on clouds and their relation to thermodynamic conditions at Ny-Ålesund using ground-based sensor synergy. Atmospheric Chemistry and Physics, 19(6), 4105-4126, https://doi.org/10.5194/acp-19-4105-2019 Rose, Thomas; Crewell, Susanne; Löhnert, Ulrich; Simmer, Clemens (2005): A network suitable microwave radiometer for operational monitoring of the cloudy atmosphere. Atmospheric Research, 75(3), 183-200, https://doi.org/10.1016/j.atmosres.2004.12.005 https://doi.pangaea.de/10.1594/PANGAEA.941389 https://doi.org/10.1594/PANGAEA.941389 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) clouds Comment DATE/TIME Event label humidity profile integrated water vapor LATITUDE liquid water path LONGITUDE microwave radiometer MOSAiC MOSAiC20192020 MOSAiC expedition 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 temperature profile dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94138910.1029/2002RS00265410.5194/amt-5-1121-201210.5194/acp-19-4105-201910.1016/j.atmosres.2004.12.005 2024-09-11T00:15:18Z The data set contains daily files of path integrated amount of water vapour (precipitable water, prw) and cloud liquid (clwvi), as well as temperature (ta) and humidity (hua) profiles derived from the HATPRO microwave radiometer (see Rose et al., 2005) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to October 2020. HATPRO measures atmospheric radiation in seven K band (22.24 - 31.4 GHz) channels, which are sensitive to water vapour profiles, precipitable water and cloud liquid water. The seven V band (51.26 - 58 GHz) channels are sensitive to atmospheric temperature and therefore applicable to derive the temperature profiles. Multivariate regression retrievals have been used to derive the atmospheric variables (see Löhnert and Crewell, 2003, Löhnert and Maier, 2012 and Nomokonova et al. 2019). Temperature profiles have been retrieved from both zenith (mwr00) and boundary layer (mwrBL00) modes. The uncertainties of the variables describe the expected standard error (prw_err, clwvi_err, .). Each retrieved variable 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 Ocean Greenland Greenland Sea North Greenland PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean Greenland ENVELOPE(-6.126275,137.750080,88.413593,78.686763)

Similar Items