Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...

This Level 3 dataset of radiosondes launched during the MOSAiC expedition has been processed by the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) algorithm for RS41 radiosonde data. The GRUAN processing is based on the extensive characterisation of the sensor properties...

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Bibliographic Details
Main Authors: Maturilli, Marion, Sommer, Michael, Holdridge, Donna J, Dahlke, Sandro, Graeser, Jürgen, Sommerfeld, Anja, Jaiser, Ralf, Deckelmann, Holger, Schulz, Alexander
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.945539
https://doi.pangaea.de/10.1594/PANGAEA.945539
id ftdatacite:10.1594/pangaea.945539
record_format openpolar
spelling ftdatacite:10.1594/pangaea.945539 2024-06-09T07:43:45+00:00 Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ... Maturilli, Marion Sommer, Michael Holdridge, Donna J Dahlke, Sandro Graeser, Jürgen Sommerfeld, Anja Jaiser, Ralf Deckelmann, Holger Schulz, Alexander 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.945539 https://doi.pangaea.de/10.1594/PANGAEA.945539 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.943870 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic humidity profile radiosondes temperature profiles upper air profiles DATE/TIME Binary Object Binary Object File Size Radiosonde PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Polarstern GCOS Reference Upper-Air Network GRUAN Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Dataset dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94553910.1594/pangaea.943870 2024-05-13T12:44:57Z This Level 3 dataset of radiosondes launched during the MOSAiC expedition has been processed by the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) algorithm for RS41 radiosonde data. The GRUAN processing is based on the extensive characterisation of the sensor properties to produce a traceable reference data product which is free of manufacturer-dependent effects. Uncertainty values are provided for all measured parameters at all height levels. It should be noted that all provided height information is obtained from the GPS measurement. Close to buildings and metal surfaces (such as RV Polarstern) GPS signals are often very noisy, resulting in artifacts in the vertical elevation coordinate close to the surface. In the atmospheric boundary layer, it is therefore recommended to rely on height calculations based on pressure. ... 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
humidity profile
radiosondes
temperature profiles
upper air profiles
DATE/TIME
Binary Object
Binary Object File Size
Radiosonde
PS122/1
PS122/2
PS122/3
PS122/4
PS122/5
Polarstern
GCOS Reference Upper-Air Network GRUAN
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
spellingShingle Arctic
humidity profile
radiosondes
temperature profiles
upper air profiles
DATE/TIME
Binary Object
Binary Object File Size
Radiosonde
PS122/1
PS122/2
PS122/3
PS122/4
PS122/5
Polarstern
GCOS Reference Upper-Air Network GRUAN
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
Maturilli, Marion
Sommer, Michael
Holdridge, Donna J
Dahlke, Sandro
Graeser, Jürgen
Sommerfeld, Anja
Jaiser, Ralf
Deckelmann, Holger
Schulz, Alexander
Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...
topic_facet Arctic
humidity profile
radiosondes
temperature profiles
upper air profiles
DATE/TIME
Binary Object
Binary Object File Size
Radiosonde
PS122/1
PS122/2
PS122/3
PS122/4
PS122/5
Polarstern
GCOS Reference Upper-Air Network GRUAN
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
description This Level 3 dataset of radiosondes launched during the MOSAiC expedition has been processed by the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) algorithm for RS41 radiosonde data. The GRUAN processing is based on the extensive characterisation of the sensor properties to produce a traceable reference data product which is free of manufacturer-dependent effects. Uncertainty values are provided for all measured parameters at all height levels. It should be noted that all provided height information is obtained from the GPS measurement. Close to buildings and metal surfaces (such as RV Polarstern) GPS signals are often very noisy, resulting in artifacts in the vertical elevation coordinate close to the surface. In the atmospheric boundary layer, it is therefore recommended to rely on height calculations based on pressure. ...
format Dataset
author Maturilli, Marion
Sommer, Michael
Holdridge, Donna J
Dahlke, Sandro
Graeser, Jürgen
Sommerfeld, Anja
Jaiser, Ralf
Deckelmann, Holger
Schulz, Alexander
author_facet Maturilli, Marion
Sommer, Michael
Holdridge, Donna J
Dahlke, Sandro
Graeser, Jürgen
Sommerfeld, Anja
Jaiser, Ralf
Deckelmann, Holger
Schulz, Alexander
author_sort Maturilli, Marion
title Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...
title_short Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...
title_full Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...
title_fullStr Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...
title_full_unstemmed Radiosonde measurements in 2019-2020 during MOSAiC campaign PS122 (level 3 data), monthly zips with netCDF files ...
title_sort radiosonde measurements in 2019-2020 during mosaic campaign ps122 (level 3 data), monthly zips with netcdf files ...
publisher PANGAEA
publishDate 2022
url https://dx.doi.org/10.1594/pangaea.945539
https://doi.pangaea.de/10.1594/PANGAEA.945539
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.1594/pangaea.943870
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.94553910.1594/pangaea.943870
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