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...
Main Authors: | , , , , , , , , |
---|---|
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 |
_version_ |
1801372616777269248 |