Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ...
The data contain time-height series of cloud liquid water content, ice water content, droplet and ice effective radii retrieved from ground-based remote sensing observations at the AWIPEV atmospheric observatory for the time period 10 June 2016 to 8 October 2018. The application of the cloud microph...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2019
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.898556 https://doi.pangaea.de/10.1594/PANGAEA.898556 |
id |
ftdatacite:10.1594/pangaea.898556 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.1594/pangaea.898556 2024-09-15T18:27:19+00:00 Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... Nomokonova, Tatiana Ebell, Kerstin 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.898556 https://doi.pangaea.de/10.1594/PANGAEA.898556 en eng PANGAEA https://hs.pangaea.de/Projects/AC3/NYA_cloud-microphysics/2016-2018_cloud_microphysics_ny_aalesund.zip Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 clouds effective radius ice water content liquid water content DATE/TIME File name File format File size Uniform resource locator/link to file Monitoring station Ground-based remote sensing AWIPEV_based AWIPEV Arctic Amplification AC3 dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.898556 2024-08-01T10:59:11Z The data contain time-height series of cloud liquid water content, ice water content, droplet and ice effective radii retrieved from ground-based remote sensing observations at the AWIPEV atmospheric observatory for the time period 10 June 2016 to 8 October 2018. The application of the cloud microphysical retrieval algorithms is based on the Cloudnet Categorization product (Illingworth et al., 2007, doi:10.1175/BAMS-88-6-883), which can be downloaded via http://devcloudnet.fmi.fi. Time and height resolution are same as in the Cloudnet Categorization product. The radar reflectivity values given in the Cloudnet Categorization product have been bias corrected. 4.66 dB (3 dB) have been added to the original data for the time period 10 June 2016 - 26 July 2017 (29 July 2017 - 8 October 2018). In case of single-layer liquid clouds containing cloud droplets only, liquid water content and liquid effective radius have been retrieved following Frisch et al. (1998, doi:10.1029/98JD01827) and Frisch (2002, ... Dataset Ny Ålesund Ny-Ålesund DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
clouds effective radius ice water content liquid water content DATE/TIME File name File format File size Uniform resource locator/link to file Monitoring station Ground-based remote sensing AWIPEV_based AWIPEV Arctic Amplification AC3 |
spellingShingle |
clouds effective radius ice water content liquid water content DATE/TIME File name File format File size Uniform resource locator/link to file Monitoring station Ground-based remote sensing AWIPEV_based AWIPEV Arctic Amplification AC3 Nomokonova, Tatiana Ebell, Kerstin Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... |
topic_facet |
clouds effective radius ice water content liquid water content DATE/TIME File name File format File size Uniform resource locator/link to file Monitoring station Ground-based remote sensing AWIPEV_based AWIPEV Arctic Amplification AC3 |
description |
The data contain time-height series of cloud liquid water content, ice water content, droplet and ice effective radii retrieved from ground-based remote sensing observations at the AWIPEV atmospheric observatory for the time period 10 June 2016 to 8 October 2018. The application of the cloud microphysical retrieval algorithms is based on the Cloudnet Categorization product (Illingworth et al., 2007, doi:10.1175/BAMS-88-6-883), which can be downloaded via http://devcloudnet.fmi.fi. Time and height resolution are same as in the Cloudnet Categorization product. The radar reflectivity values given in the Cloudnet Categorization product have been bias corrected. 4.66 dB (3 dB) have been added to the original data for the time period 10 June 2016 - 26 July 2017 (29 July 2017 - 8 October 2018). In case of single-layer liquid clouds containing cloud droplets only, liquid water content and liquid effective radius have been retrieved following Frisch et al. (1998, doi:10.1029/98JD01827) and Frisch (2002, ... |
format |
Dataset |
author |
Nomokonova, Tatiana Ebell, Kerstin |
author_facet |
Nomokonova, Tatiana Ebell, Kerstin |
author_sort |
Nomokonova, Tatiana |
title |
Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... |
title_short |
Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... |
title_full |
Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... |
title_fullStr |
Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... |
title_full_unstemmed |
Cloud microphysical properties retrieved from ground-based remote sensing at Ny-Ålesund (10 June 2016 - 8 October 2018) ... |
title_sort |
cloud microphysical properties retrieved from ground-based remote sensing at ny-ålesund (10 june 2016 - 8 october 2018) ... |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.898556 https://doi.pangaea.de/10.1594/PANGAEA.898556 |
genre |
Ny Ålesund Ny-Ålesund |
genre_facet |
Ny Ålesund Ny-Ålesund |
op_relation |
https://hs.pangaea.de/Projects/AC3/NYA_cloud-microphysics/2016-2018_cloud_microphysics_ny_aalesund.zip |
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.898556 |
_version_ |
1810468531839434752 |