Cloudnet IWC during POLARSTERN cruise PS106 ...

The dataset contains daily nc-files of the Cloudnet ice water content during Polarstern cruise PS106 based on:- 35.5 GHz Cloud radar MIRA.The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883).This variable was calculated from the 35.5...

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Bibliographic Details
Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
IWC
Online Access:https://dx.doi.org/10.1594/pangaea.900246
https://doi.pangaea.de/10.1594/PANGAEA.900246
id ftdatacite:10.1594/pangaea.900246
record_format openpolar
spelling ftdatacite:10.1594/pangaea.900246 2024-09-09T19:25:52+00:00 Cloudnet IWC during POLARSTERN cruise PS106 ... Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.900246 https://doi.pangaea.de/10.1594/PANGAEA.900246 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.919452 https://dx.doi.org/10.1175/jam2340.1 https://dx.doi.org/10.1175/bams-88-6-883 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Cloudnet IWC OCEANET-ATMOSPHERE PASCAL PS106 Event label DATE/TIME File name File format File size Uniform resource locator/link to file Remote sensing Light detection and ranging, LiDAR PS106/1 Polarstern Arctic Amplification AC3 Dataset dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.90024610.1594/pangaea.91945210.1175/jam2340.110.1175/bams-88-6-883 2024-07-03T13:11:36Z The dataset contains daily nc-files of the Cloudnet ice water content during Polarstern cruise PS106 based on:- 35.5 GHz Cloud radar MIRA.The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883).This variable was calculated from the 35.5-GHz radar reflectivity factor after correction for gaseous attenuation, and temperature taken from a forecast model, using the following empirical formula:log10(iwc[g m-3]) = 0.000242Z[dBZ]T[degC] + 0.0699Z[dBZ] + -0.0186T[degC] + -1.63 (Hogan, 2006, doi:10.1175/JAM2340.1).In this formula Z is taken to be defined such that all frequencies of radar would measure the same Z in Rayleigh scattering ice. However, the radar is more likely to have been calibrated such that all frequencies would measure the same Z in Rayleigh scattering liquid cloud at 0 degrees C. The measured Z is therefore multiplied by|K(liquid,0degC,35GHz)|^2/0.93 = 0.9441before applying this formula.The formula has been used where the ... : Please note: a newer Version is available, see "Replaced by" reference ... Dataset Arctic DataCite Arctic
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Cloudnet
IWC
OCEANET-ATMOSPHERE
PASCAL
PS106
Event label
DATE/TIME
File name
File format
File size
Uniform resource locator/link to file
Remote sensing Light detection and ranging, LiDAR
PS106/1
Polarstern
Arctic Amplification AC3
spellingShingle Cloudnet
IWC
OCEANET-ATMOSPHERE
PASCAL
PS106
Event label
DATE/TIME
File name
File format
File size
Uniform resource locator/link to file
Remote sensing Light detection and ranging, LiDAR
PS106/1
Polarstern
Arctic Amplification AC3
Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
Cloudnet IWC during POLARSTERN cruise PS106 ...
topic_facet Cloudnet
IWC
OCEANET-ATMOSPHERE
PASCAL
PS106
Event label
DATE/TIME
File name
File format
File size
Uniform resource locator/link to file
Remote sensing Light detection and ranging, LiDAR
PS106/1
Polarstern
Arctic Amplification AC3
description The dataset contains daily nc-files of the Cloudnet ice water content during Polarstern cruise PS106 based on:- 35.5 GHz Cloud radar MIRA.The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883).This variable was calculated from the 35.5-GHz radar reflectivity factor after correction for gaseous attenuation, and temperature taken from a forecast model, using the following empirical formula:log10(iwc[g m-3]) = 0.000242Z[dBZ]T[degC] + 0.0699Z[dBZ] + -0.0186T[degC] + -1.63 (Hogan, 2006, doi:10.1175/JAM2340.1).In this formula Z is taken to be defined such that all frequencies of radar would measure the same Z in Rayleigh scattering ice. However, the radar is more likely to have been calibrated such that all frequencies would measure the same Z in Rayleigh scattering liquid cloud at 0 degrees C. The measured Z is therefore multiplied by|K(liquid,0degC,35GHz)|^2/0.93 = 0.9441before applying this formula.The formula has been used where the ... : Please note: a newer Version is available, see "Replaced by" reference ...
format Dataset
author Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
author_facet Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
author_sort Griesche, Hannes
title Cloudnet IWC during POLARSTERN cruise PS106 ...
title_short Cloudnet IWC during POLARSTERN cruise PS106 ...
title_full Cloudnet IWC during POLARSTERN cruise PS106 ...
title_fullStr Cloudnet IWC during POLARSTERN cruise PS106 ...
title_full_unstemmed Cloudnet IWC during POLARSTERN cruise PS106 ...
title_sort cloudnet iwc during polarstern cruise ps106 ...
publisher PANGAEA
publishDate 2019
url https://dx.doi.org/10.1594/pangaea.900246
https://doi.pangaea.de/10.1594/PANGAEA.900246
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.1594/pangaea.919452
https://dx.doi.org/10.1175/jam2340.1
https://dx.doi.org/10.1175/bams-88-6-883
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.90024610.1594/pangaea.91945210.1175/jam2340.110.1175/bams-88-6-883
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