Cloudnet IWC during 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 3...

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Bibliographic Details
Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
AC3
CRS
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.919452
https://doi.org/10.1594/PANGAEA.919452
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.919452
record_format openpolar
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
Cloud Radar
CRS
DATE/TIME
Event label
File format
File name
File size
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-12
PS106_0_Underway-14
PS106/1
TROPOS
Uniform resource locator/link to file
spellingShingle AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
Cloud Radar
CRS
DATE/TIME
Event label
File format
File name
File size
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-12
PS106_0_Underway-14
PS106/1
TROPOS
Uniform resource locator/link to file
Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
Cloudnet IWC during PS106
topic_facet AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
Cloud Radar
CRS
DATE/TIME
Event label
File format
File name
File size
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-12
PS106_0_Underway-14
PS106/1
TROPOS
Uniform resource locator/link to file
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 = 0.9441 before applying this formula. The formula has been used where the \"categorization\" data has diagnosed that the radar echo is due to ice, but note that in some cases supercooled drizzle will erroneously be identified as ice. Missing data indicates either that ice cloud was present but it was only detected by the lidar so its ice water content could not be estimated, or that there was rain below the ice associated with uncertain attenuation of the reflectivities in the ice. Note that where microwave radiometer liquid water path was available it was used to correct the radar for liquid attenuation when liquid cloud occurred below the ice; this is indicated a value of 3 in the iwc_retrieval_status variable. There is some uncertainty in thisprodedure which is reflected by an increase in the associated values in the iwc_error variable. When microwave radiometer data were not available and liquid cloud occurred below the ice, the retrieval was still performed but its reliability is questionable due to the uncorrected liquid water attenuation. This is indicated by a value of 2 in the ...
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 PS106
title_short Cloudnet IWC during PS106
title_full Cloudnet IWC during PS106
title_fullStr Cloudnet IWC during PS106
title_full_unstemmed Cloudnet IWC during PS106
title_sort cloudnet iwc during ps106
publisher PANGAEA
publishDate 2020
url https://doi.pangaea.de/10.1594/PANGAEA.919452
https://doi.org/10.1594/PANGAEA.919452
op_coverage MEDIAN LATITUDE: 71.139870 * MEDIAN LONGITUDE: 12.724180 * SOUTH-BOUND LATITUDE: 57.059650 * WEST-BOUND LONGITUDE: 5.402260 * NORTH-BOUND LATITUDE: 78.083530 * EAST-BOUND LONGITUDE: 21.734540 * DATE/TIME START: 2017-05-24T00:00:00 * DATE/TIME END: 2017-07-18T00:00:00 * MINIMUM ELEVATION: -342.0 m * MAXIMUM ELEVATION: -46.6 m
long_lat ENVELOPE(10.500,10.500,-70.417,-70.417)
ENVELOPE(5.402260,21.734540,78.083530,57.059650)
geographic Arctic
Mira
geographic_facet Arctic
Mira
genre Arctic
Arctic
genre_facet Arctic
Arctic
op_source Leibniz-Institut für Troposphärenforschung e.V., Leipzig
op_relation Griesche, Hannes; Seifert, Patric; Ansmann, Albert; Baars, Holger; Barrientos Velasco, Carola; Bühl, Johannes; Engelmann, Ronny; Radenz, Martin; Zhenping, Yin (in review): Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106. Atmospheric Measurement Techniques Discussions, https://doi.org/10.5194/amt-2019-434
Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2019): Cloudnet IWC during POLARSTERN cruise PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900246
Hogan, Robin J; Mittermaier, Marion P; Illingworth, Anthony J (2006): The Retrieval of Ice Water Content from Radar Reflectivity Factor and Temperature and Its Use in Evaluating a Mesoscale Model. Journal of Applied Meteorology and Climatology, 45(2), 301-317, https://doi.org/10.1175/JAM2340.1
Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883
https://doi.pangaea.de/10.1594/PANGAEA.919452
https://doi.org/10.1594/PANGAEA.919452
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.919452
https://doi.org/10.5194/amt-2019-434
https://doi.org/10.1594/PANGAEA.900246
https://doi.org/10.1175/JAM2340.1
https://doi.org/10.1175/BAMS-88-6-883
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spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.919452 2023-05-15T14:28:15+02:00 Cloudnet IWC during PS106 Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes MEDIAN LATITUDE: 71.139870 * MEDIAN LONGITUDE: 12.724180 * SOUTH-BOUND LATITUDE: 57.059650 * WEST-BOUND LONGITUDE: 5.402260 * NORTH-BOUND LATITUDE: 78.083530 * EAST-BOUND LONGITUDE: 21.734540 * DATE/TIME START: 2017-05-24T00:00:00 * DATE/TIME END: 2017-07-18T00:00:00 * MINIMUM ELEVATION: -342.0 m * MAXIMUM ELEVATION: -46.6 m 2020-06-26 text/tab-separated-values, 220 data points https://doi.pangaea.de/10.1594/PANGAEA.919452 https://doi.org/10.1594/PANGAEA.919452 en eng PANGAEA Griesche, Hannes; Seifert, Patric; Ansmann, Albert; Baars, Holger; Barrientos Velasco, Carola; Bühl, Johannes; Engelmann, Ronny; Radenz, Martin; Zhenping, Yin (in review): Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during Polarstern cruise PS106. Atmospheric Measurement Techniques Discussions, https://doi.org/10.5194/amt-2019-434 Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2019): Cloudnet IWC during POLARSTERN cruise PS106. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.900246 Hogan, Robin J; Mittermaier, Marion P; Illingworth, Anthony J (2006): The Retrieval of Ice Water Content from Radar Reflectivity Factor and Temperature and Its Use in Evaluating a Mesoscale Model. Journal of Applied Meteorology and Climatology, 45(2), 301-317, https://doi.org/10.1175/JAM2340.1 Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883 https://doi.pangaea.de/10.1594/PANGAEA.919452 https://doi.org/10.1594/PANGAEA.919452 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Leibniz-Institut für Troposphärenforschung e.V., Leipzig AC3 Arctic Amplification ARK-XXXI/1.1,PASCAL Cloudnet Cloud Radar CRS DATE/TIME Event label File format File name File size OCEANET-ATMOSPHERE PASCAL Polarstern PS106 PS106_0_Underway-12 PS106_0_Underway-14 PS106/1 TROPOS Uniform resource locator/link to file Dataset 2020 ftpangaea https://doi.org/10.1594/PANGAEA.919452 https://doi.org/10.5194/amt-2019-434 https://doi.org/10.1594/PANGAEA.900246 https://doi.org/10.1175/JAM2340.1 https://doi.org/10.1175/BAMS-88-6-883 2023-01-20T09:13:43Z 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 = 0.9441 before applying this formula. The formula has been used where the \"categorization\" data has diagnosed that the radar echo is due to ice, but note that in some cases supercooled drizzle will erroneously be identified as ice. Missing data indicates either that ice cloud was present but it was only detected by the lidar so its ice water content could not be estimated, or that there was rain below the ice associated with uncertain attenuation of the reflectivities in the ice. Note that where microwave radiometer liquid water path was available it was used to correct the radar for liquid attenuation when liquid cloud occurred below the ice; this is indicated a value of 3 in the iwc_retrieval_status variable. There is some uncertainty in thisprodedure which is reflected by an increase in the associated values in the iwc_error variable. When microwave radiometer data were not available and liquid cloud occurred below the ice, the retrieval was still performed but its reliability is questionable due to the uncorrected liquid water attenuation. This is indicated by a value of 2 in the ... Dataset Arctic Arctic PANGAEA - Data Publisher for Earth & Environmental Science Arctic Mira ENVELOPE(10.500,10.500,-70.417,-70.417) ENVELOPE(5.402260,21.734540,78.083530,57.059650)