Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)

This dataset contains time-height series of dual-wavelength radar reflectivity ratio (DWR) and mean Doppler velocity (MDV) from vertically-pointing observations of a 94-GHz cloud radar (RPG-FMCW-94-SP) and a 24-GHz Micro Rain Radar 2 (MRR-2), located at the AWIPEV observatory in Ny-Ålesund, Svalbard...

Full description

Bibliographic Details
Main Authors: Chellini, Giovanni, Gierens, Rosa, Kneifel, Stefan
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
AC3
RS
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.943550
https://doi.org/10.1594/PANGAEA.943550
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943550
record_format openpolar
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AC3
Arctic Amplification
AWIPEV
AWIPEV_based
Binary Object
Binary Object (File Size)
DATE/TIME
File content
Koldewey
Research station
RS
Spitsbergen
Svalbard
spellingShingle AC3
Arctic Amplification
AWIPEV
AWIPEV_based
Binary Object
Binary Object (File Size)
DATE/TIME
File content
Koldewey
Research station
RS
Spitsbergen
Svalbard
Chellini, Giovanni
Gierens, Rosa
Kneifel, Stefan
Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)
topic_facet AC3
Arctic Amplification
AWIPEV
AWIPEV_based
Binary Object
Binary Object (File Size)
DATE/TIME
File content
Koldewey
Research station
RS
Spitsbergen
Svalbard
description This dataset contains time-height series of dual-wavelength radar reflectivity ratio (DWR) and mean Doppler velocity (MDV) from vertically-pointing observations of a 94-GHz cloud radar (RPG-FMCW-94-SP) and a 24-GHz Micro Rain Radar 2 (MRR-2), located at the AWIPEV observatory in Ny-Ålesund, Svalbard, Norway. This dataset is accompanying Chellini et al. (2022, doi:10.1029/2022JD036860), which contains detailed information on how this dataset was produced. DWR is dependent on the size of the ice particles in the radar volume (e.g., Hogan et al., 2000, doi:10.1175/1520-0426(2000)017<0027:MCSICU>2.0.CO;2), and combined with MDV it can provide information on the processes that lead to the formation of frozen precipitation (e.g., Dias Neto et al., 2019, doi:10.5194/essd-11-845-2019). Measurements are given for two time periods: from 1 September 2017 to 9 October. 2018, and from 14 June 2019 to 28 February 2021. Two different RPG-FMCW-94-SP cloud radar systems were used: MiRAC-A (Mech et al., 2019, doi:10.5194/amt-12-5019-2019) during the first period, and JOYRAD-94 (Küchler et al., 2017, doi:10.1175/JTECH-D-17-0019.1) during the second period. The same MRR-2 (https://metek.de/product/mrr-2/) instrument was used during both periods. Measurements from the 94-GHz cloud radars are averaged to the same time and range resolution as the MRR-2, and DWR values are obtained by dividing the MRR-2 radar reflectivity by the averaged 94-GHz cloud radar reflectivity, then converted to decibels. MDV reported is obtained from the 94-GHz cloud radars alone, and is also averaged to the MRR-2 resolution to enable a joint analysis with DWR. MRR-2 reflectivities were calibrated with a widely used disdrometer-based approach (e.g., Myagkov et al., 2020, doi:10.5194/amt-13-5799-2020), while the DWR values were calibrated using an approach similar to that by Dias Neto et al. (2019, doi:10.5194/essd-11-845-2019). Temperature time series from a co-located weather station (Vaisala WXT536) is also included. The data were collected in the ...
format Dataset
author Chellini, Giovanni
Gierens, Rosa
Kneifel, Stefan
author_facet Chellini, Giovanni
Gierens, Rosa
Kneifel, Stefan
author_sort Chellini, Giovanni
title Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)
title_short Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)
title_full Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)
title_fullStr Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)
title_full_unstemmed Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021)
title_sort dual-wavelength radar observations of precipitation at ny-ålesund (1 sep. 2017 - 9 oct. 2018, 14 june 2019 - 28 feb. 2021)
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.943550
https://doi.org/10.1594/PANGAEA.943550
op_coverage LATITUDE: 78.920000 * LONGITUDE: 11.930000 * DATE/TIME START: 2017-09-01T00:00:00 * DATE/TIME END: 2021-02-28T00:00:00 * MINIMUM ELEVATION: 11.0 m * MAXIMUM ELEVATION: 11.0 m
long_lat ENVELOPE(11.930000,11.930000,78.920000,78.920000)
geographic Arctic
Svalbard
Ny-Ålesund
Norway
geographic_facet Arctic
Svalbard
Ny-Ålesund
Norway
genre Arctic
Arctic
Ny Ålesund
Ny-Ålesund
Svalbard
Spitsbergen
genre_facet Arctic
Arctic
Ny Ålesund
Ny-Ålesund
Svalbard
Spitsbergen
op_relation Chellini, Giovanni; Gierens, Rosa; Kneifel, Stefan (2022): Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level. Journal of Geophysical Research: Atmospheres, 127(16), https://doi.org/10.1029/2022JD036860
Küchler, Nils; Kneifel, Stefan; Löhnert, Ulrich; Kollias, Pavlos; Czekala, Harald; Rose, Thomas (2017): A W-Band Radar–Radiometer System for Accurate and Continuous Monitoring of Clouds and Precipitation. Journal of Atmospheric and Oceanic Technology, 34(11), 2375-2392, https://doi.org/10.1175/JTECH-D-17-0019.1
Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037, https://doi.org/10.5194/amt-12-5019-2019
https://doi.pangaea.de/10.1594/PANGAEA.943550
https://doi.org/10.1594/PANGAEA.943550
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.94355010.1029/2022JD03686010.1175/JTECH-D-17-0019.110.5194/amt-12-5019-2019
_version_ 1813443322181582848
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943550 2024-10-20T14:05:33+00:00 Dual-wavelength radar observations of precipitation at Ny-Ålesund (1 Sep. 2017 - 9 Oct. 2018, 14 June 2019 - 28 Feb. 2021) Chellini, Giovanni Gierens, Rosa Kneifel, Stefan LATITUDE: 78.920000 * LONGITUDE: 11.930000 * DATE/TIME START: 2017-09-01T00:00:00 * DATE/TIME END: 2021-02-28T00:00:00 * MINIMUM ELEVATION: 11.0 m * MAXIMUM ELEVATION: 11.0 m 2022 text/tab-separated-values, 4 data points https://doi.pangaea.de/10.1594/PANGAEA.943550 https://doi.org/10.1594/PANGAEA.943550 en eng PANGAEA Chellini, Giovanni; Gierens, Rosa; Kneifel, Stefan (2022): Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level. Journal of Geophysical Research: Atmospheres, 127(16), https://doi.org/10.1029/2022JD036860 Küchler, Nils; Kneifel, Stefan; Löhnert, Ulrich; Kollias, Pavlos; Czekala, Harald; Rose, Thomas (2017): A W-Band Radar–Radiometer System for Accurate and Continuous Monitoring of Clouds and Precipitation. Journal of Atmospheric and Oceanic Technology, 34(11), 2375-2392, https://doi.org/10.1175/JTECH-D-17-0019.1 Mech, Mario; Kliesch, Leif-Leonard; Anhäuser, Andreas; Rose, Thomas; Kollias, Pavlos; Crewell, Susanne (2019): Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign. Atmospheric Measurement Techniques, 12(9), 5019-5037, https://doi.org/10.5194/amt-12-5019-2019 https://doi.pangaea.de/10.1594/PANGAEA.943550 https://doi.org/10.1594/PANGAEA.943550 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess AC3 Arctic Amplification AWIPEV AWIPEV_based Binary Object Binary Object (File Size) DATE/TIME File content Koldewey Research station RS Spitsbergen Svalbard dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94355010.1029/2022JD03686010.1175/JTECH-D-17-0019.110.5194/amt-12-5019-2019 2024-10-02T00:42:44Z This dataset contains time-height series of dual-wavelength radar reflectivity ratio (DWR) and mean Doppler velocity (MDV) from vertically-pointing observations of a 94-GHz cloud radar (RPG-FMCW-94-SP) and a 24-GHz Micro Rain Radar 2 (MRR-2), located at the AWIPEV observatory in Ny-Ålesund, Svalbard, Norway. This dataset is accompanying Chellini et al. (2022, doi:10.1029/2022JD036860), which contains detailed information on how this dataset was produced. DWR is dependent on the size of the ice particles in the radar volume (e.g., Hogan et al., 2000, doi:10.1175/1520-0426(2000)017<0027:MCSICU>2.0.CO;2), and combined with MDV it can provide information on the processes that lead to the formation of frozen precipitation (e.g., Dias Neto et al., 2019, doi:10.5194/essd-11-845-2019). Measurements are given for two time periods: from 1 September 2017 to 9 October. 2018, and from 14 June 2019 to 28 February 2021. Two different RPG-FMCW-94-SP cloud radar systems were used: MiRAC-A (Mech et al., 2019, doi:10.5194/amt-12-5019-2019) during the first period, and JOYRAD-94 (Küchler et al., 2017, doi:10.1175/JTECH-D-17-0019.1) during the second period. The same MRR-2 (https://metek.de/product/mrr-2/) instrument was used during both periods. Measurements from the 94-GHz cloud radars are averaged to the same time and range resolution as the MRR-2, and DWR values are obtained by dividing the MRR-2 radar reflectivity by the averaged 94-GHz cloud radar reflectivity, then converted to decibels. MDV reported is obtained from the 94-GHz cloud radars alone, and is also averaged to the MRR-2 resolution to enable a joint analysis with DWR. MRR-2 reflectivities were calibrated with a widely used disdrometer-based approach (e.g., Myagkov et al., 2020, doi:10.5194/amt-13-5799-2020), while the DWR values were calibrated using an approach similar to that by Dias Neto et al. (2019, doi:10.5194/essd-11-845-2019). Temperature time series from a co-located weather station (Vaisala WXT536) is also included. The data were collected in the ... Dataset Arctic Arctic Ny Ålesund Ny-Ålesund Svalbard Spitsbergen PANGAEA - Data Publisher for Earth & Environmental Science Arctic Svalbard Ny-Ålesund Norway ENVELOPE(11.930000,11.930000,78.920000,78.920000)