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...
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Format: | Dataset |
Language: | English |
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PANGAEA
2022
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.943550 https://doi.org/10.1594/PANGAEA.943550 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943550 |
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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) |