Gehring, Josué; Ferrone, Alfonso; Alexander, Simon; Protat, Alain; Vignon, Etienne; Berne, Alexis (2021): Radar, meteorological measurements, and WRF simulations from 08 to 10 January 2019 at Davis station, Antarctica [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.939340
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
This dataset contains radar and ground-based measurements of precipitation collected from 08 to 10 January 2019 at Davis station, Antarctica. It includes observations from an X-band dual-polarisation Doppler radar, a W-band Doppler cloud profiler, a VHF wind profiler, and a Raman Lidar. A classification of hydrometeor types based on dual-polarisation measurements is also available. The dual-frequency ratio based on the X-band and W-band reflectivity measurements is made available on a common grid. WRF simulations at 27, 9, 3, and 1 km resolution centred around Davis are provided. Finally, automatic weather station and radiosounding measurements are also included.
Supplement to:
Gehring, Josué; Vignon, Etienne; Billault-Roux, Anne-Claire; Protat, Alain; Alexander, Simon; Berne, Alexis (in review): The influence of orographic gravity waves on precipitation during an atmospheric river event at Davis, Antarctica. Journal of Geophysical Research: Atmospheres, https://doi.org/10.1002/essoar.10507051.1
Related to:
Gehring, Josué; Ferrone, Alfonso; Alexander, Simon; Protat, Alain; Vignon, Etienne; Berne, Alexis (2021): Meteorological observations from automatic weather station located at Davis, Antarctica (2019-01-01 - 2019-01-31). PANGAEA, https://doi.org/10.1594/PANGAEA.939364
Gehring, Josué; Ferrone, Alfonso; Alexander, Simon; Protat, Alain; Vignon, Etienne; Berne, Alexis (2021): Radiosonde measurements from Davis Station (2019-01). PANGAEA, https://doi.org/10.1594/PANGAEA.939367
Further details:
Besic, Nikola; Figueras i Ventura, Jordi; Grazioli, Jacopo; Gabella, Marco; Germann, Urs; Berne, Alexis (2016): Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach. Atmospheric Measurement Techniques, 9(9), 4425-4445, https://doi.org/10.5194/amt-9-4425-2016
Besic, Nikola; Gehring, Josué; Praz, Christophe; Figueras i Ventura, Jordi; Grazioli, Jacopo; Gabella, Marco; Germann, Urs; Berne, Alexis (2018): Unraveling hydrometeor mixtures in polarimetric radar measurements. Atmospheric Measurement Techniques, 11(8), 4847-4866, https://doi.org/10.5194/amt-11-4847-2018
Vignon, Etienne; Traullé, Olivier; Berne, Alexis (2019): On the fine vertical structure of the low troposphere over the coastal margins of East Antarctica. Atmospheric Chemistry and Physics, 19(7), 4659-4683, https://doi.org/10.5194/acp-19-4659-2019
Coverage:
Latitude: -68.576300 * Longitude: 77.968900
Minimum Elevation: 15.0 m * Maximum Elevation: 15.0 m
Event(s):
Davis_Station * Latitude: -68.576300 * Longitude: 77.968900 * Elevation: 15.0 m * Location: Antarctica * Method/Device: Research station (RS)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Method comment | Method comm | Gehring, Josué | |||
| 2 | Description | Description | Gehring, Josué | |||
| 3 | Binary Object | Binary | Gehring, Josué | |||
| 4 | Binary Object (Media Type) | Binary (Type) | Gehring, Josué | |||
| 5 | Binary Object (File Size) | Binary (Size) | Bytes | Gehring, Josué | ||
| 6 | Binary Object (MD5 Hash) | Binary (Hash) | Gehring, Josué |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
39 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Method comm | 2 Description | 3 Binary | 4 Binary (Type) | 5 Binary (Size) [Bytes] | 6 Binary (Hash) |
|---|---|---|---|---|---|
| Doppler cloud profiler BASTA | This archive contains the BASTA data from 08 to 10 January 2019. The latitude and longitude given in the files are wrong, the exact lat/lon coordinate of BASTA is: 68°34'36.18S, 77°58'19.86E, 10 m a.s.l. | BASTA.tar.gz | application/gzip | 21.3 MBytes | 3974d81c81070b6fe95151302effa5a1 |
| Dual frequency data | This archive contains the data of the dual-frequency ratios (Z_X/Z_W) binned into a common 10 min and 50 m grid. More information are provided in section 2.1.2 of Gehring et al. 2021. The Ze profiles are given in dBZ. The time unit is seconds since Jan 01 1970. | DFR.tar.gz | application/gzip | 496.4 kBytes | af0932e83a02b08801e35c96bca086b0 |
| Hydrometeor classification | This archive contains the hydrometeor classification of MXPol polarimetric data binned into a regular time, height range grid. All RHIs for horizontal distances greater than 6 km and excluding elevation angles between 45° and 135° are considered. More information on the hydrometeor classification method can be found in Besic et al. 2016, Besic et al. 2018. | Hydrometeor_time_height_normalized_gridded_20190108T0000-20190110T1000.nc | application/x-hdf | 1.5 MBytes | c36c7d01242f48d1b6f12015b019332a |
| MXPol | This archive contains the RHI scans at 52° azimuth. One can open the archive in a bash shell with tar -xzvf MXPol_RHI_scans.tar.gz. This will lead to the following file structure: MXPol_RHI_scans/mm/MXPol-cfradial-yyyymmdd-hhmmss-RHI-52_0.nc. | MXPol_RHI_scans.tar.gz | application/gzip | 2.9 GBytes | 6708c5b79c6c26f408de124b2ebec062 |
| MXPol | This archive contains the spectra of the vertical profiles (PPI at 90°) of MXPol. Each file contains the spectra averaged over all azimuths of the PPI at 90°. The timestamp is given in the filename (XPOL-yyyymmdd-hhmmss_averaged.nc). | MXPol_spectra_averaged.tar.gz | application/gzip | 86.8 MBytes | 8cdd9cd7dad43b24e43c8b578c0948fb |
| Raman Lidar cloud classification | This archive contains the cloud classification from the Raman lidar from 08 to 10 January 2019. | RMAN.tar.gz | application/gzip | 51.5 MBytes | 7c9086d186f0e8b7fefce2269cfa1fef |
| Radiosoundings | The archive Radiosoundings.tar.gz contains the radiosoundings files at Davis: Davis_RS_yyyymmdd_hh.txt. The time is in UTC. The variables are tab separated and the variables names is (from left to right): Altitude A.G.L (m), Pressure (Pa), Temperature (K), Specific humidity (kg/kg), RH w.r.t liq (%), RH w.r.t ice (%), Wind speed (m/s), Wind direction (°). | Radiosoundings.tar.gz | application/gzip | 162.9 kBytes | 13fcefab4cc7e3d34fe299d086255b53 |
| VHF wind profiler | The tar contains the VHF wind profiles data. The file structure is: yyyymmdd_VHF_SEQ.nc. The time variable is given in string with the format: hh:mm:ss dd/mm/yyyy in UTC. | VHF.tar.gz | application/gzip | 434.2 kBytes | 327b401047d93c024ff872173742667b |
| Automatic weather station AWS | The file contains the data from an automatic weather station located at Davis, Antarctica. The file is coma separated and the variables' names is given in the first row. The units are (from left to right): AIR_PRESSURE (hPa),AIR_TEMPERATURE (°C),OBSERVATION_DATE (yyyy-mm-dd HH:MM:SS),RELATIVE_HUMIDITY (%),WIND_DIRECTION (°),WIND_SPEED (knot) | aws_1minute_20190101-20190131.csv | text/plain | 1.8 MBytes | 6d2bad864cc0b40dc7aae13671612dc2 |
| Weather Research and Forecasting model WRF | The file contains the WRF files for one of the four different domains (XX=d01, d02, d03, d04). d01 is the largest and lowest resolution domain, more information is provided in Gehring et al. 2021. | wrfout_Davis1_v2_d01_2019-01-07_00:00:00.nc | application/x-hdf | 6.9 GBytes | bca94996d228dd0538e989b73eb690f5 |
| Weather Research and Forecasting model WRF | The file contains the WRF files for one of the four different domains (XX=d01, d02, d03, d04). d01 is the largest and lowest resolution domain, more information is provided in Gehring et al. 2021. | wrfout_Davis1_v2_d02_2019-01-07_00:00:00.nc | application/x-hdf | 7 GBytes | a12e6ebeda3f0d3a89583e72efb94f9f |
| Weather Research and Forecasting model WRF | The file contains the WRF files for one of the four different domains (XX=d01, d02, d03, d04). d01 is the largest and lowest resolution domain, more information is provided in Gehring et al. 2021. | wrfout_Davis1_v2_d03_2019-01-07_00_less_vars.nc | application/x-hdf | 12.2 GBytes | 0a8b7c5056c394999f5e291f6d48d4cc |
| Weather Research and Forecasting model WRF | The file contains the WRF files for one of the four different domains (XX=d01, d02, d03, d04). d01 is the largest and lowest resolution domain, more information is provided in Gehring et al. 2021. | wrfout_Davis1_v2_d04_2019-01-07_00:00:00_less_vars.nc | application/x-hdf | 11.4 GBytes | f69fd1919fb4511d45e362fa56e6ce70 |