Published August 3, 2023 | Version 1.0
Dataset Open

Radar-derived storm characteristics and convective diagnostics associated with hourly maximum measured wind gusts around Australia

  • 1. ARC Center of Excellence for Climate Extremes, University of Melbourne
  • 2. Australian Bureau of Meteorology, Melbourne, Australia
  • 3. ARC Centre of Excellence for Climate Extremes, The University of Melbourne, Australia

Description

The data in this record describes various characteristics associated with hourly measured surface wind gusts across various locations in Australia, with these characteristics and data sources described below.

This record provides all data used in the preparation of Brown et al. (2023a), except for lightning data that can be obtained from the World Wide Lightning Location Network archive

Record contents

  • gust_observations.zip
    Within this zip archive, a .csv file is provided for wind gust observations, along with associated storm statistics from radar, and convective diagnostics from a global reanalysis. These data are provided for each of the 20 radar domains listed in Brown et al. (2023a). The .csv files follow the structure: gust_observations_x.csv, where is the identification number for each radar from the Australian Unified Radar Archive.
     
  • station_details.csv
    This file provides details on the automatic weather stations that measure the wind gusts, with station identifiers (column=Station_id) consistent between station_details.csv and gust_observations_x.csv.
     
  • Table1.pdf 
    Descriptions of convective diagnostics from reanalysis, that are provided in gust_observations_x.csv. This table has been extracted from the supplementary information of Brown et al. (2023a), and references in this table can be found therein.
     
  • radar_details.pdf 
    Taken from Table 1 from Brown et al. (2023a), showing the details of radars used here for storm statistics in gust_observations_x.csv.
     
  • Fig1.jpeg
    Taken from from Brown et al. (2023a), showing a map of the radar domains used here for storm statistics in gust_observations_x.csv.

Wind gust data

Measured wind gusts here represent a 3-second average wind speed, at a height of 10 m above ground level. We also provide some derived quantities from the gust data (see table below). Gust data is provided by the Australian Bureau of Meteorology, from 204 automatic weather stations (station_details.csv), chosen to be within 100 km of a weather radar with sufficient archived data. These data are originally provided by the Bureau of Meteorology at 1-minute frequency, representing a maximum over a 1-minute interval, but are resampled in this record to hourly frequency, for comparisons with other hourly data below (see Brown et al. (2023a) for details of this resampling). Note that any reuse of this data should properly acknowledge the Australian Bureau of Meteorology.

Radar data

Radar data is obtained by the Australian Unified Radar Archive (AURA), produced from operational weather radar within the Australian Bureau of Meteorology network. The level1b data used here is available from the AURA dataset on the Australian NCI under a CC4-BY-NC licence from https://dx.doi.org/10.25914/5f4c85732ee80. Various properties derived from radar reflectivity and Doppler velocity data is reported here in association with the wind gust observations. These properties are only reported if there is a storm object within 10 km and 10 minutes of the gust location (see Brown et al. (2023a) for storm object definition). Radar properties are described in the table below.

Environmental data

Various convective diagnostics are associated with wind gust observations, representing the convective environment and large-scale wind profile. These diagnostics are derived from a combination of pressure-level and surface-level ERA5 data (Hersbach et al. 2020), which is provided at hourly intervals on a 0.25-degree latitude-longitude grid, hosted on the Australian NCI (http:// dx.doi.org/10.25914/5fb115b82e2ba). Details on these convective diagnostics are provided in Brown et al. (2023a), and in Table1.pdf as provided in this record.

Column descriptions

The following table provides descriptions of columns of gust_observations_x.csv

Column name Description
dt_utc Time of the measured wind gust, from the automatic weather station data (YYYY-MM-DD HH:MM:SS UTC)
Station_id Identification number of the weather station that measured the gust. See station_details.csv for details of each station
Wind_gust_observed The measured wind gust speed (m/s)
Peak_to_mean_wind_gust_ratio Ratio of the measured wind gust to the 4-hour mean at that station (with the window centred on the gust time)
SCW Is the measured gust a severe convective wind event?
0: Gust is either less than 25 m/s, does not have a storm object within 10 km, or has a peak-to-mean wind gust ratio less than 2.
1: Gust is greater than 25 m/s, has a storm object within 10 km, and has a peak-to-mean wind gust ratio greater than 2.
Radar_id Radar identification number (see radar_details.pdf)
Storm_speed Translational speed of the parent storm object (m/s). Only defined if Storm_in10km=1
Storm_angle Angle of parent storm object movement. In units of degrees from N. Only defined if Storm_in10km=1
Parent_storm_class The type of parent storm associated with a gust. Only defined if Storm_in10km=1. Possible types are:
"Non-linear"
"Linear"
"Cellular"
"Cell cluster"
"Supercellular"
"Embedded supercell"
See Brown et al. (2023a) for classification details
Storm_in10km Is there a radar-derived storm object within 10 km of the gust, observed no more than 10 minutes prior to the gust?
0: No
1: Yes
See Brown et al. (2023a) for a definition of "storm object"
Major_axis_length The length of the major axis of an ellipse fitted to the parent storm object (km). Only defined if Storm_in10km=1
Minor_axis_length The length of the minor axis of an ellipse fitted to the parent storm object (km). Only defined if Storm_in10km=1
Local_reflectivity_maxima Number of local reflectivity maxima within the parent storm object. Only defined if Storm_in10km=1
Maximum_storm_altitude The maximum height of the parent storm radar reflectivity object (km). Only defined if Storm_in10km=1
Azimuthal_shear Azimuthal shear of the parent storm object derived from radar data (s-1 x 1000). Only defined if Storm_in10km=1. See Brown et al (2023a) for a discussion of azimuthal shear and processing applied to this quantity here.
ERA5_time Time of the ERA5 environmental data that is associated with the measured gust, corresponding to the closest previous hour (YYYY-MM-DD HH:MM:SS UTC).
ERA5_latitude Location of closest ERA5 (land) grid point to measured gust, in degrees of latitude
ERA5_longitude Location of closest ERA5 (land) grid point to measured gust, in degrees of longitude
Environmental_cluster Event type, based on statistical clustering of environmental data (Brown et al. 2023b)
0: Strong background wind cluster
1: Steep lapse rate cluster
2: High moisture cluster
Umean06 Convective diagnostic derived from ERA5 data. See Table1.pdf
Umean01 Convective diagnostic derived from ERA5 data. See Table1.pdf
U10 Convective diagnostic derived from ERA5 data. See Table1.pdf
WindGust10 Convective diagnostic derived from ERA5 data. See Table1.pdf
S06 Convective diagnostic derived from ERA5 data. See Table1.pdf
EBWD Convective diagnostic derived from ERA5 data. See Table1.pdf
Umeanwindinf Convective diagnostic derived from ERA5 data. See Table1.pdf
SRHE Convective diagnostic derived from ERA5 data. See Table1.pdf
SRH06 Convective diagnostic derived from ERA5 data. See Table1.pdf
DMI Convective diagnostic derived from ERA5 data. See Table1.pdf
LR_subcloud Convective diagnostic derived from ERA5 data. See Table1.pdf
LR_freezing Convective diagnostic derived from ERA5 data. See Table1.pdf
LR03 Convective diagnostic derived from ERA5 data. See Table1.pdf
LR13 Convective diagnostic derived from ERA5 data. See Table1.pdf
WMSI Convective diagnostic derived from ERA5 data. See Table1.pdf
BDSD Convective diagnostic derived from ERA5 data. See Table1.pdf
ConvGust_wet Convective diagnostic derived from ERA5 data. See Table1.pdf
ConvGust_dry Convective diagnostic derived from ERA5 data. See Table1.pdf
GUSTEX Convective diagnostic derived from ERA5 data. See Table1.pdf
DmgWind Convective diagnostic derived from ERA5 data. See Table1.pdf
DmgWind_fixed Convective diagnostic derived from ERA5 data. See Table1.pdf
DCAPE Convective diagnostic derived from ERA5 data. See Table1.pdf
WMPI Convective diagnostic derived from ERA5 data. See Table1.pdf
WINDEX Convective diagnostic derived from ERA5 data. See Table1.pdf
DowndraftTemp Convective diagnostic derived from ERA5 data. See Table1.pdf
ThetaeDiff Convective diagnostic derived from ERA5 data. See Table1.pdf
TEI Convective diagnostic derived from ERA5 data. See Table1.pdf
WNDG Convective diagnostic derived from ERA5 data. See Table1.pdf
DCP Convective diagnostic derived from ERA5 data. See Table1.pdf
SCP Convective diagnostic derived from ERA5 data. See Table1.pdf
SCP_fixed Convective diagnostic derived from ERA5 data. See Table1.pdf
SHERB Convective diagnostic derived from ERA5 data. See Table1.pdf
SHERBE Convective diagnostic derived from ERA5 data. See Table1.pdf
SWEAT Convective diagnostic derived from ERA5 data. See Table1.pdf
MUCS6 Convective diagnostic derived from ERA5 data. See Table1.pdf
MLCS6 Convective diagnostic derived from ERA5 data. See Table1.pdf
EffCS6 Convective diagnostic derived from ERA5 data. See Table1.pdf
T_Totals Convective diagnostic derived from ERA5 data. See Table1.pdf
K_Index Convective diagnostic derived from ERA5 data. See Table1.pdf
Eff_CAPE Convective diagnostic derived from ERA5 data. See Table1.pdf
Eff_LCL Convective diagnostic derived from ERA5 data. See Table1.pdf
MLCAPE Convective diagnostic derived from ERA5 data. See Table1.pdf
ML_LCL Convective diagnostic derived from ERA5 data. See Table1.pdf
MUCAPE Convective diagnostic derived from ERA5 data. See Table1.pdf
MU_LCL Convective diagnostic derived from ERA5 data. See Table1.pdf
Qmean01 Convective diagnostic derived from ERA5 data. See Table1.pdf
Qmean06 Convective diagnostic derived from ERA5 data. See Table1.pdf

References

Brown, A., Dowdy, A., Lane, T. P., & Hitchcock, S. (2023b). Types of Severe Convective Wind Events in Eastern Australia. Monthly Weather Review, 151(2), 419–448. https://doi.org/10.1175/MWR-D-22-0096.1

Brown, A., A. Dowdy, T. P. Lane, & Hitchcock, S. (2023a). Long-term observational characteristics of different severe convective wind types around Australia. Wea. Forecastinghttps://doi.org/10.1175/WAF-D-23-0069.1, in press.

Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 Global Reanalysis. Quarterly Journal of the Royal Meteorological Society, qj.3803. https://doi.org/10.1002/qj.3803

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Additional details

Funding

Australian Research Council
ARC Centres of Excellence - Grant ID: CE170100023 CE170100023