Bangladesh - Tropical Cyclone Historical Catalogue
<p><strong>Gridded data for major historical tropical cyclones over Bangladesh.</strong></p> <p>Each tropical cyclone has a 9 member ensemble, and comprises of time series and footprints at resolutions of 4.4km and 1.5km based on the Met Office Unified Model dynamically downscaling ECMWF ERA5 data.</p> <p>There are 12 available variables, including: air temperature, maximum wind gust speed, minimum air pressure at sea level and precipitation amounts, available at a range of temporal scales, including model instantaneous values, and hourly and daily aggregations.</p> <p>The catalogue contains the following tropical cyclones (landfall date): <strong>BOB01</strong> (30/04/1991 00:00), <strong>BOB07</strong> (25/11/1995 09:00), <strong>TC01B</strong> (19/05/1997 15:00), <strong>Akash</strong> (14/05/2007 18:00), <strong>Sidr</strong> (15/11/2007 18:00), <strong>Rashmi</strong> (26/10/2008 21:00), <strong>Aila</strong> (25/05/2009 06:00), <strong>Viyaru</strong> (16/05/2013 09:00), <strong>Roanu</strong> (21/05/2016 12:00), <strong>Mora</strong> (30/05/2017 03:00), <strong>Fani</strong> (04/05/2019 06:00), <strong>Bulbul</strong> (09/11/2019 18:00)..</p> <p><strong>File Types</strong></p> <ul> <li><strong>tsens.*.tar.gz </strong>Time series data for each named storm. Dimensions are typically: forecast_period, forecast_reference_time, latitude and longitude. Compressed tar archive containing multiple netCDF files.</li> <li><strong>fpens.*.tar.gz </strong>Time-aggregated data for each ensemble member for each storm. Variables: max gust speed (fg), minimum sea-level pressure (psl), instantaneous u-wind (ua) and v-wind (va) components. Dimensions are typically: forecast_reference_time, latitude and longitude. Compressed tar archive containing multiple netCDF files.</li> <li><strong>fp.fg.T1Hmax.tar.gz </strong>A single best estimate gust-speed (fg) footprint with lower, median and upper bounds accounting for ensemble variation, for each names storm. Compressed tar archive containing multiple netCDF files.</li> <li><strong>fp.Rmodels.fg.tar.gz </strong>R GAM model data used to create best estimate netCDF footprints. Compressed tar archive containing output from <em>mgcv</em> gam model saved as an Rdata file.</li> <li><strong>storm_tracks.tar.gz </strong>Storm tracks for each ensemble member of each names storm from Tempest Extremes tracking algorithm. Compressed tar archive containing multiple .DAT text files.</li> </ul>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4