Data

High-Resolution Modelling of Extreme Storms over the East Coast of Australia v1.0

Also known as: HiRes_MESECA
CLEX
Dr Alejandro Di Luca (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/604eb7628b4e7&rft.title=High-Resolution Modelling of Extreme Storms over the East Coast of Australia v1.0&rft.identifier=10.25914/604eb7628b4e7&rft.publisher=CLEX&rft.description=This dataset includes data of 11 extreme East Coast Lows simulated using a multi-physics (5), multi-resolution (3) approach for 4 different boundary conditions, leading to a total of 660 simulations. All simulations were performed using the Weather Research and Forecasting (WRF v3.6) regional model using a triple nesting approach with different domain sizes. The outer domain corresponds to the CORDEX (Coordinated Regional Climate Downscaling Experiment) Australasia domain and is discretized using a 24-km horizontal grid spacing. ECMWF ERA Interim (ERAI) reanalysis are use to initialize and drive the model for present climate simulations. For future climate simulations, the Pseudo Global Warming (PGW) approach is used. In this case, initial and boundary conditions are built by adding the climate change signal obtained from a global climate multi-model ensemble from the CMIP5. We selected a total of eleven events featuring an extreme east coast low over the eastern coast of Australia. Events were selected based on their impacts around the Sydney area and the selection includes some of the most iconic events in recent times such as the Pasha Bulker (June 2007) and the June 2016 storms. All events were simulated for a total of 8 days, starting about 4 days before the storm peaked near the Sydney's area. A full list of events dates is given below. Periods: 2007-06-04  to  2007-06-12 2007-06-13  to  2007-06-21 2007-06-22  to   2007-06-30 2001-07-23  to  2001-07-31 2005-03-18  to  2005-03-26 2008-09-02  to  2008-9-10 2015-04-18  to  2015-04-26 2008-08-18  to  2008-08-26 2013-02-17  to  2013-02-25 2016-06-01  to  2016-06-09 2006-09-03  to  2006-09-11 Two sets of simulations were performed for all events using different sources of oceanic boundary conditions (OBCs). One set of simulations was performed using sea surface temperatures (SSTs) directly obtained from the ERA-Interim re-analysis (~0.75 deg). A second set of simulations was performed using the higher spatial resolution SSTs (~0.1 deg) from the Bluelink ReANalysis (BRAN) dataset. The final data product is the post-processing files of all simulations made following CORDEX standards. Names and units of the variables that are available after post-processing. The frequency and the level is also included. Pressure levels are: 200, 500, 700, 850 and 925 hPa. Surface level variables at 1 hr frequency: prm - precipitation rate (mm) 2m surface variables at 1 hr frequency: tas - temperature (K) Surface level variables at 3 hrs frequency: psl - mean sea level pressure (hPa)  sst sea surface temperature (K)  Near-surface level variables at 3 hrs frequency: cape2d - Convective Available Potential Energy - CAPE  (J kg-1)  tpw - total precipitable water (mm)  2m surface variables at 3 hrs frequency: hus - specic humidity (%)   hurs relative humidity (%)  10m surface variables at 3 hrs frequency: uas - zonal wind (m s-1)   vas - meridional wind (m s-1)  Pressure level variables at 6 hrs frequency: ta - temperature (K)  ua - zonal wind (m s-1)  va - meridional wind (m s-1) wa - vertical wind (m s-1)  zg - gepotential height (m)  hus - specic humidity (kg kg-1)  &rft.creator=Dr Alejandro Di Luca&rft.date=2021&rft.coverage=145.0,-40.0 170.0,-40.0 170.0,-20.0 145.0,-20.0 145.0,-40.0&rft_rights=Users are free to share, copy and redistribute the material in any medium or format; adapt, remix, transform, and build upon the material for any purpose, even commercially. Users must give appropriate credit, provide a link to the license, and indicate if changes were made. They may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. They may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.&rft_rights=Creative Commons - Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode&rft_subject=pseudo global warming&rft_subject=convection permitting&rft_subject=Climate Change Processes&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Atmospheric Dynamics&rft.type=dataset&rft.language=English Access the data

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CC-BY

Creative Commons - Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/legalcode

Users are free to share, copy and redistribute the material in any medium or format; adapt, remix, transform, and build upon the material for any purpose, even commercially. Users must give appropriate credit, provide a link to the license, and indicate if changes were made. They may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. They may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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Full description

This dataset includes data of 11 extreme East Coast Lows simulated using a multi-physics (5), multi-resolution (3) approach for 4 different boundary conditions, leading to a total of 660 simulations. All simulations were performed using the Weather Research and Forecasting (WRF v3.6) regional model using a triple nesting approach with different domain sizes.

The outer domain corresponds to the CORDEX (Coordinated Regional Climate Downscaling Experiment) Australasia domain and is discretized using a 24-km horizontal grid spacing.

ECMWF ERA Interim (ERAI) reanalysis are use to initialize and drive the model for present climate simulations. For future climate simulations, the Pseudo Global Warming (PGW) approach is used. In this case, initial and boundary conditions are built by adding the climate change signal obtained from a global climate multi-model ensemble from the CMIP5.

We selected a total of eleven events featuring an extreme east coast low over the eastern coast of Australia. Events were selected based on their impacts around the Sydney area and the selection includes some of the most iconic events in recent times such as the "Pasha Bulker" (June 2007) and the June 2016 storms. All events were simulated for a total of 8 days, starting about 4 days before the storm peaked near the Sydney's area. A full list of events dates is given below.

Periods:

  1. 2007-06-04  to  2007-06-12
  2. 2007-06-13  to  2007-06-21
  3. 2007-06-22  to   2007-06-30
  4. 2001-07-23  to  2001-07-31
  5. 2005-03-18  to  2005-03-26
  6. 2008-09-02  to  2008-9-10
  7. 2015-04-18  to  2015-04-26
  8. 2008-08-18  to  2008-08-26
  9. 2013-02-17  to  2013-02-25
  10. 2016-06-01  to  2016-06-09
  11. 2006-09-03  to  2006-09-11

Two sets of simulations were performed for all events using different sources of oceanic boundary conditions (OBCs). One set of simulations was performed using sea surface temperatures (SSTs) directly obtained from the ERA-Interim re-analysis (~0.75 deg). A second set of simulations was performed using the higher spatial resolution SSTs (~0.1 deg) from the Bluelink ReANalysis (BRAN) dataset. The final data product is the post-processing files of all simulations made following CORDEX standards.

Names and units of the variables that are available after post-processing. The frequency and the level is also included. Pressure levels are: 200, 500, 700, 850 and 925 hPa.

Surface level variables at 1 hr frequency:

  • prm - precipitation rate (mm)

2m surface variables at 1 hr frequency:

  • tas - temperature (K)

Surface level variables at 3 hrs frequency:

  • psl - mean sea level pressure (hPa) 
  • sst sea surface temperature (K) 

Near-surface level variables at 3 hrs frequency:

  • cape2d - Convective Available Potential Energy - CAPE  (J kg-1) 
  • tpw - total precipitable water (mm) 

2m surface variables at 3 hrs frequency:

  • hus - specic humidity (%)  
  • hurs relative humidity (%) 

10m surface variables at 3 hrs frequency:

  • uas - zonal wind (m s-1)  
  • vas - meridional wind (m s-1) 

Pressure level variables at 6 hrs frequency:

  • ta - temperature (K) 
  • ua - zonal wind (m s-1) 
  • va - meridional wind (m s-1)
  • wa - vertical wind (m s-1) 
  • zg - gepotential height (m) 
  • hus - specic humidity (kg kg-1) 

Created: 2021-02-01

Data time period: 2001-07-23 to 2016-06-09

145.0,-40.0 170.0,-40.0 170.0,-20.0 145.0,-20.0 145.0,-40.0

157.5,-30

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