Climate model output from a study of tropical cyclones over the Shanghai region under climate change based on a convection-permitting modelling

Changes in tropical cyclones due to greenhouse-gas forcing in the Shanghai area have been studied in a double-nesting regional model experiment using the Met Office convection-permitting model HadREM3-RA1T at 4km resolution and the regional model HadREM3-GA7.05 at 12km for the intermediate nest. Boundary conditions for the experiment have been constructed from HadGEM2-ES, a General Circulation Model (GCM) from the 5th Coupled Model Intercomparison Project (CMIP5), directly using high-frequency data for the atmosphere (6-hourly) and the ocean (daily), for the historical period (1981-2000) and under the Representative Concentration Pathway 8.5 (2080-2099). These choices identify one of the warmest climate scenarios available from CMIP5. Given the direct use of GCM data for the baseline, large scale conditions relevant for tropical cyclones have been analyzed, demonstrating a realistic representation of environmental conditions off the coast of eastern China. GCM large scale changes show a..., Data has been generated by climate models and converted to NetCDF4 format (interfaces for commonly used languages available at https://www.unidata.ucar.edu/software/netcdf/), following the CF metadata convention (https://cfconventions.org/) . The conversion has been done using the IRIS package under Python (https://scitools-iris.readthedocs.io/en/latest/index.html) and the NCO utilities (https://nco.sourceforge.net/). The buffer zone has been removed from the output of limited area models., Standard UNiX tar to uncompress and expand, NetCDF support for most commonly used software environemt (e.g., Fortran, Python, R) available at https://www.unidata.ucar.edu/software/netcdf/, This readme file was generated on 2024-02-16 by Erasmo Buonomo

GENERAL INFORMATION

Title of Dataset: Climate model output from a study of tropical cyclones over the Shanghai region under climate change
based on a convection-permitting modelling

Author Information
Name: Erasmo Buonomo
ORCID:
Institution: Hadley Centre - Met Office
Address: Fitzroy Road, Exeter, EX1 3PB, UK
Email:

Alternate Contact Information
Name: Nicholas Savage
ORCID:
Institution: Hadley Centre - Met Office
Address: Fitzroy Road, Exeter, EX1 3PB, UK
Email:

Date of data collection: Simulations run in different period, collected in the current format by 2022-12-20

Geographic location of data collection: HadGEM2-ES global1.875x1.125 degrees horizontal resolution,
HadREM3-GA705 domain over China at 12km horizontal resolution,
HadREM3-RA1T domain over eastern China at 4km horizontal resolution.

Information about funding sources that supported the collection of the data:
Newton Fund, Climate Science for Service P...