2020
DOI: 10.1186/s40645-020-0321-y
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Variations in extreme wave events near a South Pacific Island under global warming: case study of Tropical Cyclone Tomas

Abstract: The intensification of tropical cyclones (TCs) and wind-induced ocean waves is expected to be amplified under global warming conditions. In 2010, strong TC Tomas approached the Fiji Islands and caused severe damage. Here, an ensemble simulation technique is combined with a pseudo-global warming (PGW) method to investigate future variations in TCs and wind-induced ocean waves. Ensemble PGW simulations were implemented using the weather research and forecasting (WRF) model with five different future projections.… Show more

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Cited by 8 publications
(5 citation statements)
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“…The meteorological fields under different SSPs in the year 2050 from the Coupled Model Intercomparison Project 6 (CMIP6) were downscaled by applying pseudo-global warming (PGW) simulation methods using the Weather Research and Forecasting (WRF) model. ,− Specifically, the 2050 simulations were forced with the National Centers for Environmental Prediction Final (NCEP FNL) Operational Global Analysis data in 2015 plus a climate perturbation (difference between 2050 and 2015) calculated from the climate model results where ΔCMIP6 ssp is the 35-year CMIP6 multimodel ensemble mean change signal under the SSP585 or SSP126 emission scenario …”
Section: Experimental Methodsmentioning
confidence: 99%
“…The meteorological fields under different SSPs in the year 2050 from the Coupled Model Intercomparison Project 6 (CMIP6) were downscaled by applying pseudo-global warming (PGW) simulation methods using the Weather Research and Forecasting (WRF) model. ,− Specifically, the 2050 simulations were forced with the National Centers for Environmental Prediction Final (NCEP FNL) Operational Global Analysis data in 2015 plus a climate perturbation (difference between 2050 and 2015) calculated from the climate model results where ΔCMIP6 ssp is the 35-year CMIP6 multimodel ensemble mean change signal under the SSP585 or SSP126 emission scenario …”
Section: Experimental Methodsmentioning
confidence: 99%
“…For example, Mori et al 48 conducted hindcast simulations using the WRF model and successfully reproduced realistic intensity and track of typhoon Haiyan when applying spectral nudging. Many other studies have applied spectral nudging to reproduce the track of TCs similar to observations 33,35,[49][50][51] . We have conducted additional model simulations to identify how much the track and intensity of TC would be changed when spectral nudging is not applied.…”
Section: Discussionmentioning
confidence: 84%
“…We conducted dynamic downscaling to drive the WRF simulations over China domain, following the same configurations and data as our previous study 31,33 .This quasi-climate simulation approach minimizes the number of scenarios that need to be simulated, considering that a perturbation amount added to the base of each baseline does not need to be repeated by averaging the base year over many years 44 .The biggest difference is that the boundary conditions are combined and come from the reanalysis information and the difference between the future year and the base year simulated by the global climate model. The advantage of this method is that it minimizes the workload of dynamical downscaling and also reduces the systematic errors of climate models, so the new method of quasi-climate simulation has been widely used [45][46][47][48] . Biogenic emission was simulated with the Model of Emissions of Gases and Aerosols from Nature (MEGAN version 2.10) 49 31,32 .…”
Section: Model Configurationmentioning
confidence: 99%