High resolution numerical simulation of Tropical Cyclone Drena undergoing extra-tropical transition

1998 ◽  
Vol 65 (3-4) ◽  
pp. 207-222 ◽  
Author(s):  
B. W. Buckley ◽  
L. M. Leslie
Keyword(s):  
Numerical Simulation ◽  
High Resolution ◽  
Tropical Cyclone

Real-time numerical simulation of tropical cyclone Nilam with WRF: experiments with different initial conditions, 3D-Var and Ocean Mixed Layer Model

2015 ◽  
Vol 77 (2) ◽  
pp. 597-624 ◽  
Author(s):  
Greeshma M. Mohan ◽  
C. V. Srinivas ◽  
C. V. Naidu ◽  
R. Baskaran ◽  
B. Venkatraman
Keyword(s):  
Numerical Simulation ◽  
Tropical Cyclone ◽  
Real Time ◽  
Mixed Layer ◽  
Initial Conditions ◽  
Ocean Mixed Layer ◽  
Layer Model ◽  
Mixed Layer Model

scholarly journals Future Changes in Tropical Cyclone Activity in High‐Resolution Large‐Ensemble Simulations

2017 ◽  
Vol 44 (19) ◽  
pp. 9910-9917 ◽  
Author(s):  
Kohei Yoshida ◽  
Masato Sugi ◽  
Ryo Mizuta ◽  
Hiroyuki Murakami ◽  
Masayoshi Ishii
Keyword(s):  
High Resolution ◽  
Tropical Cyclone ◽  
Tropical Cyclone Activity ◽  
Cyclone Activity ◽  
Large Ensemble ◽  
Ensemble Simulations

scholarly journals A Comparison of Tropical Cyclone Projections in a High-resolution Global Climate Model and from Downscaling by Statistical and Statistical-deterministic Methods

2021 ◽  
pp. 1-48
Author(s):  
Renzhi Jing ◽  
Ning Lin ◽  
Kerry Emanuel ◽  
Gabriel Vecchi ◽  
Thomas R. Knutson
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Tropical Cyclone ◽  
Deterministic Model ◽  
Global Climate Model ◽  
First Century ◽  
Return Level ◽  
Geophysical Fluid Dynamics Laboratory ◽  
Moderate Increase ◽  
Twenty First Century

AbstractIn this study, we investigate the response of tropical cyclones (TCs) to climate change by using the Princeton environment-dependent probabilistic tropical cyclone (PepC) model and a statistical-deterministic method to downscale TCs using environmental conditions obtained from the Geophysical Fluid Dynamics Laboratory (GFDL) High-resolution Forecast-oriented Low Ocean Resolution (HiFLOR) model, under the Representative Concentration Pathway 4.5 (RCP4.5) emissions scenario for the North Atlantic basin. The downscaled TCs for the historical climate (1986-2005) are compared with those in the mid- (2016-35) and late-twenty-first century (2081-2100). The downscaled TCs are also compared with TCs explicitly simulated in HiFLOR. We show that while significantly more storms are detected in HiFLOR towards the end of the twenty-first century, the statistical-deterministic model projects a moderate increase in TC frequency, and PepC projects almost no increase in TC frequency. The changes in storm frequency in all three datasets are not significant in the mid-twenty-first century. All three project that storms will become more intense and the fraction of major hurricanes and Category 5 storms will significantly increase in the future climates. However, HiFLOR projects the largest increase in intensity while PepC projects the least. The results indicate that HiFLOR’s TC projection is more sensitive to climate change effects and statistical models are less sensitive. Nevertheless, in all three datasets, storm intensification and frequency increase lead to relatively small changes in TC threat as measured by the return level of landfall intensity.

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