English
Related papers

Related papers: A simple model for predicting the hurricane radius…

200 papers

The objective of this paper is to employ machine learning (ML) and deep learning (DL) techniques to obtain from input data (storm features) available in or derived from the HURDAT2 database models capable of simulating important hurricane…

Atmospheric and Oceanic Physics · Physics 2022-09-16 Rikhi Bose , Adam L. Pintar , Emil Simiu

Boundary layer processes drive the air-sea exchange of momentum, heat, and moisture that powers and shapes hurricanes. The height of the boundary layer is a critical parameter in engineering and meteorological models of hurricane wind…

Fluid Dynamics · Physics 2026-05-06 Kishore Ram Sathia , Marco Giovanni Giometto

Hurricane track forecasting remains a significant challenge due to the complex interactions between the atmosphere, land, and ocean. Although AI-based numerical weather prediction models, such as Google Graphcast operation, have…

Anthropogenic influences have been linked to tropical cyclone (TC) poleward migration, TC extreme precipitation, and an increased proportion of major hurricanes [1, 2, 3, 4]. Understanding past TC trends and variability is critical for…

Atmospheric and Oceanic Physics · Physics 2024-02-02 Buo-Fu Chen , Boyo Chen , Chun-Min Hsiao , Hsu-Feng Teng , Cheng-Shang Lee , Hung-Chi Kuo

We describe results from the second stage of a project to build a statistical model for hurricane tracks. In the first stage we modelled the unconditional mean track. We now attempt to model the unconditional variance of fluctuations around…

Atmospheric and Oceanic Physics · Physics 2007-05-23 Tim Hall , Stephen Jewson

The influence of dust devils on the martian atmosphere depends on their capacity to loft dust, which depends on their wind profiles and footprint on the martian surface, i.e., on their radii, $R$. Previous work suggests the wind profile…

Earth and Planetary Astrophysics · Physics 2020-02-26 Brian Jackson

Evidence is provided that the global distribution of tropical hurricanes is principally determined by a universal function H of a single variable z that in turn is expressible in terms of the local sea surface temperature and latitude. The…

Atmospheric and Oceanic Physics · Physics 2010-05-11 Robert Ehrlich

A physical model is proposed for the estimation of the foam impact on the variation of the effective drag coefficient, C_d, with reference to the wind speed U10 in stormy and hurricane conditions. In the present model C_d is approximated by…

Atmospheric and Oceanic Physics · Physics 2014-10-07 Ephim Golbraikh , Yuri M. Shtemler

Emanuel's concept of Maximum Potential Intensity (E-PI) relates the maximum velocity $V_{\rm max}$ of tropical storms, assumed to be in gradient wind balance, to environmental parameters. Several studies suggested that the unbalanced flow…

This paper presents a modeling approach for probabilistic estimation of hurricane wind-induced damage to infrastructural assets. In our approach, we employ a Nonhomogeneous Poisson Process (NHPP) model for estimating spatially-varying…

Applications · Statistics 2021-05-11 Derek Chang , Kerry Emanuel , Saurabh Amin

[abridged] Radiation pressure on dust grains may be an important mechanism in driving winds in a wide variety of astrophysical systems. However, the efficiency of the coupling between the radiation field and the dusty gas is poorly…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 Mark R. Krumholz , Todd A. Thompson

In this paper, we study the problem of forecasting the next year's number of Atlantic hurricanes, which is relevant in many fields of applications such as land-use planning, hazard mitigation, reinsurance and long-term weather derivative…

Applications · Statistics 2024-11-19 Pietro Colombo , Raffaele Mattera , Philipp Otto

Global return values of marine wind speed and significant wave height are estimated from very large aggregates of archived ensemble forecasts at +240-h lead time. Long lead time ensures that the forecasts represent independent draws from…

Atmospheric and Oceanic Physics · Physics 2014-07-22 Øyvind Breivik , Ole Johan Aarnes , Saleh Abdalla , Jean-Raymond Bidlot , Peter A. E. M. Janssen

Fast and accurate prediction of hurricane evolution from genesis onwards is needed to reduce loss of life and enhance community resilience. In this work, a novel model development methodology for predicting storm trajectory is proposed…

Atmospheric and Oceanic Physics · Physics 2021-11-25 Rikhi Bose , Adam Pintar , Emil Simiu

The third paper of the series (see previous ones in Refs.[1-2]) discusses basic physicalprocesses in the (quasi-) steady hurricane boundary layer (HBL), develops an approximate airflow model, establishes the HBL structure, and presents…

Atmospheric and Oceanic Physics · Physics 2008-12-18 Arkady I. Leonov

The aim of this paper is to contribute to the understanding and to model the processes controlling the amplitude of the wind of Rayleigh-Benard convection. We analyze results from direct simulation of an L/H = 4 aspect-ratio domain with…

Fluid Dynamics · Physics 2009-09-29 Maarten van Reeuwijk , Harm J. J. Jonker , Kemo Hanjalic

One way to predict hurricane numbers would be to predict sea surface temperature, and then predict hurricane numbers as a function of the predicted sea surface temperature. For certain parametric models for sea surface temperature and the…

Atmospheric and Oceanic Physics · Physics 2007-05-23 Stephen Jewson

The concept of Maximum Potential Intensity (MPI) is widely used in tropical cyclone research to estimate the minimum central pressure and the maximum velocity of tropical storms from environmental parameters. The MPI pressure derives from…

Atmospheric and Oceanic Physics · Physics 2018-01-23 A. M. Makarieva , V. G. Gorshkov , A. V. Nefiodov , A. V. Chikunov , D. Sheil , A. D. Nobre , B. -L. Li

Reliable assessment of tropical cyclone (TC) risk is limited by the brevity and spatial sparsity of the historical record, particularly for the rare, high-intensity landfalls that dominate insured loss. We present WHITS (Wind-focused…

Machine Learning · Computer Science 2026-05-21 Jennifer Nakamura , Upmanu Lall

Storm surge, the onshore rush of sea water caused by the high winds and low pressure associated with a hurricane, can compound the effects of inland flooding caused by rainfall, leading to loss of property and loss of life for residents of…

Applications · Statistics 2009-09-29 Brian J. Reich , Montserrat Fuentes