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Minimum central pressure ($P_{min}$) is an integrated measure of the tropical cyclone wind field and is known to be a useful indicator of storm damage potential. A simple model that predicts $P_{min}$ from routinely-estimated quantities,…

Geophysics · Physics 2024-02-26 Daniel R Chavas , John A Knaff , Philip J Klotzbach

Mediterranean cyclones are extreme meteorological events of which much less is known compared to their tropical, oceanic counterparts. The raising interest in such phenomena is due to their impact on a region increasingly more affected by…

Atmospheric and Oceanic Physics · Physics 2025-01-28 L. Roveri , L. Fery , L. Cavicchia , F. Grotto

Short-term forecasting is an important tool in understanding environmental processes. In this paper, we incorporate machine learning algorithms into a conditional distribution estimator for the purposes of forecasting tropical cyclone…

Machine Learning · Statistics 2020-08-19 David B. Huberman , Brian J. Reich , Howard D. Bondell

We show that the index in higher-dimensional cluster categories mutates according to a higher-dimensional version of tropical coefficient dynamics.

Representation Theory · Mathematics 2023-04-28 Steffen Oppermann , Hugh Thomas

Using lightning strikes as an example, two possible schemes are discussed for the attribution of changes in event frequency to climate change, and estimating the cost associated with them. The schemes determine the fraction of events that…

Applications · Statistics 2015-10-21 Anthony J. Webster

The potential intensity (PI) theory of tropical cyclones (TCs) provides a reasonable estimate of the steady-state intensity in a quiescent environment. The theory relies on the symmetric neutrality (SN) assumption, where absolute angular…

Atmospheric and Oceanic Physics · Physics 2026-03-24 Chau-Lam Yu

Increasing greenhouse gases will change many aspects of the Earth's climate, from its annual mean to the frequency of extremes such as heat waves and droughts. Here we report that the current generation of climate models predicts a delay in…

Atmospheric and Oceanic Physics · Physics 2009-07-17 Michela Biasutti , Adam H. Sobel

Tropical cyclones (TCs), including hurricanes and typhoons, cause significant property damage and result in fatalities, making it crucial to understand the factors driving extreme TCs. The El Nino Southern Oscillation (ENSO) influences TC…

Atmospheric and Oceanic Physics · Physics 2024-10-10 Suchit Basineni

Teleconnections between the tropical and the extratropical climates are often considered as a potential source of long-term predictability at seasonal to decadal time scales in the extratropics. This claim is taken up in the present work by…

Atmospheric and Oceanic Physics · Physics 2023-10-17 Stephane Vannitsem

The fundamental interaction between tropical cyclones was investigated through a series of water tank experiements by Fujiwhara [20, 21, 22]. However, a complete understanding of tropical cyclones remains an open research challenge although…

Fluid Dynamics · Physics 2016-08-24 Raymond P Walsh , Jahrul M Alam

Global warming due to the increasing concentration of greenhouse gases has become a great concern and has been linked to increased hurricane activity associated with higher sea surface temperatures with conflicting views. Our observational…

Atmospheric and Oceanic Physics · Physics 2016-09-08 Menas Kafatos , Ritesh Gautam , Guido Cervone , Zafer Boybeyi , Donglian Sun

Tropical cyclones are known to expand to an equilibrium size on the $f$-plane, but the expansion process is not understood. In this study, an analytical model for tropical cyclone size expansion on the $f$-plane is proposed. Conceptually,…

Atmospheric and Oceanic Physics · Physics 2023-10-23 Danyang Wang , Dan Chavas

Cyclone rapid intensification is the rapid increase in cyclone wind intensity, exceeding a threshold of 30 knots, within 24 hours. Rapid intensification is considered an extreme event during a cyclone, and its occurrence is relatively rare,…

Machine Learning · Computer Science 2025-06-11 Vamshika Sutar , Amandeep Singh , Rohitash Chandra

The prediction of the intensity, location and time of the landfall of a tropical cyclone well advance in time and with high accuracy can reduce human and material loss immensely. In this article, we develop a Long Short-Term memory based…

Machine Learning · Computer Science 2021-03-31 Sandeep Kumar , Koushik Biswas , Ashish Kumar Pandey

Mid-Tropospheric Cyclones (MTCs) are moist synoptic systems with distinct mid tropospheric vorticity maxima and weak signatures in the lower troposphere. Composites and statistics of MTCs over the tropics are constructed and compared with…

Atmospheric and Oceanic Physics · Physics 2021-08-25 Pradeep Kushwaha , Jai Sukhatme , Ravi S. Nanjundiah

We prove moderate deviations bounds for the lower tail of the number of odd cycles in a $\calG(n, m)$ random graph. We show that the probability of decreasing triangle density by $t^3$, is $\exp(-\Theta(n^2 t^2))$ whenever $n^{-3/4} \ll t^3…

Probability · Mathematics 2022-01-07 Joe Neeman , Charles Radin , Lorenzo Sadun

The risk of extreme storm tides to Bangladesh's low-lying and densely populated coastal regions, already vulnerable to tropical cyclones, remains poorly quantified under a warming climate. Here, using a statistical-physical downscaling…

Atmospheric and Oceanic Physics · Physics 2025-01-06 Jiangchao Qiu , Sai Ravela , Kerry Emanuel

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

Improving statistical forecasts of tropical cyclone (TC) intensity is limited by complex nonlinear interactions and difficulty in identifying relevant predictors. Conventional methods prioritize correlation or fit, often overlooking…

Given the destructive impacts of tropical cyclones, it is critical to have a reliable system for cyclone intensity detection. Various techniques are available for this purpose, each with differing levels of accuracy. In this paper, we…

Machine Learning · Computer Science 2024-12-10 Vikas Dwivedi