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Related papers: Genuine Increases in Tropical Cyclone Intensities

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This paper explores the features of cyclonic disturbances (CDs) in the North Indian Ocean (NIO) by utilizing data from 1990 to 2022. It investigates the occurrence rate of these disturbances and their effects on human and economic losses…

Atmospheric and Oceanic Physics · Physics 2024-10-10 Monu Yadav , Laxminarayan Das

Studies on Sun-climate connection have been carried out for several decades, and almost all of them focused on the effects of solar total irradiation energy. As the second major terrestrial energy source from outer space, the solar wind…

Space Physics · Physics 2017-09-19 Hui Li , Chi Wang , Shengping He , Huijun Wang , Cui Tu , Jiyao Xu , Fei Li , Xiaocheng Guo

Sixteen years of meteor radar data from the Canadian Meteor Orbit Radar (CMOR) were used to investigate the link between observed meteor rates and both solar and geomagnetic activity. Meteor rates were corrected for transmitter power and…

Earth and Planetary Astrophysics · Physics 2019-03-20 Margaret D. Campbell-Brown

Convolutional neural networks (CNN) have achieved great success in analyzing tropical cyclones (TC) with satellite images in several tasks, such as TC intensity estimation. In contrast, TC structure, which is conventionally described by a…

Computer Vision and Pattern Recognition · Computer Science 2020-10-30 Boyo Chen , Buo-Fu Chen , Chun-Min Hsiao

Complex CME/ICME structures in the solar wind often arising in the heliosphere as a result of interaction between two or more CMEs are very important due to their enhanced geoefficiency, but their modeling is difficult due to lack of…

Solar and Stellar Astrophysics · Physics 2025-01-14 Denis Rodkin , Vladislav Lukmanov , Vladimir Slemzin , Igor Chashei

Coronal mass ejections (CMEs) and Stream Interaction Regions (SIRs) are the main drivers of intense geomagnetic storms. We study the distribution of geomagnetic storms associated with different drivers during solar cycles 23 and 24…

Solar and Stellar Astrophysics · Physics 2024-04-16 Wageesh Mishra , Preity Sukla Sahani , Soumyaranjan Khuntia , Dibyendu Chakrabarty

Santer et al (2008) (S08) compared climate models and observations in the tropical troposphere and reported that "there is no longer a serious discrepancy between modeled and observed trends in tropical lapse rates." They found no…

Applications · Statistics 2009-08-18 Stephen McIntyre , Ross McKitrick

The Texan electric network in the Gulf Coast of the United States is frequently hit by Tropical Cyclones (TC) causing widespread power outages, a risk that is expected to substantially increase under global warming. Here, we introduce a new…

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

We examine Saturn's atmosphere with observations from ground-based telescopes and Hubble Space Telescope (HST). We present a detailed analysis of observations acquired during 2018. A system of polar storms that appeared in the planet in…

Natural distribution shift causes a deterioration in the perception performance of convolutional neural networks (CNNs). This comprehensive analysis for real-world traffic data addresses: 1) investigating the effect of natural distribution…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Fabian Diet , Moussa Kassem Sbeyti , Michelle Karg

Increases in atmospheric CO2 and CH4 result from a combination of forcing from anthropogenic emissions and Earth System feedbacks that reduce or amplify the effects of those emissions on atmospheric concentrations. Despite decades of…

Tropical cyclone (TC) forecasting is crucial for disaster preparedness and mitigation. While recent deep learning approaches have shown promise, existing methods often treat TC evolution as a series of independent frame-to-frame…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Zhibo Ren , Pritthijit Nath , Pancham Shukla

The problem where a tropical cyclone intensifies dramatically within a short period of time is known as rapid intensification. This has been one of the major challenges for tropical weather forecasting. Recurrent neural networks have been…

Machine Learning · Computer Science 2017-02-12 Rohitash Chandra

Extratropical storms shape midlatitude weather and vary due to the slowly evolving climate and the rapid changes in synoptic conditions. While the influence of each factor has been studied extensively, their relative importance remains…

Atmospheric and Oceanic Physics · Physics 2025-06-17 Or Hadas , Yohai Kaspi

It is shown that condensation and precipitation do not disturb the hydrostatic equilibrium if the local pressure sink (condensation rate expressed in pressure units) is proportional to the local pressure, with a proportionality coefficient…

Atmospheric and Oceanic Physics · Physics 2026-01-29 Anastassia M. Makarieva , Andrei V. Nefiodov

Observations of energetic electrons (10 - 300 keV) by NOAA/POES and DMSP satellites at heights <1000 km during the period from 1999 to 2010 allowed finding abnormal intense fluxes of ~10^6 - 10^7 cm-2 s-1 sr-1 for quasi-trapped electrons…

Extreme precipitation shows non-stationary behavior over time, but also with respect to other large-scale variables. While this effect is often neglected, we propose a model including the influence of North Atlantic Oscillation, time,…

Atmospheric and Oceanic Physics · Physics 2022-11-09 Felix S. Fauer , Henning W. Rust

The progress article - Widening of the tropical belt in a changing climate - by Seidel et al. (2008) published in the first issue of Nature Geosciences, summarizes the results of several methods to determine the width of the tropical zone.…

Space Physics · Physics 2008-03-14 Katya Georgieva , Boian Kirov

The Large High Altitude Air Shower Observatory (LHAASO) has three sub-arrays, KM2A, WCDA and WFCTA. The flux variations of cosmic ray air showers were studied by analyzing the KM2A data during the thunderstorm on 10 June 2021. The number of…

High Energy Astrophysical Phenomena · Physics 2022-12-07 LHAASO Collaboration , F. Aharonian , Q. An , Axikegu , L. X. Bai , Y. X. Bai , Y. W. Bao , D. Bastieri , X. J. Bi , Y. J. Bi , J. T. Cai , Zhe Cao , Zhen Cao , J. Chang , J. F. Chang , E. S. Chen , Liang Chen , Liang Chen , Long Chen , M. J. Chen , M. L. Chen , S. H. Chen , S. Z. Chen , T. L. Chen , X. J. Chen , Y. Chen , H. L. Cheng , N. Cheng , Y. D. Cheng , S. W. Cui , X. H. Cui , Y. D. Cui , B. Z. Dai , H. L. Dai , Z. G. Dai , Danzengluobu , D. della Volpe , K. K. Duan , J. H. Fan , Y. Z. Fan , Z. X. Fan , J. Fang , K. Fang , C. F. Feng , L. Feng , S. H. Feng , X. T. Feng , Y. L. Feng , B. Gao , C. D. Gao , L. Q. Gao , Q. Gao , W. Gao , W. K. Gao , M. M. Ge , L. S. Geng , G. H. Gong , Q. B. Gou , M. H. Gu , F. L. Gu , J. G. Guo , X. L. Guo , Y. Q. Guo , Y. Y. Guo , Y. A. Han , H. H. He , H. N. He , S. L. He , X. B. He , Y. He , M. Heller , Y. K. Hor , C. Hou , X. Hou , H. B. Hu , Q. Hu , S. Hu , S. C. Hu , X. J. Hu , D. H. Huang , W. H. Huang , X. T. Huang , X. Y. Huang , Y. Huang , Z. C. Huang , X. L. Ji , H. Y. Jia , K. Jia , K. Jiang , Z. J. Jiang , M. Jin , M. M. Kang , T. Ke , D. Kuleshov , B. B. Li , Cheng Li , Cong Li , F. Li , H. B. Li , H. C. Li , H. Y. Li , J. Li , Jian Li , Jie Li , K. Li , W. L. Li , X. R. Li , Xin Li , Xin Li , Y. Z. Li , Zhe Li , Zhuo Li , E. W. Liang , Y. F. Liang , S. J. Lin , B. Liu , C. Liu , D. Liu , H. Liu , H. D. Liu , J. Liu , J. L. Liu , J. S. Liu , J. Y. Liu , M. Y. Liu , R. Y. Liu , S. M. Liu , W. Liu , Y. Liu , Y. N. Liu , W. J. Long , R. Lu , Q. Luo , H. K. Lv , B. Q. Ma , L. L. Ma , X. H. Ma , J. R. Mao , A. Masood , Z. Min , W. Mitthumsiri , Y. C. Nan , Z. W. Ou , B. Y. Pang , P. Pattarakijwanich , Z. Y. Pei , M. Y. Qi , Y. Q. Qi , B. Q. Qiao , J. J. Qin , D. Ruffolo , A. Sáiz , C. Y. Shao , L. Shao , O. Shchegolev , X. D. Sheng , J. Y. Shi , H. C. Song , Yu. V. Stenkin , V. Stepanov , Y. Su , Q. N. Sun , X. N. Sun , Z. B. Sun , P. H. T. Tam , Z. B. Tang , W. W. Tian , B. D. Wang , C. Wang , H. Wang , H. G. Wang , J. C. Wang , J. S. Wang , L. P. Wang , L. Y. Wang , R. Wang , R. N. Wang , W. Wang , X. G. Wang , X. Y. Wang , Y. Wang , Y. D. Wang , Y. J. Wang , Y. P. Wang , Z. H. Wang. Z. X. Wang , Zhen Wang , Zheng Wang , D. M. Wei , J. J. Wei , Y. J. Wei , T. Wen , C. Y. Wu , H. R. Wu , S. Wu , X. F. Wu , Y. S. W , S. Q. Xi , J. Xia , J. J. Xia , G. M. Xiang , D. X. Xiao , G. Xiao , G. G. Xin , Y. L. Xin , Y. Xing , Z. Xiong , D. L. Xu , R. X. Xu , L. Xue , D. H. Yan , J. Z. Yan , C. W. Yang , F. F. Yang , H. W. Yang , J. Y. Yang , L. L. Yang , M. J. Yang , R. Z. Yang , S. B. Yang , Y. H. Yao , Z. G. Yao , Y. M. Ye , L. Q. Yin , N. Yin , X. H. You , Z. Y. You , Y. H. Yu , Q. Yuan , H. Yue , H. D. Zeng , T. X. Zeng , W. Zeng , Z. K. Zeng , M. Zha , X. X. Zhai , B. B. Zhang , F. Zhang , H. M. Zhang , H. Y. Zhang , J. L. Zhang , L. X. Zhang , Li Zhang , Lu Zhang , P. F. Zhang , P. P. Zhang , R. Zhang , S. B. Zhang , S. R. Zhang , S. S. Zhang , X. Zhang , X. P. Zhang , Y. F. Zhang , Y. L. Zhang , Yi Zhang , Yong Zhang , B. Zhao , J. Zhao , L. Zhao , L. Z. Zhao , S. P. Zhao , F. Zheng , Y. Zheng , B. Zhou , H. Zhou , J. N. Zhou , P. Zhou , R. Zhou , X. X. Zhou , C. G. Zhu , F. R. Zhu , H. Zhu , K. J. Zhu , X. Zuo