Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Eric A. Hendricks"'
Autor:
Xiaomin Chen, Christopher M. Rozoff, Robert F. Rogers, Kristen L. Corbosiero, Dandan Tao, Jian-Feng Gu, Falko Judt, Eric A. Hendricks, Yuqing Wang, Michael M. Bell, Daniel P. Stern, Kate D. Musgrave, John A. Knaff, John Kaplan
Publikováno v:
Tropical Cyclone Research and Review, Vol 12, Iss 1, Pp 10-29 (2023)
This contribution summarizes the significant progress in a variety of topic areas related to internal tropical cyclone (TC) intensity change processes over 2018–2022 from the WMO Tenth International Workshop on Tropical Cyclones (IWTC-10). These to
Externí odkaz:
https://doaj.org/article/a8165ee6561b4e198c69867f4546537c
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/1d3a6cc59d474a49a7da473c73cebfae
Publikováno v:
Tropical Cyclone Research and Review, Vol 8, Iss 4, Pp 219-225 (2019)
This contribution summarizes key research advances on tropical cyclone (TC) intensity change from 2014-2018 from the Ninth International Workshop on Tropical Cyclones (IWTC-9). Research advances on intensity change have occurred on many fronts, inclu
Externí odkaz:
https://doaj.org/article/9cddbcde669944c59c64a32d5017a187
Autor:
Eric A. Hendricks, Jason C. Knievel
Publikováno v:
Atmosphere, Vol 13, Iss 10, p 1548 (2022)
Urban canopy models (UCMs) in mesoscale numerical weather prediction models need evaluation to understand biases in urban environments under a range of conditions. The authors evaluate a new drag formula in the Weather Research and Forecasting (WRF)
Externí odkaz:
https://doaj.org/article/f590cb5b34ba44438274c995ab128948
Publikováno v:
Atmosphere, Vol 12, Iss 10, p 1308 (2021)
A minimal modeling system for understanding tropical cyclone intensity and wind structure changes is introduced: Shallow Water Axisymmetric Model for Intensity (SWAMI). The forced, balanced, axisymmetric shallow water equations are reduced to a canon
Externí odkaz:
https://doaj.org/article/ddec911ba2f64ef9b88eb226f8f7a7a5
Autor:
James D. Doyle, Richard M. Hodur, Sue Chen, Yi Jin, Jonathan R. Moskaitis, Shouping Wang, Eric A. Hendricks, Hao Jin, Travis A. Smith
Publikováno v:
Oceanography, Vol 27, Iss 3, Pp 104-115 (2014)
A new version of the Coupled Ocean/Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS®-TC) has been developed for prediction of tropical cyclone track, structure, and intensity. The COAMPS-TC has been tested in real time in both un
Externí odkaz:
https://doaj.org/article/a7a9f163352c4c40942af47f956ae6a8
Autor:
Eric A. Hendricks
Publikováno v:
Tropical Cyclone Research and Review, Vol 1, Iss 1, Pp 97-105 (2012)
ABSTRACT: The current understanding of internal dynamical processes responsible for tropical cyclone intensity variability is reviewed. These internal dynamic processes are small in horizontal scale and are constrained to characteristics of the vorte
Externí odkaz:
https://doaj.org/article/172580716d3243d6b4a19bf555039b14
Autor:
Eric A. Hendricks, Jonathan R. Moskaitis, Yi Jin, Richard M. Hodur, James D. Doyle, Melinda S. Peng
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 22, Iss 6, p 579 (2011)
Numerical simulations of Typhoon Morakot (2009) were performed using the Naval Research Laboratory¡¦s Coupled Ocean/Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC). COAMPS-TC was run in real-time in 2009 in the western Nort
Externí odkaz:
https://doaj.org/article/be7ba0e4d5db4702a2ed18f032b31b48
Publikováno v:
Journal of the Atmospheric Sciences. 78:4103-4126
Secondary eyewall formation and the ensuing eyewall replacement cycles may take place in mature tropical cyclones (TCs) during part of their lifetime. A better understanding of the underlying dynamics is beneficial to improving the prediction of TC i
Publikováno v:
Journal of the Atmospheric Sciences. 78:1411-1428
Intense tropical cyclones (TCs) often experience secondary eyewall formations and the ensuing eyewall replacement cycles. Better understanding of the underlying dynamics is crucial to make improvements to the TC intensity and structure forecasting. R