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David R. Ryglicki, James D. Doyle, Daniel Hodyss, Joshua H. Cossuth, Yi Jin, Kevin C. Viner, and Jerome M. Schmidt

to an operational forecast. For demonstration, we choose a high-impact atypical RI TC that was not part of the original six from Part I but nevertheless underwent RI in moderate vertical wind shear: 2016 northern Atlantic (NATL) Matthew ( Stewart 2017 ). For this analysis, we use SHIPS and CIMSS shear analyses, GOES-13 WV observations, CIMSS AMVs, and 0.5° GFS analyses. We use the GFS analyses here in an attempt to simulate operational conditions more closely. The decomposition of the GFS

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Jie Feng and Xuguang Wang

operational forecasts initialized using state-of-the-art hurricane analysis/prediction systems to assimilate the novel TC observations often fail to capture the TC rapid intensification (RI) process and the maximum intensity, particularly for strong hurricanes. For example, for the record-breaking intense (category 5) and extraordinarily small Hurricane Patricia in 2015, none of the main operational dynamical and statistical–dynamical models even predicted a maximum intensity forecast above category 2

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David R. Ryglicki, Daniel Hodyss, and Gregory Rainwater

.1063/1.868929 Courtney , J. B. , and Coauthors , 2019 : Operational perspectives on tropical cyclone intensity change. Part II: Forecasts by operational agencies . Trop. Cyclone Res. Rev. , 8 , 226 – 239 , . 10.1016/j.tcrr.2020.01.003 Darrigol , O. , and U. Frisch , 2008 : From Newton’s mechanics to Euler’s equations . Physica D , 237 , 1855 – 1869 , . 10.1016/j.physd.2007.08.003 DeMaria , M. , M. Mainelli

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Zongsheng Zheng, Chenyu Hu, Zhaorong Liu, Jianbo Hao, Qian Hou, and Xiaoyi Jiang

such meteorological disasters. Currently, typhoon detection, monitoring, and forecasting still remain a challenging task. Over the past a few decades, meteorological information about TCs has been extensively conducted with the utilization of various instruments such as aircrafts, dropsondes, and Doppler radar wind profilers ( Powell 1980 ; Weatherford and Gray 1988 ; Aberson et al. 2006 ; Giammanco et al. 2012 ; Xie et al. 2013 ). The predicted weather condition of a TC was calculated using

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Yi Dai, Sharanya J. Majumdar, and David S. Nolan

understanding the TC resistance to strong environmental shear. By introducing the TCSD, we hope that the outflow can be not only a useful diagnostic to infer the upper-level outflow, but also a nice tool that can be used scientifically and operationally for better understanding and forecasting of TC intensity and structure change. This paper is organized as follows: Section 2 describes the idealized modeling framework and definitions of shear. The main results of the idealized simulations are presented in

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T. Ghosh and T. N. Krishnamurti

1. Introduction Consensus forecasts for meteorological events were operationally used in the pioneering studies of Toth and Kalnay (1993 1997 ), Molteni et al. (1996) , Houtekamer et al. (1996) , and Goerss (2000) . Krishnamurti et al. (1999) introduced the notion of a multimodel superensemble (MMSE) to combine multimodel forecast datasets using a linear multiple regression approach that utilized the mean-square error reduction principle. Studies reported on the efficiency of this

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Shixuan Zhang, Zhaoxia Pu, and Christopher Velden

, 2005 ) derived from geostationary satellites, have supplied useful information for improving hurricane forecasting. Previous studies have demonstrated that assimilating these AMVs into NWP models can result in improved analyses and forecasts of TCs and their environment. Langland et al. (2009) and Berger et al. (2011) found that track forecasts in the Navy Operational Global Atmospheric Prediction System (NOGAPS) were improved, owing to the more accurate representation of the environmental flow

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Robert G. Nystrom and Fuqing Zhang

years ( Cangialosi 2018 ), Hurricane Patricia set records for maximum eastern North Pacific NHC official intensity forecast errors at 12, 24, 36, and 48 h lead times ( Kimberlain et al. 2016 ). Additionally, no operationally available dynamical or statistical guidance was able to correctly forecast the peak intensity or rate of intensification. In this study, we demonstrate methods for improved prediction of Hurricane Patricia using a cycling ensemble data assimilation system and also examine

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Nannan Qin and Da-Lin Zhang

operational forecasts of Hurricane Patricia.] Another two experiments deal with the use of different vertical resolutions: a coarser one and a finer one of 41 and 73 vertical levels, which are referred to as V41 and V73, respectively. Figures 9a and 9b show that despite their different resolutions, V41 and V73 share the same Ω vertical distribution as that in CTL, with higher resolutions in both the lower and upper levels, but relatively coarse resolutions in the midtroposphere. For fair comparisons

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Xu Lu and Xuguang Wang

speed (Vmax), and minimum sea level pressure (MSLP)] ( Thu and Krishnamurti 1992 ; Kurihara et al. 1995 , 1998 , Liu et al. 2000 , 2006 ; Pu and Braun 2001 ; Tallapragada et al. 2014 ). In the National Oceanic and Atmospheric Administration (NOAA) operational Hurricane Weather Research and Forecasting system (HWRF), vortex initialization (VI) contains two components: vortex relocation (VR) and vortex modification (VM), where VR corrects the storm location and VM modifies the storm intensity

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