Mapping Tropical Cyclone Wind Risk of the World

2015 ◽  
pp. 151-166
Author(s):  
Weihua Fang ◽  
Chenyan Tan ◽  
Wei Lin ◽  
Xiaoning Wu ◽  
Yanting Ye ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
The World

scholarly journals Quantifying Interagency Differences in Tropical Cyclone Best-Track Wind Speed Estimates

2010 ◽  
Vol 138 (4) ◽  
pp. 1459-1473 ◽  
Author(s):  
Kenneth R. Knapp ◽  
Michael C. Kruk
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Tropical Cyclone ◽  
Temporal Changes ◽  
Data Availability ◽  
Spatially Inhomogeneous ◽  
The World ◽  
Using Data ◽  
Over Time

Abstract Numerous agencies around the world perform postseason analysis of tropical cyclone position and intensity, a process described as “best tracking.” However, this process is temporally and spatially inhomogeneous because data availability, operational techniques, and knowledge have changed over time and differ among agencies. The net result is that positions and intensities often vary for any given storm for different agencies. In light of these differences, it is imperative to analyze and document the interagency differences in tropical cyclone intensities. To that end, maximum sustained winds from different agencies were compared using data from the International Best Track Archive for Climate Stewardship (IBTrACS) global tropical cyclone dataset. Comparisons were made for a recent 5-yr period to investigate the current differences, where linear systematic differences were evident. Time series of the comparisons also showed temporal changes in the systematic differences, which suggest changes in operational procedures. Initial attempts were made to normalize maximum sustained winds by correcting for known changes in operational procedures. The result was mixed, in that the adjustments removed some but not all of the systematic differences. This suggests that more details on operational procedures are needed and that a complete reanalysis of tropical cyclone intensities should be performed.

AN AUTOMATIC SATELLITE INTERPRETATION OF TROPICAL CYCLONE PATTERNS USING ELASTIC GRAPH DYNAMIC LINK MODEL

1999 ◽  
Vol 13 (08) ◽  
pp. 1251-1270 ◽  
Author(s):  
RAYMOND S. T. LEE ◽  
JAMES N. K. LIU
Keyword(s):  
Tropical Cyclone ◽  
Tropical Cyclones ◽  
Active Contour Model ◽  
Weather Patterns ◽  
The World ◽  
Interpretation Process ◽  
Link Model ◽  
Matching Techniques ◽  
Dynamic Link

In the past decades, satellite interpretation was one of the vital methods for the determination of weather patterns all over the world, especially for the identification of severe weather patterns such as tropical cyclones (TC). The method is based on Dvorak Technique8 which provides a means of the identification of the cyclone and its intensity. This is a kind of pattern-matching techniques and is based on some well-known TC templates for reference. Due to the high variation and complexity of cloud activities for the tropical cyclone patterns, meteorological analysts all over the world so far are still relying on subjective human justification for TC identification purposes. In this paper, an Elastic Graph Dynamic Link Model (EGDLM) is proposed to automate the satellite interpretation process and provides an objective analysis for tropical cyclones. The method integrates Dynamic Link Architecture (DLA) for neural dynamics and Active Contour Model (ACM) for contour extraction of TC patterns. Over 120 satellite pictures provided by National Oceanic and Atmospheric Administration (NOAA) were used to evaluate the system, and 145 tropical cyclone cases that appeared in the period between 1990 to 1998 were extracted for the study. An overall correct rate for TC classification was found to be above 95%. For hurricanes with distinct "eye" formation, the model reported a deviation within 3 km from the "actual eye" location, which was obtained from the reconnaissance aircraft measurements of minimum surface pressure.

scholarly journals Comparative analysis of subjective/advanced objective technique of tropical cyclone intensity estimation

MAUSAM ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 159-164
Author(s):  
B. R. LOE ◽  
R. K. GIRI ◽  
B. L. VERMA ◽  
S. BALI ◽  
SOMA SEN ROY
Keyword(s):  
Comparative Analysis ◽  
Tropical Cyclone ◽  
Tropical Cyclones ◽  
Tropical Cyclone Intensity ◽  
Intensity Estimation ◽  
Cyclone Intensity ◽  
Subjective Judgement ◽  
The World ◽  
Computer Based ◽  
Image Pattern

lkj & m".kdfVca/kh; pØokr dh rhozrk dk vkdyu djus ds fy, lewps fo’o esa O;kogkfjd :i ls mi;ksx dh tkus okyh M~oksjd rduhd esa mixzg ls izkIr fp=ksa dk mi;ksx fd;k tkrk gSA blesa O;ofLFkr laogu ds laca/k esa fo’ys"kd }kjk fd, x, foospu lfgr dqN izk;ksfxd ekunaMksa ds vk/kkj ij mixzg ls izkIr fp= ds iSVuZ dh igpku dh tkrh gSA fofHkUu fo’ys"k.k dsUnzksa }kjk fdlh ,d pØokr dk vkdyu djus esa gksus okyh fo"k;ijd foospu laca/kh folaxfr;k¡ daI;wVj ij vk/kkfjr ,yxksfjFe ds ek/;e ls de gqbZA bl la’kksf/kr rduhd dks fodflr fo"k;ijd M~oksjd rduhd ¼,- vks- Mh- Vh-½ dgk x;k vkSj ;g iw.kZ fodflr m".k dfVca/kh; pØokrksa ds fy, mi;qDr gSA bl 'kks/k&Ik= esa o"kZ 2004 esa vk, rhu m".kdfVca/kh; pØokrksa ds laca/k esa ,- vks- Mh- Vh- ds dk;Z & fu"iknu dk ewY;kdau fd;k x;k gSA buds rqYukRed fo’ys"k.k ls ;g irk pyk fd ,- vks- Mh- Vh- rduhd M~oksjd rduhd ds vk/kkj ij fd, x, pØokr dh rhozrk ds vkdyuksa] tks m".kdfVca/kh; fo’ys"k.k dsUnzksa ds mixzg ls izkIr fp=ksa ds fo’ys"kdksa }kjk O;kogkfjd :Ik ls rS;kj fd, x,] ds  eqdkcys dh jghA  Dvorak technique operationally used all over the world for estimating the tropical cyclone intensity is based on satellite observations. It involves image pattern recognition based on certain empirical rules along with the analyst interpretation of organized convection.  The computer-based algorithm can minimize these subjective judgement discrepancies between different analysis centers estimating the same storm.  This modified version is called Advanced Objective Dvorak Technique (AODT) and which is applicable for well-developed tropical cyclones. In this paper the performance of the AODT is evaluated on three cases of the year 2004 tropical cyclones. Comparative analysis indicates the technique to be competitive with, the Dvorak-based intensity estimates produced operationally by satellite analysts from tropical analysis centers.

scholarly journals WMO’s programme on tropical cyclone

MAUSAM ◽  
2021 ◽  
Vol 48 (2) ◽  
pp. 103-112
Author(s):  
G. O. P. OBASI
Keyword(s):  
Tropical Cyclone ◽  
Tropical Cyclones ◽  
Regional Cooperation ◽  
Disaster Prevention ◽  
Significant Progress ◽  
The World ◽  
The Many ◽  
Operational Issues

ABSTRACT. The Tropical Cyclone Programmes of WMO was established to assist the many affected countries of the world in mitigating the impacts of tropical cyclones, through the development of their capabilities in monitoring, forecasting and disaster prevention and preparedness. The paper discusses the factors which have together led to significant progress in this regard. These include the organization and structure of the Programme, the systems and technologies in place, and the mechanisms for training and regional cooperation among the countries of the tropical cyclone basins. Specific tropical cyclone research and operational issues of concern are also presented.      

scholarly journals Historical Global Tropical Cyclone Landfalls*

2012 ◽  
Vol 25 (13) ◽  
pp. 4729-4735 ◽  
Author(s):  
Jessica Weinkle ◽  
Ryan Maue ◽  
Roger Pielke
Keyword(s):  
Tropical Cyclone ◽  
Scientific Literature ◽  
Strong Support ◽  
Economic Damage ◽  
Global Database ◽  
The Past ◽  
The World ◽  
Societal Changes ◽  
Major Hurricane ◽  
Storm Frequency

Abstract In recent decades, economic damage from tropical cyclones (TCs) around the world has increased dramatically. Scientific literature published to date finds that the increase in losses can be explained entirely by societal changes (such as increasing wealth, structures, population, etc.) in locations prone to tropical cyclone landfalls, rather than by changes in annual storm frequency or intensity. However, no homogenized dataset of global tropical cyclone landfalls has been created that might serve as a consistency check for such economic normalization studies. Using currently available historical TC best-track records, a global database focused on hurricane-force strength landfalls was constructed. The analysis does not indicate significant long-period global or individual basin trends in the frequency or intensity of landfalling TCs of minor or major hurricane strength. The evidence in this study provides strong support for the conclusion that increasing damage around the world during the past several decades can be explained entirely by increasing wealth in locations prone to TC landfalls, which adds confidence to the fidelity of economic normalization analyses.

A pragmatist philosophy of psychological science and its implications for replication

2018 ◽  
Vol 41 ◽  
Author(s):  
Ana Gantman ◽  
Robin Gomila ◽  
Joel E. Martinez ◽  
J. Nathan Matias ◽  
Elizabeth Levy Paluck ◽  
...  
Keyword(s):  
William James ◽  
Mental Processes ◽  
Psychological Science ◽  
Behavioral Measurement ◽  
The World ◽  
Pragmatist Philosophy

AbstractA pragmatist philosophy of psychological science offers to the direct replication debate concrete recommendations and novel benefits that are not discussed in Zwaan et al. This philosophy guides our work as field experimentalists interested in behavioral measurement. Furthermore, all psychologists can relate to its ultimate aim set out by William James: to study mental processes that provide explanations for why people behave as they do in the world.

Culture and the plasticity of perception

2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann
Keyword(s):  
Cultural Context ◽  
Sensory Experience ◽  
Cultural Learning ◽  
The World

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.

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