scholarly journals Dataset of outer tropical cyclone size from a radial wind profile

Data in Brief ◽  
2022 ◽  
pp. 107825
Author(s):  
Albenis Pérez-Alarcón ◽  
Rogert Sorí ◽  
José C. Fernández-Alvarez ◽  
Raquel Nieto ◽  
Luis Gimeno
Keyword(s):  
Tropical Cyclone ◽  
Wind Profile

Wind profile observations in tropical cyclone events using wind-profilers and doppler SODARs

2013 ◽  
Vol 115 ◽  
pp. 93-103 ◽  
Author(s):  
K.T. Tse ◽  
S.W. Li ◽  
P.W. Chan ◽  
H.Y. Mok ◽  
A.U. Weerasuriya
Keyword(s):  
Tropical Cyclone ◽  
Wind Profile ◽  
Wind Profilers

scholarly journals Reply to “Comments on ‘Revisiting the Relationship between Eyewall Contraction and Intensification’”

2017 ◽  
Vol 74 (12) ◽  
pp. 4275-4286 ◽  
Author(s):  
Daniel P. Stern ◽  
Jonathan L. Vigh ◽  
David S. Nolan ◽  
Fuqing Zhang
Keyword(s):  
Tropical Cyclone ◽  
Wind Profile ◽  
Radial Gradient ◽  
Maximum Wind ◽  
Tangential Wind ◽  
The Relationship

Abstract In their comment, Kieu and Zhang critique the recent study of Stern et al. that examined the contraction of the radius of maximum wind (RMW) and its relationship to tropical cyclone intensification. Stern et al. derived a diagnostic expression for the rate of contraction and used this to show that while RMW contraction begins and accelerates as a result of an increasing negative radial gradient of tangential wind tendency inward of the RMW, contraction slows down and eventually ceases as a result of the increasing sharpness of the wind profile around the RMW during intensification. Kieu and Zhang claim that this kinematic framework does not yield useful understanding, that Stern et al. are mistaken in their favorable comparison of this framework to earlier work by Willoughby et al., and that Stern et al. are mistaken in their conclusion that an equation for the contraction of the RMW derived by Kieu is erroneous. This reply demonstrates that each of these claims by Kieu and Zhang is incorrect.

scholarly journals A New Parametric Tropical Cyclone Tangential Wind Profile Model

2013 ◽  
Vol 141 (6) ◽  
pp. 1884-1909 ◽  
Author(s):  
Vincent T. Wood ◽  
Luther W. White ◽  
Hugh E. Willoughby ◽  
David P. Jorgensen
Keyword(s):  
Tropical Cyclone ◽  
Wind Profile ◽  
Tangential Velocity ◽  
Pressure Rise ◽  
Central Pressure ◽  
Velocity Parameter ◽  
Profile Model ◽  
Tangential Wind ◽  
Multiple Maxima ◽  
Wind Profiles

Abstract A new parametric tropical cyclone (TC) wind profile model is presented for depicting representative surface pressure profiles corresponding to multiple-maxima wind profiles that exhibit single-, dual-, and triple-maximum concentric-eyewall wind peaks associated with the primary (inner), secondary (first outer), and tertiary (second outer) complete rings of enhanced radar reflectivity. One profile employs five key parameters: tangential velocity maximum, radius of the maximum, and three different shape velocity parameters related to the shape of the profile. After tailoring the model for TC applications, a gradient wind is computed from a cyclostrophic wind formulated in terms of the cyclostrophic Rossby number. A pressure, via cyclostrophic balance, was partitioned into separate pressure components that corresponded to multiple-maxima cyclostrophic wind profiles in order to quantitatively evaluate the significant fluctuations in central pressure deficits. The model TC intensity in terms of varying growth, size, and decay velocity profiles was analyzed in relation to changing each of five key parameters. Analytical results show that the first shape velocity parameter, changing a sharply to broadly peaked wind profile, increases the TC intensity and size by producing the corresponding central pressure fall. An increase (decrease) in the second (third) shape velocity parameter yields the pressure rise (fall) by decreasing (increasing) the inner (outer) wind profile inside (outside) the radius of the maximum. When a single-maximum tangential wind profile evolves to multiple-maxima tangential wind profiles during an eye replacement cycle, the pressure falls and rises are sensitively fluctuated.

scholarly journals Simple Diagnosis of Tropical Cyclone Structure via Pressure Gradients

2011 ◽  
Vol 26 (6) ◽  
pp. 1020-1031 ◽  
Author(s):  
John A. Knaff ◽  
Charles R. Sampson ◽  
Patrick J. Fitzpatrick ◽  
Yi Jin ◽  
Christopher M. Hill
Keyword(s):  
Tropical Cyclone ◽  
Wind Profile ◽  
Pressure Gradients ◽  
Limited Information ◽  
Relative Simplicity ◽  
Practical Applications ◽  
Tangential Wind ◽  
Operational Models ◽  
Limited Surface ◽  
Tc Model

Abstract In 1980 the Holland tropical cyclone (TC) wind profile model was introduced. This simple model was originally intended to estimate the wind profile based on limited surface pressure information alone. For this reason and its relative simplicity, the model has been used in many practical applications. In this paper the potential of a simplified version of the Holland B parameter, which is related to the shape of the tangential wind profile, is explored as a powerful diagnostic tool for monitoring TC structure. The implementation examined is based on the limited information (maximum wind, central pressure, radius and pressure of the outer closed isobar, radii of operationally important wind radii, etc.) that is typically available in operational models and routine analyses of TC structure. This “simplified Holland B” parameter is shown to be sensitive to TC intensity, TC size, and the rate of radial decay of the tangential winds, but relatively insensitive to the radius of maximum winds. A climatology of the simplified Holland B parameter based on historical best-track data is also developed and presented, providing the expected natural ranges of variability. The relative simplicity, predictable variability, and desirable properties of the simplified Holland B parameter make it ideal for a variety of applications. Examples of how the simplified Holland B parameter can be used for improving forecaster guidance, developing TC structure tools, diagnosing TC model output, and understanding and comparing the climatological variations of TC structure are presented.

scholarly journals Estimates of tropical cyclone geometry parameters based on best track data

2019 ◽  
Author(s):  
Kees Nederhoff ◽  
Alessio Giardino ◽  
Maarten van Ormondt ◽  
Deepak Vatvani
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Wind Profile ◽  
Wind Fields ◽  
Engineering Applications ◽  
Wind Speeds ◽  
Pressure Fields ◽  
Ne Pacific ◽  
Wind Profiles

Abstract. Parametric wind profiles are commonly applied in a number of engineering applications for the generation of tropical cyclone (TC) wind and pressure fields. Nevertheless, existing formulations for computing wind fields often lack the required accuracy when the TC geometry is not known. This may affect the accuracy of the computed impacts generated by these winds. In this paper, empirical stochastic relationships are derived to describe two important parameters affecting the TC geometry: radius of maximum winds (RMW) and the radius of gale force winds (∆AR35). These relationships are formulated using best track data (BTD) for all seven ocean basins (Atlantic, S/NW/NE Pacific, N/SW/SE Indian Oceans). This makes it possible to a) estimate RMW and ∆AR35 when these properties are not known and b) generate improved parametric wind fields for all oceanic basins. Validation results show how the proposed relationships allow the TC geometry to be represented with higher accuracy than when using relationships available from the literature. Outer wind speeds can be well reproduced by the commonly used Holland wind profile when calibrated using information either from best-track-data or from the proposed relationships. The scripts to compute the TC geometry and the outer wind speed are freely available via Delft Dashboard.

scholarly journals Estimates of tropical cyclone geometry parameters based on best-track data

2019 ◽  
Vol 19 (11) ◽  
pp. 2359-2370 ◽  
Author(s):  
Kees Nederhoff ◽  
Alessio Giardino ◽  
Maarten van Ormondt ◽  
Deepak Vatvani
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Wind Profile ◽  
Wind Fields ◽  
Engineering Applications ◽  
Wind Speeds ◽  
Pressure Fields ◽  
Ne Pacific ◽  
Wind Profiles

Abstract. Parametric wind profiles are commonly applied in a number of engineering applications for the generation of tropical cyclone (TC) wind and pressure fields. Nevertheless, existing formulations for computing wind fields often lack the required accuracy when the TC geometry is not known. This may affect the accuracy of the computed impacts generated by these winds. In this paper, empirical stochastic relationships are derived to describe two important parameters affecting the TC geometry: radius of maximum winds (RMW) and the radius of gale-force winds (ΔAR35). These relationships are formulated using best-track data (BTD) for all seven ocean basins (Atlantic; S, NW, and NE Pacific; and N, SW, and SE Indian oceans). This makes it possible to (a) estimate RMW and ΔAR35 when these properties are not known and (b) generate improved parametric wind fields for all oceanic basins. Validation results show how the proposed relationships allow the TC geometry to be represented with higher accuracy than when using relationships available from literature. Outer wind speeds can be reproduced well by the commonly used Holland wind profile when calibrated using information either from best-track data or from the proposed relationships. The scripts to compute the TC geometry and the outer wind speed are freely available via the following URL: https://bit.ly/2k9py1J (last access: October 2019).

scholarly journals Assimilation of Tropical Cyclone Track and Structure Based on the Ensemble Kalman Filter (EnKF)

2010 ◽  
Vol 67 (12) ◽  
pp. 3806-3822 ◽  
Author(s):  
Chun-Chieh Wu ◽  
Guo-Yuan Lien ◽  
Jan-Huey Chen ◽  
Fuqing Zhang
Keyword(s):  
Kalman Filter ◽  
High Resolution ◽  
Tropical Cyclone ◽  
Ensemble Kalman Filter ◽  
Wind Profile ◽  
Surface Wind ◽  
Wrf Model ◽  
Wind Structure ◽  
Two Parameters ◽  
Satellite Analysis

Abstract A new tropical cyclone vortex initialization method based on the ensemble Kalman filter (EnKF) is proposed in this study. Three observed parameters that are related to the tropical cyclone (TC) track and structure—center position, velocity of storm motion, and surface axisymmetric wind structure—are assimilated into the high-resolution Weather Research and Forecasting (WRF) model during a 24-h initialization period to develop a dynamically balanced TC vortex without employing any extra bogus schemes. The first two parameters are available from the TC track data of operational centers, which are mainly based on satellite analysis. The radial wind profile is constructed by fitting the combined information from both the best-track and the dropwindsonde data available from aircraft surveillance observations, such as the Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR). The initialized vortex structure is consistent with the observations of a typical vertical TC structure, even though only the surface wind profile is assimilated. In addition, the subsequent numerical integration shows minor adjustments during early periods, indicating that the analysis fields obtained from this method are dynamically balanced. Such a feature is important for TC numerical integrations. The results here suggest that this new method promises an improved TC initialization and could possibly contribute to some high-resolution numerical experiments to better understand the dynamics of TC structure and to improve operational TC model forecasts. Further applications of this method with sophisticated data from The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) will be shown in a follow-up paper.

Sign in / Sign up

Export Citation Format

Share Document