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Tropical Cyclone Intensity Analysis Using Satellite Data


Tropical Cyclone Intensity Analysis Using Satellite Data
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Tropical Cyclone Intensity Analysis Using Satellite Data


Tropical Cyclone Intensity Analysis Using Satellite Data
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Author : Vernon F. Dvorak
language : en
Publisher:
Release Date : 1984

Tropical Cyclone Intensity Analysis Using Satellite Data written by Vernon F. Dvorak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Cyclone forecasting categories.




Tropical Cyclone Intensity Analysis Using Satellite Data


Tropical Cyclone Intensity Analysis Using Satellite Data
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Author : Vernon F. Dvorak
language : en
Publisher:
Release Date : 1984

Tropical Cyclone Intensity Analysis Using Satellite Data written by Vernon F. Dvorak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.




Tropical Cyclone Position And Intensity Analysis Using Satellite Data


Tropical Cyclone Position And Intensity Analysis Using Satellite Data
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Author : United States. Air Weather Service. 1st Weather Wing
language : en
Publisher:
Release Date : 1974

Tropical Cyclone Position And Intensity Analysis Using Satellite Data written by United States. Air Weather Service. 1st Weather Wing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Cyclone forecasting categories.




Tropical Cyclone Intensity Analysis And Forecasting From Satellite Imagery


Tropical Cyclone Intensity Analysis And Forecasting From Satellite Imagery
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Author : Vernon F. Dvorak
language : en
Publisher:
Release Date : 1974*

Tropical Cyclone Intensity Analysis And Forecasting From Satellite Imagery written by Vernon F. Dvorak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974* with Clouds categories.




A Workbook On Tropical Clouds And Cloud Systems Observed In Satellite Imagery


A Workbook On Tropical Clouds And Cloud Systems Observed In Satellite Imagery
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Author : Vernon F. Dvorak
language : en
Publisher:
Release Date : 1990

A Workbook On Tropical Clouds And Cloud Systems Observed In Satellite Imagery written by Vernon F. Dvorak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Clouds categories.




A Spiral Analysis Technique For Monitoring And Predicting Tropical Cyclone Intensity Using Satellite Data


A Spiral Analysis Technique For Monitoring And Predicting Tropical Cyclone Intensity Using Satellite Data
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Author : Bernard John Cook
language : en
Publisher:
Release Date : 1984

A Spiral Analysis Technique For Monitoring And Predicting Tropical Cyclone Intensity Using Satellite Data written by Bernard John Cook and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Clouds categories.


A spiral analysis technique is developed which quantifies the spiral patterns of cloud bands observed in IR satellite images of tropical cyclones. The technique utilizes the Navy's SPADS (Satellite Data Processing and Display System) minicomputer for processing the digital IR data. The technique consists of best fitting spherical-logarithmic spirals to tropical cyclone spiral cloud bands and performing multiple Fourier analyses of the radiance field along spirals orthogonal to the bands. Linear regression techniques are used to establish a relationship between spiral parameters derived from the Fourier analyses and tropical cyclone intensity. Algorithms for current intensity, and 12 and 24 h forecasts are developed. Tests on an independent data set show significant skill in estimating current intensity and in making 12 h forecasts. The most important predictors selected are presistence and parameters related to the dominant spiral signal and maximum IR count of the analyzed radiance field. Biases in the forecast algorithms suggest that other parameters are necessary to more accurately predict tropical cyclone intensity. The results, however, demonstrate the usefulness of the technique as an aid to tropical cyclone forecasters.



A Satellite Based Multi Channel Approach To Tropical Cyclone Intensity Estimation Using The Amsu Passive Microwave Sensor


A Satellite Based Multi Channel Approach To Tropical Cyclone Intensity Estimation Using The Amsu Passive Microwave Sensor
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Author : Brian W. Kabat
language : en
Publisher:
Release Date : 2002

A Satellite Based Multi Channel Approach To Tropical Cyclone Intensity Estimation Using The Amsu Passive Microwave Sensor written by Brian W. Kabat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Science categories.


In tropical cyclones, a strong inverse relationship exists between the magnitude of the upper-tropospheric warm anomaly (UTWA) and minimum sea level pressure (MSLP). Uniquely poised to capture this warming aloft, the Advanced Microwave Sounding Unit (AMSU) flown aboard current National Oceanic and Atmospheric Administration (NOAA) polar-orbiting satellites is capable of observing Tropical Cyclones (TC's) worldwide. A physical/statistical MSLP estimation algorithm based on AMSU brightness temperature anomalies (dTbs) has been operating in an experimental mode at the University of Wisconsin Cooperative Institute for Meteorological Satellite Studies (UW-CIMSS) for two years. The algorithm relies on a single AMSU channel (54.9 GHz) and shows great promise as a viable TC analysis tool. However, the radiances can be susceptible to environmental variability leading to sub-sampling and errors in MSLP. The goal of this research is to improve the existing single-channel algorithm by introducing an additional channel (55.5 GHz) that seeks to capture the true magnitude of the UTWA in instances when the single channel fails. By implementing the multi-channel approach, the goal is to create an operationally viable satellite-based guidance tool to help support tropical forecast and analysis centers worldwide.



Correcting For Precipitation Effects In Satellite Based Passive Microwave Tropical Cyclone Intensity Estimates


Correcting For Precipitation Effects In Satellite Based Passive Microwave Tropical Cyclone Intensity Estimates
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Author : Robert S. Wacker
language : en
Publisher:
Release Date : 2005

Correcting For Precipitation Effects In Satellite Based Passive Microwave Tropical Cyclone Intensity Estimates written by Robert S. Wacker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Cyclones categories.


Accurate tropical cyclone (TC) intensity estimates are best achieved from satellite observations. The Advanced Microwave Sounding Unit (AMSU) has operated since 1998 on polar-orbiting environmental satellites and is able to measure the warm temperature anomaly in the upper troposphere above a TC's center. Through hydrostatic equilibrium, this warm anomaly is roughly proportional to the TC's sea-level pressure anomaly. Based on this principle, the Cooperative Institute for Meteorological Satellite Studies (CIMSS) provides near real-time AMSU-based estimates of TC minimum sea-level pressure (MSLP) to forecast centers worldwide. These estimates are as accurate as the benchmark Dvorak technique, but are subject to error caused by precipitation effects (primarily brightness temperature reduction by scattering) on the AMSU 55 GHz channels sensitive to upper-tropospheric temperature. Simulated AMSU brightness temperatures (TB's) are produced by a polarized reverse Monte Carlo radiative transfer model using representative TC precipitation profiles. Results suggest that precipitation depression of high-frequency window channel TB's is correlated with depression of sounding channel TB's and can be used to correct for scattering effects on the AMSU channels used in TC intensity estimates. Analysis of AMSU data over the tropical oceans confirms this, and forms the basis for an empirical scattering correction using AMSU 31 and 89 GHz TB's. This scattering correction reduces CIMSS TC MSLP algorithm RMS error by 10% in a 7-year, 497 observation sample.



Tropical Cyclone Origin Movement And Intensity Characteristics Based On Data Compositing Techniques


Tropical Cyclone Origin Movement And Intensity Characteristics Based On Data Compositing Techniques
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Author : W. M. Gray
language : en
Publisher:
Release Date : 1979

Tropical Cyclone Origin Movement And Intensity Characteristics Based On Data Compositing Techniques written by W. M. Gray and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Cyclone forecasting categories.


Up-to-date results of recent tropical cyclone research at Colorado State University are presented. Particular attention is paid to new findings which impact on tropical cyclone analysis and forecasting efforts. Observational studies using large amounts of composited rawinsonde, satellite, and aircraft flight data have been performed to analyze global aspects of tropical cyclone occurrences, physical processes of tropical cyclone genesis, tropical cyclone intensity change, environmental factors influencing tropical cyclone turning motion 24-36 hours before the turn takes place, tropical cyclone intensity determination from upper tropospheric reconnaissance, and the diurnal variations of vertical motion in tropical weather systems. (Author).



Using Ssm I Data And Computer Vision To Estimate Tropical Cyclone Intensity


Using Ssm I Data And Computer Vision To Estimate Tropical Cyclone Intensity
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Author :
language : en
Publisher:
Release Date : 1998

Using Ssm I Data And Computer Vision To Estimate Tropical Cyclone Intensity written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.


Satellite imagery and other remote sensing products often provide the only observational data of tropical cyclones. This is especially true in the western Pacific where aircraft reconnaissance missions stopped in 1987. Manual estimate procedures using satellite imagery (Dvorak, 1984) provide valuable assistance in determining tropical cyclone intensity. An objective Dvorak technique (Velden, et al., 1998) is currently being studied to enhance the manual method. In an effort to take advantage of the unique characteristics (Hawkins, et al., 1998) of Special Sensor Microwave/Imager (SSM/I) data, one Naval Research Laboratory effort (outside the scope of this paper) involves the computation of empirical orthogonal functions of SSM/I tropical cyclone data and presenting those values as inputs to a neural network to estimate the tropical cyclone intensity at a given imagery time (May, et al., 1997). The algorithm applied in the research described here also uses SSM/l data, specifically the 85 GHz (H-pol) channel and a derived rain rate product. The 512x512 pixel imagery is cyclone-centered and image characteristics (computer vision features) are computed from the imagery data. A subset of these -features is presented to a pattern recognition algorithm (k-nearest neighbor) and an intensity estimate is provided as output. A description of the imagery characteristics (including available data and computer vision features) and feature selection methodology is provided in section two. Section three is a discussion of the algorithm used to automate the tropical cyclone intensity estimate and the current evaluation results.