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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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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.



Satellite Based Tropical Cyclone Intensity Estimation Using Noaa Klm Series Advanced Microwave Sounding Unit Amsu Data


Satellite Based Tropical Cyclone Intensity Estimation Using Noaa Klm Series Advanced Microwave Sounding Unit Amsu Data
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Author : Kurt Frederick Brueske
language : en
Publisher:
Release Date : 2001

Satellite Based Tropical Cyclone Intensity Estimation Using Noaa Klm Series Advanced Microwave Sounding Unit Amsu Data written by Kurt Frederick Brueske and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.




The Use Of Satellite Microwave Rainfall Measurements To Predict Eastern North Pacific Tropical Cyclone Intensity


The Use Of Satellite Microwave Rainfall Measurements To Predict Eastern North Pacific Tropical Cyclone Intensity
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Author : Derek A. West
language : en
Publisher:
Release Date : 1998

The Use Of Satellite Microwave Rainfall Measurements To Predict Eastern North Pacific Tropical Cyclone Intensity written by Derek A. West and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Science categories.


This proposed study examines the potential use of satellite passive microwave rainfall measurements derived from Special Sensor Microwave/Imager (SSM/I) radiometers onboard the Defense Meteorological Satellite Program (DMSP) constellation to improve eastern North Pacific Ocean tropical cyclone intensity change forecasting techniques. Relationships between parameters obtained from an operational SSM/I-based rainfall measuring algorithm and 12-, 24-, 36-, 48-, 60- and 72-hour intensity changes from best track data records are examined in an effort to identify statistically significant predictors of intensity change. Correlations between rainfall parameters and intensity change are analyzed using tropical cyclone data from three years, 1992 to 1994. Stratifications based upon tropical cyclone intensity, rate of intensity change, climatology, translation, landfall and synoptic-scale environmental forcing variables are studied to understand factors that may affect a statistical relationship between rainfall parameters and intensity change. The predictive skill of statistically significant rainfall parameters is assessed by using independent tropical cyclone data from another year, 1995. In addition, case studies on individual tropical cyclones are conducted to gain insight on predictive performance and operational implementation issues.



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.






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Author :
language : zh-CN
Publisher:
Release Date : 2008

written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Geophysics categories.




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.



Convective Structure And Its Evolution In Tropical Cyclones As Observed By Passive Microwave Sensors In Relation To Intensity Change


Convective Structure And Its Evolution In Tropical Cyclones As Observed By Passive Microwave Sensors In Relation To Intensity Change
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Author : Daniel Harnos
language : en
Publisher:
Release Date : 2011

Convective Structure And Its Evolution In Tropical Cyclones As Observed By Passive Microwave Sensors In Relation To Intensity Change written by Daniel Harnos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


The use of passive microwave sensors in analysis of tropical cyclones provide unique insight into the microphysical attributes and system structure opposed to other instruments that are only able to detect information about the cloud top. With the ability to infer information about key microphysical processes and structure at high resolution, these platforms provide a glimpse into tropical cyclone development and intensification over systems0́9 life cycles. In particular, passive microwave observations have the potential to depict crucial precursors of rapid intensification (RI; defined as a wind increase of 30 kt/24 hr). A dataset with a common resolution of 8 km across all channels is developed for the Special Sensor Microwave Imager (SSM/I) from 1987-2008 and Tropical Rainfall Measuring Mission Microwave Imager (TMI) for 1997-2008. Statistical metrics are calculated for each storm overpass using 85 GHz and 37 GHz polarization corrected temperatures as well as microwave rain rate estimates. These products are examined as a function of azimuth and annuli in true-north, storm-relative motion, and shear-relative coordinates and evaluated in terms of intensity (wind speed) and intensity change (wind speed change over time). To examine predictive potential of these sensors, the brightness temperature statistics are evaluated in terms of linear correlations between intensity and its change. Highest values occur on the order of 0.7, and are seen at radii of 110 km between median values for 85 GHz PCT and rain rates with observed intensity. An increase in skill is evident following the initial satellite overpass, suggesting a lag between latent heating at the time of overpass and the resultant intensification. Despite this, correlation is consistently less skillful for evaluations of intensity change with values at short time changes of around 0.3. The distribution of statistical values are also evaluated in the context of the dataset with median values at the 110 km distance showing the greatest distinction of 85 GHz PCTs and rain rates for storms at the onset of RI and those that are not, with less variation seen for percentiles > 90% that are indicative of isolated convective activity. With the differentiation in structure noted between RI and non-RI storms, composites are created for each of the brightness temperature products, with a distinct modest convective ring structure evident at the onset of RI that is not present in the non-RI class. Over time this convective ring shows a tendency to contract and intensify over the 24 hour period examined for RI, with the increased latent heating over a more focused area acting to increase the system intensity. Through these evaluations the continued importance spatial convective coverage and axisymmetricization is underscored in intensity and intensity change evaluation, with a lack of signal seen in more isolated convective predictors.



International Aerospace Abstracts


International Aerospace Abstracts
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Author :
language : en
Publisher:
Release Date : 1993

International Aerospace Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Aeronautics categories.




Use Of Geostationary Satellite Cloud Vectors To Estimate Tropical Cyclone Intensity


Use Of Geostationary Satellite Cloud Vectors To Estimate Tropical Cyclone Intensity
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Author : Carl O. Erickson
language : en
Publisher:
Release Date : 1974

Use Of Geostationary Satellite Cloud Vectors To Estimate Tropical Cyclone Intensity written by Carl O. Erickson 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.