SlideShare a Scribd company logo
1 of 20
A CASE STUDY ON SPECTRAL ANALYSIS OF CYCLONE HUDHUD
UNDER THE GUIDANCE OF
Dr.CH.SRINIVASU
A presentation by
V. SANTOSH(17981A04L6)
Cyclone Hudhud - The origin
• Extremely Severe Cyclonic Storm Hudhud was a strong tropical cyclone that
caused extensive damage and loss of life in eastern India and Nepal during
October 2014.
• Hudhud originated from a low pressure system that formed under the influence of
an upper-air cyclonic circulation in the Andaman Sea on October 6. Hudhud
intensified into a cyclonic storm on October 8 and as a Severe Cyclonic Storm on
October 9.
• Hudhud underwent rapid deepening in the following days and was classified as a
Very Severe Cyclonic Storm by the IMD.
• Tropical Cyclone Hudhud powered ashore near Visakhapatnam, India
at 05 UTC (3 am EDT) Sunday as a Category 4 storm with sustained
winds of 135 mph.
• Wind observations from Visakhapatnam showed a peak sustained
wind of 73 mph at 9:44 am local time, with a peak gust of 119 mph at
10:30 am.
• On October 11, Hudhud underwent rapid intensification and developed an eye at
its center. In the following hours, the storm reached its peak intensity with a
minimum central pressure of 950 mbar (28.05 inHg) and three-minute average
windspeeds of 185 km/h (115 mph).
• Maintaining intensity, it made landfall over Visakhapatnam, Andhra Pradesh at
noon of October 12. The maximum wind gust recorded by the High Wind Speed
Recorder (HWSR) instrument of the Cyclone Warning Center in Visakhapatnam was
260 km/h (160 mph).
• Measured by the Doppler weather radar stationed in the city, the storm's eye was
66 km (41 mi) in diameter. The strength of the winds disrupted telecommunication
lines and damaged the radar, inhibiting further observations
As observed by ECHO - European
Community Humanitarian Aid
Office
HUDHUD OBSERVATION
Final image of
Tropical Cyclone
Hudhud as seen
by radar out of
Visakhapatnam,
India before it
failed at 12:51
am October 12,
2014.
At the time,
Hudhud was a
Category 4
storm with 135
mph winds.
dBZ
• dBZ stands for decibel relative to Z.
• It is a logarithmic dimensionless technical unit used in radar, mostly in weather radar,
to compare the equivalent reflectivity factor (Z) of a radar signal reflected off a
remote object (in mm6 per m3) to the return of a droplet of rain with a diameter of 1
mm (1 mm6 per m3)
• Reflectance of the surface of a material is its effectiveness in reflecting radiant
energy. It is the fraction of incident electromagnetic power that is reflected at an
interface.
INTEPRETING THE ABOVE
OBTAINED RADAR SIGNALS
Parametric Descriptions of Tropical
Cyclone Wind-Wave Generation
• Tropical cyclones, hurricanes, or typhoons represent the major
meteorological forcing events inmany tropical and sub-tropical
regions.
• The intense winds generated by the spatially compact and well-
formed vortex structures of such systems generate large and
potentially destructive ocean surface waves
• As the wind field varies rapidly in space and time (in both magnitude
and direction) in such systems, it would initially seem that
understanding the resulting wave fields would be a daunting task.
• It is true that such systems do represent a challenging test of our
understanding of the physical processes that are active.
HOLLAND MODEL
• The Holland wind field model (1) has been extensively used in many
wind and wavestudies, it has the limitation that it is, by definition, a
vortex not embedded in any background flow.
• In fluid dynamics, a vortex is a region in a fluid in which the flow
revolves around an axis line, which may be straight or curved
• As a result, at large values of r, the model tends to underestimate
observed winds. Thompson found that the performance of the
Holland model at large r could be improved by theaddition of a
second outer vortex of the same form as in model .
• The aim here is not to create a second tropical cyclone eye or eye
wall. Rather, there is a primary vortex with radius R1 and parameter
p01 which largely defines the vortex and then a second larger vortex
with radius R2 and parameter p02
• p0 is the central pressure and pn is the ambient atmospheric
pressure far from the storm
Tropical cyclone wind fields. (a) Left panel—calculated with
a single Holland vortex (1) and parameters, p0 = 950 HPa,
pn = 1005 HPa, R = 30 km
Schematic diagram showing the
generation of waves within a
translating northern hemisphere
tropical cyclone.
• For ultrasound color flow images with high quality, it is important to
suppress the clutter signals
• The class of filters that are used are finite impulse response (FIR),
infinite impulse response (IIR)
• IIR filters are one of two primary types of digital filters used in Digital
Signal Processing (DSP) applications (the other type being FIR). “IIR”
means “Infinite Impulse Response.”
Clutter filter
• The impulse response is “infinite” because there is feedback in the
filter; if you put in an impulse (a single “1” sample followed by many
“0” samples), an infinite number of non-zero values will come out
(theoretically.)
• DSP filters can also be “Finite Impulse Response” (FIR). FIR filters do
not use feedback, so for a FIR filter with N coefficients, the output
always becomes zero after putting in N samples of an impulse
response.
• In the above filtering IIR Doppler 8 filter is used.
REFERENCES
• https://ijoer.com/Paper-March-2016/IJOER-FEB-2016-62.pdf
• https://www.schulich.uwo.ca/biophysics/undergraduate/3970Z_Six_
Week_Undergrad_Projects/2012%20Digital%20Clutter%20Filter%20f
or%20Power%20Doppler%20Ultrasound.pdf
• https://blogs.mprnews.org/updraft/2014/10/tropical-trouble-four-
storms-you-should-know-about/
THANK YOU

More Related Content

What's hot

Radar communication 2
Radar communication 2Radar communication 2
Radar communication 2
Ashwani Kumar
 
Doppler effect experiment and applications
Doppler effect experiment and applicationsDoppler effect experiment and applications
Doppler effect experiment and applications
marina fayez
 
Dr.r.k.mishra(pgt phy) jnv tenughat
Dr.r.k.mishra(pgt phy) jnv tenughatDr.r.k.mishra(pgt phy) jnv tenughat
Dr.r.k.mishra(pgt phy) jnv tenughat
rexasif
 
Fundamentals of radar signal processing mark a. richards
Fundamentals of radar signal processing   mark a. richardsFundamentals of radar signal processing   mark a. richards
Fundamentals of radar signal processing mark a. richards
Abdul Raheem
 
The doppler effect
The doppler effectThe doppler effect
The doppler effect
sbarkanic
 

What's hot (20)

ANTENNA AND WAVE PROPAGATION: IONOSPHERIC FADING EFFECT
ANTENNA AND WAVE PROPAGATION: IONOSPHERIC FADING EFFECTANTENNA AND WAVE PROPAGATION: IONOSPHERIC FADING EFFECT
ANTENNA AND WAVE PROPAGATION: IONOSPHERIC FADING EFFECT
 
Radar and sonar subbu
Radar and sonar subbuRadar and sonar subbu
Radar and sonar subbu
 
Doppler Effect and Blueshift and Redshift
Doppler Effect and Blueshift and RedshiftDoppler Effect and Blueshift and Redshift
Doppler Effect and Blueshift and Redshift
 
IB Physics Doppler effect flippingphysics by Nothingnerdy
IB Physics Doppler effect flippingphysics by NothingnerdyIB Physics Doppler effect flippingphysics by Nothingnerdy
IB Physics Doppler effect flippingphysics by Nothingnerdy
 
introduction to radar
introduction to radarintroduction to radar
introduction to radar
 
Doppler's effect
Doppler's effect Doppler's effect
Doppler's effect
 
STUDY OF RADAR
STUDY OF RADARSTUDY OF RADAR
STUDY OF RADAR
 
Doppler Effect
Doppler EffectDoppler Effect
Doppler Effect
 
Radar communication 2
Radar communication 2Radar communication 2
Radar communication 2
 
Radar
RadarRadar
Radar
 
Doppler physics by Dr Nani
Doppler physics by Dr NaniDoppler physics by Dr Nani
Doppler physics by Dr Nani
 
Doppler effect
Doppler effectDoppler effect
Doppler effect
 
Doppler effect experiment and applications
Doppler effect experiment and applicationsDoppler effect experiment and applications
Doppler effect experiment and applications
 
Dr.r.k.mishra(pgt phy) jnv tenughat
Dr.r.k.mishra(pgt phy) jnv tenughatDr.r.k.mishra(pgt phy) jnv tenughat
Dr.r.k.mishra(pgt phy) jnv tenughat
 
What Is Red Shift
What Is Red ShiftWhat Is Red Shift
What Is Red Shift
 
Fundamentals of radar signal processing mark a. richards
Fundamentals of radar signal processing   mark a. richardsFundamentals of radar signal processing   mark a. richards
Fundamentals of radar signal processing mark a. richards
 
The doppler effect
The doppler effectThe doppler effect
The doppler effect
 
Surveying ii ajith sir class5
Surveying ii ajith sir class5Surveying ii ajith sir class5
Surveying ii ajith sir class5
 
Doppler physics
Doppler physics Doppler physics
Doppler physics
 
Radar Powerpoint
Radar PowerpointRadar Powerpoint
Radar Powerpoint
 

Similar to Cyclone Hudhud

Infrasoundultrasound
Infrasoundultrasound Infrasoundultrasound
Infrasoundultrasound
Jasmine John
 
Ppa6 Lecture Ch 12
Ppa6 Lecture Ch 12Ppa6 Lecture Ch 12
Ppa6 Lecture Ch 12
josoborned
 
Sci 1010 chapter 6
Sci 1010 chapter 6Sci 1010 chapter 6
Sci 1010 chapter 6
stanbridge
 
ddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptx
ddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptxddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptx
ddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptx
vishalharvara0
 
Realization of ofdm based underwater acoustic communication
Realization of ofdm based underwater acoustic communicationRealization of ofdm based underwater acoustic communication
Realization of ofdm based underwater acoustic communication
eSAT Journals
 
Infrasound & Ultrasound
Infrasound & UltrasoundInfrasound & Ultrasound
Infrasound & Ultrasound
luv4peace
 

Similar to Cyclone Hudhud (20)

PHYSICS OF ULTRASOUND AND KNOBOLOGY
PHYSICS OF ULTRASOUND AND KNOBOLOGYPHYSICS OF ULTRASOUND AND KNOBOLOGY
PHYSICS OF ULTRASOUND AND KNOBOLOGY
 
Infrasoundultrasound
Infrasoundultrasound Infrasoundultrasound
Infrasoundultrasound
 
Radar
RadarRadar
Radar
 
USphysics.pptx
USphysics.pptxUSphysics.pptx
USphysics.pptx
 
radar-principles
radar-principlesradar-principles
radar-principles
 
Sound and Communication NIOS Plus one
Sound and Communication NIOS Plus oneSound and Communication NIOS Plus one
Sound and Communication NIOS Plus one
 
Radar Basics
Radar BasicsRadar Basics
Radar Basics
 
Ultrasound physics
Ultrasound physicsUltrasound physics
Ultrasound physics
 
Radar presentation
Radar presentation Radar presentation
Radar presentation
 
Ppa6 Lecture Ch 12
Ppa6 Lecture Ch 12Ppa6 Lecture Ch 12
Ppa6 Lecture Ch 12
 
RARDAR Material
RARDAR MaterialRARDAR Material
RARDAR Material
 
Sci 1010 chapter 6
Sci 1010 chapter 6Sci 1010 chapter 6
Sci 1010 chapter 6
 
Evs1
Evs1Evs1
Evs1
 
ddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptx
ddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptxddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptx
ddopllhshdhdhshshsjsjdjjdjdjdjdhsher.pptx
 
Doppler Ultrasonography And Advancements in USG
Doppler Ultrasonography And Advancements in USGDoppler Ultrasonography And Advancements in USG
Doppler Ultrasonography And Advancements in USG
 
Realization of ofdm based underwater acoustic communication
Realization of ofdm based underwater acoustic communicationRealization of ofdm based underwater acoustic communication
Realization of ofdm based underwater acoustic communication
 
Therapeutic Ultrasound SRS
Therapeutic Ultrasound SRSTherapeutic Ultrasound SRS
Therapeutic Ultrasound SRS
 
Infrasound & Ultrasound
Infrasound & UltrasoundInfrasound & Ultrasound
Infrasound & Ultrasound
 
Physics Aerodynamics
Physics AerodynamicsPhysics Aerodynamics
Physics Aerodynamics
 
S4 oman wind energy lidar sodar 2016
S4 oman wind energy lidar sodar 2016S4 oman wind energy lidar sodar 2016
S4 oman wind energy lidar sodar 2016
 

Recently uploaded

Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
BalamuruganV28
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
IJECEIAES
 
Artificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdfArtificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdf
Kira Dess
 
21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx
rahulmanepalli02
 

Recently uploaded (20)

Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
 
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
 
Intro to Design (for Engineers) at Sydney Uni
Intro to Design (for Engineers) at Sydney UniIntro to Design (for Engineers) at Sydney Uni
Intro to Design (for Engineers) at Sydney Uni
 
Instruct Nirmaana 24-Smart and Lean Construction Through Technology.pdf
Instruct Nirmaana 24-Smart and Lean Construction Through Technology.pdfInstruct Nirmaana 24-Smart and Lean Construction Through Technology.pdf
Instruct Nirmaana 24-Smart and Lean Construction Through Technology.pdf
 
handbook on reinforce concrete and detailing
handbook on reinforce concrete and detailinghandbook on reinforce concrete and detailing
handbook on reinforce concrete and detailing
 
Research Methodolgy & Intellectual Property Rights Series 1
Research Methodolgy & Intellectual Property Rights Series 1Research Methodolgy & Intellectual Property Rights Series 1
Research Methodolgy & Intellectual Property Rights Series 1
 
CLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference ModalCLOUD COMPUTING SERVICES - Cloud Reference Modal
CLOUD COMPUTING SERVICES - Cloud Reference Modal
 
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and ToolsMaximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools
 
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdflitvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
 
UNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptxUNIT 4 PTRP final Convergence in probability.pptx
UNIT 4 PTRP final Convergence in probability.pptx
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
 
Passive Air Cooling System and Solar Water Heater.ppt
Passive Air Cooling System and Solar Water Heater.pptPassive Air Cooling System and Solar Water Heater.ppt
Passive Air Cooling System and Solar Water Heater.ppt
 
Artificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdfArtificial intelligence presentation2-171219131633.pdf
Artificial intelligence presentation2-171219131633.pdf
 
UNIT-2 image enhancement.pdf Image Processing Unit 2 AKTU
UNIT-2 image enhancement.pdf Image Processing Unit 2 AKTUUNIT-2 image enhancement.pdf Image Processing Unit 2 AKTU
UNIT-2 image enhancement.pdf Image Processing Unit 2 AKTU
 
Working Principle of Echo Sounder and Doppler Effect.pdf
Working Principle of Echo Sounder and Doppler Effect.pdfWorking Principle of Echo Sounder and Doppler Effect.pdf
Working Principle of Echo Sounder and Doppler Effect.pdf
 
21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx21P35A0312 Internship eccccccReport.docx
21P35A0312 Internship eccccccReport.docx
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
Circuit Breakers for Engineering Students
Circuit Breakers for Engineering StudentsCircuit Breakers for Engineering Students
Circuit Breakers for Engineering Students
 
analog-vs-digital-communication (concept of analog and digital).pptx
analog-vs-digital-communication (concept of analog and digital).pptxanalog-vs-digital-communication (concept of analog and digital).pptx
analog-vs-digital-communication (concept of analog and digital).pptx
 
Artificial Intelligence in due diligence
Artificial Intelligence in due diligenceArtificial Intelligence in due diligence
Artificial Intelligence in due diligence
 

Cyclone Hudhud

  • 1. A CASE STUDY ON SPECTRAL ANALYSIS OF CYCLONE HUDHUD UNDER THE GUIDANCE OF Dr.CH.SRINIVASU A presentation by V. SANTOSH(17981A04L6)
  • 2. Cyclone Hudhud - The origin • Extremely Severe Cyclonic Storm Hudhud was a strong tropical cyclone that caused extensive damage and loss of life in eastern India and Nepal during October 2014. • Hudhud originated from a low pressure system that formed under the influence of an upper-air cyclonic circulation in the Andaman Sea on October 6. Hudhud intensified into a cyclonic storm on October 8 and as a Severe Cyclonic Storm on October 9. • Hudhud underwent rapid deepening in the following days and was classified as a Very Severe Cyclonic Storm by the IMD.
  • 3.
  • 4. • Tropical Cyclone Hudhud powered ashore near Visakhapatnam, India at 05 UTC (3 am EDT) Sunday as a Category 4 storm with sustained winds of 135 mph. • Wind observations from Visakhapatnam showed a peak sustained wind of 73 mph at 9:44 am local time, with a peak gust of 119 mph at 10:30 am.
  • 5. • On October 11, Hudhud underwent rapid intensification and developed an eye at its center. In the following hours, the storm reached its peak intensity with a minimum central pressure of 950 mbar (28.05 inHg) and three-minute average windspeeds of 185 km/h (115 mph). • Maintaining intensity, it made landfall over Visakhapatnam, Andhra Pradesh at noon of October 12. The maximum wind gust recorded by the High Wind Speed Recorder (HWSR) instrument of the Cyclone Warning Center in Visakhapatnam was 260 km/h (160 mph). • Measured by the Doppler weather radar stationed in the city, the storm's eye was 66 km (41 mi) in diameter. The strength of the winds disrupted telecommunication lines and damaged the radar, inhibiting further observations
  • 6. As observed by ECHO - European Community Humanitarian Aid Office
  • 8. Final image of Tropical Cyclone Hudhud as seen by radar out of Visakhapatnam, India before it failed at 12:51 am October 12, 2014. At the time, Hudhud was a Category 4 storm with 135 mph winds.
  • 9. dBZ • dBZ stands for decibel relative to Z. • It is a logarithmic dimensionless technical unit used in radar, mostly in weather radar, to compare the equivalent reflectivity factor (Z) of a radar signal reflected off a remote object (in mm6 per m3) to the return of a droplet of rain with a diameter of 1 mm (1 mm6 per m3) • Reflectance of the surface of a material is its effectiveness in reflecting radiant energy. It is the fraction of incident electromagnetic power that is reflected at an interface.
  • 11. Parametric Descriptions of Tropical Cyclone Wind-Wave Generation • Tropical cyclones, hurricanes, or typhoons represent the major meteorological forcing events inmany tropical and sub-tropical regions. • The intense winds generated by the spatially compact and well- formed vortex structures of such systems generate large and potentially destructive ocean surface waves
  • 12. • As the wind field varies rapidly in space and time (in both magnitude and direction) in such systems, it would initially seem that understanding the resulting wave fields would be a daunting task. • It is true that such systems do represent a challenging test of our understanding of the physical processes that are active.
  • 13. HOLLAND MODEL • The Holland wind field model (1) has been extensively used in many wind and wavestudies, it has the limitation that it is, by definition, a vortex not embedded in any background flow. • In fluid dynamics, a vortex is a region in a fluid in which the flow revolves around an axis line, which may be straight or curved • As a result, at large values of r, the model tends to underestimate observed winds. Thompson found that the performance of the Holland model at large r could be improved by theaddition of a second outer vortex of the same form as in model .
  • 14. • The aim here is not to create a second tropical cyclone eye or eye wall. Rather, there is a primary vortex with radius R1 and parameter p01 which largely defines the vortex and then a second larger vortex with radius R2 and parameter p02 • p0 is the central pressure and pn is the ambient atmospheric pressure far from the storm
  • 15. Tropical cyclone wind fields. (a) Left panel—calculated with a single Holland vortex (1) and parameters, p0 = 950 HPa, pn = 1005 HPa, R = 30 km
  • 16. Schematic diagram showing the generation of waves within a translating northern hemisphere tropical cyclone.
  • 17. • For ultrasound color flow images with high quality, it is important to suppress the clutter signals • The class of filters that are used are finite impulse response (FIR), infinite impulse response (IIR) • IIR filters are one of two primary types of digital filters used in Digital Signal Processing (DSP) applications (the other type being FIR). “IIR” means “Infinite Impulse Response.” Clutter filter
  • 18. • The impulse response is “infinite” because there is feedback in the filter; if you put in an impulse (a single “1” sample followed by many “0” samples), an infinite number of non-zero values will come out (theoretically.) • DSP filters can also be “Finite Impulse Response” (FIR). FIR filters do not use feedback, so for a FIR filter with N coefficients, the output always becomes zero after putting in N samples of an impulse response. • In the above filtering IIR Doppler 8 filter is used.