SlideShare ist ein Scribd-Unternehmen logo
1 von 31
Meteorological Satellites
Manoj B
M.Tech Part II, University of Kalyani (WB,IND)
Aug 2014
Introduction
• Meteorology is a discipline concerned with observational earth sciences and theoretical
physics
• It has the task of providing an accurate knowledge of the state of the atmosphere, which
can only be obtained through regular, simultaneous observations covering the whole
globe from the earth surface to the upper atmosphere
• Before the advent of weather satellites the weathermen had been severely handicapped
by having only a very limited knowledge of the state of the atmosphere at any given time
• With the expansion of observational networks, the vast sparsely populated land areas of
the globe and the large oceanic areas are virtually blank as far as conventional
meteorological observations are concerned
• Meteorological satellites have to a large extent has enabled to overcome this deficiency
Why Satellites?
• Satellite imagery is an invaluable source of information for operational forecasters.
• It is being used as
• an analysis tool, especially to data sparse regions like the tropics;
• direct aid to short period forecasts (6-12 hours ahead of cloud, rainfall, floods etc.)
• input to numerical weather prediction models (NWP) for defining initial condition
• monitoring the model forecast.
• It also serves as a valuable indicator of dynamical and physical process at work providing
the trained eye, some useful clues on atmosphere structure and its evolution.
Met. Satellites Requirements
• Environmental Sensing : To serve as an observing platform with appropriate sensors on
board and transmitting the information (imaging & sounding )to the stations located on
the earth’s surface
• Data Collection : To serve as a collector of meteorological data from unmanned
land/ocean based instruments
• Data Broadcast : To serve as a communication satellite for rapid exchange of
meteorological data among centres and for rapid dissemination of weather forecasts,
warnings etc. to user agencies.
Met. satellite sensors
Meteorological satellite sensors may be deployed to obtain one and/or more of the
following characteristics of different objects of the land-ocean- atmosphere system:
• Spatial Information :
• objective is to obtain the required information over a 2-dimensional plane. (like extent and temperature of
sea surface, clouds, vegetation, soil moisture, etc.)
• The best suited sensors for this class are imaging radiometers operating in visible, infrared or microwave
frequencies.
• Active sensors like Synthetic Aperture Radar (SAR) are also put to effective use for the imaging applications.
Met. satellite sensors
Meteorological satellite sensors may be deployed to obtain one and/or more of the
following characteristics of different objects of the land-ocean- atmosphere system:
• Spectral Information :
• A particular object of interest, for example an atmospheric layer, or, the ocean surface, interacts differently
with different wavelengths of electromagnetic(EM) spectra.
• The spectral information can provide details of chemical composition, and/or the temperature of the object.
Meteorological satellite sensors use this information for sounding applications, where the vertical structure
of temperature, humidity, and in some cases, the atmospheric gases is retrieved.
• Example of this sensor is High Resolution IR Sounder (HIRS), and Advance Microwave Sounding Unit
(AMSU) onboard NOAA series of satellites. Geostationary Imaging Fourier Transform Spectrometer (GIFTS)
is a new-generation sensor, which when operational, is expected to provide the vertical profiles of
temperature, humidity, and winds at several atmospheric layers in vertical.
Met. satellite sensors
Meteorological satellite sensors may be deployed to obtain one and/or more of the
following characteristics of different objects of the land-ocean- atmosphere system:
• Intensity Information :
• The intensity of EM radiation can provide several clues about the object of interest.
• In most cases, the satellite sensors measure the intensity of the radiation reflected from the object to know
the dielectric properties and the roughness of the object.
• By the use of suitable algorithms these parameters can be translated to the properties of geophysical
parameters like soil moisture, ocean surface roughness, ocean surface wind speed, and wind direction, etc.
• The sensors that use this information are radar, scatterometer, and polarimeters.
Satellite Sensors
Principle of Satellite Remote Sensing
• All objects emit electromagnetic radiation
• Satellite imagery is obtained from radiometers that measure scattered electromagnetic
radiation emitted from the sun, earth and the atmosphere.
• The satellite imageries in common operational use are :
• Visible (VIS) imagery derived from reflected sunlight at visible and near- infrared wavelength (0.4 - 1.1 µm).
• Infrared (IR) imagery derived from emissions by the earth and its atmosphere at thermal infrared
wavelengths (10-12 µm)
• Water Vapour (WV) imagery derived from water vapour emissions (6-7µm) and
• 3.7µm (often referred to as channel 3) imagery in the overlap region of solar and terrestrial radiation and
hence sometimes called near IR.
• Images from microwave radiometer such as SSM/I, and TRMM Microwave Imagers (TMI) can provide a lot
of useful information. Microwave radiation is not affected by the presence of clouds and that is an
important factor in the science of weather.
Wavelengths of different types of radiation and the channels used for satellite imagery
Types of Met. Satellites
• Polar orbiting
• Geostationary
Polar orbiting satellites
• pass approximately over the poles at a height of about 850 Km.
• The whole surface of the earth is observable by these satellites which follow orbits nearly
fixed in space while the earth is rotating beneath them.
• The areas scanned on each pass (swath) are nearly adjacent at the equator with
overlapping areas further pole-ward.
• The swaths are usually about 2600 km wide.
• These satellites complete 14 orbits per day and thus can provide global coverage twice in
24 hours.
• Same viewing angle for fixed point.
Polar orbiting satellites
• Restricted viewing of high-latitudes due to large viewing angles but excellent viewing of
the tropics.
• Differing solar illumination for fixed point throughout the day.
• Constant hourly viewing helps get clear field of view for sounding
• Passive sensors
• Some of the polar orbiting satellites are NOAA, IRS, ERS-1 &ERS-2, TRMM(low inclination),
DMSP, Oceansat-1 etc.
Orbital Coverage
NOAA KLM System
Sensor of Interest
• Advanced Very High Resolution Radiometer/3 (AVHRR/3)
• Advanced Microwave Sounding Unit – A (AMSU – A)
• Advanced Microwave Sounding Unit – B (AMSU – B)
• High Resolution Infrared Radiation Sounder (HIRS/3)
Cross-track Scanning (AMSU,AVHRR)
Defense Meteorological Satellite Program
(DMSP)
Sensor of Interest
• Special Sensor Microwave / Imager (SSM/I)
• Special Sensor Microwave / Temperature (SSM/T) – Atmospheric Temperature Profiler
• SSM/T2 – Atmospheric Water Vapor Profiler
Conical Scanning (SSM/I)
Coverage
AVHRR SSMI
AVHRR products
Sea Surface Temperature
Fire Detection Volcanic Ash Detection
Atmospheric aerosols
Normalized Difference
Vegetation Index
AMSU/SSMI Products
Rain Rate Total Perceptible Water
Snow Cover Ice Cover
Cloud Liquid Water
Geostationary satellites
• These orbit around the earth over the equator at a height of about 36000 km.
• They complete one orbit in 24 hours synchronised with earth’s rotation about its own axis.
Thus they remain over the same location on the equator.
• The main advantage of geostationary satellites lies in the high time-scale resolution of
their data. A fresh image of the full earth’s disc is available every 30 minutes.
• However they have limited spatial resolution as compared to the polar orbiting satellites
in view of their distance from the earth. Useful information is restricted to the belt
between 70 deg. N and S latitudes.
• Varying viewing angle; Same solar illumination
Geostationary satellites
• Excellent viewing of all latitudes
• Microwave helps with atmospheric and surface detection in the presence of clouds
• Passive and Active sensors
• Some of the examples of geostationary satellites are GMS( 1400 E ), GOES-W, GOES-E,
INSAT-1 and INSAT-2 Series, GEOS, METEOSAT -5 (Positioned at 64 0 E ), METEOSAT-6
etc.
GOES Coverage
G.O.E.S products (Imager)
Heavy Rainfall
High-density Winds
Fog/Low Cloud
Volcanic Ash Detection
Inflight Icing
Fire Detection
G.O.E.S products (Sounder)
Total Perceptible Water
Convective Inhibition
Water Vapour Winds
Surface Skin Temperature
INSAT Meteorological Component
• The Indian National Satellite (INSAT) is a multipurpose geostationary satellite, which
carries both meteorological, and communications payloads.
• The INSAT-1D is located at 83.5 0E and INSAT-2B is located at 93.5 0E.
• The VHRR (very high resolution radiometer) onboard the satellite has a visible (0.55-0.75
µm) and infra-red (10.5-12.5 µm) bands with resolution of 2.75 km and 11 km for INSAT-1
series, and 2 and 8 km respectively for the INSAT–2 series.
• The VHRR scans are taken every 3 hours on routine basis and half hourly to even less than
that, for monitoring cyclones etc.
• One VHRR scan takes about 30 minutes to be completed and is made up of 4096 X 4096
picture elements (pixels) in case of visible channel and 1024 x 1024 pixels in case of IR
channel. The meteorological component provides:
• Round the clock, regular half-hourly synoptic images of weather systems including severe
weather, cyclones, sea surface and cloud top temperatures, water bodies, snow etc. over
the entire territory of India as well as adjoining land and sea areas.
• Collection and transmission of meteorological, hydrological and oceanographic data from
unattended data collection platforms.
• Timely warning of impending disasters from cyclones and storms etc.
• Dissemination of meteorological information including processed images of weather
systems to the forecasting offices.
INSAT Meteorological Component
Conclusion
• Various kinds of meteorological satellites such as imaging/non-imaging,
optical/microwave and passive/active are available for retrieval of meteorological
parameters, weather forecasting etc.
• INSAT-VHRR and NOAA-AVHRR satellites data are very popular in India for studying
meteorological conditions.
References
• Kidder, S.Q. and Vonder Haar, T.H. 1995. Satellite Meteorology : An Introduction. Academic
Press.
• Krishna Rao, P. 2000. Weather Satellites System Data and Environmental Application. American
Meteorological Society, London.
• Defense Meteorological Satellite Program (DMSP) http://dmsp.ngdc.noaa.gov/dmsp.html
• NASA/JPL web pages: http://winds.jpl.nasa.gov/aboutScat/index.cfm
• NOAA’s Marine Observing Systems Team Web Page
http://manati.orbit.nesdis.noaa.gov/doc/oceanwinds1.html
• MODIS Rapid Response System http://rapidfire.sci.gsfc.nasa.gov/
• NASA MODIS Home page http://modis.gsfc.nasa.gov/
• Space Systems Loral, 1996 : GOES I-M DataBook
Can be found online at: http://rsd.gsfc.nasa.gov/goes/text/goes.databook.html
• NOAA KLM User’s Guide http://www2.ncdc.noaa.gov/docs/klm/index.htm
Thank You

Weitere ähnliche Inhalte

Was ist angesagt?

Remote Sensing fundamentals
Remote Sensing fundamentalsRemote Sensing fundamentals
Remote Sensing fundamentals
Mohammed_82
 
Global positioning system (gps)
Global positioning system (gps)Global positioning system (gps)
Global positioning system (gps)
Gokul Saud
 

Was ist angesagt? (20)

Landsat.pptx
Landsat.pptxLandsat.pptx
Landsat.pptx
 
Earth Observation Satellites
Earth Observation SatellitesEarth Observation Satellites
Earth Observation Satellites
 
Fundamentals of Remote Sensing
Fundamentals of Remote SensingFundamentals of Remote Sensing
Fundamentals of Remote Sensing
 
GPS-errors-1
GPS-errors-1GPS-errors-1
GPS-errors-1
 
Oceansat
OceansatOceansat
Oceansat
 
Thermal Remote Sensing
Thermal Remote SensingThermal Remote Sensing
Thermal Remote Sensing
 
remote sensing
remote sensingremote sensing
remote sensing
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote Sensing
 
Remote Sensing
Remote SensingRemote Sensing
Remote Sensing
 
remote sensing
remote sensingremote sensing
remote sensing
 
Ikonos
IkonosIkonos
Ikonos
 
GPS ppt.
GPS ppt. GPS ppt.
GPS ppt.
 
Introduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie RichmanIntroduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie Richman
 
Presentation on the background theory of InSAR
Presentation on the background theory of InSARPresentation on the background theory of InSAR
Presentation on the background theory of InSAR
 
Optical and infrared remote sensing
Optical and infrared remote sensingOptical and infrared remote sensing
Optical and infrared remote sensing
 
Remote sensing and image interpretation
Remote sensing and image interpretationRemote sensing and image interpretation
Remote sensing and image interpretation
 
Remote Sensing fundamentals
Remote Sensing fundamentalsRemote Sensing fundamentals
Remote Sensing fundamentals
 
Global positioning system (gps)
Global positioning system (gps)Global positioning system (gps)
Global positioning system (gps)
 
Sensors for remote sensing
Sensors for remote sensingSensors for remote sensing
Sensors for remote sensing
 
Digital image processing
Digital image processingDigital image processing
Digital image processing
 

Andere mochten auch

Prediction of rainfall using image processing
Prediction of rainfall using image processingPrediction of rainfall using image processing
Prediction of rainfall using image processing
Vineesh Kumar
 
Challenges and opportunities on testing lte backhaul via satellite
Challenges and opportunities on testing lte backhaul via satelliteChallenges and opportunities on testing lte backhaul via satellite
Challenges and opportunities on testing lte backhaul via satellite
CPqD
 
08 Rainfall Ppt 08
08   Rainfall Ppt 0808   Rainfall Ppt 08
08 Rainfall Ppt 08
ganesh092929
 

Andere mochten auch (17)

Meteocast: a real time nowcasting system
Meteocast: a real time nowcasting systemMeteocast: a real time nowcasting system
Meteocast: a real time nowcasting system
 
Sat comm
Sat commSat comm
Sat comm
 
Merging multiple soil moisture products for improving the accuracy in rainfal...
Merging multiple soil moisture products for improving the accuracy in rainfal...Merging multiple soil moisture products for improving the accuracy in rainfal...
Merging multiple soil moisture products for improving the accuracy in rainfal...
 
Prediction of rainfall using image processing
Prediction of rainfall using image processingPrediction of rainfall using image processing
Prediction of rainfall using image processing
 
Challenges and opportunities on testing lte backhaul via satellite
Challenges and opportunities on testing lte backhaul via satelliteChallenges and opportunities on testing lte backhaul via satellite
Challenges and opportunities on testing lte backhaul via satellite
 
Rainfall revision task
Rainfall revision taskRainfall revision task
Rainfall revision task
 
Types of rainfall
Types of rainfallTypes of rainfall
Types of rainfall
 
MPE data validation
MPE data validationMPE data validation
MPE data validation
 
Measurement of precipitation
Measurement of precipitationMeasurement of precipitation
Measurement of precipitation
 
08 Rainfall Ppt 08
08   Rainfall Ppt 0808   Rainfall Ppt 08
08 Rainfall Ppt 08
 
Measurement of precipitation (rainfall )
Measurement of precipitation (rainfall )Measurement of precipitation (rainfall )
Measurement of precipitation (rainfall )
 
Precipitation and its estimation
Precipitation and its estimationPrecipitation and its estimation
Precipitation and its estimation
 
Geostationary Satellite
Geostationary SatelliteGeostationary Satellite
Geostationary Satellite
 
Using Computer-simulated hydrological model (SWAT) to estimate the ground-wat...
Using Computer-simulated hydrological model (SWAT) to estimate the ground-wat...Using Computer-simulated hydrological model (SWAT) to estimate the ground-wat...
Using Computer-simulated hydrological model (SWAT) to estimate the ground-wat...
 
Rainfall ppt
Rainfall pptRainfall ppt
Rainfall ppt
 
Flood estimation
Flood estimation Flood estimation
Flood estimation
 
Indian constitution
Indian constitutionIndian constitution
Indian constitution
 

Ähnlich wie Meteorological Satellites

mateorological and ocean monitoring satellite (2).pptx
mateorological and ocean monitoring satellite (2).pptxmateorological and ocean monitoring satellite (2).pptx
mateorological and ocean monitoring satellite (2).pptx
sapna kinattinkara
 
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
ShavnamMehta
 
rsgis-unitii-160731062950.pdf
rsgis-unitii-160731062950.pdfrsgis-unitii-160731062950.pdf
rsgis-unitii-160731062950.pdf
BSuresh26
 

Ähnlich wie Meteorological Satellites (20)

Meteorological satellites and their types
Meteorological satellites and their typesMeteorological satellites and their types
Meteorological satellites and their types
 
RS_GIS_GPS.pdf
RS_GIS_GPS.pdfRS_GIS_GPS.pdf
RS_GIS_GPS.pdf
 
mateorological and ocean monitoring satellite (2).pptx
mateorological and ocean monitoring satellite (2).pptxmateorological and ocean monitoring satellite (2).pptx
mateorological and ocean monitoring satellite (2).pptx
 
GIS Plateform and satellite
GIS Plateform and satelliteGIS Plateform and satellite
GIS Plateform and satellite
 
Remote sensing & Radiometers Systems
Remote sensing & Radiometers Systems Remote sensing & Radiometers Systems
Remote sensing & Radiometers Systems
 
Rs
RsRs
Rs
 
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
Concepts of Remote Sensing: Process and Stages of Remote Sensing, Remote Sens...
 
Surveying ii ajith sir class6
Surveying ii ajith sir class6Surveying ii ajith sir class6
Surveying ii ajith sir class6
 
Remote Sensing platforms and types of RS.pptx
Remote Sensing platforms and types of RS.pptxRemote Sensing platforms and types of RS.pptx
Remote Sensing platforms and types of RS.pptx
 
groundtruth collection for remotesensing support
groundtruth collection for remotesensing supportgroundtruth collection for remotesensing support
groundtruth collection for remotesensing support
 
Remote sensing in Civil Engineering
Remote sensing in Civil EngineeringRemote sensing in Civil Engineering
Remote sensing in Civil Engineering
 
Tools for weather forecasting
Tools for weather forecastingTools for weather forecasting
Tools for weather forecasting
 
Remote sensing - Scanners
Remote sensing - ScannersRemote sensing - Scanners
Remote sensing - Scanners
 
Remote sensing
Remote sensingRemote sensing
Remote sensing
 
Unit 1 introduction to remote sensing
Unit  1 introduction to remote sensing Unit  1 introduction to remote sensing
Unit 1 introduction to remote sensing
 
Kannan RS.ppt
Kannan RS.pptKannan RS.ppt
Kannan RS.ppt
 
Remote sensing, GPS and GIS ppt
Remote sensing, GPS and GIS pptRemote sensing, GPS and GIS ppt
Remote sensing, GPS and GIS ppt
 
Rahul seminar2 2_for_slideshare.pptx
Rahul seminar2 2_for_slideshare.pptxRahul seminar2 2_for_slideshare.pptx
Rahul seminar2 2_for_slideshare.pptx
 
rsgis-unitii-160731062950.pdf
rsgis-unitii-160731062950.pdfrsgis-unitii-160731062950.pdf
rsgis-unitii-160731062950.pdf
 
Introduction to Remote Sensing
Introduction to Remote SensingIntroduction to Remote Sensing
Introduction to Remote Sensing
 

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 

Meteorological Satellites

  • 1. Meteorological Satellites Manoj B M.Tech Part II, University of Kalyani (WB,IND) Aug 2014
  • 2. Introduction • Meteorology is a discipline concerned with observational earth sciences and theoretical physics • It has the task of providing an accurate knowledge of the state of the atmosphere, which can only be obtained through regular, simultaneous observations covering the whole globe from the earth surface to the upper atmosphere • Before the advent of weather satellites the weathermen had been severely handicapped by having only a very limited knowledge of the state of the atmosphere at any given time • With the expansion of observational networks, the vast sparsely populated land areas of the globe and the large oceanic areas are virtually blank as far as conventional meteorological observations are concerned • Meteorological satellites have to a large extent has enabled to overcome this deficiency
  • 3. Why Satellites? • Satellite imagery is an invaluable source of information for operational forecasters. • It is being used as • an analysis tool, especially to data sparse regions like the tropics; • direct aid to short period forecasts (6-12 hours ahead of cloud, rainfall, floods etc.) • input to numerical weather prediction models (NWP) for defining initial condition • monitoring the model forecast. • It also serves as a valuable indicator of dynamical and physical process at work providing the trained eye, some useful clues on atmosphere structure and its evolution.
  • 4. Met. Satellites Requirements • Environmental Sensing : To serve as an observing platform with appropriate sensors on board and transmitting the information (imaging & sounding )to the stations located on the earth’s surface • Data Collection : To serve as a collector of meteorological data from unmanned land/ocean based instruments • Data Broadcast : To serve as a communication satellite for rapid exchange of meteorological data among centres and for rapid dissemination of weather forecasts, warnings etc. to user agencies.
  • 5. Met. satellite sensors Meteorological satellite sensors may be deployed to obtain one and/or more of the following characteristics of different objects of the land-ocean- atmosphere system: • Spatial Information : • objective is to obtain the required information over a 2-dimensional plane. (like extent and temperature of sea surface, clouds, vegetation, soil moisture, etc.) • The best suited sensors for this class are imaging radiometers operating in visible, infrared or microwave frequencies. • Active sensors like Synthetic Aperture Radar (SAR) are also put to effective use for the imaging applications.
  • 6. Met. satellite sensors Meteorological satellite sensors may be deployed to obtain one and/or more of the following characteristics of different objects of the land-ocean- atmosphere system: • Spectral Information : • A particular object of interest, for example an atmospheric layer, or, the ocean surface, interacts differently with different wavelengths of electromagnetic(EM) spectra. • The spectral information can provide details of chemical composition, and/or the temperature of the object. Meteorological satellite sensors use this information for sounding applications, where the vertical structure of temperature, humidity, and in some cases, the atmospheric gases is retrieved. • Example of this sensor is High Resolution IR Sounder (HIRS), and Advance Microwave Sounding Unit (AMSU) onboard NOAA series of satellites. Geostationary Imaging Fourier Transform Spectrometer (GIFTS) is a new-generation sensor, which when operational, is expected to provide the vertical profiles of temperature, humidity, and winds at several atmospheric layers in vertical.
  • 7. Met. satellite sensors Meteorological satellite sensors may be deployed to obtain one and/or more of the following characteristics of different objects of the land-ocean- atmosphere system: • Intensity Information : • The intensity of EM radiation can provide several clues about the object of interest. • In most cases, the satellite sensors measure the intensity of the radiation reflected from the object to know the dielectric properties and the roughness of the object. • By the use of suitable algorithms these parameters can be translated to the properties of geophysical parameters like soil moisture, ocean surface roughness, ocean surface wind speed, and wind direction, etc. • The sensors that use this information are radar, scatterometer, and polarimeters.
  • 9. Principle of Satellite Remote Sensing • All objects emit electromagnetic radiation • Satellite imagery is obtained from radiometers that measure scattered electromagnetic radiation emitted from the sun, earth and the atmosphere. • The satellite imageries in common operational use are : • Visible (VIS) imagery derived from reflected sunlight at visible and near- infrared wavelength (0.4 - 1.1 µm). • Infrared (IR) imagery derived from emissions by the earth and its atmosphere at thermal infrared wavelengths (10-12 µm) • Water Vapour (WV) imagery derived from water vapour emissions (6-7µm) and • 3.7µm (often referred to as channel 3) imagery in the overlap region of solar and terrestrial radiation and hence sometimes called near IR. • Images from microwave radiometer such as SSM/I, and TRMM Microwave Imagers (TMI) can provide a lot of useful information. Microwave radiation is not affected by the presence of clouds and that is an important factor in the science of weather.
  • 10. Wavelengths of different types of radiation and the channels used for satellite imagery
  • 11. Types of Met. Satellites • Polar orbiting • Geostationary
  • 12. Polar orbiting satellites • pass approximately over the poles at a height of about 850 Km. • The whole surface of the earth is observable by these satellites which follow orbits nearly fixed in space while the earth is rotating beneath them. • The areas scanned on each pass (swath) are nearly adjacent at the equator with overlapping areas further pole-ward. • The swaths are usually about 2600 km wide. • These satellites complete 14 orbits per day and thus can provide global coverage twice in 24 hours. • Same viewing angle for fixed point.
  • 13. Polar orbiting satellites • Restricted viewing of high-latitudes due to large viewing angles but excellent viewing of the tropics. • Differing solar illumination for fixed point throughout the day. • Constant hourly viewing helps get clear field of view for sounding • Passive sensors • Some of the polar orbiting satellites are NOAA, IRS, ERS-1 &ERS-2, TRMM(low inclination), DMSP, Oceansat-1 etc.
  • 15. NOAA KLM System Sensor of Interest • Advanced Very High Resolution Radiometer/3 (AVHRR/3) • Advanced Microwave Sounding Unit – A (AMSU – A) • Advanced Microwave Sounding Unit – B (AMSU – B) • High Resolution Infrared Radiation Sounder (HIRS/3)
  • 17. Defense Meteorological Satellite Program (DMSP) Sensor of Interest • Special Sensor Microwave / Imager (SSM/I) • Special Sensor Microwave / Temperature (SSM/T) – Atmospheric Temperature Profiler • SSM/T2 – Atmospheric Water Vapor Profiler
  • 20. AVHRR products Sea Surface Temperature Fire Detection Volcanic Ash Detection Atmospheric aerosols Normalized Difference Vegetation Index
  • 21. AMSU/SSMI Products Rain Rate Total Perceptible Water Snow Cover Ice Cover Cloud Liquid Water
  • 22. Geostationary satellites • These orbit around the earth over the equator at a height of about 36000 km. • They complete one orbit in 24 hours synchronised with earth’s rotation about its own axis. Thus they remain over the same location on the equator. • The main advantage of geostationary satellites lies in the high time-scale resolution of their data. A fresh image of the full earth’s disc is available every 30 minutes. • However they have limited spatial resolution as compared to the polar orbiting satellites in view of their distance from the earth. Useful information is restricted to the belt between 70 deg. N and S latitudes. • Varying viewing angle; Same solar illumination
  • 23. Geostationary satellites • Excellent viewing of all latitudes • Microwave helps with atmospheric and surface detection in the presence of clouds • Passive and Active sensors • Some of the examples of geostationary satellites are GMS( 1400 E ), GOES-W, GOES-E, INSAT-1 and INSAT-2 Series, GEOS, METEOSAT -5 (Positioned at 64 0 E ), METEOSAT-6 etc.
  • 25. G.O.E.S products (Imager) Heavy Rainfall High-density Winds Fog/Low Cloud Volcanic Ash Detection Inflight Icing Fire Detection
  • 26. G.O.E.S products (Sounder) Total Perceptible Water Convective Inhibition Water Vapour Winds Surface Skin Temperature
  • 27. INSAT Meteorological Component • The Indian National Satellite (INSAT) is a multipurpose geostationary satellite, which carries both meteorological, and communications payloads. • The INSAT-1D is located at 83.5 0E and INSAT-2B is located at 93.5 0E. • The VHRR (very high resolution radiometer) onboard the satellite has a visible (0.55-0.75 µm) and infra-red (10.5-12.5 µm) bands with resolution of 2.75 km and 11 km for INSAT-1 series, and 2 and 8 km respectively for the INSAT–2 series. • The VHRR scans are taken every 3 hours on routine basis and half hourly to even less than that, for monitoring cyclones etc. • One VHRR scan takes about 30 minutes to be completed and is made up of 4096 X 4096 picture elements (pixels) in case of visible channel and 1024 x 1024 pixels in case of IR channel. The meteorological component provides:
  • 28. • Round the clock, regular half-hourly synoptic images of weather systems including severe weather, cyclones, sea surface and cloud top temperatures, water bodies, snow etc. over the entire territory of India as well as adjoining land and sea areas. • Collection and transmission of meteorological, hydrological and oceanographic data from unattended data collection platforms. • Timely warning of impending disasters from cyclones and storms etc. • Dissemination of meteorological information including processed images of weather systems to the forecasting offices. INSAT Meteorological Component
  • 29. Conclusion • Various kinds of meteorological satellites such as imaging/non-imaging, optical/microwave and passive/active are available for retrieval of meteorological parameters, weather forecasting etc. • INSAT-VHRR and NOAA-AVHRR satellites data are very popular in India for studying meteorological conditions.
  • 30. References • Kidder, S.Q. and Vonder Haar, T.H. 1995. Satellite Meteorology : An Introduction. Academic Press. • Krishna Rao, P. 2000. Weather Satellites System Data and Environmental Application. American Meteorological Society, London. • Defense Meteorological Satellite Program (DMSP) http://dmsp.ngdc.noaa.gov/dmsp.html • NASA/JPL web pages: http://winds.jpl.nasa.gov/aboutScat/index.cfm • NOAA’s Marine Observing Systems Team Web Page http://manati.orbit.nesdis.noaa.gov/doc/oceanwinds1.html • MODIS Rapid Response System http://rapidfire.sci.gsfc.nasa.gov/ • NASA MODIS Home page http://modis.gsfc.nasa.gov/ • Space Systems Loral, 1996 : GOES I-M DataBook Can be found online at: http://rsd.gsfc.nasa.gov/goes/text/goes.databook.html • NOAA KLM User’s Guide http://www2.ncdc.noaa.gov/docs/klm/index.htm