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TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
TRMM observation for global rainfall prediction and flood monitoring study
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TRMM observation for global rainfall prediction and flood monitoring study

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  • 1. TRMM  Observa,on  For  Global  Rainfall   Predic,on  And  Flood  Monitoring   Presented By: Presha Joshi Shristi Nhuchhe Pradhan Academic Supervisor: Dr. Nanda Bikram Adhikari Institute of Engineering, Pulchowk Campus, Nepal January 24, 2010
  • 2. INTRODUCTION   •  Tropical  Rainfall  Measuring  Mission  (TRMM)   •  Before  TRMM  global  distribu8on  of  rainfall  at  the   Earth's  surface  had  uncertain8es  of  the  order  of  50%     •  Measures  the  ver8cal  distribu8on  of  precipita8on   over  the  tropics  in  a  band  between  35  degrees  north   and  south  la8tudes   •  Improves  modelling  of  tropical  rainfall  processes  and   their  influence  on  global  circula8on  
  • 3. INSTRUMENTS  IN  TRMM   §  Precipita8on  Radar  (PR)   Ø  Horizontal  resolu8on:  3.1  miles  (5  km)   Ø  Swath  width:  154  miles  (247  km)   Ø  Ver8cal  profiles:  about  12  miles  (20   km).   Ø  Radar  frequency  :  3  8mes  greater   than  a  ground  radar     §  TRMM  microwave  imager  (TMI)   Ø  Passive  microwave  sensor   Ø  Provide  quan8ta8ve  rainfall   informa8on  over  a  wide  swath  under   the  TRMM  satellite.   Ø  Quan8fy  the  water  vapour,  the  cloud   water,  and  the  rainfall  intensity  in  the   atmosphere   http://trmm.gsfc.nasa.gov
  • 4. INSTRUMENTS  IN  TRMM  (contd...)   §  Visible  and  InfraRed  Scanner  (VIRS)   Ø  Senses  radia8on  coming  up  from  the   Earth  in  five  spectral  regions,  ranging   from  visible  to  infrared   Ø  Can  be  used  to  determine  the  brightness   (visible  and  near  infrared)  or  temperature   (infrared)  of  the  source.     §  Cloud  and  Earth  Radiant    Energy   Sensors  (CERES)   Ø  Study  the  energy  exchanged  between  the   Sun;  the  Earth’s  atmosphere,  surface  and   clouds;  and  space.     Ø  Es8mate  energy  levels  within  the   atmosphere  and  at  the  Earth’s  surface.       §  Lightning  Imaging  Sensor  (LIS)   Ø  Detects  and  locates  lightning  over  the   tropical  region  of  the  globe.    
  • 5. TRMM  ORBITS   http://trmm.gsfc.nasa.gov
  • 6. AVERAGE  RAINFALL  OF  PAST  3  DAYS   http://precip.gsfc.nasa.gov
  • 7. Rain  informa8on  from  Real-­‐Time  TRMM  Mul8-­‐Satellite  Precipita8on  Analysis    
  • 8. ASIA  Disaster  Watch   Early  May  2008  Cyclone  Nargis  at  Burma   •   Worst  natural  disaster  in  the   history  of  Burma   •   Deadliest  named  cyclone  in  the   North  Indian  Ocean  Basin   •   Category  4  cyclone(very  severe)     •   Landfall  on  May  2,  2008     •   Wind  speed:  132  mph     Rainfall   analysis   derived   from   TRMM's   Precipita,on   Radar   (PR)   and   TRMM   Microwave   Imager   instruments   (TMI)   overlaid  on  infrared  and  visible  images   from   TRMM's   Visible   and   Infrared   Scanner  (VIRS).    
  • 9. Flood  inunda,on  maps  of  Burma  as   tropical   cyclone   NARGIS   moved   in   from  Bay  of  Bengal  from  April  25  to   May  5,  2008   Cyclone  NARGIS  track   •   >1,38,000  death   •   >1  million  homeless   •   Damage:  $10  billion     http://earthobservatory.nasa.gov
  • 10. •   Flooding  and  landslides  due  to  heavy  rainfall   •   The  TRMM-­‐based,  near-­‐real  ,me  Mul,-­‐satellite  Precipita,on  Analysis  (MPA)  at  the  NASA           Goddard  Space  Flight  Center  monitors  rainfall  over  the  global  Tropics.     •   Rainfall  amounts  upwards  of  400  mm  (15.7  Inches)  are  shown  in  red  over  southern  Burma.    
  • 11. The   most   populous   division   and   most   affected   division   of   Burma,  Ayeyarwady   Near  landfall  on  Burma   Seen  from  MODIS  on  the  Terra   Satellite,  May2   The   low   lying   Irrawady   Delta   was   the  hardest  hit  region.   Eleva,on   data   is   based   on   NASA   Shu_le   Radar   Topography   Mission   (SRTM)   http://www.nasa.govhttp://en.wikipedia.org
  • 12. Homes  destroyed  in  the  city  of  Yangon,  Burma   An  aerial  view  of  destruc,on  caused  by  Nargis   People  devastated   Satellite  photography:  Before  and  Aaer  Nargis   http://earthobservatory.nasa.gov
  • 13. OBSERVATION  ON  May  5,  2008   •    Image   by   Moderate   Resolu,on   Imaging   Spectroradiometer   (MODIS)   sensors   on   NASA’s   Terra   and   Aqua   satellites.       •    Cloud-­‐free   observa,ons   to   get   the   clearest  possible  picture     •    Flooded   areas   are   blue,   ci,es   are   red,  and  tree  cover  appears  in  shades   of   green   (dense   tree   cover)   to   pale   yellow  (sparse  tree  cover)     •   Flooding  appears  to  be  more  intense   in  areas  with  fewer  trees       •   Cyclone  Nargis  flooded  about  14,402   square   kilometers   in   the   Irrawaddy   River  Delta  in  Burma    
  • 14. CONCLUSION   •  TRMM  observa8ons  helped  in  the  modeling  of  tropical  rainfall   processes  and  their  influence  on  global  circula8on  leading  to   beber  predic8ons  of  rainfall  and  its  variability  at  various  8me   scales.     •  Remote  sensing  techniques  are  used  to  measure  and  monitor   the  extent  of  flooded  areas  and  es8mate  the  amount  of  land   and  infrastructure  affected.    
  • 15.     THANK  YOU  !  
  • 16. QUESTIONS ?

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