shiro ochi asian institute of technology(ait)/jaxa...2019/02/07 · 7 early warning using gsmap...
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International/Regional Framework for Disaster Response using Satellite Data
Shiro Ochi
Asian Institute of Technology(AIT)/JAXA
Japan Aerospace Exploration Agency
THEOS
KOMPSAT
ISRO
KARIGISTDA
NARLabs
FORMOSAT
Sentinel Asia
Collaboration
XSAT
CRISP
RESOURCESAT-2, CARTOSAT-1&2, RISAT-1
ALOS-2
KIBO HDTV-EF
JAXA
THEOS
VAST
VNREDSat
Data Provider Node (DPN)8 space agencies in Asia
UAEDUBAISAT
Initiation Flow for Emergency Observation SA & Charter
International Disaster CharterInternational Disaster Charter
interfaceinterface
LandsatLandsat
DMC ConstellationDMC Constellation
ODO
ECOECO CSACSA
ESAESA
CNESCNES
NOAANOAA
ISROISRO
PMPM
VVAARR
CONAECONAE
JAXAJAXA
USGSUSGS
DMCDMC
ALOS
SACSAC--CC
RADARSATRADARSAT--11
ERSERS--2 2 and and
ENVISATENVISAT
IRSIRS
SPOTSPOT
ADRCADRC
DisasterDisaster
JPT memberJPT member
ADRC memberADRC member
Sentinel AsiaSentinel Asia
SA SA
activationactivation
End UserEnd UserEnd User
DPN
DATADATA
ProductProduct
DANDAN
RequestRequest
DataDataRequestRequest
ISROISRO
JAXAJAXA
GISTDAGISTDA
International Disaster CharterInternational Disaster CharterInternational Disaster CharterInternational Disaster Charter
interfaceinterfaceinterfaceinterface
LandsatLandsat
DMC ConstellationDMC Constellation
ODO
ECOECO CSACSA
ESAESA
CNESCNES
NOAANOAA
ISROISRO
PMPM
VVAARR
CONAECONAE
JAXAJAXA
USGSUSGS
DMCDMC
ALOS
SACSAC--CC
RADARSATRADARSAT--11
ERSERS--2 2 and and
ENVISATENVISAT
IRSIRS
SPOTSPOT
LandsatLandsat
DMC ConstellationDMC Constellation
ODO
ECOECO CSACSA
ESAESA
CNESCNES
NOAANOAA
ISROISRO
PMPM
VVAARR
CONAECONAE
JAXAJAXA
USGSUSGS
DMCDMC
ALOS
SACSAC--CC
RADARSATRADARSAT--11
ERSERS--2 2 and and
ENVISATENVISAT
IRSIRS
SPOTSPOT
LandsatLandsat
DMC ConstellationDMC Constellation
ODO
ECOECO CSACSA
ESAESA
CNESCNES
NOAANOAA
ISROISRO
PMPM
VVAARR
CONAECONAE
JAXAJAXA
USGSUSGS
DMCDMC
ALOS
SACSAC--CC
RADARSATRADARSAT--11
ERSERS--2 2 and and
ENVISATENVISAT
IRSIRS
SPOTSPOT
ADRCADRCADRCADRCADRCADRC
DisasterDisasterDisasterDisaster
JPT memberJPT member
ADRC memberADRC member
JPT memberJPT member
ADRC memberADRC member
JPT memberJPT member
ADRC memberADRC member
Sentinel AsiaSentinel AsiaSentinel AsiaSentinel Asia
SA SA
activationactivation
End UserEnd UserEnd User
DPN
DATADATA
ProductProduct
DANDANDANDANDANDAN
RequestRequest
DataDataDataDataRequestRequestRequestRequest
ISROISRO
JAXAJAXA
GISTDAGISTDA ISROISRO
JAXAJAXA
GISTDAGISTDA ISROISRO
JAXAJAXA
GISTDAGISTDA
Japan Aerospace Exploration Agency
Types of Disasters in SA
Flood LandslideVolcano Eruption TyphoonCyclone EarthquakeTsunami FireOthers
The number of Sentinel Asia activationsfrom 2007 to 2017.
82%
Flood
Landslide
TyphoonCyclone
Interactive Data Platform
7
Early Warning Using GSMaP
GSMaP (Global) observed Hurricane Patricia and Olaf, and Typhoon Champi: 20-24 Oct. 2015, hourly animation
• Rapidly changing precipitation phenomena need frequent observations.
• Global rainfall map merging GPM Core Observatory, polar orbitingmicrowave radiometer/sounders, and geostationary infrared radiometers.
JAXA Global Rainfall Watch (4-hr delay) : http://sharaku.eorc.jaxa.jp/GSMaPJAXA Realtime Rainfall Watch (Himawari-area): http://sharaku.eorc.jaxa.jp/GSMaP_NOW
“GSMaP_NOW” over “Himawari-8” area
PatriciaOlaf
Champi
Realtime Rainfall Watch(GSMaP_NOW)
Global Rainfall Watch (GSMaP_NRT/MVK)
We have started to release hourly global rainfall data (0.1x0.1deg. lat/lon) in near real time (about four hours after observations) and visualize the latest data quickly.
Global Rainfall Map(GSMaP_NRT)
produced 4 hoursafter observation and updated every hour
http://sharaku.eorc.jaxa.jp/GSMaP/
Multi-Satellite Rainfall Product by JAXA (GSMaP)
Internet access• Images & Movies• Google Earth files• Data download
TRMM/TMI
Aqua/AMSR-E DMSP/SSM/I
GEO IR
Global Satellite Mapping of Precipitation (GSMaP)
P9
Improved NRT-basis Gauge-adjusted GSMaP product (v6)
Improved NRT-basis Gauge-adjusted GSMaP product (v6) was open to the public since mid-Dec. 2018.
Correction coefficients are calculated using past 30 days.We reprocessed past 18yr data record (since Mar. 2000)
Validations with reference to the JMA radar around Japan show smaller RMSEs in this new product than the current NRT (no gauge-correction).
NRT (no gauge correction)Improved NRT-Gauge
NRT (no gauge correction)Improved NRT-Gauge
Correlation CoefficientsRoot mean square errors (RMSEs)
date date
Better
Better
GSMaP-NOW Monitoring for Southern Thailand Flash Flood on 8-9 NOV 2018
24-hour precipitation
Water Level
Hourly Precipitation
Observed Water Level and Hourly
Precipitation at KhlongKhanan District
Station, Prachuap KhiriKhan Province
1-hour precipitation
Hourly Updated GSMaP-NOW
P11
UNESCO Pakistan Project for Predicting Floods
Under UNESCO-IHP project, JAXA, ICHARM and Pakistan Meteorological Department (PMD) to develop operational flood analysis system.After calibration of GSMaP product with ground-based stations in Pakistan, correlation coefficients are increased from 0.5 to 0.7, and can be used in the Indus Integrated Flood Analysis System (Indus-IFAS) developed by ICHARM.The Indus-IFAS system is now in operation by the PMD, and a plan to extend the system to eastern river area is now underway.
11Example of Indus-IFAS in Pakistan (Image
provided by ICHARM)
Rainfall by GSMaP Indus_IFAS:River discharge output using GSMaP(increasing as rainfall in upper stream increased)
INPUT
Before Flood
During Flood
Discharge of main river is normal (green) before flood
(Area within red line is Indus river basin) Discharge of main river is largely increased (red)
during flood
P12
Landslide Early Warning System in PhilippineCollaboration with JAXA and Philippine Institute of Volcanology and Seismology (PHIVOLCS)-DOST as “Sentinel Asia Success Story in the Philippines” project since 2009.Application of GSMaP for Landslide Warning has been studied in this project.
The system monitors of real-time GSMaP rainfall data, and analysis using RBFN Models. When monitoring area become landslide danger by rainfall, the system alerts warning message by e-mail.
Introduction to Kalu River Basin
• Discharge to the sea annually 4500 MCM
• Length 129km• Catchment area 2839 km2• Much vulnerable for floods
RRI model development using Bias corrected rainfall (Example: 2017/05/25)
16
Thank you for your attention.
©JAXA/NASA
Thank you very much!
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