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Satellite Meteorology – Derived Products for Disaster Monitoring at BMKG ANA OKTAVIA SETIOWATI RIRIS ADRIYANTO M. REZZA FERDIANSYAH ASRI SUSILAWATI ANDERSEN L.PANJAITAN (SATELLITE DATA MANAGEMENT SUBDIVISION - INDONESIA METEOROLOGICAL, CLIMATOLOGICAL AND GEOPHYSICAL AGENCY)
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1545 disaster monitoring at BMKG - virtuallab.bom.gov.au · CB detection –Bali Island (12 May 2012) Time: 13, 14 , 15, 16UTC FEW016 FEW016 FEW016CB FEW016CB Ngurah Rai Airport,

Jun 06, 2019

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Page 1: 1545 disaster monitoring at BMKG - virtuallab.bom.gov.au · CB detection –Bali Island (12 May 2012) Time: 13, 14 , 15, 16UTC FEW016 FEW016 FEW016CB FEW016CB Ngurah Rai Airport,

Satellite Meteorology – Derived Products for

Disaster Monitoring at BMKG

ANA OKTAVIA SETIOWATI RIRIS ADRIYANTO

M. REZZA FERDIANSYAH ASRI SUSILAWATI

ANDERSEN L.PANJAITAN (SATELLITE DATA MANAGEMENT SUBDIVISION -

INDONESIA METEOROLOGICAL, CLIMATOLOGICAL AND GEOPHYSICAL AGENCY)

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OUTLINE •  Overview of BMKG’s Meteorology Early

Warning System (MEWS) •  Satellite-derived products for meteorological-

related disaster events •  Conclusion •  Future challenges

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END  TO  END  SYSTEM  OF  METEOROLOGICAL  –CLIMATOLOGICAL  EARLY  WARNING  SYSTEM  

NOTE:  T  C  W  C  –  TROPICAL  CYCLONE    WARNING  CENTER  

User/  Airport  

PUBLIC  WEATHER  INFORMATION  :    -­‐  Flood  Poten+al  Forecast  -­‐  Tropical  Storm    -­‐  Strong    Wind/Pu9ng  Beliung    -­‐    Extreme  Rain  -­‐  Forest/Field  Fire  Forecast    -­‐  Wave    Height    

INTEGRATOR    MEWS  CLIENT  

3a  4a  

REGIONAL  CENTRE        MEWS  

3b  

4b  

CYCLONE  MONITORING  

T  C  W  C  -­‐  JAKARTA  

NWP    PRODUCT  (Data  Grib)  

2a  

WEATHERSATELITTE  

WEATHERRADAR  

2b  

TRANSMET  

1a  

AWOS  AWS  

SAT.  GSR  (8)  

-­‐ RADAR  (24)  

AWS/ARG  (157)  

1b  

METEO                                FRANCE        ARPEGE                          MODEL  BOM-­‐AUSTRALIA  

 

 

ACCESS-­‐T                      MODEL   CMSS  

0BSERVATION  DATA    

5a  

REGIONAL  GOVERNMENT    LEVEL.  I  dan  II  

MASS  MEDIA  /  ELECTRONIC  

INSTITUTION  INTERFACE  

PRESIDENT  

MARINE  MET.      WAVE  

 EARLY  WARNING  TROPICAL  STORM  

6a  

BNPB  

AVIATION  MET.    SIGMET  

STAMET  MARITIM  

STAMET.  PENERBANGAN  

ADPEL  /  KANPEL  

6a  

7a  

7a  

6a  

PUBLIC  WEATHER  INFORMATION  :    -­‐  Extreme  Rain    -­‐  Flood    Poten+al    -­‐  Strong    Wind/Pu9ng  Beliung    -­‐  Wave    Height    Forecast    -­‐  Tropical  Storm  

PROVINCE  GOVERMENT  

BPBD   REGIONAL  MASS  MEDIA/

ELECTRONIC  

INSTITUTION  INTERFACE  

5b  

6b  

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FOREST FIRE MONITORING

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Latest 10-Days Hotspot Count from MODIS

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Smoke Trajectory

 BMKG-­‐NOAA  Hysplit  Model  

10  m   1  m   Surface  Source  Height  :

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VOLCANIC ASH MONITORING

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Volcanic ash from Mt. Merapi Eruption Nov. 5, 2010 (6:00 to 11:00 pm LST)

Ø BTD [11µm-12µm] < -2 ; BTD [3.8µm-11µm] > 0 dan TVAP > 100

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Mt. Soputan Eruption, August 26, 2012 at 22.00 UTC

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Mt. Sinabung Eruption, September 14, 2013 at 20.00 UTC

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POTENTIAL HEAVY RAINFALL MONITORING

Page 13: 1545 disaster monitoring at BMKG - virtuallab.bom.gov.au · CB detection –Bali Island (12 May 2012) Time: 13, 14 , 15, 16UTC FEW016 FEW016 FEW016CB FEW016CB Ngurah Rai Airport,
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Cb-Cloud Detection

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CB detection –Bali Island (12 May 2012) Time: 13, 14 , 15, 16UTC

FEW016 FEW016 FEW016CB FEW016CB Ngurah Rai Airport, Denpasar-Bali

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Validation with METAR

FA

Cb exist No Cb exist

FC

FB FD

Cb exist

No Cb exist

Metar

Det

ectio

n

POD = FA / (FA+FC)

FAR = FB / (FA+FB)

N  =  24   METAR  Y   N  

DetecDon   Y   5   5  N   0   14  

POD = 50%

FAR = 0%

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Conclusion •  Geostationary satellites such as MTSAT can be used to observe

volcanic ash with high temporal resolution that is useful for aviation weather services in our region.

•  Potential heavy rainfall product from satellite data provide gap-filling information to BMKG’s forecasters at regions where lack of radar observation found. In line with this, we are now engaged of combining radar data to provide alert system of significant weather events to forecasters à next generation of Himawari 8/9 is expected to be able to enhance forecasting accuracy with its higher temporal and spatial resolution data

•  Satellite-derived Cb-detection using threshold and split windows technique is useful to support surface-based observation and forecasting of Cb existence for aviation stakeholders

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Future challenges for BMKG •  False alarms of volcanic-ash detection using MTSAT – need

further improvement of algorithm. •  Need improvement in the accuracy of potential heavy rainfall

detection with validation using near real-time observation data (e.g. Radar rainfall estimate, GSMaP products).

•  More satellite-derived products for aviation weather services (e.g. Turbulence, icing, wind-shear potential region) as one of BMKG’s prioriy to be developed in the near future.