INTERNATIONAL WORKSHOP ON THE DIGITIZATION OF HISTORICAL CLIMATE DATA, THE NEW SACA&D DATABASE AND CLIMATE ANALYSIS IN THE ASEAN REGION 02 -05 APRIL 2012.

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INTERNATIONAL WORKSHOP ON THE DIGITIZATION OF HISTORICAL CLIMATE DATA, THE NEW SACA&D DATABASE AND CLIMATE ANALYSIS IN THE ASEAN REGION APRIL 2012 CITEKO, BOGOR, INDONESIA SOETAMTO AKADEMI METEOROLOGI DAN GEOFISIKA, BMKG

OUTLINE 1. BACKGROUND 2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA 3. FLOOD ANALYSIS USED TRMM DATA 4. SPATIAL PATTERN TRMM Vs OBSERVE DATA 5. CONCLUSION REMARK.

1. BACKGROUND - OBSERVE DATA IS NOT QUITE DENSE. -TO ESTABLISH OBSERVE DATA FOR COVER ALL INDONESIAN AREA IS VERY EXPENSIVE. -UTILIZE OF DERIVATIVE DATA FROM REMOTE SENSING SYSTEM SUCH AS TRMM IS VERY USEFULL TO IMPROVE ANALYZE AND CLIMATE PREDICTION.

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA SUMATERA

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA JAWA

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA BALI,NTB, NTT

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA KALIMANTAN

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA SULAWESI

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA MALUKU

2. CHARACTERISTIC OF TRMM Vs OBSERVE DATA PAPUA

3. FLOOD ANALYSIS USE TRMM DATA FLOOD LOCATION OBSERVED DATA AT FLOOD LOCATION = 50 – 70 MM TRMM DATA AT FLOOD LOCATION = 100 – 300 MM TRMM DATA IS MORE RELIABLE THAN OBSERVE DATA.

3. FLOOD ANALYSIS USE TRMM DATA FLOOD LOCATION TRMM DATA AT FLOOD LOCATION = 150 – 200 MM TRMM DATA IS MORE RELIABLE THAN OBSERVE DATA. OBSERVED DATA AT FLOOD LOCATION = 50 – 75 MM

INTERPOLATION OF OBSERVE DATA ( 176 LOCATION ) vs TRMM DATA ( LOCATION ) 4. SPATIAL PATTERN TRMM Vs OBSERVE DATA -THE VALUE AT OBSERVE LOCATION IS ACCURATE BUT THE PATTERN IS LESS RELIABLE BECAUSE THE DATA IS NOT QUITE DENSE. - THE PATTERN OF TRMM DATA IS MORE DETAIL AND MORE RELIABLE, BUT THE VALUE MUST BE CORECTED.. WHICH ONE ACCURATE ?

5. CONCLUSION REMARK 1.THERE IS DISCREPANCIES BETWEEN VALUE OF TRMM DATA WITH OBSERVE DATA, THE DIFFERENCE IS NOT CONSTANT BOTH IN SPATIAL OR TEMPORAL. 2. IN GENERAL TRMM DATA UNDERVALUE COMPARE OBSERVE DATA, TEND OF DIFERENCE INCREASE APPROPRIATE WITH INCREASING VALUE OF THE DATA. 3. TRMM DATA IS VERY USEFULL FOR ANALYSES AREA WHICH NO OBSERVE DATA, ESPECIALLY FOR EXTREEM ANALYSES. 4. PATTERN OF SURFACE INTERPOLATION TRMM DATA IS MORE RELIABLE COMPARE OBSERVE DATA  TRMM DATA IS VERY USEFULL FOR IMPROVING ANALYSES AND CLIMATE PREDICTION. 5. ANALYSES AND CALCULATED CORRECTION FOR EVERY CERTAIN AREA MUST BE DONE TO IMPROVE MORE ACCURATE TRMM DATA.