Current Climate Trends in the Philippines
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Climate Trends in the Philippines ²
Presented by: Thelma A. Cinco
PAGASA
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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PAGASA-DOST PAGASA - Philippine Atmospheric, Geophysical and Astronomical Services Administration. The country’s national meteorological and hydrological services (NMHS) provider
MISSION: To provide weather, flood, climate and astronomical products and services to promote the people’s safety and wellbeing & contribute to national development Presidential Decree No. 78; December 1972 as amended by Presidential Decree No. 1149; August 1977
The Philippines, through the PAGASA, is a Member of the World Meteorological Organization (WMO), a specialized body of the United Nations. International workshop on the digitization of Historical Climate Data , PAGASA
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PAGASA-DOST’s Observation Facilities & Equipment 5 Regional Centers
NORTHERN LUZON (Tuguegarao)
NCR (Quezon City) SOUTHERN LUZON (Legaspi) VISAYAS (Mactan, Cebu)
MINDANAO (Cagayan de Oro)
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58 Synoptic stations 23 Agromet stations 80 Climat/Rain stations 69 AWS 10M wind mast 76 AWS 2M wind mast(ASTI) 75 ARG 381 total 6 Upper air stations 10 Doppler radars (2 under construction) 2 Marine buoys 5 Telemetered major river basins 3 Satellite receivers
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Highly Suceptable to Floodings and Inundation • Archipelago, composed of low lying small islands • 70% of cities and municipalities are coastal areas • Highly susceptible to flooding and storm surges
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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 2- 5, 2012, Indonesia
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Philippines has not been spared of the weather-related disasters due Storms, Typhoons and very intense rainfall
ST. BERNARD LANDSLIDE Feb 2006
Landslide :Ginsaugon, Feb 2006
TY Milenyo, Sept 2006 PAGASA
TY Reming (DURIAN) 2006
Typhoon Frank (Fengshen)
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June 21, 2008. (MV Princess of the Stars)
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How is global warming manifested in the Philippines?
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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 2- 5, 2012, Indonesia
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Philippines mean temperature Observed Mean Temperature Anomalies in the Philippines (1951-2010) Departures from 1971-2000 normal values 1
Difference ( C) from 1971-2000)
0.8 Annual mean temp
0.6
Smoothed series (5 year running mean)
0.4 0.2 0
-0.2
Period
-0.4
Rate
1981-2010 (last 30 yrs) 1951-2010 (60 years) Years
-0.6
- 0.0164 - 0.0108 C/year
Source: CAD/PAGASA/DOST
-0.8 1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
Year
An increase of 0.65°C from 1951-2010 (60 years)
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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 2- 5, 2012, Indonesia
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Maximum & Minimum Temperature
Rate of increase almost 3 times higher compared with the maximum temperature
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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 2- 5, 2012, Indonesia
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Trends in Extreme Daily Temperatures in the Philippines Period: (1951 – 2008)
Trend in the frequency of days with maximum temperature above the 1961-1990 mean 99th percentile
(Hot days). PAGASA
Trend in the frequency with minimum temperature above the 1961-1990 mean 99th percentile International workshop on the digitization of Historical (Warm nights)Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Trends in Extreme Daily Temperatures in the Philippines Period: (1951 – 2008)
Trend in the frequency with maximum temperature below the 1961-1990 mean 1st percentile
Cool Days PAGASA
Trend in the frequency with minimum temperature below the 1961-1990 mean 1st percentile International workshop on the digitization of Historical Climate Data , nights the new SACA&D Database and ClimateCold Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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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 2- 5, 2012, Indonesia
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Classification of Tropical Cyclones 1. Tropical depression - maximum sustained winds is from 45 to 63 kph; 2. Tropical Storm - maximum sustained winds is from 64 to 118 kph; 3. Typhoon – maximum sustained winds is greater than 118 kph.
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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 2- 5, 2012, Indonesia
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Tracks of Tropical Cyclones in the Western North s. Pacific Period: (1948-2010)
Tropical Cyclone Frequency using 1°x1° (1948-2010)
s.
Visited by an average 19 to 20 Tropical cyclones EVERY YEAR
Tracks of tropical cyclones that formed in the Western North Pacific (WNP) during the period 1948-2010 (1641 TC and 1154 or 70% entered or formed in the Philippine Area of Responsibly (PAR) (Data used: JMA Data set).
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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 2- 5, 2012, Indonesia
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Trends of the number of tropical cyclone in the Philippines Period: 1948-2010 Annual Number of Tropical Cyclones in the PAR Period: 1948-2010 40
Number of Tropical Cyclones Five-year running mean
30
Linear (Five-year running mean)
Number of Tropical Cyclones
35
y = -0.0223x + 20.124
25 20 15
10 5 0 1948
1953
1958
1963
1968
1973
*Cinco,T.A.,et
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1978 Year
1983
1988
1993
1998
2003
2008
al.(2006). Updating Tropical Cyclone the PAR., Phil., Met-Hydro Congress 2006. International workshop on the digitization ofclimatology Historical in Climate Data the new SACA&D Database and Climate Analysis in the ASEAN Region PAGASA April 2- 5, 2012, Indonesia
Map of the frequency of tropical cyclone per decade in the PAR Period: 1951-2010
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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 *Cinco,T.A.,et al.(2011). Updating Tropical Cyclone Climatology in the Philippines. PAGASA April 2- 5, 2012, Indonesia
Map of the frequency of tropical cyclone per decade in the Philippines
*Cinco,T.A.,et
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al.(2011). Updating Tropical Cyclone Climatology in the Philippines.
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Trends of the number of tropical cyclone in the Philippines with maximum sustained winds of 150 kph and above Number of Extreme Typhoon (150 kph and above) Period: 1971-2010 12 Mean= 5.7 or 6 TCs
Frequency of TC
10
Neutral year El Niño year La Niña year
(10), 2004 9, 1987
8
6
4
2
0
1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 Year
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Monthly frequency of T.C. entering the PAR and crossing the Philippines Period: 1948-2010 250
Number of TropicalCyclones
Number of Landfalling TC's 200
Number of non-Landfalling TC's
80
67
150
77 88
100 87 46 50
0
126
130
30 10 17
6 13
9 9
18 11
34
Jan
Feb
Mar
Apr
May
0.5
0.3
0.3
0.5
71
48
Jun
47
111
Jul
Aug
Sep
3.3
3.1
Oct
44
36
Nov
Dec
Monthly
Mean
PAGASA
1.1
1.6
3.4
2.7
2.2
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1.4
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Tropical cyclone statistics in PH DISASTROUS TROPICAL CYCLONE
DISASTROUS TROPICAL CYCLONE
(TOTAL DAMAGE PHP 1 BILLION OR MORE) PERIOD:1970-2010
Number of Casualties > 300
TC NAME
Date of Occurrence
TY_PEPENG (Parma) TY PEDRING TY FRANK (Fengshen) TY JUAN (Megi) TS_ONDOY (Ketsana) TY_RUPING
Sep 30 - Oct 10 2009 SEP 24- 28, 2011 Jun 18 – 23, 2008 Oct16 – 21, 2010 Sep 24 – 27, 2009 NOV 8-14, 1990
Total damage in Billion PhP 27.296722 15.552000 13.500000 11.500000 10.952198 10.846000
Increasing cost of Damage
TC NAME
Date of Occurrence
TS Uring * TS Sendong (Washi) * TY Nitang TY Trix TY Amy TY Rosing
Nov 1-6, 1991 Dec 15-17, 2011 Aug 31 – Sep 4, 1984 Oct 17-23, 1952 Dec 6-11, 1951 Oct 30-Nov 4, 1995
Casualti es 5101 1268 1029 995 991 936
*The passages of TS Uring and TS Sendong were characterized by flashfloods.
MAXIMUM RAINFALL OF A TC
MAXIMUM GUSTINESS OF A TC
Maximum 24-hour rainfall (mm)
Date of Occurrence
TY Feria
1085.8 (Baguio)
July 4, 2001
Oct 21, 1998
TY Iliang
994.6(Baguio)
Oct 14, 1998
280 (Virac)
Nov 27, 1981
TY Trining
979.4 (Baguio)
Oct 17, 1967
TY Sening
276 (Virac)
Oct 13, 1970
TY Susang
781.4 (Baguio)
Oct 11, 1974
TY Wening
269 (Aparri)
Oct 27, 1974
TY Trining
760.0 (Baguio)
Oct 27, 1991
TY Trining
269 (Masbate)
Dec 15, 1987
TY Ditang
730.3(Baguio)
May 15, 1980
Maximum Wind (kph)
Date of Occurrence
TY Reming
320 (Virac)
Nov 30, 2006
TY Loleng
287 (Virac)
TY Anding
TC NAME
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TC NAME
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Observed24-hour rainfall – 455mm PAGASA
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Trends in Extreme Daily Rainfall Intensity in the Philippines Period: (1951 – 2008)
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IMPACTS OF ENSO ON PHILIPPINE RAINFALL
Legend: Severe drought impacts Drought impacts with major losses Moderate drought impacts Near normal to above normal condition Way above normal condition Potential for flood damage flood International the digitization of Historical , RED colored years are EL NINO years, BLUE workshop coloredonyears are LA NINA Climate Data Severe the new SACA&D Database and Climate Analysis in the ASEAN Region damage years and BLACK colored years are NON_ENSO years PAGASA April 2- 5, 2012, Indonesia PAGASA
Monthly Mean Rainfall Distribution Neutral
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El Niño
La Niña
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Monthly Rainfall Average by Climate Type Mean Monthly Rainfall (mm) for Legazpi City Type II
1200.0
800.0
1000.0
700.0
Rainfall Amount (mm)
Rainfall Amount (mm)
Mean Monthly Rainfall (mm) for Baguio City(Type I)
800.0 600.0 400.0 200.0 0.0
600.0 500.0 400.0 300.0 200.0 100.0
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
0.0
NORMAL 7100 12.1 11.7 29.3 92.3 354.7 436.4 838.4 911.8 581.0 461.8 124.6 23.7
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Neutral
16.1 14.6 40.3 99.9 354.4 459.6 777.1 907.4 639.6 258.1 162.6 20.1
NORMAL 7100 321.9 209.8 185.0 163.0 169.9 259.8 279.0 236.1 261.6 353.8 486.3 563.1
El niño
10.2 6.6 16.1 46.4 265.2 489.41025.7 847.0 567.7 364.3 64.0 24.0
Neutral
285.2 187.2 191.7 142.4 184.2 248.4 251.2 252.4 283.5 375.9 426.4 422.0
La Niña
13.6 26.6 45.4 126.8 373.8 460.9 476.4 819.1 537.2 603.2 157.8 37.8
El niño
245.4 119.3 122.2 105.4 126.9 223.2 284.8 252.3 252.5 226.2 420.1 419.4
La Niña
407.2 290.7 267.7 235.8 212.1 225.0 229.2 253.5 233.2 351.7 578.8 714.8
Mean Monthly Rainfall (mm) for Dumaguete (Type III)
Mean Monthly Rainfall (mm) for Davao City (Type IV) 800.0
700.0 Rainfall Amount (mm)
Rainfall Amount (mm)
800.0
600.0 500.0 400.0 300.0 200.0 100.0 0.0
700.0 600.0 500.0 400.0 300.0 200.0 100.0
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
0.0
NORMAL 7100 80.2 54.5 41.6 48.6 70.5 122.5 116.3 110.1 141.5 168.5 142.6 103.6
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
NORMAL 7100 124.8 99.8 92.3 141.1 176.5 207.7 148.1 181.0 184.3 178.3 135.3 103.5
Neutral
84.8 64.5 60.2 35.6 70.0 135.8 136.1 94.5 112.7 152.7 148.2 120.7
EL NINO
43.0 24.2 13.9 17.8 50.2 103.1 122.3 122.2 104.1 136.8 109.1 83.4
Neutral
114.9 80.8 66.4 91.9 125.6 164.6 134.0 137.2 177.9 206.6 214.4 136.2
El niño
87.0 67.2 45.4 80.7 203.2 220.9 155.2 155.3 171.7 182.0 133.2 79.3
La Niña
153.1 109.1 120.7 166.3 186.7 177.9 182.6 197.6 201.5 165.5 135.0 132.0
LA NNA
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135.3 123.5 99.6 134.1 184.1 182.4 171.3 164.0 161.0 169.1 153.7 124.1
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Climate Trends in Manila
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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 2- 5, 2012, Indonesia
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Manila Annual Mean Temperature (°C) Manila (1901 - 2010) 30.0 29.5
Annual Mean Temperature 5-year moving average Linear (5-year moving average)
Mean Temperature (°C)
29.0 28.5 28.0 27.5 27.0 26.5
y = 0.0201x + 26.513
26.0 25.5
2009
2004
1999
1994
1989
1984
1979
1974
1969
1964
1959
1954
1949
1936
1931
1926
1921
1916
1911
1906
1901
25.0
YEAR
An increase of 2.21 C from 1901-2010 (110 years) PAGASA
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Manila Comparison of the 30-years average of MeanTemperature for Manila 28.5
Tempearutre°C
28.0 27.5 27.0
26.5 26.0 Manila
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1901-1930
1911-1940
1951-1980
1961-1990
1971-2000
1981-2010
26.9
27.2
27.6
27.8
28.2
28.3
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Manila Rainfall Anomaly in Manila Period: 1865-2010 (depature from 1971 to 2000 normal values) 2000
Rainfall Anomaly (from 1971-2000) 1500
Rainfall Amount (mm)
5 yr moving ave 1000
Linear (5 yr moving ave) 500 0 -500
-1000
1865 1870 1875 1880 1885 1890 1895 1900 1905 1910 1915 1920 1925 1930 1935 1940 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
-1500
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Manila Comparison of 30 years Average Mean Rainfall for Manila 2500 2000 1500 1000 500
0 1901-1930
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1911-1940
1951-1980
1961-1990
1971-2000
1981-2009
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Mean Monthly Rainfall (mm) for Manila Rainfall Amount (mm)
600.0 500.0 400.0 300.0 200.0 100.0 0.0
PAGASA
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
NORMAL 7100
19.0
7.9
11.1
21.4
165.2
265.0
423.2
486.0
330.7
270.9
129.6
75.3
Nuetral
14.1
9.1
14.4
19.8
152.8
265.5
382.0
494.7
335.3
223.7
111.5
56.6
EL NINO
15.4
5.8
4.4
5.3
101.5
226.5
576.1
429.8
375.9
169.7
89.3
47.8
LA NNA
21.8
13.8
15.8
39.1
187.1
313.4
293.3
430.6
389.4
276.7
175.4
89.2
International workshop on the digitization of Historical Climate Data , the new SACA&D Database and Climate Analysis in the ASEAN Region April 2- 5, 2012, Indonesia
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Tracking the sky…helping the country
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