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Climate Change andClimate Trends & Projections
in the Philippines
Presented by:
Vivien S. Esquivel
PAGASA-DOST
TEACHERS’ TRAINING ON CLIMATE CHANGESouth Central School
San Fernando City, La UnionOctober 25, 2012
Contents
What is global warming?• Global warming refers to the increase in the earth’s
mean temperature due to the so-called enhanced greenhouse effect.
Strong Strong temperature temperature increase since increase since 1975 1975 (unprecedented)(unprecedented)
global average air global average air temperature temperature increased by 0.74°C increased by 0.74°C from 1906 to 2005from 1906 to 2005
4
“Change in the climate is attributed directly or attributed directly or indirectly to human indirectly to human activitiesactivities , in addition to natural climate variability observed, over a comparable time periods” - United Nations Framework Convention on Climate Change (UNFCCC)
What is climate change?
A diagram of the natural greenhouse effect on earth, where the Earth's temperature is kept constant to support life.
A diagram showing how additional greenhouse gases trap more heat in the Earth’s atmosphere and raises the temperature.
The Sun’s energy passes through the car’s windshield.
This energy (heat) is trapped inside the car and cannot pass back through the windshield, causing the inside of the car to warm up.
Example of the Greenhouse Effect
CARBON DIOXIDE - Burning of Fossil Fuels(Oil,Coal) by Powerplants, Industries and Vehicles
Man-Made Sources of Greenhouse Man-Made Sources of Greenhouse GasGas
Carbon dioxide
Energy GenerationIndustrial Processes
Transportation
Methane - Decomposition of Garbage and Agricultural Waste Materials, Leaks in Coal Mining and Natural Gas Production
Accounts for 20% of additional greenhouse effects
Man-Made Sources of Greenhouse Man-Made Sources of Greenhouse GasGas
Methane
Land Use: Agriculture & Forestry
Nitrous Oxide:
• Bacterial Breakdown of Nitrogen in Soils and Oceans• Use of Nitrogen Fertilizer and Pesticides in Agriculture• Biomass Burning • Combustion Process of Vehicles
Man-Made Sources of Greenhouse Man-Made Sources of Greenhouse GasGas
Nitrous oxides
Hydrofluorocarbons (HFCs)Hydrofluorocarbons (HFCs)
Perfluorocarbons (PFCs)Perfluorocarbons (PFCs)
Sulfur hexafluoride (SF6)Sulfur hexafluoride (SF6)
Man-Made Sources of Greenhouse Man-Made Sources of Greenhouse GasGas
Hydrofluorocarbons
Is the Climate Changing?
Key findings of the IPCC (International Panel on Climate Change) Fourth Assessment Report:
“Warming of the climate system is unequivocal”
Warming of the climate system
Increasing in global average air and ocean temperatures
Rising global average sea level
Reductions of snow and ice
Warmest 12 years on record
IPCC Conclusions
What are the impacts of Climate Change on various socio-economic
sectors?
Agriculture and food security– Added heat stress, shifting monsoons, drier soils and
water shortages as a result of higher temperatures will affect livestock and crop production patterns with expanded range of weeds, insects and diseases which may reduce global food supplies and contribute to higher food prices.
Impacts of Climate Change
Impacts of Climate Change
WILL DIRECTLY THREATEN FOOD SECURITY, ESPECIALLY SINCE THE PHILIPPINES HAS ONE OF THE HIGHEST POPULATION GROWTH
Impacts of Climate Change
Decline of 29% - 60% in agricultural yield
- Extreme temperatures can directly cause the loss of life (ex: 35,000 people died during heat wave in Europe, Aug‘03.)
.
Impacts of Climate ChangeOn Health
- Extreme temperatures can directly cause the loss of life (ex: 35,000 people died during heat wave in Europe, Aug‘03.)
.
Impacts of Climate ChangeOn Health
Global Warming increases drought which lessens the supply of clean drinking water.
• Cholera It increases temperature
providing an ideal breeding environment for mosquitoes.
• Dengue fever• Malaria• Yellow fever
Impacts of Climate ChangeOn Health
Impacts of Climate Change
Impacts of Global Warming• Severe Drought• Reduction in agricultural production enhancing poverty and
food shortage• Ground water depletion due to excessive ground water
extraction• Dwindling water resources • Flooding both in riverine area and flash floods from in hill
torrents. • Threat to aquatic life and migratory birds• Reduced hydro power generation result to more emphasis
on fossil fuel.• Sea level Rise
Observed24-hour rainfall – 455mm
The Philippines has not been spared of the weather-related disturbances and disasters. The Philippines has not been spared of the weather-related disturbances and disasters. The past typhoons have been unusually devastating to our country and our people. The past typhoons have been unusually devastating to our country and our people.
TY Reming (DURIAN) 2006
Typhoon Frank (Fengshen)
June 21, 2008. (MV Princess of the Stars)TY Milenyo, Sept 2006
Landslide :Ginsaugon, Feb 2006
ST. BERNARD LANDSLIDE
Feb 2006
How vulnerable is the Philippines?
Highly Susceptible 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
Rank Countries1 Bangladesh2 Burma3 Honduras4 Vietnam5 Nicaragua6 Haiti7 India8 Dominican Republic9 Philippines
10 China
Top Ten Countries vulnerable to the impacts of Climate Change (2008-2009). http://www.aneki.com
“Of all the nations in the world, the Philippines has experienced the most number of natural hazards in the 20th century. China, the USA in third position”. Kovach, R.L. 1995. Earth’s Fury” An introduction to natural hazards and disaster. Prentice Hall, NJ, USA.
E.C. Godilano, Ph.D.
www.cdrc-phil.com
2009 Source: CRED Crunch, Issue No. 19,
WorldRisk Report 2011UNU-EHS: United Nation UniversityInstitute of Environment and Human SocietySource: WorldRiskReport.org
WorldRisk Report 2011UNU-EHS: United Nation UniversityInstitute of Environment and Human SocietySource: WorldRiskReport.org
How is global warming manifested in the
Philippines?
In the Philippines, there already are trends of increasing number of hot days and warm nights, but decreasing number of cold days and cool nights. Both maximum and minimum temperatures are generally getting warmer.
Other extreme weather/climate events like intense rains have been seen to be more frequent.
What are the manifestations/signals of global warming in the local scale?
Observed Mean Temperature Anomalies in the Philippines (1951-2010) Departures from 1971-2000 normal values
An increase of 0.648°C from 1951-2010 (60 years)
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
Diff
eren
ce (�C
) fro
m 1
971-2
000)
Year
Annual mean temp
Smoothed series (5 year running mean)
Source: CAD/PAGASA/DOST
Period Rate1981-2010 (last 30 yrs) - 0.0164 1951-2010 (60 years) - 0.0108
Years � C/year
Philippine mean temperature
Rate of increase almost 3 times higher compared with the maximum temperature
Maximum & Minimum Temperature
Trend in the frequency of days with maximum temperature above the 1961-1990 mean 99th percentile (Hot days).
Trend in the frequency with minimum temperature above the 1961-1990 mean 99th percentile (Warm nights)
Trends in Extreme Daily Temperatures in the PhilippinesPeriod: (1951 – 2008)
Trend in the frequency with maximum temperature below the 1961-1990 mean 1st percentileCool Days
Trend in the frequency with minimum temperature below the 1961-1990 mean 1st percentile Cold nights
Trends in Extreme Daily Temperatures in the PhilippinesPeriod: (1951 – 2008)
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)
Visited by an average of19 to 20 TYPHOONS
EVERY YEAR
s.
Tracks of Tropical Cyclones in the Western North PacificPeriod: (1948-2010)
1951-1980 1961-1990 1971-2000 2081-2010
19.8 20.2 19.5 18.8
18.0
18.5
19.0
19.5
20.0
20.5
Num
ber
of T
ropi
cal C
yclo
nes
30 years Mean No. of T.C.
Comparison of 30-year mean number of Tropical Cyclone in the Philippines
1981-2010
Comparison of 30-year mean of T.C.
*Cinco,T.A.,et al.(2011). Updating Tropical Cyclone Climatology in the Philippines.
Map of the frequency of tropical cyclone per decade in the Philippines
o In most parts of the country, the intensity of rainfall is increasing but not all are statistically significant.
o Only in Baguio, Tacloban and Iloilo shows statistically significant increase in rainfall intensity.
Trends in the Extreme Rainfall Intensity Philippines*
(1951 – 2008)
oMost parts of the country are generally increasing in trend but not all are significant.
oOnly in Calapan, Laoag, Iloilo and Tacloban shows statistically significant increasing trend.
oWhile significantly decreasing trend is found in Palawan.
Trends in the Frequency of Extreme Daily Rainfall in the Philippines*
(1951 – 2008)
1°C 2°C 5°C4°C3°C
Sea level rise threatens major cities
Falling crop yields in many areas, particularly developing regions
FoodFood
WaterWater
EcosystemsEcosystems
Risk of Abrupt and Risk of Abrupt and Major Irreversible Major Irreversible ChangesChanges
0°C
Falling yields in many developed regions
Rising number of species face extinction
Increasing risk of dangerous feedbacks and abrupt, large-scale shifts in the climate system
Significant decreases in water availability in many areas, including Mediterranean and Southern Africa
Small mountain glaciers disappear – water supplies threatened in several areas
Extensive Damage to Coral Reefs
Extreme Extreme Weather EventsWeather EventsRising intensity of storms, forest fires, droughts, flooding and heat waves
Possible rising yields in some high latitude regions
Above +Above +2ºC impacts will be large2ºC impacts will be large
DEVELOPING CLIMATE CHANGE SCENARIO FOR THE PHILIPPINES
1A.48
• To provide data for impact/adaptation assessment studies;
• To aid in strategic planning and/or policy formation;
• To structure our knowledge (or ignorance) of the future;
• Since precise forecasts of future climate is not possible, an alternative approach is to construct Climate Scenarios.
Why do we need climate scenarios?
DownscalingProcess of generating higher resolution data or climate change information from relatively coarse resolution GCMs relevant for
adaptation and policy
Prepared by Elaine Barrow, CCIS Project
300k
m
50km
10km
1m
Poin
tGlobal Climate Models supply...
Impact models require ...
Because there is a mismatch of scales between what climate models can supply and what environmental impact models require.
What is downscaling and why do we need to downscale?
Representation of the Philippines in different model resolution
25 km 50 km 300 km
Storyline Description
A1 Very rapid economic growth; population peaks mid-century; social, cultural and economic convergence among regions; market mechanisms dominate. Subdivisions: A1FI – reliance on fossil fuels; A1T – reliance on non-fossil fuels; A1B – a balance
across all fuel sources A2 Self-reliance; preservation of local identities; continuously increasing population;
economic growth on regional scales B1 Clean and efficient technologies; reduction in material use; global solutions to
economic, social and environmental sustainability; improved equity; population peaks mid-century
B2 Local solutions to sustainability; continuously increasing population at a lower rate than in A2; less rapid technological change than in B1 and A1
Emission Scenarios
Climate Projection for the Philippines
(2020,2050 & 2100)
Projected Change in annual mean temperature Medium-range Emission A1B Scenario
Dry seasons becoming drier.
Wet seasons becoming wetter.
Medium-range Emission Scenario
2020 2050
Dec-Jan-Feb (DJF) -0.4 to 54.3 % -0.1 to-25.1-%
Mar-Apr-May (MAM) -0.2 to -33.3% -1.4 to -39.8%
Jun-Jul-Aug (JJA) -0.4 to 43.1% -0.7 to 72.5%
Sep-Oct-Nov (SON) -0.4 to 30.0% -0.5 to 39.0%
Projected Change in Seasonal Mean Rainfall(%)
Heavy daily rainfall (exceeding 300mm) events will continue to increase in number in Luzon, Visayas & eastern sections of the country.
Frequency of Extreme Rainfall
hot temperatures (indicated by the number of days with maximum temperature exceeding 35 °C) will continue to become more frequent.
Frequency of Extreme
Temperature
Climate Change in the Philippines
Climate Projections in 2020 and 2050 in Provinces in Region I
The projected seasonal temperature increase, seasonal rainfall change and frequency of extreme events in 2020 and 2050 under the medium-range emission scenario in the provinces in Region 1 are presented in Table a, Table b and Table c, respectively. To use the tables and arrive at values of seasonal mean temperature and seasonal rainfall in 2020 and 2050 in any of the provinces, the projections are added to the observed values (presented in each of the tables). For example, in Pangasinan, the projected values in 2020 are:•DJF mean temperature = (25.0 °C + 0.9 °C) = 25.9 °C;•DJF rainfall = {19.4mm+19.4(54.3%)mm} = (19.4+10.5)mm or 29.9mm;•number of days with Tmax > 35 °C in Dagupan City during the 2006-2035 period (centered at 2020) = 2,265;•number of dry days in Dagupan City during the 2006-2035 period (centered at 2020) = 6,443; and•number of days with rainfall > 300mm in Dagupan City during the 2006-2035 period (centered at 2020) =13.
Table a: Seasonal temperature increases (in oC) in 2020 and 2050 under medium-range emission scenario in provinces in Region I
Table b: Seasonal rainfall change (in %) in 2020 and 2050 under medium-range emission scenario in provinces in Region I
OBSERVED BASELINE (1971-2000) CHANGE in 2020 (2006-2035) CHANGE in 2050 (2036-2065)
DJF MAM JJA SON DJF MAM JJA SON DJF MAM JJA SON
Region 1
ILOCOS NORTE 25.3 28.1 28.3 27.4 0.8 1.0 0.8 0.9 2.1 2.2 1.7 1.8
ILOCOS SUR 23.1 25.7 25.4 24.8 0.9 1.1 0.8 1.0 2.0 2.1 1.6 1.8
LA UNION 20.5 22.9 22.8 22.2 0.9 1.1 0.7 1.0 2.0 2.1 1.6 1.8
PANGASINAN 25.0 27.4 26.9 26.4 0.9 1.1 0.9 1.0 2.2 2.2 1.8 2.0
OBSERVED BASELINE (1971-2000)
mm CHANGE in 2020 (2006-2035) CHANGE in 2050 (2036-2065)
DJF MAM JJA SON DJF MAM JJA SON DJF MAM JJA SON
Region 1
ILOCOS NORTE 49.8 185.5 1106.4 595.4 4.4 -3.1 18.0 5.8 -18.8 -31.3 20.9 4.7
ILOCOS SUR 17.5 288.8 1575.4 672.9 -4.6 -2.0 36.3 23.0 -0.1 -27.6 58.1 33.3
LA UNION 14.7 395.6 1852.3 837.8 -0.4 4.5 43.1 30.0 -1.1 -24.6 72.5 39.0
PANGASINAN 19.4 298.0 1608.9 707.8 54.3 -6.0 6.1 5.9 1.1 -11.2 22.9 11.9
Table b: Seasonal rainfall change (in %) in 2020 and 2050 under medium-range emission scenario in provinces in Region 1
Table c: Frequency of extreme events in 2020 and 2050 under medium-range emission scenario in provinces in Region I
Provinces StationsNo. of Days w/ Tmax >35 °C No. of Dry Days
No. of Days w/ Rainfall >300mm
OBS (1971-2000) 2020 2050 OBS 2020 2050 OBS 2020 2050
ILOCOS NORTE Laoag 801 1677 3157 9015 7391 7425 4 19 10
ILOCOS SUR Vigan 110 130 627 8728 8105 7939 1 17 6
PANGASINAN Dagupan 1280 2265 3728 8303 6443 6419 2 13 20
Climate Projections in 2020 and 2050 in Provinces in CAR (Cordillera Administrative Region)
The projected seasonal temperature increase, seasonal rainfall change and frequency of extreme events in 2020 and 2050 under the medium-range emission scenario in the provinces in CAR are presented in Table a, Table b and Table c, respectively. To use the tables and arrive at values of seasonal mean temperature and seasonal rainfall in 2020 and 2050 in any of the provinces, the projections are added to the observed values (presented in each of the tables). For example, in Benguet, the projected values in 2020 are:DJF mean temperature in 2020 = (19.4 C+1.0 C) = 20.4 °C;DJF rainfall = {47.7mm+47.7(8.0%)mm} = (47.7+3.8)mm or 51.5mm;no. of days with Tmax > 35 C in Baguio City during the 2006-2035 period (centered at 2020) = 0;no. of dry days in Baguio City during the 2006-2035 period(centered at 2020) = 5,320; andno. of days with rainfall > 300mm in Baguio City during the 2006-2035 period (centered at 2020) = 39.
Table a: Seasonal temperature increases (in °C) in 2020 and 2050 under medium-range emission scenario in provinces in CAR
OBSERVED BASELINE (1971-
2000)CHANGE in 2020 (2006-
2035)CHANGE in 2050 (2036-
2065) DJF MAM JJA SON DJF MAM JJA SON DJF MAM JJA SONCAR ABRA 24.5 27.4 27.2 26.4 0.8 1.0 0.8 0.9 2.0 2.1 1.6 1.9 APAYAO 24.8 28.0 28.4 27.1 0.8 0.9 0.9 0.8 1.9 2.1 1.9 1.8 BENGUET 19.4 21.9 22.0 21.2 0.9 1.0 0.8 1.0 2.0 2.1 1.7 1.9 IFUGAO 22.2 25.6 25.8 24.5 0.9 0.9 0.9 0.9 1.9 2.1 2.0 1.9 KALINGA 23.8 27.5 27.7 26.1 0.8 0.9 0.9 0.8 1.9 2.1 2.0 1.9
MOUNTAIN PROVINCE
22.7 26.0 26.1 24.9 0.9 0.9 0.9 0.9 1.9 2.1 1.9 1.9
OBSERVED BASELINE (1971-
2000) mmCHANGE in 2020 (2006-
2035)CHANGE in 2050 (2036-
2065) DJF MAM JJA SON DJF MAM JJA SON DJF MAM JJA SONCAR ABRA 43.5 220.6 1218.9 634.4 5.0 -1.8 22.3 14.0 -2.1 -28.1 35.0 15.9 APAYAO 144.6 184.0 822.7 720.1 2.6 0.4 5.8 16.6 3.0 -23.7 1.1 -0.3 BENGUET 47.7 422.3 1734.9 931.8 8.0 0.2 31.6 21.7 -6.0 -26.7 63.1 21.8 IFUGAO 102.6 321.0 1071.1 724.9 -6.0 -9.6 14.4 8.9 -1.3 -24.2 17.6 -2.9 KALINGA 92.3 228.0 892.3 691.9 1.0 -9.1 4.5 14.8 4.2 -21.0 3.9 1.1
MOUNTAIN PROVINCE
74.8 286.8 1121.1 699.2 -2.7 -7.7 16.4 14.9 1.1 -27.4 26.6 8.5
Table b: Seasonal rainfall change (in %) in 2020 and 2050 under medium-range emission scenario in provinces in CAR
Provinces Stations
No. of Days w/ Tmax >35 °C No. of Dry Days
No. of Days w/ Rainfall >300mm
OBS (1971-2000) 2020 2050 OBS 2020 2050 OBS 2020
2050
BENGUETBaguio City
0 0 0 7248 5320 5379 29 39 35
Table c: Frequency of extreme events in 2020 and 2050 under medium-range emission scenario in provinces in CAR
CLIMATOLOGICAL EXTREMES
STATION: BAGUIO CITY
Lat: 16o24'36"N Long: 120o36'00"EYEAR: AS OF 2011
GREATEST DAILY HIGHEST TEMPERATURE (oC) RAINFALL (MM) WIND (MPS) SEA LEVEL PRESSURES (MBS)
MONTH HIGH DATE LOW DATEAMOUN
T DATE SPD DIR DATE HIGH DATE LOW DATE JAN 29.7 01-31-1978 6.3 01-18-1961 107.4 01-25-2006 20 SE 01-25-1975 1021.7 01-18-1959 1001.9 01-01-1950 FEB 28.7 02-10-1978 6.7 02-01-1963 58.4 02-26-2008 15 ESE 02-13-1974 1020.6 02-01-1962 1002.3 02-07-1985 MAR 30.4 03-15-1988 7.4 03-01-1963 80.6 03-27-2001 17 ESE 03-28-1996 1019.6 03-07-2006 1000.6 03-05-1999 APR 30.0 04-12-2010 10.0 04-01-1923 147.7 04-08-1967 25 SW 04-25-1976 1018.0 04-05-1998 992.4 04-21-1956 MAY 29.4 05-09-2003 7.7 05-30-1989 730.3 05-15-1980 30 ESE 05-17-2008 1014.0 05-02-1978 987.8 05-23-1976 JUNE 28.7 06-03-1991 11.8 06-20-2004 538.4 06-29-2004 35 WNW 06-26-1993 1014.0 06-27-1993 985.9 06-10-1974 JULY 27.9 07-04-1983 12.5 07-08-1925 1085.8 07-04-2001 47 SE 07-20-1974 1012.8 07-12-1979 981.0 07-04-2001 AUG 27.7 08-30-1988 12.8 08-12-1936 969.8 08-04-2008 31 S 08-07-1964 1014.0 08-18-1963 985.3 08-06-1964 SEP 28.0 09-04-1981 12.6 09-01-1990 799.8 09-27-1911 38 S 09-11-1970 1013.8 09-28-1982 980.1 09-27-2011 OCT 27.7 10-08-1980 11.3 10-26-1913 994.6 10-14-1998 41 WNW 10-27-1974 1015.8 10-26-2008 978.9 10-24-1988 NOV 28.2 11-19-1987 9.2 11-30-1989 698.7 11-05-1980 41 SE 11-04-1967 1018.2 11-30-1978 978.4 11-08-1954 DEC 28.2 12-28-1929 7.6 12-13-1991 148.8 12-04-1936 30 SSE 12-02-2004 1019.7 12-19-1994 974.1 12-14-1964 ANNUAL 30.4 03-15-1988 6.3 01-18-1961 1085.8 07-04-2001 47 SE 07-20-1974 1021.7 01-18-1959 974.1 12-14-1964Period of
1909 - 2011 1902 - 2011 1950 - 2011 1949 - 2011Record
Responses to Responses to Climate ChangeClimate Change
67
What can you do to help What can you do to help solve the problem?solve the problem?
Mitigation Actions
70
AdaptationAdaptationPractical steps to protect countries Practical steps to protect countries and communities from the likely and communities from the likely disruption and damage that will disruption and damage that will result from effects of climate changeresult from effects of climate change
MitigationMitigationAn anthropogenic intervention to An anthropogenic intervention to reduce the sources or enhance reduce the sources or enhance the sinks of greenhouse gases.the sinks of greenhouse gases.
Mitigation Actions
Mitigation Actions
WATER RESOURCEWATER RESOURCEDesign standards and regulations
AGRICULTUREAGRICULTUREImprove water use efficiency
a
Adaptation Measures
AGRICULTUREAGRICULTUREDesign standards and regulations
UPGRADING CAPABILITIES TO ANTICIPATE CHANGES IN WEATHER (FORECASTING) & IMPROVE CLIMATE PROFILE (DATA BASE)
STRATEGIES/MEASURES
PAGASA-DOST ADAPTATION MEASURES
PAGASA’s Response Activities
Enhancement of Observing systems and monitoring facilities for early warning system
• Upgrading of surveillance radars/ Establishment of Doppler Radar• Upgrading of Satellite Facilities (NOAA, MTSAT)• Acquisition of MODIS Satellite• Upgrading of Upper Air Stations• Buoys, wind profilers, AWS
Strategies in the Design of a Flood Early Warning
System
CC adaptation requires an understanding of vulnerabilities and impacts
77
Adaptation means pro-active planning for a range of possible future scenarios
78