Training module on climate analysis (I)


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  • Start with if they’re clear on difference between weather and climateVulnerability is the differential capacity of groups and individuals to deal with hazards based on their positions within physical and social worlds. Dow 1992
  • Mitigation is inherently global (Philippines could have 0 emissions but CC would still occur unless everyone else also mitigatesAdaptation is inherently local (vulnerability and impacts are place-specific).e.g. instead of slash and burn agriculture.
  • Timeframe! When!
  • Check the observed data here – how well so the models capture changes?Add slide on Philippines PRECIS work – talk to Tak also on this though.What does the IPCC say?Broadly, rainy season increases, dry decreases – but later start to the rains? June decrease.
  • Check the observed data here – how well so the models capture changes?Add slide on Philippines PRECIS work – talk to Tak also on this though.What does the IPCC say?
  • Damage likely to increase – more people, SLR higher and probably more intense. Check vs figures in the Philippines climate report.Warmer seas = more intense typhoons likely.Info from SREX/WMO
  • Damage likely to increase – more people, SLR higher and probably more intense. Check vs figures in the Philippines climate report.Warmer seas = more intense typhoons likely.Info from SREX/WMO
  • Why do they disagree? What do you think about the uncertainty? Does this data match with what you have experienced/what you know already? Have a proper discussion here.
  • Training module on climate analysis (I)

    1. 1. Climate Analysis: using data to inform adaptation strategies. Climate Adaptation training in the Philippines – SEI Oxford and SEI Asia November 12-13, 2013
    2. 2. Learning Objectives • By the end of this session participants will be able to: - Assess the strengths and weaknesses of several different types of climate data. - Develop clear messages on future changes in climate which account for uncertainty. - Critically evaluate the strengths and weaknesses of different adaptation options in regard to different possible climate futures.
    3. 3. Some definitions Source • Climate Variability: Variations in the mean state of the climate – natural variability always exists (e.g. wetter years, drier years). • Climate Change: Anthropogenic climate change is a significant and persistent change in the average conditions or extremes of a region.
    4. 4. Some Definitions • Two ways we can deal with a changing climate: • Attempt to minimise how much change will occur, by reducing emissions (mitigation) • Attempt to minimise the negative effects of climate change (adaptation) • Sometimes we can do both at once: - e.g. Conservation agriculture can increase farm water availability at the same time as reducing emissions. For more on adaptation-mitigation synergies see
    5. 5. Principles • The data needed depends on the question (so frame the question well first). • Using multiple sources of information will provide a better understanding of the issue. • Always understand the past and the present before looking to the future. • Uncertainty can’t be avoided; there is a range of plausible futures • Climate change is the not the only issue (deforestation, population growth, intensive agriculture. . .)
    6. 6. Frame the Question • Who? Different groups will be vulnerable in different ways. • Where? The location and spatial scale are key. Are we interested in changes at a national scale, to inform policy? Or are we trying to implement adaptation in a small rural community? • What? Are there specific areas we are interested in, for example how climate change might affect the growing season for different crops? • The more specific we can make the question, the easier it will be to identify the specific changes in climate which we need to understand (e.g. onset of the rainy season, or maximum temperatures).
    7. 7. Understand the Context • What is the current climate like – variability, seasonality. • Are there cyclical patterns which affect the climate – e.g. El Niño causing droughts. • Is there evidence that the climate has been changing? • Are there other factors which are important in these changes? e.g. a decrease in water availability may also be due to land-use change.
    8. 8. Climate Models • A model is a representation of the real world, it is not an exact copy • Projections vs Predictions. • We do not know which model is ‘best’; fit to historical climate is not necessarily an indicator of quality of projection • Climate is a complex system – there are a range of plausible future states
    9. 9. Data and Uncertainty 300km GCM resolution 50km RCM resolution Downscaled data around Dumaguete • Different types of data (recorded, observed, global models, downscaled models). • Good for different things; understand pros and cons. • No single model is ‘best’ – look at projections from a range of regionally appropriate models.
    10. 10. Data and Uncertainty • Downscaling – can be dynamic or statistical • Important in an island context!
    11. 11. Data and Uncertainty Rainfall changes Mataram Station from 10 models Cascade of uncertainty (Wilby and Dessai 2010) • Many different sources of uncertainty, which get amplified!
    12. 12. Dumaguete • There will always be uncertainty – we can’t predict the future. • For some locations and some changes we can be more confident than others. • Uncertainty doesn’t mean we can’t do anything to adapt.
    13. 13. Philippines • For the Philippines we have a mixed picture: - Temperatures are clear; there will be increases - Sea-Level rise is clear; we will have increases - Certain impacts can be clear – e.g. there will be problems from coastal erosion and storm surges, there is likely to be coral bleaching and die-off. - Rainfall changes are less certain: generally we may see increases in Luzon and Visayas, and decreases in Visayas, but different models vary. . . - Greater intensity though.
    14. 14. Typhoons • No evidence for changes in intensity or frequency of typhoons in Pacific (historical record poor!) • No change in frequency of typhoons in Philippines – however, damage increasing (PAGASA) • Projections: Uncertainty, but wind speed and rainfall intensity likely to increase, frequency same or decrease. • Unclear how tracks will change.
    15. 15. Typhoons Source: PAGASA
    16. 16. Robust Choices • Key is to choose adaptation options which are no/lowregret, and start by addressing current vulnerability: - Create a plausible list of adaptation options (which are socially acceptable). - Based on data create a plausible list of future climate scenarios (e.g. earlier start to rains, warmer, more intense rainfall). - Are the adaptation options negatively affected by possible future changes? - Which choices are least affected by differences between scenarios?
    17. 17. Useful Data Sources • CSAG Climate Information Portal: • World Bank Climate Portal: untry_historical_climate&ThisRegion=Asia&ThisCCode=IDN • weADAPT: • UK Met Office Indonesia profile: • GTZ Adaptation to climate change on Lombok:
    18. 18. Exercise 1: Assessing data • For Lombok identify 1 source of information on historical climate, and 2 different sources of information about future climate. Assess the following: • What has been the historical change in rainfall and temperature? • For 2050, what do the projections say about: - Annual rainfall Average temperatures The timing of the rainy season - What do the different data sources agree on? What do they disagree on? Are there differences between historical trends and future projections? Write down 2 key messages about the future climate you would be confident in using in your work. -
    19. 19. Exercise 2: Robust adaptation • Choose 1 stakeholder group from your case study • Based on results from the vulnerability assessment, write down a list of possible adaptation options. • Using different data sources develop 3 possible scenarios of how the climate might change. • For each adaptation option identified score them 1-5 for each scenario, based on how sensitive they are to the changes (where 1 is not affected and 5 is very affected). • How do the adaptation options compare? Are there options which perform well under all 3 scenarios? • What other non-climatic changes might influence how well the adaptation options perform?