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Climate and
hydrological
     change:
methods and
      results
                 Tarek Ketelsen
                Jorma Koponen
            Jeremy Carew-Reid
                  Simon Tilleard
                    Mai Ky Vinh
                 To Quang Toan


ICEM – International Centre for    Climate Change Impacts and Adaptation Study
  Environmental Management         Interim Results workshop
                                   31 October – 1 November 2012
Contents

1.   Climate change and the Mekong Basin
2.   Overview of the methodology
3.   Basin-wide findings
4.   Challenges & limitations




                                           2
CLIMATE CHANGE & THE
MEKONG BASIN
                       3
Hydroclimate features of
                  the Mekong Basin
40,000


35,000                                                   KRATIE



30,000

                                                           PAKSE
25,000


20,000
                                                                          TAN CHAU


15,000
                                                          VIENTIANE

10,000

                                                         CHIANG SAEN
 5,000
                                                                          CHAU DOC

    0
     1-Jan   1-Feb 1-Mar   1-Apr 1-May   1-Jun   1-Jul   1-Aug    1-Sep    1-Oct     1-Nov 1-Dec




                                                                                                   4
Climate
                                                                changes

                                                             Hydrological
                                                              changes

                                   Agricultural                                      Ecological
                                     zones                                             zones
                                                           Species “zones”

                 Commercial   Subsistence   Aqua-        Traditional   Live-     Crop wild     NTFPs     Wild fish   Wildlife
                   crops         crops      culture        crops       stock     relatives                catch




                                                              Climate
                                                       Adaptation options
                                                              changes

                                                          Hydrological
                                                           changes

                  Agricultural                                                                   Ecological
                    zones                                                                          zones
                                                        Species “zones”

Commercial   Subsistence          Aqua-               Traditional        Live-               Crop wild         NTFPs            Wild fish   Wildlife
  crops         crops             culture               crops            stock               relatives                           catch




                                              Adaptation options
ARCC time-slices

 • ARCC Vulnerability Projections centered on 2050 (2045-2069)
    – 2050 allows for identification of the CC trends to be established with
      confidence
    – show us what direction we are moving, helping to set adaptation
      response
 • ARCC will also consider 2030 and Global 2 C




                                                                               6
2 C – a compromise with nature to avoid catastrophic climate change
> 2 C → + 2 to 7m SLR
>300yrs




> 3-5 C → +5 m SLR                                          > 2 C → ????
>300yrs




                                                                                      7

                                     Source: Adapted from (Schellnhuber, 2012and Lenton et al 2008)
Global CC projections
B1
•  Population peaking
   at 9bil. and declining
   after 2050
•  Reductions in
   material intensity
•  Aggressive
   transition to clean &
   resource efficient
   technologies
•  Emphasis on
   globally connected
   economies



•    Over last decade rates of C0₂ emissions have exceeded even the most
     extreme scenarios
      –   2008 emissions +37% above 1990 levels
      –   2010 emissions +5% above 2008                                          8
      –   Increased mean global temperatures by 0.8 C
                                                                           Source: IPCC, 2007
Emission thresholds
•   Budget of 750Gt C0₂ remaining
    before we reach 2°C
•   Global emissions for all GHGs
    need to peak by 2015-2020
•   5-9% annual emissions
    reduction rate
     •   25-40% emissions reduction
         of developed countries by
         2020
     •   50% global emissions
         reduction by 2050

                                                      Source: WBGU Special Report 2009


• Unlikely that climate change can be limited to 2 C
• Vulnerability assessments need to project beyond 2 C to
  understand the trends                                                    9

• By 2050, the Mekong Basin is beyond 2 C
METHODOLOGY

              10
Assessment steps
                 MEKONG HYDROCLIMATE                          MEKONG SYSTEMS BASELINES
                      BASELINE




Hydrological   Floodplain   Crop Yield   Crop suitability
 modelling     modelling    modelling      modelling



      CHARACTERISATION OF EXPOSURE                          CHARACTERISATION OF
                                                                SENSITIVITY


                                                                                         11
                            MEKONG SYSTEM CAM ASSESSMENT
Projections of future emissions
                                                   and global GHG concentrations
                                                    IPCC EMISSION SCENARIOS

                                                     A1         B1        A2        B2




Hydroclimate              Projections of future atmospheric climate, atmospheric & ocean
                                                     dynamics
assessment process      BCCR-
                                      GCMs – GLOBAL CIRCULATION MODELS
                                    CCSM3         CGCM3.1    CGCM3.1   CNRM-     CSIRO -   ECHMA5/   ECHO-G
                        BCM2.0                    (T47)      (T63)     CM3       MK3.0     MPI-OM

                        FGOALS-     GFDL-         GFDL-      GISS-     GISS-EH   GISS-ER   INM-      IPSL-CM4
                        G1.0        CM2.0         CM2.1      AOM                           CM3.0

                        MICROC3.    MICROC3.2     MRI-       PCM       UKMO-     UKMO-
                        2 (hires)   (medres)      CGCM2.3.             HADCM3    HADGEM
                                                  2                              1




                                        Downscaled projections of future climate at
                                                     the basin-level
                                               CLIMATE DOWNSCALING

                                        DYNAMICAL              STATISTICAL          PATTERN
                                         (PRECIS)


                   PRECIS                           Vietnam 2009                             Mekong Basin 2009
                  Southeast                          (WeADAPT)                                (Cai et al, 2008)
                  Asia 2003
                 (SEASTART)
                                            Prediction of future hydrological regime
                                                 HYDROLOGICAL MODELLING




                        VMOD                       VMOD                 MRC DSS                VMOD                 SLURP             CSIRO
                     Songkhram                  Mekong Delta            Mekong                Mekong               Mekong            Mekong
                         2004                       2008               Basin 2010            Basin 2011         Basin 2011*         Basin 2009
                     (Aalto Uni &               (Aalto Uni &            (MRC &              (Aalto Uni &           (QUEST)     12    (18 sub-
                      SEASTART)                  SEASTART)               IWMI)                 ICEM)            (no Mekong            basins)
                                                                                                                 floodplain)
Key steps
                                1. Projections of future emissions
•   Quantification of future
    climate change threats
•   Links changes in global    2. Projections of future atmospheric
    systems to regional and            and ocean dynamics
    local areas of interest
•   Based on best available     3. Downscaling projections to the
                                        Mekong Basin
    science

                               4. Predicting future changes in the
                                    basin hydrological regime


                               5. Predicting future changes in the
                                 Delta floodplain environment &
                                           project site


                                                          13
1. IPCC Emissions Scenario




A1B
•  world of rapid economic growth
•   introduction of more efficient technologies
                                                                               14
•   global population peaking by 2050 (9bil.)
•  a balance between fossil intensive and non-fossil energy sources   Source: CSIRO, 2009
1. IPCC Scenarios – new developments
IPCC AR5 (2014)
• SRES scenarios will be replaced with a set of
   Resource Concentration Pathways (RCPs)
     –   a set of scenarios relating to radiative forcing and
         GHG concentrations in the atmosphere
     –   not directly linked to any socio-economic futures
•   Can be linked to IPCC scenarios




                                                                             15

                                                                Source: Moss et al, 2012
2. Global Circulation Models
•   Two earlier studies (Cao et al, 2009; Eastham et al, 2008) reviewed the
    performance of 17/24 IPCC AR4 GCMs for suitability to the Mekong region
•   In general, models perform better for temperature than precipitation
•   6 were chosen based on their ability to replicate daily historical temperature and
    rainfall data

     Climate model    CO2 Scenario   Abbreviation   Data period   Model resolution (degrees)
     CCCMA_CGCM3.1    A1b, B1        ccA, ccB       1850-2300     3.75° x 3.75°
     CNRM_CM3         A1b, B1        cnA, cnB       1860-2299     2.8° x 2.8°
     GISS_AOM         A1b, B1        giA, giB       1850-2100     3° x 4°
     MIROC3.2Hires    A1b, B1        miA, miB       1900-2100     1.1° x 1.1°
     MPI_ECHAM5       A1b, B1        mpA, mpB       1860-2200     1.9° x 1.9°
     NCAR_CCSM3       A1b, B1        ncA, ncB       1870-2099     1.4° x 1.4°




                                                                                               16
3. Statistical Climate Downscaling
Purpose: reduce the geographical scope so that resolution
    can be improved
        Assumes local climate is conditioned by large-scale
         (global) climate
        does not try to understand physical causality
        GCM output is compared to observed information for a
         reference period to calculate period factors
        Period factors are then used to adjust GCM time-series
        Downscaling undertaken for 166 temperature &
         precipitation stations




                                                                  17
4. Basin wide hydrological modelling

•   VMod model
•   15 years of custom development for the Mekong
•   area-based distribution of hydro-meteorological
    impacts of climate change
•   Computes water balance for grid cells (5x5km)
•   Baseline:1981 – 2005
•   Future CC: 2045 - 2069
•   Can predict changes in:
     –   Rainfall
     –   Runoff
     –   Flows
     –   Infiltration
     –   evapotranspiration




                                                      18
5. Flood modelling
•   MIKE-11
•   Uses Vmod to establish
    boundary conditions
•   Divides the floodplain into
    zones (>120 in the delta)
•   Calculates small area water
    balances
     –   25,900 water level points
     –   18,500 flow points
•   Quantifies the changes in depth
    and duration of flooding due to
    changes in upstream hydrology
    and sea level rise
Flooding Assessment scenarios
• Average Flood + 0.3m SLR
• 1 in 100yr Flood + 0.3m SLR                   19
• 1 in 100yr Flood + 0.3m SLR + Cyclone event
MAIN FINDINGS

                20
CC assessment parameters

•   Max/min daily Temperature
•   Seasonal rainfall
•   Timing of the monsoon
•   Peak rainfall events
•   Erosion potential
•   Drought
•   Storms & cyclones
•   Soil water availability
•   River flow
•   Hydro-biological seasons
•   Flooding (depth & duration)

                                  21
Interpreting Climate Change: Shifts & variability
1. Shift in the Mean
2. Historic variability                          1
3. future variability
       3–2=     variability
4. Climate experienced in baseline
   but no longer experienced with
   CC
5. Climate common in baseline but
   less frequent with CC                     3
6. Climate becoming more
   frequent with CC                          2
7. New climate never before
   experienced
                                     4   5           6   7



                                                             22
CHANGES IN TEMPERATURE

                         23
Max temperature
    Annual




  + 5-7%




                  + 10-15%




                    24
Max temperature
  Dry Season




                  + 10-13%




                     25
Max Temperature
      Wet




                  + 14-19%




                    26
Min. temperature
     Annual




                   + 10-30%




                      27
CHANGES IN RAINFALL

                      28
Mean Annual
         precipitation change



                           + 10-18%
• Text




                                      29
Mean Wet Season
         precipitation change




• Text


                                + 11-14%




                                           30
Mean Dry Season
         precipitation change




                                + 15-23%
• Text




                                           - 3-10%




                                               31
Change in
                                        Monsoon timing

       1                                  •   Monthly rainfall >200mm

                        3
                    2

                            4
1.   Chiang Rai                     6
2.   Sakon Nakhon
3.   Khammoun               7   5
4.   Champassak
5.   Mondolkiri
6.   Gia Lai
7.   Kampong Thom
8.   Kien Giang
                            8


                                                                        32
CHANGES IN
STORMS, DROUGHTS &
EXTREME EVENTS
                     33
Change in peak
 precipitation




                 + 16-21%




                   34
Change in peak runoff &
erosion potential




                              + 40 ++%




                                 35

                          +
Agricultural Drought
                             Rainfall < 0.5* PET


Increase in areas experience >6months drought
                                                   - 3 -25%




                                                        +10-100%




                                                              36
Change in Storm Events

             Baseline summary (1956-2009)
             Date    Intensity   Frequency   Landfall
             June                            Japan, Korea, China
                         +           +       Eastern Seaboard

             July                            China, Northern Vietnam
                        ++           +       & Lao PDR
      25%
             Aug –     +++         +++       Northern & central
                                             Vietnam & Lao PDR –
             Sep                             occasionally Thailand
      15%
             Oct –      ++          ++       Central Vietnam,
                                             Southern Lao &
             Nov                             Cambodia

             Dec                             Southern Vietnam
                         +           +
      41%

                With CC:
       19%      • Frequency will not change
                • Become more intense
                • Unclear whether trajectories will
                   change
                                                        37
CHANGES IN DRY SEASON
SOIL & SURFACE WATER
                        38
Subsurface Soil Water
Availability Dry Season




                          + 10-60%


                               - 10-35%




                                      39
Surface Soil Water
Availability Dry Season


                          + 5-30%




                                    - 15-30%




                                        40
Change in Dry Season
Surface Water Availability


                         + 18 -25%




                                 - 4- 6.5%




                                     41
CHANGES IN HYDROLOGY,
FLOWS & FLOODING
                        42
% change in seasonal
                     discharge

     + 20-40%                          Peak water level
                                       increase (m)




                       + 20-40%




                                                    43

DRY SEASON      WET SEASON        WET SEASON
Change in Mekong River
                     Hydrology




1

    2
        3
            4

            5
                                         44
Hydro-biological
Seasonal Shifts




                   Source: MRC, 2009




                        45
Hydro-biological
Seasonal Shifts
ONSET
• Wet season: 1-2 weeks earlier
• Dry season: 1-3 weeks later
• Transition Season: <1 week earlier




DURATION
• Wet season: 2-4weeks longer
• Dry season: 1-2 weeks shorter
• Transition Season: 1-2 weeks shorter




                                         46
YR 2000 Flood
Depths & extent
2050 Flood Depth &
                       extent


• 1 in 100yr +
  0.3m SLR




                                      48
Duration of flood greater
   than 0.5 m depth
Duration of flood
greater than 1m depth




                        50
CHALLENGES & LIMITATIONS

                       51
Key challenges for climate change modelling
1.   Topographical complexity of the basin
2.   Variability in Mekong hydroclimate &
     selection of appropriate baseline
3.   Non-stationarity in hydroclimate
     conditions
4.   Understanding of Ground water
     interactions
5.   Application of statistical downscaling
     in tropical climates (validity of the
     normal distribution assumption)
6.   Accounting for system feedback
     –   projecting changes in the stability of the
         Monsoon
     –   Incorporating ENSO phenomena


                                                           52

                                                      Source: MRC, 2011
• Thank you!




               53

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Mekong ARCC Climate Change and Hydrology Modeling Methods and Results

  • 1. Climate and hydrological change: methods and results Tarek Ketelsen Jorma Koponen Jeremy Carew-Reid Simon Tilleard Mai Ky Vinh To Quang Toan ICEM – International Centre for Climate Change Impacts and Adaptation Study Environmental Management Interim Results workshop 31 October – 1 November 2012
  • 2. Contents 1. Climate change and the Mekong Basin 2. Overview of the methodology 3. Basin-wide findings 4. Challenges & limitations 2
  • 3. CLIMATE CHANGE & THE MEKONG BASIN 3
  • 4. Hydroclimate features of the Mekong Basin 40,000 35,000 KRATIE 30,000 PAKSE 25,000 20,000 TAN CHAU 15,000 VIENTIANE 10,000 CHIANG SAEN 5,000 CHAU DOC 0 1-Jan 1-Feb 1-Mar 1-Apr 1-May 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct 1-Nov 1-Dec 4
  • 5. Climate changes Hydrological changes Agricultural Ecological zones zones Species “zones” Commercial Subsistence Aqua- Traditional Live- Crop wild NTFPs Wild fish Wildlife crops crops culture crops stock relatives catch Climate Adaptation options changes Hydrological changes Agricultural Ecological zones zones Species “zones” Commercial Subsistence Aqua- Traditional Live- Crop wild NTFPs Wild fish Wildlife crops crops culture crops stock relatives catch Adaptation options
  • 6. ARCC time-slices • ARCC Vulnerability Projections centered on 2050 (2045-2069) – 2050 allows for identification of the CC trends to be established with confidence – show us what direction we are moving, helping to set adaptation response • ARCC will also consider 2030 and Global 2 C 6
  • 7. 2 C – a compromise with nature to avoid catastrophic climate change > 2 C → + 2 to 7m SLR >300yrs > 3-5 C → +5 m SLR > 2 C → ???? >300yrs 7 Source: Adapted from (Schellnhuber, 2012and Lenton et al 2008)
  • 8. Global CC projections B1 • Population peaking at 9bil. and declining after 2050 • Reductions in material intensity • Aggressive transition to clean & resource efficient technologies • Emphasis on globally connected economies • Over last decade rates of C0₂ emissions have exceeded even the most extreme scenarios – 2008 emissions +37% above 1990 levels – 2010 emissions +5% above 2008 8 – Increased mean global temperatures by 0.8 C Source: IPCC, 2007
  • 9. Emission thresholds • Budget of 750Gt C0₂ remaining before we reach 2°C • Global emissions for all GHGs need to peak by 2015-2020 • 5-9% annual emissions reduction rate • 25-40% emissions reduction of developed countries by 2020 • 50% global emissions reduction by 2050 Source: WBGU Special Report 2009 • Unlikely that climate change can be limited to 2 C • Vulnerability assessments need to project beyond 2 C to understand the trends 9 • By 2050, the Mekong Basin is beyond 2 C
  • 11. Assessment steps MEKONG HYDROCLIMATE MEKONG SYSTEMS BASELINES BASELINE Hydrological Floodplain Crop Yield Crop suitability modelling modelling modelling modelling CHARACTERISATION OF EXPOSURE CHARACTERISATION OF SENSITIVITY 11 MEKONG SYSTEM CAM ASSESSMENT
  • 12. Projections of future emissions and global GHG concentrations IPCC EMISSION SCENARIOS A1 B1 A2 B2 Hydroclimate Projections of future atmospheric climate, atmospheric & ocean dynamics assessment process BCCR- GCMs – GLOBAL CIRCULATION MODELS CCSM3 CGCM3.1 CGCM3.1 CNRM- CSIRO - ECHMA5/ ECHO-G BCM2.0 (T47) (T63) CM3 MK3.0 MPI-OM FGOALS- GFDL- GFDL- GISS- GISS-EH GISS-ER INM- IPSL-CM4 G1.0 CM2.0 CM2.1 AOM CM3.0 MICROC3. MICROC3.2 MRI- PCM UKMO- UKMO- 2 (hires) (medres) CGCM2.3. HADCM3 HADGEM 2 1 Downscaled projections of future climate at the basin-level CLIMATE DOWNSCALING DYNAMICAL STATISTICAL PATTERN (PRECIS) PRECIS Vietnam 2009 Mekong Basin 2009 Southeast (WeADAPT) (Cai et al, 2008) Asia 2003 (SEASTART) Prediction of future hydrological regime HYDROLOGICAL MODELLING VMOD VMOD MRC DSS VMOD SLURP CSIRO Songkhram Mekong Delta Mekong Mekong Mekong Mekong 2004 2008 Basin 2010 Basin 2011 Basin 2011* Basin 2009 (Aalto Uni & (Aalto Uni & (MRC & (Aalto Uni & (QUEST) 12 (18 sub- SEASTART) SEASTART) IWMI) ICEM) (no Mekong basins) floodplain)
  • 13. Key steps 1. Projections of future emissions • Quantification of future climate change threats • Links changes in global 2. Projections of future atmospheric systems to regional and and ocean dynamics local areas of interest • Based on best available 3. Downscaling projections to the Mekong Basin science 4. Predicting future changes in the basin hydrological regime 5. Predicting future changes in the Delta floodplain environment & project site 13
  • 14. 1. IPCC Emissions Scenario A1B • world of rapid economic growth • introduction of more efficient technologies 14 • global population peaking by 2050 (9bil.) • a balance between fossil intensive and non-fossil energy sources Source: CSIRO, 2009
  • 15. 1. IPCC Scenarios – new developments IPCC AR5 (2014) • SRES scenarios will be replaced with a set of Resource Concentration Pathways (RCPs) – a set of scenarios relating to radiative forcing and GHG concentrations in the atmosphere – not directly linked to any socio-economic futures • Can be linked to IPCC scenarios 15 Source: Moss et al, 2012
  • 16. 2. Global Circulation Models • Two earlier studies (Cao et al, 2009; Eastham et al, 2008) reviewed the performance of 17/24 IPCC AR4 GCMs for suitability to the Mekong region • In general, models perform better for temperature than precipitation • 6 were chosen based on their ability to replicate daily historical temperature and rainfall data Climate model CO2 Scenario Abbreviation Data period Model resolution (degrees) CCCMA_CGCM3.1 A1b, B1 ccA, ccB 1850-2300 3.75° x 3.75° CNRM_CM3 A1b, B1 cnA, cnB 1860-2299 2.8° x 2.8° GISS_AOM A1b, B1 giA, giB 1850-2100 3° x 4° MIROC3.2Hires A1b, B1 miA, miB 1900-2100 1.1° x 1.1° MPI_ECHAM5 A1b, B1 mpA, mpB 1860-2200 1.9° x 1.9° NCAR_CCSM3 A1b, B1 ncA, ncB 1870-2099 1.4° x 1.4° 16
  • 17. 3. Statistical Climate Downscaling Purpose: reduce the geographical scope so that resolution can be improved  Assumes local climate is conditioned by large-scale (global) climate  does not try to understand physical causality  GCM output is compared to observed information for a reference period to calculate period factors  Period factors are then used to adjust GCM time-series  Downscaling undertaken for 166 temperature & precipitation stations 17
  • 18. 4. Basin wide hydrological modelling • VMod model • 15 years of custom development for the Mekong • area-based distribution of hydro-meteorological impacts of climate change • Computes water balance for grid cells (5x5km) • Baseline:1981 – 2005 • Future CC: 2045 - 2069 • Can predict changes in: – Rainfall – Runoff – Flows – Infiltration – evapotranspiration 18
  • 19. 5. Flood modelling • MIKE-11 • Uses Vmod to establish boundary conditions • Divides the floodplain into zones (>120 in the delta) • Calculates small area water balances – 25,900 water level points – 18,500 flow points • Quantifies the changes in depth and duration of flooding due to changes in upstream hydrology and sea level rise Flooding Assessment scenarios • Average Flood + 0.3m SLR • 1 in 100yr Flood + 0.3m SLR 19 • 1 in 100yr Flood + 0.3m SLR + Cyclone event
  • 21. CC assessment parameters • Max/min daily Temperature • Seasonal rainfall • Timing of the monsoon • Peak rainfall events • Erosion potential • Drought • Storms & cyclones • Soil water availability • River flow • Hydro-biological seasons • Flooding (depth & duration) 21
  • 22. Interpreting Climate Change: Shifts & variability 1. Shift in the Mean 2. Historic variability 1 3. future variability  3–2= variability 4. Climate experienced in baseline but no longer experienced with CC 5. Climate common in baseline but less frequent with CC 3 6. Climate becoming more frequent with CC 2 7. New climate never before experienced 4 5 6 7 22
  • 24. Max temperature Annual + 5-7% + 10-15% 24
  • 25. Max temperature Dry Season + 10-13% 25
  • 26. Max Temperature Wet + 14-19% 26
  • 27. Min. temperature Annual + 10-30% 27
  • 29. Mean Annual precipitation change + 10-18% • Text 29
  • 30. Mean Wet Season precipitation change • Text + 11-14% 30
  • 31. Mean Dry Season precipitation change + 15-23% • Text - 3-10% 31
  • 32. Change in Monsoon timing 1 • Monthly rainfall >200mm 3 2 4 1. Chiang Rai 6 2. Sakon Nakhon 3. Khammoun 7 5 4. Champassak 5. Mondolkiri 6. Gia Lai 7. Kampong Thom 8. Kien Giang 8 32
  • 33. CHANGES IN STORMS, DROUGHTS & EXTREME EVENTS 33
  • 34. Change in peak precipitation + 16-21% 34
  • 35. Change in peak runoff & erosion potential + 40 ++% 35 +
  • 36. Agricultural Drought Rainfall < 0.5* PET Increase in areas experience >6months drought - 3 -25% +10-100% 36
  • 37. Change in Storm Events Baseline summary (1956-2009) Date Intensity Frequency Landfall June Japan, Korea, China + + Eastern Seaboard July China, Northern Vietnam ++ + & Lao PDR 25% Aug – +++ +++ Northern & central Vietnam & Lao PDR – Sep occasionally Thailand 15% Oct – ++ ++ Central Vietnam, Southern Lao & Nov Cambodia Dec Southern Vietnam + + 41% With CC: 19% • Frequency will not change • Become more intense • Unclear whether trajectories will change 37
  • 38. CHANGES IN DRY SEASON SOIL & SURFACE WATER 38
  • 39. Subsurface Soil Water Availability Dry Season + 10-60% - 10-35% 39
  • 40. Surface Soil Water Availability Dry Season + 5-30% - 15-30% 40
  • 41. Change in Dry Season Surface Water Availability + 18 -25% - 4- 6.5% 41
  • 43. % change in seasonal discharge + 20-40% Peak water level increase (m) + 20-40% 43 DRY SEASON WET SEASON WET SEASON
  • 44. Change in Mekong River Hydrology 1 2 3 4 5 44
  • 45. Hydro-biological Seasonal Shifts Source: MRC, 2009 45
  • 46. Hydro-biological Seasonal Shifts ONSET • Wet season: 1-2 weeks earlier • Dry season: 1-3 weeks later • Transition Season: <1 week earlier DURATION • Wet season: 2-4weeks longer • Dry season: 1-2 weeks shorter • Transition Season: 1-2 weeks shorter 46
  • 48. 2050 Flood Depth & extent • 1 in 100yr + 0.3m SLR 48
  • 49. Duration of flood greater than 0.5 m depth
  • 50. Duration of flood greater than 1m depth 50
  • 52. Key challenges for climate change modelling 1. Topographical complexity of the basin 2. Variability in Mekong hydroclimate & selection of appropriate baseline 3. Non-stationarity in hydroclimate conditions 4. Understanding of Ground water interactions 5. Application of statistical downscaling in tropical climates (validity of the normal distribution assumption) 6. Accounting for system feedback – projecting changes in the stability of the Monsoon – Incorporating ENSO phenomena 52 Source: MRC, 2011

Notas do Editor

  1. 2°C is the key target in global climate discussions, these COP conferences etcWe have 194 countries trying to get global agreement on this targetThe reason for 2Deg C is not to avoid CC impacts. We know that with 2deg we are going to have impacts .The reason is to avoid some of the catastrophic impacts – the global tipping points – destabilisation of the indian monsoon, collapse of the greenland or antarctic ice sheets etc… these will fundamentally transfrom the world in ways which will really threaten our ability as a species to surviveBut is 2Deg C realistic?
  2. we know there is an approximately linear (Quasilinear) relationship between atmospheric CO2 and global temperature change
  3. Two key features of the distribution: the mean around which the distribution is centered. The spread in the data – i.e. the range in variability of the parameter
  4. Globally by 2050 mean annual temperatures will increase by 1.2-2.2 Deg CIn the LMB mean annual temperatures will increase by xxx Deg C
  5. Maybe delete as this info is covered better in the next slide
  6. Identify the major floodplains of the Mekong and show Cambodia/Delta floodplain to be the dominant one
  7. Due to its size, the Mekong basin is compromised of highly variable terrain. Upland areas of the Annamites and northern Lao are extremely rugged with poor access. This means that hydroclimate conditions vary markedly over short distances while coverage of monitoring stations remains sparse (see Section 3.1.3.5). In these areas localised high points, such as karst formations which rise rapidly, can occur in flatter valley terrain and cannot be accurately picked up by the Digital Elevation Model (DEM) used to define topography. The DEM will resolve the topography into an average elevation within the cell which will be higher than the valley level but lower than the local peak, which means that elevations for valley areas could be overestimated while the high point will be ignored. This issue is symptomatic for all hydrological modelling work in the Mekong Basin and can only be resolved through the development of higher resolution topographical data.Groundwater remains the most poorly monitored water resource in the Mekong basin, yet plays an important role in monthly, seasonal and inter-annual water storage. In some areas such as central Lao PDR, there is evidence suggesting that groundwater discharges back into streams during the dry season (table 3-1). Application to tropical climates: typically statistical downscaling uses multiple regression techniques which assume climate data is normally distributed. While this is generally the case for temperature data it may not the case for precipitation in monsoon.System feedback: changes in the hydroclimate will influence changes in other ecosystem components such as vegetation which could feedback to the hydroclimate by altering micro-climates, onset dates of seasonal rains, convection dynamics in the regional atmosphere or the persistence of dry spells. Statistical models fitted to observational data do not have the capacity to pick up on these important feedbacks.