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International Centre for Integrated Mountain Development
Kathmandu, Nepal
Closing Knowledge Gaps to scale
adaptation: Knowledge resources
for NAPs support
LEG Regional Training Workshop
Manila, Phillipines
13th – 17th June, 2017
Dhrupad Choudhury
Programme Manager
Regional Programme on Adaptation to Change
Extends over 3,500 km from Afghanistan to
Myanmar and home to 210 million people
The Hindu Kush Himalayan Region
The Inter-Governmental Institution:
serving the eight countries of the Region
A regional mountain
knowledge, learning and
enabling centre devoted to
sustainable mountain
development for mountains
and people
Afghanistan, Bangladesh,
Bhutan, China, India,
Myanmar, Nepal, and
Pakistan
• Largest reserve of snow
and ice outside the polar
regions
• 54,000 glaciers; 60,000
km2 area; 6,000 km3 ice
volume (ICIMOD, 2011)
• ~760,000 km2 snow cover
• 10 river basins; 6
transboundary
• provides services to 1.3
billion people
– Water
– Food
– Energy
– Biodiversity
Hindu Kush Himalayan region: The
Third Pole; Asia’s “Water tower”
Analysis based on CMA GLASAT dataset (Xu et al., 2014)
Changes in temperature extremes
Liu and Chen, 2000
-3
-2
-1
0
1
2
3
y = -161.57 + 0.081443x R= 0.59188
=8.09
=0.33
TemperatureAnomaly(
o
C)
-3
-2
-1
0
1
2
3
1960 1970 1980 1990 2000
y = -134.43 + 0.068 x R= 0.49862
=20.22
=0.31
TemperatureAnomaly(
o
C)
Year
-3
-2
-1
0
1
2
3
y = -184.44 + 0.093 x R= 0.65632
=-3.09
=0.39
TemperatureAnomaly(
o
C)
a.
b.
c.
d.
Shrestha et al. 2009
Tibetan Plateau
HKH (CRU)
Elevation dependent warming
Analysis based on CMA GLASAT dataset (Xu et al., 2014)
PAA WDA DPIA • Light=<50p
• Moderate=50-
90p
• Intense=>90p
Changes in precipitation extremes
Glacier dynamics
HKH and Indus
Scherler et al., 2011; Nature Geoscience
Glacier change projection
• Area change -20 to -
55%
• Indus: -20 to -30%
Glacial hazards:
glacial lake outburst flood (GLOF)
1. The Hindu Kush Himalaya (HKH) have seen significant warming in past
decades, slightly higher than, or nearly equal to, the global average—a trend
that will likely continue. Even if global warming is kept to 1.5oC (1.5oC),
warming in the HKH will likely be at least 0.3oC higher, and in some parts at
least 0.7oC higher. Such large warming could trigger a multitude of
biophysical and socio-economic impacts.
2. For the past 5–6 decades, the HKH have shown a rising trend of extreme
warm events; a falling trend of extreme cold events; and a rising trend in
extreme values and frequencies of temperature based indices (both
minimum and maximum). These changes are likely to continue.
3. The HKH is experiencing increasing variability in western disturbances and
a higher probability of snowfall in the Karakoram and western Himalaya,
changes that will likely contribute to increases in glacier mass in those
areas.
4. Consensus among models for the HKH is weak—a result of the region’s
complex topography and the coarse resolution of global climate models. To
improve evidence-based adaptation planning, better climate models and
Key Messages
Bridging the Knowledge Gap –
across scales
• Down scaled scenarios
• Water availability
• Ecosystem services
assessments
• Vulnerability assessments
Knowledge generation, pilots
& adaptation action:
multi-stakeholders
partnerships at different levels,
Climate induced hazards: One-third
of disasters are floods
(Source: EM-DAT – The OFDA/CRED
International Disaster Database)
Transboundary floods - shared vulnerability
across national borders
Impact of Climate Change -
Water Induced Disasters -
Downstream
Assam, North
East India –
flood impact
(sand casting)
HKH-HYCOS: Setting up monitoring
stations and establishment of real-time
flood information systems
‘Making Information Travel Faster Than Flood Waters’
Establishment of a Regional
Flood Information System in the
HKH-Region - Timely exchange
of flood data and information
through an accessible and user
friendly platform
HYCOS is a vehicle for technology
transfer, training, and capacity building
Regional flood outlook
Developed a flood
outlook system for
the Ganges-
Brahmaputra basin
utilizing freely
available data and
weather forecasts
Mathematical
model describing
the precipitation-
runoff process in
the catchments
and hydrodynamic
flood routing along
the river system.
Dissemination of information:
Web-based charts and tables
Impacts of flood:
Communities are the first responders
of any disasters
Pakistan Flood 2010
Afghanistan Flood, 2013
Koshi,Nepal Flood, 2008
Bangladesh Flood, 2014
Uttarakhand, India Flood, 2013
Community Based Monitoring and
Early Warning
Nepal
Ratu Khola,
Koshi
Afghanistan
Baghlan and
Badagshan
(potential)
CBFEWS in HKH
India
Jiadhal and
Singora rivers,
Assam
Pakistan
Indus basin
Ecosystem Services:
Methodology for Vulnerability
assessment
• Vunerability assessments: Socio-
economic; do not cover
ecosystem services
• HKH population highly dependent
on ecosystem services
• Vulnerability assessments, must
factor in vulnerability of
ecosystem services
• Methodology applied for Nepal’s
NAPs preparations
Predicted changes in net primary
productivity in Koshi Basin, Nepal
Predicted changes in leaf area
index in Koshi Basin, Nepal
Enhancing capacity of partners:
Downscaling for effective LAPAs
• LAPAs: Adaptation
Plans for Action at
district/ VDC levels
• Adaptation for
Smallholder farmers
in Hilly Areas of
Nepal (ASHA) – 6
districts; sub
watershed
• Vulnerability
assessment of
ecosystems
Adaptation Practice – Lessons in
resilience building: Learning through
pilots
• Community-led Veterinary
health services (Garo Hills)
• Institutional mechanisms
for Flood response
(CBFEWS, Remittance &
Flood preparedness)
• Tourism Destination
Management Plans (Inlay,
Myanmar)
• Agricultural Extension
services (RCT: Nepal)
• Resilient Mountain
Villages
Gender must be central to
adaptation action……
Support for NAPs……
• Knowledge
products/
methodologies/
tools already
available
• Learnings from
Pilots – adaptation
solutions
• Capacity building
(www.icimod.org)
Thank you

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29.0 icimod june 2017

  • 1. International Centre for Integrated Mountain Development Kathmandu, Nepal Closing Knowledge Gaps to scale adaptation: Knowledge resources for NAPs support LEG Regional Training Workshop Manila, Phillipines 13th – 17th June, 2017 Dhrupad Choudhury Programme Manager Regional Programme on Adaptation to Change
  • 2. Extends over 3,500 km from Afghanistan to Myanmar and home to 210 million people The Hindu Kush Himalayan Region The Inter-Governmental Institution: serving the eight countries of the Region A regional mountain knowledge, learning and enabling centre devoted to sustainable mountain development for mountains and people Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal, and Pakistan
  • 3. • Largest reserve of snow and ice outside the polar regions • 54,000 glaciers; 60,000 km2 area; 6,000 km3 ice volume (ICIMOD, 2011) • ~760,000 km2 snow cover • 10 river basins; 6 transboundary • provides services to 1.3 billion people – Water – Food – Energy – Biodiversity Hindu Kush Himalayan region: The Third Pole; Asia’s “Water tower”
  • 4. Analysis based on CMA GLASAT dataset (Xu et al., 2014) Changes in temperature extremes
  • 5. Liu and Chen, 2000 -3 -2 -1 0 1 2 3 y = -161.57 + 0.081443x R= 0.59188 =8.09 =0.33 TemperatureAnomaly( o C) -3 -2 -1 0 1 2 3 1960 1970 1980 1990 2000 y = -134.43 + 0.068 x R= 0.49862 =20.22 =0.31 TemperatureAnomaly( o C) Year -3 -2 -1 0 1 2 3 y = -184.44 + 0.093 x R= 0.65632 =-3.09 =0.39 TemperatureAnomaly( o C) a. b. c. d. Shrestha et al. 2009 Tibetan Plateau HKH (CRU) Elevation dependent warming
  • 6. Analysis based on CMA GLASAT dataset (Xu et al., 2014) PAA WDA DPIA • Light=<50p • Moderate=50- 90p • Intense=>90p Changes in precipitation extremes
  • 7.
  • 8. Glacier dynamics HKH and Indus Scherler et al., 2011; Nature Geoscience
  • 9. Glacier change projection • Area change -20 to - 55% • Indus: -20 to -30%
  • 10. Glacial hazards: glacial lake outburst flood (GLOF)
  • 11. 1. The Hindu Kush Himalaya (HKH) have seen significant warming in past decades, slightly higher than, or nearly equal to, the global average—a trend that will likely continue. Even if global warming is kept to 1.5oC (1.5oC), warming in the HKH will likely be at least 0.3oC higher, and in some parts at least 0.7oC higher. Such large warming could trigger a multitude of biophysical and socio-economic impacts. 2. For the past 5–6 decades, the HKH have shown a rising trend of extreme warm events; a falling trend of extreme cold events; and a rising trend in extreme values and frequencies of temperature based indices (both minimum and maximum). These changes are likely to continue. 3. The HKH is experiencing increasing variability in western disturbances and a higher probability of snowfall in the Karakoram and western Himalaya, changes that will likely contribute to increases in glacier mass in those areas. 4. Consensus among models for the HKH is weak—a result of the region’s complex topography and the coarse resolution of global climate models. To improve evidence-based adaptation planning, better climate models and Key Messages
  • 12. Bridging the Knowledge Gap – across scales • Down scaled scenarios • Water availability • Ecosystem services assessments • Vulnerability assessments Knowledge generation, pilots & adaptation action: multi-stakeholders partnerships at different levels,
  • 13. Climate induced hazards: One-third of disasters are floods (Source: EM-DAT – The OFDA/CRED International Disaster Database) Transboundary floods - shared vulnerability across national borders
  • 14. Impact of Climate Change - Water Induced Disasters - Downstream Assam, North East India – flood impact (sand casting)
  • 15. HKH-HYCOS: Setting up monitoring stations and establishment of real-time flood information systems ‘Making Information Travel Faster Than Flood Waters’ Establishment of a Regional Flood Information System in the HKH-Region - Timely exchange of flood data and information through an accessible and user friendly platform HYCOS is a vehicle for technology transfer, training, and capacity building
  • 16. Regional flood outlook Developed a flood outlook system for the Ganges- Brahmaputra basin utilizing freely available data and weather forecasts Mathematical model describing the precipitation- runoff process in the catchments and hydrodynamic flood routing along the river system.
  • 18. Impacts of flood: Communities are the first responders of any disasters Pakistan Flood 2010 Afghanistan Flood, 2013 Koshi,Nepal Flood, 2008 Bangladesh Flood, 2014 Uttarakhand, India Flood, 2013
  • 19. Community Based Monitoring and Early Warning
  • 20. Nepal Ratu Khola, Koshi Afghanistan Baghlan and Badagshan (potential) CBFEWS in HKH India Jiadhal and Singora rivers, Assam Pakistan Indus basin
  • 21. Ecosystem Services: Methodology for Vulnerability assessment • Vunerability assessments: Socio- economic; do not cover ecosystem services • HKH population highly dependent on ecosystem services • Vulnerability assessments, must factor in vulnerability of ecosystem services • Methodology applied for Nepal’s NAPs preparations Predicted changes in net primary productivity in Koshi Basin, Nepal Predicted changes in leaf area index in Koshi Basin, Nepal
  • 22. Enhancing capacity of partners: Downscaling for effective LAPAs • LAPAs: Adaptation Plans for Action at district/ VDC levels • Adaptation for Smallholder farmers in Hilly Areas of Nepal (ASHA) – 6 districts; sub watershed • Vulnerability assessment of ecosystems
  • 23. Adaptation Practice – Lessons in resilience building: Learning through pilots • Community-led Veterinary health services (Garo Hills) • Institutional mechanisms for Flood response (CBFEWS, Remittance & Flood preparedness) • Tourism Destination Management Plans (Inlay, Myanmar) • Agricultural Extension services (RCT: Nepal) • Resilient Mountain Villages
  • 24. Gender must be central to adaptation action……
  • 25. Support for NAPs…… • Knowledge products/ methodologies/ tools already available • Learnings from Pilots – adaptation solutions • Capacity building (www.icimod.org)