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4. Urban Climatic Map and Standards for Wind Environment - Feasibility Study, Planning
Department
http://www.pland.gov.hk/pland_en/p_study/prog_s/ucmapweb/ucmap_project/content/content.html
5. Climate Change Webpage, Hong Kong Observatory
http://www.hko.gov.hk/climate_change/climate_change_e.htm
Towards climate risk resilient cities: spatially explicit land-use scenarios
1. The National Atlas of Japan, Geospatial Information Authority of Japan, 1990
2. Yamagata, Y., H.Seya (2012) An Integrated Modelling for Smart City: Toward Efficient
CO2 Management of EV Transport Using PV System. To be presented at the 19th ITS World
Congress, Oct., Austria
3. Kusaka,H., Adachi,S., Suzuki, Fujita,K., Hara,M., Yamagata,Y. (2012) Urban Climate
Projection in Tokyo for the 2050’s August under the RCP4.5 Scenario, ICUC8 – 8th
International Conference on Urban Climates, Aug., UCD, Dublin Ireland.
Figure: Yamagata, Nakamichi, Seya (2012) Geographically explicit direct/indirect co2
emission scenarios for a compact city in 2050, UPE10, Sydney, July,2012
Further reading:
Yamagata, Y., H. Seya, K. Nakamichi (2011) Scenario Analysis of the Future Urban Land Use
in the Tokyo Metropolitan Area. Environmental Science, 24 (3), 169–179.
Yamagata, Y., K. Nakamichi and H. Seya (2012) ‘Evaluation of land use scenarios for
interaction between climate mitigation and adaptation measures in the Tokyo metropolitan
area’, Proceedings of Infrastructure Planning, Vol.46
New Zealand’s climate change and urban impacts toolbox
1. Contributing authors to “New Zealand’s climate change and urban impacts toolbox”
article in ClimateExchange:
Sylvia Allan, Planning Consultant, Allan Planning & Research Ltd
Maurice Duncan, Scientist, National Institute of Water and Atmospheric Research Ltd
Nick Keenan, Civil Engineer, MWH Australia
Hilary McMillan, Hydrodynamics Scientist, National Institute of Water and Atmospheric
Research Ltd
Steve Oldfield, Risk Manager, MWH New Zealand Ltd
Stefan Reese, Risk Engineer, Munich Re
Graeme Smart, Scientist, National Institute of Water and Atmospheric Research Ltd
Annette Semadeni-Davies, Stormwater Engineer, National Institute of Water and
Atmospheric Research Ltd
2. National Institute of Water and Atmospheric Research (NIWA), MWH, GNS and BRANZ,
2012. Impacts of Climate Change on Urban Infrastructure and the Built Environment: A
Toolbox.
http://www.niwa.co.nz/climate/urban-impacts-toolbox.Last accessed in August
2012.
3. Insurance Council of New Zealand, 2012. The Cost of Disaster events: Natural disasters
in New Zealand cost the insurance industry millions of dollars in claims, updated in March
2012.
http://www.icnz.org.nz/current/weather/.Last accessed in August 2012.
4. Ministry for the Environment, 2008a. Climate Change Effects and Impacts Assessment:
A Guidance Manual for Local Government in New Zealand. 2nd Edition. Mullan B; Wratt
D; Dean S; Hollis M; Allan S; Williams T, Kenny G and MfE. Ministry for the Environment,
Wellington. xviii + 149 p.
Ministry for the Environment, 2008b. Coastal Hazards and Climate Change. A Guidance
Manual for Local Government in New Zealand. 2nd edition. Revised by Ramsay D, and Bell
R. (NIWA). Prepared for Ministry for the Environment. viii+127 p.
5. Stats NZ, 2004. New Zealand: An Urban/Rural Profile. Statistics New Zealand,
Wellington.
6. For example, as described in the Joint Australian/New Zealand Standard for Risk
Management: AS/NZS ISO 31000:2009, Risk Management – Principles and Guidelines,
Standards New Zealand, Wellington.
7. For example, New Zealand National Asset Management Steering Group, 2004. Optimised
Decision Making Guidelines – A sustainable approach to managing infrastructure, Edition
1.0 ISBN: 0-476-01151-5.
8. MfE, 2008. Meeting the Challenges of Future Flooding in New Zealand, Ministry for the
Environment and The Flood Risk Management and River Control Review Steering Group.
9. IPCC, 2007. Australia and New Zealand. Climate Change 2007: Impacts, Adaptation and
Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge.
10. MfE, 2008. Op cit
11. Regional Council Science Advisory Group, 2011b. Special Interest Groups Research
Priorities Plus Original Critical Issues & Research Needs.
12. Regional Council Science Advisory Group, 2011a. Research for the Environment. 2011
Review: Regional Council Research, Science & Technology Strategy.
13. RiskScape:
http://www.riskscape.org.nz/IX. Communities
Making climate science useful: cross-regional learning from Kenya and Senegal
1. Climate scientists in the UK participating in the exchange come from the universities of
Liverpool, London, Oxford and Sussex as well as the UK Met Office.
2. International humanitarian organization partners in the exchange include CAFOD,
Christian Aid, Senegal Red Cross and Oxfam GB.
3. This was subsequently extended to November 2012 to support provision of climate
services over the 2012 rainy season in Senegal, and allow for follow-up evaluation and
synthesis of cross-exchange learning.
4. Richard Ewbank, Christian Aid (2012). Review of the Sustainable Agricultural Livelihoods
Innovation (SALI) Project - Strengthening Access to Climate Information.
5. Humanitarian Futures Programme (2009). A background note to inform the 2009
workshop, Planning for future climate change crises.
6. A webspace for pooling evolving learning on approaches which support dialogue between
the providers and users of science is being established within a current two-year Knowledge
Exchange Fellowship, supported by the UK Natural Environment Research Council and
hosted at HFP. This webspace was launched in late May 2012, housed at the Enhanced
Learning and Research for Humanitarian Action.
7. 2008, Kaffrine local government website. Available from
http://www.kaffrine.org/LaVille/Geographie/tabid/327/Default.aspx
8. Development of the Early Warning > Early Action (EW>EA) game was supported by the
PetLab/Red Cross Red Crescent Climate Center collaboration. Readers can access game cards
and rules of the EW>EA game at:
http://petlab.parsons.edu/redCrossSite/gamesBTS.htmlA user-centred design approach to the Seasonal Climate Outlook
1.
www.bom.gov.au/climate/enso2. House of Representatives Standing Committee on Industry, Science and Innovation,
November 2009, Seasonal forecasting in Australia, Forward, paragraph 1.
3. Imielska, Agata; Bureau of Meteorology, 2010. Seasonal Forecast Product Review. Internal
Bureau of Meteorology report.
4.
www.bom.gov.au/climate/ahead/review/Multinational efforts to produce regional climate prediction for informed decision-making
1.
http://www.apcc21.org2. Goddard, L., Aitchellouche, Y., Baethgen, W., Dettinger, M., Graham, R., Hayman,
P., Kadi, M., Martinez, R., Meinke, H. and Conrad, E. (2010), ‘Providing seasonal-to-
interannual climate information for risk management and decision making’, Proc. Env. Sci.
1, pp. 81-101.
3. CLIK:
http://clik.apcc21.netX. Capacity Development
Making climate change information available online
1.
facebook.com/ilmastoopas2.
http://ilmasto-opas.fi/en/kunnat/ratkaisuja/uusi3.
http://ilmasto-opas.fi/en/datat/vaikutukset#SykeDataPlace:vaikutukset
4.
http://ilmasto-opas.fi/en/lisamateriaalit5.
http://ilmasto-opas.fi/oppimismoduulit/ilmastohistoria/?lang=enHow the Met Office (UK) is building capacity and supporting adaptation in some of the
world’s most vulnerable regions
1. World Bank Report No. 43946-IN, Climate Change Impacts in Drought and Flood
Affected Areas: Case Studies in India (2008)
2. Murphy, J. et al. 2004. ‘Quantification of modelling uncertainties in a large ensemble of
climate simulations’. Nature, vol. 430, 768–772.
3. Jones, R.G. et al. 2004. Generating high resolution climate change scenarios using
PRECIS, Met Office Hadley Centre, Exeter, UK, 40pp
Climate-related services in China
1. Ding, Y., G. Ren, Z. Zhao, Y. Xu, Y. Luo, Q. Li, and J. Zhang, ‘Detection, causes and
projection of climate change over China: an overview of recent progress’, Advances in
Atmospheric Sciences, 2007, 24, 954–971.
2. Wang, H. J., J. Q. Sun, H. P. Chen, Y. L. Zhu, Y. Zhang, D. Jiang, X. Lang, K. Fan, E. T. Yu,
and S. Yang, ‘Extreme climate in China: Facts, simulation and projection’, Meteorologische
Zeitschrift, 2012, 21, 279–304.
3. Huang, R. H., ‘The study in characteristic, attribution, and prediction of climatic disasters
in China’ (in Chinese). Bulletin of the Chinese Academy of Sciences, 1999, 14, 188–192.
China’s climate prediction services
1.
http://ncc.cma.gov.cn/cn/Data rescue: a necessary look at climate
1. See
http://meteo.academie-medecine.frfor reports covering France and other locations in
the world.
Strengthening hydromet services in Mozambique
1. Global Assessment Report on Disaster Risk Reduction (2011).
2. Food and Agriculture Organization cited in:
http://www.gripweb.org/gripweb/sites/default/files/CSA_Report_MOZ_Vol1_Final_2011-01-20.pdf
3. The 1991 Water Law, 2007 Water Policy and 2006 Decree for Meteorology.
4. The PPCR is one of the strategic funds under the Climate Investment Funds http://www.
climateinvestmentfunds.org/cif/and have helped channel more than US$143 million to
hydromet investments.
Drias, the futures of climate: a service for the benefit of adaptation
1. The so-called ‘Grenelle II’ law:
http://www.developpement-durable.gouv.fr/-L-adaptation-au-changement-.html
2. ‘The futures of climate’, to recall that various options (scenarios) are available, but only
one climate as a result of our choices.
Notes and References