publication . Article . 2017

Improving user engagement and uptake of climate services in China

Golding, Nicola; Hewitt, Chris; Zhang, Peiqun; Bett, Philip; Fang, Xiaoyi; Hu, Hengzhi; Nobert, Sebastien;
Open Access
  • Published: 24 Mar 2017 Journal: Climate Services, volume 5, pages 39-45 (issn: 2405-8807, Copyright policy)
  • Publisher: Elsevier BV
  • Country: United Kingdom
Abstract
The needs of decision makers in China are being used to develop climate science and climate services through the Climate Science for Services Partnership. Focusing on examples of work for the energy and urban sectors, this paper outlines the approach taken and gives case studies of climate service development. We find that there is great opportunity for climate service development within the existing China Framework for Climate Services, and for enhancing the science that underpins such services. We also find challenges unique to the socio-economic and cultural environment in China, which must be taken into account when developing climate services here, as well ...
Subjects
free text keywords: Atmospheric Science, Global and Planetary Change, Climate services, China, Seasonal forecast, Urban modelling, User engagement, Meteorology. Climatology, QC851-999, Social sciences (General), H1-99
20 references, page 1 of 2

Bett et al., 2017a, Skill and reliability of seasonal forecasts from GloSea5 for the energy sector in China, in preparation. [OpenAIRE]

Bett et al., 2017b, Seasonal forecasts of the summer 2016 Yangtze river valley rainfall, in preparation. [OpenAIRE]

Bruno Soares, M., Dessai, S., 2016. Barriers and enablers to the use of seasonal climate forecasts amongst organisations in Europe. Climatic Change 137, 89. http://dx.doi.org/10.1007/s10584-016-1671-8.

Chen, G., 2012. China's management of natural disasters: organizations and norms. In: Chung, J.H. (Ed.), China's Crisis Management. Routledge, London, pp. 130- 148.

Chen, G., 2016. The Politics of Disaster Management in China. Palgrave Macmillan, New York.

China Meteorological News Press, 2015. China Framework for Climate Services http://www.cma.gov.cn/en2014/20150311/2015323e/2015323e07/ 2015323e09/201503/t20150317_276866.html.

Dessai, S., Bruno Soares, M., 2015. Exploring the use of seasonal climate forecasts through expert elicitation. Clim. Risk Manage. 10, 8-16. http://dx.doi.org/ 10.1016/j.crm.2015.07.001.

Grimmond, S., Ward, H.C., Tan, J., 2015. Climate Services: Research for sector based climate services, Urban Environments. CSSP Project Report, available on request.

Hewitt, C., Mason, S., Walland, D., 2012. The global framework for climate services. Nat. Clim. Change 2, 831-832. http://dx.doi.org/10.1038/nclimate1745.

Järvi, L., Grimmond, C.S.B., Christen, A., 2011. The surface urban energy and water balance scheme (SUEWS): evaluation in los angeles and vancouver. J. Hydrol. 411, 219-237. [OpenAIRE]

Järvi, L., Grimmond, C.S.B., Taka, M., Nordbo, A., Setälä, H., Strachan, I.B., 2014. Development of the surface urban energy and water balance scheme (SUEWS) for cold climate cities. Geosci. Mod. Dev. 7, 1691-1711. http://dx.doi.org/ 10.5194/gmd-7-1691-2014. [OpenAIRE]

Jones, R.G., Noguer, M., Hassell, D.C., Hudson, D., Wilson, S.S., Jenkins, G.J. and Mitchell, J.F.B., 2004. Generating high resolution climate change scenarios using PRECIS, Met Office Hadley Centre, Exeter, UK, pp. 40. Available at http://www. metoffice.gov.uk/research/applied/applied-climate/precis.

Ke Qian, 2014. Flood risk analysis for metropolitan areas - a case study for Shanghai. PhD Thesis, Delft University of Technology. doi:10.4233/ uuid:61986b2d-72de-45e7-8f2a-bd61c725325d.

Lempert, Robert J., Steven W. Popper, David G. Groves, Nidhi Kalra, Jordan R. Fischbach, Steven C. Bankes, Benjamin P. Bryant, Myles T. Collins, Klaus Keller, Andrew Hackbarth, Lloyd Dixon, Tom LaTourrette, Robert T. Reville, Jim W. Hall, Christophe Mijere and David J. McInerney, 2013. Making Good Decisions Without Predictions: Robust Decision Making for Planning Under Deep Uncertainty. RAND Research Highlights, RB-9701, RAND Corporation, Santa Monica, CA. http://www.rand.org/pubs/research_briefs/RB9701.html. [OpenAIRE]

Li et al., 2016. Skillful seasonal prediction of Yangtze river valley summer rainfall. Environ. Res. Lett. 11, 094002. http://dx.doi.org/10.1088/1748-9326/11/9/ 094002.

20 references, page 1 of 2
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue