Sample Publications Applying SimCLIM Outputs


Li, Y., Urich, P. (2018). Timor-Leste coffee growing area climate change risk and vulnerability assessment. Asian Development Bank Report. Pgs. 32.


Ky Phung, Nguyen. (2018). PRECIPITATION SCENARIOS IN HO CHI MINH CITY IN THE CONTEXT OF CLIMATE CHANGE. Vietnam Journal of Science and Technology. 55. 115. 10.15625/2525-2518/55/4C/12139. This work aimed at developing precipitation scenarios in Ho Chi Minh City (HCMC) corresponding to scenarios of RCP2.6, RCP4.5, RCP6.0, and RCP8.5.


Li, Y, Urich, P. (2018). Report on Climate Projections Pertinent to Project Design of the Urban Water Supply and Sanitation Project (UWSSP), Papua New Guinea. Asian Development Bank. Pgs 35.


Amin, Asad & Jatoi, Wajid & Fahad, Shah & Turan, Veysel & Ali, Shaukat & Ahmad, Shakeel & Rasool, Atta & Saleem, Nadia & Hammad, Hafiz & Sultana, Syeda & Mubeen, Muhammad & Bakhat, Hafiz & Ahmad, Naveed & Shah, Ghulam & Adnan, Muhammad & Noor, Muhammad & Basir, Abdul & Saud, Shah & Rahman, Muhammad & Paz, Joel. (2018). Evaluation and analysis of temperature for historical (1996–2015) and projected (2030–2060) climates in Pakistan using SimCLIM climate model: Ensemble application. Atmospheric Research. 213. 10.1016/j. atmosres.2018.06.021.


Li, Y., Urich, P. (2018). Air Quality Improvement in the Greater Beijing-Tianjin-Hebei Region China Energy Conservation and Environment Protection Group's Emission Control and Pollution Reduction Facility. CVRA Report. Asian Development Bank. Pgs. 131.


Jatoi, Wajid & Amin, Asad & Fahad, Shah & Awais, Muhammad & Khan, Naeem & Mubeen, Muhammad & Wahid, Abdul & Turan, Veysel & Rahman, Muhammad & Ihsan, Muhammad & Ahmad, Shakeel & Hussain, Sajjad & Mian, Ishaq Ahmad & Khan, Bushra & Jamal, Yousaf. (2018). Future risk assessment by estimating historical heat wave trends with projected heat accumulation using SimCLIM climate model in Pakistan. Atmospheric Research. 205. 10.1016/j.atmosres.2018.01.009.


Li, Y., Urich, P. (2018). Drought Risk Assessment: Papua New Guinea. World Bank. Pgs.22.


Al Mozahid, F. (2018). Regional climate assessment of precipitation and temperature in Southern Punjab (Pakistan) using SimCLIM climate model for different temporal scales.


​Wilcock, R.; Urich P.B. (2017). An Assessment To Increase Alaskan Community And Infrastructure Resilience. Two Bears Consulting. Pgs. 69.


Li, Y.; Urich, P.B.; Yin. C. (2017). Review of Potential Methodologies for Perturbing Time Series Precipitation for King County, Seattle: A Literature Review. CH2M. Pgs 20.


Li, Y.; Urich, P.B.; Yin. C. (2017). St. Petersburg, Florida 15 Minute Precipitation Data Climate Change Perturbation Methodology. CH2M. Pgs. 20.


Li, Y.; Urich, P.B. (2017). Climate Change Impact Assessment for Lugonville, Vanuatu. Asian Development Bank Report. Pgs. 30.


Ramachandran, Andimuthu & Khan, Saleem & Palanivelu, Kandasamy & Prasannavenkatesh, Ramachandran & Jayanthi, N. (2017). Projection of climate change-induced sea-level rise for the coasts of Tamil Nadu and Puducherry, India using SimCLIM: a first step towards planning adaptation policies. Journal of Coastal Conservation. 1-12. 10.1007/s11852-017-0532-6.


Li, Y.; Urich, P.B. (2017). Climate Change Impact Assessment for Nuku'Alofa, Tonga. Asian Development Bank Report. Pgs. 31.


Li, Y.; Urich, P.B. (2017). Climate Change Impact Assessment for Majuro, Marshall Islands. Asian Development Bank Report. Pgs. 34.


Li, Y.; Urich, P.B. (2017). Climate Change Impact Assessment for Honiara, Solomon Islands. Asian Development Bank Report. Pgs. 29.


Amin, Asad & Jatoi, Wajid & Mubeen, Muhammad & Kazmi, Dildar & Lin, Zhaohui & Wahid, Abdul & Sultana, Syeda & Gibbs, Jim & Fahad, Shah. (2017). Comparison of Future and Base Precipitation Anomalies by SimCLIM Statistical Projection through Ensemble Approach in Pakistan. Atmospheric Research. 194. 10.1016/j.atmosres.2017.05.002.


Urich, P., Li, Y. (2017). When a 1 in 500 Year Event Is Not As It Appears: The Edgecumbe Flood of April 2017. http://www.climsystems.com/blog/post/when-a-1-in-500-year-event-is-not-as-it-appears-the-edgecumbe-flood-of-april-2017.


Urich, P., Li, Y., Burton, D. (2017). When Extreme Rainfall Disrupts a Water Supply – The Case of Auckland City, New Zealand - March 2017. http://www.climsystems.com/blog/post/when-extreme-rainfall-disrupts-a-water-supply-the-case-of-auckland-city-new-zealand.

Urich, P., Yin, C., Li, Y. (2016). Climate Change Impacts on the Volta River Basin, Ghana. West Africa: Literature Review and Precipitation, Temperature and Drought Analysis Technical Report. P.63.


Li, Y., Urich, P. (2016). Snowfall Rate and Number of Snow Days Analysis for Central Otago Highway Maintenance. Higgins Ltd. P. 9.


Urich, P., Yin, C., ​Li, Y. (2016). Warkworth and Snells WWTPs Climate Change Assessment Report. Watercare, Auckland Council. P.30.


Li, Y., Yin, C., Urich, P. (2016). Development of an integrated climate change impact assessment tool for urban policy makers (UrbanCLIM). APN Global Change Research. Final Report. p.77.


Li, Y., Yin, C., Urich, P. (2016). Three Hourly GCM Data Method and High Resolution RCM Method for Extreme Precipitation (IDF/DDF) Analysis. CLIMsystems Technical Report. p21.


Urich, P., Li, Y. (2016). Climate Risk Report: Gladstone, Queensland, Australia. CLIMsystems Technical Report. p17.


Urich, P., Li, Y. (2016). Climate Risk Report: Latrobe Valley Victoria, Australia. CLIMsystems Technical Report. p17.


Urich, P. (2016). Training of LIPI Experts to Assess Climate Change Impacts, Vulnerability and Adaptation in Indonesia. CLIMsystems Final Report. p14.


Li, Y., Urich, P. (2016). Asset Risk and Climate Change Analysis: Australia. CLIMsystems Technical Report. p.14.


Wilcock, R., Urich, P., Li, Y. (2016). An Assessment of Alaskan Climate Change Vulnerability. A Two Bears Technical Proposal. p73.


Urich, P., Li, Y. (2016). Methodologies for Climate Change Data Preparation and Application for the Caribbean. CLIMsystems Technical Report. p25.


Piyathamrongchai, Kampanart. (2016). Climate change and impact to tourism in Thailand: flood and heat stress-risk scenarios. Climate scientists have been working hard to track climate change by monitoring the change of global climate system continuously since the middle of 19th century. Climate anomalous signals, e.g. increasing temperature and precipitation, appear in forms of aberrant events e.g. longer and frequent flood and drought, harder and unpredictable tropical storm, and more serious heat stress and so on. These events can affect directly to human or indirectly to other human activities. The tourism is one of dominant activities that need to be prioritized since it gains very high income to Thailand. This paper intends to represent two climate-related scenarios including flood and heat stress and how these affect to tourist attractions in Thailand. The rising temperature and precipitation scenarios used in this paper were synthesized from a climate change model package, SimCLIM, which is based on the Fifth Assessment Report (AR5). In case of flood scenario model, this paper used flood data in year 2011 collected from GISTDA's Thailand Flood Monitoring System. Constrained Cellular Automata (Constrained CA) model was applied to simulate flood risk area constrained by the intensity of precipitation in each watershed. On the other hand, the heat index (HI) which is computed using average temperature and relative humidity was used to recognize the heat stress risk zone in Thailand. Finally, the categorized tourist attractions were mapped and superimposed to the risk zone to identify the impact. The heat stress risk of tourism sites in the upper north and the lower south will rise; they will increasingly expose to the heat. Flood simulation reflected higher impact for tourism sites in central, north and northeast parts of Thailand. The results from this paper are useful for associated organizations who need to plan for prevention, protection and adaptation, which is crucial issue in the future schemes.


Wang, M., Li, Y. and Yin, C. (2015). An assessment of the impacts of climate change in the Waikato region: Applying CMIP5 data. Waikato Regional Council Technical Report 2015/26. p63.


Yawen, B., Hoogenboom, G., McClendon, R., Urich, P. (2015). Soybean production in 2025 and 2050 in the southeastern USA based on the SimCLIM and the CSM-CROPGRO-Soybean models. Climate Research. 63:73-89. .


Urich, P., Li, Y. (2015). Potential Climate Change Impacts and Implications for Bengaluru City Strategic Water Supply and Sewerage Management Master Plan. Pgs. 20.


Kouwenhoven, P. , Wang, M., Li, Y., and Urich, P. (2015). Asset Risk and Climate Change Analysis. Pgs. 9.


Li, Y. (2015). Open Workshop on City Climate Resilience Sciences and Services: Challenges and Solutions. IGCI Workshop Report. December 2015.


Kouwenhoven, P., Wang, M., Urich, P. (2014). Asset Risk Assessment - Australia. CLIMsystems Technical Report. p21.


Chakraborti, Rajat & Kaur, Jagjit & Munevar, A & Marchese, J & Moghaddam, O & Jones, D & Sharouzeh, S. (2014). Application of Climate Science to Perform Risk Assessment to Improve Resiliency of Critical Infrastructure to Potential Climate Change. The SimCLIM integrated modeling system was used to assess the potential threats of climate change in terms of projected changes in future rainfall and sea level rise for infrastructure facilities of the City of Los Angeles, California, USA.


The SimCLIM application provided a customizable climate risk and resilience process that provided planners and decision-makers with a range of results based on the Intergovernmental Panel on Climate Change (IPCC) GCM results in a format that supports management planning and appropriate adaptation solutions for developing climate resilient infrastructure.


Urich, P. B., Kouwenhoven, Freas, K., Van Der Tak , L. (2014). New IPCC climate models released: Understanding the planning implications for water resiliency. Journal AWWA 106:6 pgs 51-60.


Jenks, G. (2014). Affecting the Functional Capacity of Coastal Dune Ecosystems 1 - Utilising New Zealand Coastal Dune Degradation Records as a Proxy for Analogous Global Impacts. An IGCI/CLIMsystems Technical Report.


Jenks, G. (2014). The Good(ish), the bad and the ugly - and the contrasting dune management options. Report.


Urich, P. B., Kouwenhoven, P. Li, Y., Freas, K., Poon, J. (2013). How climate change will impact on the water industry. AWA Journal. Vol. 40 (8): 45-50.


Shah, J., Urich, P., Li, Y., Ye, W., Carr, R. (2012). Global Environment and National Information Evaluation System (GENIES) for Urban Impact Analysis. Greater Mekong Subregion Conference 2020, Bangkok, Thailand.


Yin C.H., Li Y.P, Ye W., Bornman J., & Yan, X. D. (2011). Statistical downscaling of regional daily precipitation over southeast Australia based on self-organizing maps. Theor Appl Climatol Volume 105, Issue 1-2, pp 11-26.


Li, Y. and Ye, W. (2011). Applicability of ensemble pattern scaling method on precipitation intensity indices at regional scale. Hydrology and Earth System Sciences Discussion, 8, 5227–5261, doi:10.5194/hessd-8-5227-2011.


Li, Y., Urich, P. B. (2011). Singapore Precipitation Analysis and Projected Climate Change. Report Commissioned by PUB, Singapore and CH2M Hill, USA.


Lawler, J., Burton, D., Mustlin, J., Urich, P.B. et al. (2011). Children's vulnerability to climate change and disaster impacts in East Asia and the Pacific. UNICEF East Asia and the Pacific.


R.J. Nicholls, S.E. Hanson, J.A. Lowe, R.A.Warrick, X. Lu, A.J. Long and T.R. Carter. (2011). Constructing Sea-Level Scenarios for Impact and Adaptation Assessment of Coastal Areas: A Guidance Document. pgs. 47.


Li, Y., Ye, W., Yan, X. (2011). Development of a Co-evolutionary Decision Support System - Food and Water Security Integrated Model System (FAWSIM). APN Science Bulletin. Issue 1. March 2011: 23-28.


Urich, P., Li, Y., Kouwenhoven, P., Ye, W. (2011). Analysis of the January 2011 extreme precipitation event in the Brisbane River Basin. A CLIMsystems Technical Report.


Urich, P. (2010). CLIMsystems Works with the Nauru Government in its Second National Communication for the United Nations. Press Release.


Pulhin, J. (2010). Training in the concepts of climate change impacts and vulnerability and the use of SimCLIM. Proceeding of the training conducted under the APN project: Capacity Development on Integration of Science and Local Knowledge for Climate Change Impacts and Vulnerability. Tabaco City, Albay, Philippines 26-29 April, 2010.


Urich, P. (2010). Preliminary Climate and Sea Level Changes for Vanuatu Through the Application of SimCLIM.


Kowenhoven, P. et al. (2010). An overview of modeling climate change: impacts in the Caribbean Region with contribution from the Pacific Islands. UNDP. P.266.


Burton, D.; Best, P.; Laurie, E.; O’Hanlon, E.; Westerman, J.; Li, Y.; Ye, W.; Urich, P.; Jakeman, G. (2010). Climate Change Risk Assessment: Kempsey Shire Council. Editor(s): Wormworth, J. and Kershaw, C. A Climate Risk Report.


Urich, P. B., Quirog, L.; Granert, W. (2009). El Nino: An adaptive response to build social and ecological resilience. Development in Practice. 19(6):767-776.


Warrick, R. (2009). From CLIMPACTS to SimCLIM: development of an integrated assessment model system. In: Integrated Regional Assessment of Global Climate Change. Editors: C. Gregory Knight, Jill Jager. Cambridge University Press. Pgs. 280-311.


Masike, S.; Urich, P. B. (2009). The projected cost of climate change to livestock water supply and implications in Kgatleng District, Botswana. World Journal of Agricultural Sciences.5 (5): 597-603.


Urich, P. B., Quirog, L.; Granert, W. (2009). El Nino: An adaptive response to build social and ecological resilience. Development in Practice. 19(6):767-776.


Warrick, R. (2009). From CLIMPACTS to SimCLIM: development of an integrated assessment model system. In: Integrated Regional Assessment of Global Climate Change. Editor(s): C. Gregory Knight, Jill Jäger. Cambridge University Press. Pgs. 280-311.


Masike, S.; Urich, P. B. (2009). The projected cost of climate change to livestock water supply and implications in Kgatleng District, Botswan. World Journal of Agricultural Sciences.5 (5): 597-603.


Warrick, R.A. and P. Urich. (2009). Using SimCLIM to assess the risks of climate variability and change to de-centralised water harvesting systems. Proceedings: 14th International Rainwater Catchment Systems Conference 2009. 3-6 August 2009, Kuala Lumpur, Malaysia. Pg. 8.


Li Y, Ye W, Wang M, Yan X. (2009). Climate change and drought: a risk assessment of crop-yield impacts. Climate Research, 39: 31–46.


Warrick, R. (2009). Using SimCLIM for modelling the impacts of climate extremes in a changing climate: a preliminary case study of household water harvesting in Southeast Queensland. 18th World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009.


Li Y. et al. (2008). Integrated model development for water and food security assessment and a case study in Jilin province. Technical report of second year of APN CRP 2007-02NMY-Yan, 133 page.


Masike, S: Urich, P. (2008). Vulnerability of traditional beef sector to drought and the challenges of climate change: The case of Kgatleng District. Botswana. Journal of Geography and Regional Planning. 1(1):12-18.


Dan L., Ji J, Li Y. (2007). The interactive climate and vegetation along the pole-equator belts simulated by a global coupled model. Advances i Atmospheric Sciences, 24(2): 239-249.


Warrick, R.A. (2007). SimCLIM: Recent Developments of an Integrated Model for Multi-scale, Risk-based Assessments of Climate Change Impacts and Adaptation. Proceedings of the 2007 ANZSEE Conference on Re-inventing Sustainability: A Climate for Change, held 3-6 July 2007, Noosaville, Queensland, Australia.


Hennessy, K., B. Fitzharris, B.C. Bates, N. Harvey, S..M. Howden, L. Hughes, J. Salinger and R. Warrick. (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, M.L. Parry, O..F. Canziani, J.P. Palutikof, P.J. van der Linden and C.E. Hanson, Eds. Cambridge University Press, Cambridge, UK, 707-540.


Warrick, R.A. and G. Cox. (2007). New developments of SimCLIM software tools for risk-based assessments of climate change impacts and adaptation in the water resource sector. In M. Heinonen (ed.). Proceedings of the Third International Conference on Climate and Water. Helsinki, Finland, 3-6 September 2007. SYKE, Helsinki, p. 518-524.


Li Y., W. Ye, R. Warrick, and J. Ji. (2007). AVIM-DVM and its application on the assessment of climate change impact on plant function type distribution and NPP of China. Submitted to Climatic Change.


Ye W and Li Y. (2007). Methods of incorporating GCM simulation result into the extreme climate event projection for future climate change. Submitted to Environmental Modelling and Software.


Dan L., Ji J, Li Y. (2007). The interactive climate and vegetation along the pole-equator belts simulated by a global coupled model. Advances in Atmospheric Sciences, 24(2): 239-249.


Warrick, R. A. and G. Cox. (2007). New developments of SimCLIM software tools for risk-based assessments of climate change impacts and adaptation in the water resource sector.


Warrick , R. A. (2007). SimCLIM: Recent developments of an integrated model for multi-scale, risk-based assessments of climate change impacts and adaptation.


Asian Development Bank. (2006). Climate proofing: a risk-based approach to adaptation. Pacific Studies Series.


Abuodha, P. A. and Colin D. Woodroffe. (2006). International assessments of the vulnerability of the coastal zone to climate change, including an Australian perspective. AGO Canberra.


Doyle, T. (2006). Climate Projections along the Central Gulf Coast Under Climate Change.


Warrick, R. A. (2006). Climate change, sea-level rise and the implications for practical coastal management. Dunes Conference, Tauranga, New Zealand.


Dan L, Ji J, Li Y. (2005). Climatic and biological simulations in a two-wa coupled atmosphere–biosphere model (CABM). Global and Planetary Change 47(2-4): 153-169.


Mao J., Wang B. Dan L., Li Y. (2005). Coupling of an atmosphere - vegetatio interaction model (AVIM) to a new generation grid point atmospheric genera circulation model. Chinese Journal of Atmospheric Sciences, 29(6): 897-910.


Warrick, R.A. and W. Ye, P. Kouwenhoven, J.E. Hay, C. Cheatham. (2005). New Developments of the SimCLIM Model for Simulating Adaptation to Risks Arising from Climate Variability and Change.