The CliMap, or the Climate Information Map is an online platform featuring an interactive map where users can explore and download the available climate data over the desired area anywhere in the Philippines. It was conceptualized and developed through the DOST-funded project: Development of high-resolution observation-based gridded sub-daily climate data for the Philippines (ClimGridPh), which is a component of the DOST-PAGASA’s program, Scaling Up Climate Information Services for Societal Benefits (CLIM’ UP) being monitored by the DOST-PCIEERD. CliMap will primarily serve the public in providing the daily and sub-daily gridded dataset of surface climate variables, which are the main outputs of the project. Currently, these datasets are under development.

The Climate Projection Map Interface of the CliMap showcases the provincial projection information of Seasonal Mean and Climate Extreme Indices of Rainfall and Temperature. To switch between the type of projection shown, simply click the desired variable on the header tab over the map interface.

The right panel provides users with the option to choose between seasons (for seasonal mean projections), the Representative Concentration Pathway (or RCP) scenarios, and the future timeline. It also shows the scale for the value being displayed and the corresponding unit.

While the maps provide an immediate visualization of the climate projections, raw files are also made available for download from this online portal. The platform allows users to download the excel format of the Climate Information Risk Analysis Matrix (or CLIRAM) and the Climate Extremes Risk Analysis Matrix (or CERAM), as well as the maps and their corresponding vector file formats. To do so, just CLICK the desired provincial domain and select the needed information either the CLIRAM (or CERAM), or the map. The user will then be redirected to an online registration form and upon entering the needed information, the download links will be sent to the registered email address of the user. Please note that the download link will expire upon successfully downloading the file, so users are advised to save them securely for their future use.

The climate extremes projection information provided here are based on the standardized Climate Indices recognized and recommended by the Climate Change Initiative (CCI), World Climate Research Programme (WCRP) and the Expert Team on Sector-specific Climate Indices (ET-SCI) and were generated from gridded observation data (see, Climate Extremes Report 2020). The following table contains the list of the Climate Indices for which local projection information is available:

Since 2011, DOST-PAGASA had been researching and producing national climate projection information, in partnership with international and local research institutions. One of the major outputs from these efforts is the projected seasonal mean climate values of rainfall and temperature that spans towards the end of the 21st century derived from downscaled projections of the Coupled Model Intercomparison Project — Phase 5 (CMIP5) archive. Users can read further about the seasonal mean projections in the DOST-PAGASA 2018 report titled, Observed Climate Trends and Projected Climate Change in the Philippines. Simultaneously, the Agency has been developing and improving the communication materials to enhance the useability of these information, particularly for Local Government Units, to aid in the formulation of their Local Climate Change Action Plan. This led to the formulation of the Climate Information Risk Analysis Matrix (CLIRAM) Tool, which is one of the downloadable materials in the CliMap.

Recently, through a DOST-PCIEERD-funded program undertaken with the Manila Observatory and the Ateneo de Manila University, the Agency and its partners published the report titled, Philippine Climate Extremes Report 2020 – Observed and Projected Climate Extremes in the Philippines to Support Informed Decisions on Climate Change Adaptation and Risk Management. The report discusses the climate extremes projection derived from CMIP5 model outputs and presents information on historical and projected annual climate extremes indices of the country. It also demonstrates their relevance to sector-specific climate impacts assessment and contains the provincial climate extremes data. A corresponding Climate Extremes Matrix (CERAM) Tool was also made available especially for Local Government planners to again use for the Local Climate Change Action Plan, in conjunction with the CLIRAM Tool.

Climate projections were produced by experts to tackle the problem of climate change. These may still be relatively new, thus, most users of these information might need to check out some references or learning materials in order to appreciate, understand and effectively use the projections. Following are some recommended materials:

Reports (International and National)

• IPCC, 2021. Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.PAGASA Reports
• DOST-PAGASA, Manila Observatory and Ateneo de Manila University, 2021. Philippine Climate Extremes Report 2020: Observed and Projected Climate Extremes in the Philippines to Support Informed Decisions on Climate Change Adaptation and Risk Management. Philippine Atmospheric, Geophysical and Astronomical Services Administration, Quezon City, Philippines. 145pp.
• DOST-PAGASA, 2018. Observed and Projected Climate Change in the Philippine. Philippines Atmospheric, Geophysical and Astronomical Services Administration, Quezon City, Philippines. 36 pp.
• R. Cruz, et al. 2017. "2017 Philippine Climate Change Assessment: Impacts, Vulnerabilities and Adaptation," M. Lopez Center for Climate Change Adaptation and Disaster Risk Management Foundation, Inc and Climate Change Commission
• IPCC, 2012: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 pp.
• Asian Development Bank, 2014. "Technologies to support climate change adaptation in developing Asia: Executive Summary," ADB, Mandaluyong (Philippines)

• M.Q. Villafuerte II et al. 2021. Philippine Journal of Science, vol 150(1), 53-56
• M.Q. Villafuerte II, I. Macadam, and J. Daron, et al. 2020. Projected changes in rainfall and temperature over the Philippines from multiple dynamical downscaling models. Int J Climatol; 40: 1784– 1804. https://doi.org/10.1002/joc.6301
• J. Daron, et al., 2018. "Providing future climate projections using multiple models and methods: insights from the Philippines," Climatic Change, vol. 148, pp. 187-203
• F. Tangang, et al. 2020. "Projected future changes in rainfall in Southeast Asia based on CORDEX-SEA multi-modelsimulations," Clim. Dyn.
• L. V. A. Alexander and N. Herold, 2015. "ClimPACTv2 Indices and Software," A document prepared on behalf of the Commission for Climatology (CCl) Expert Team on Sector-Specific Climate Indices (ET-SCI), 2015. [Online]. Available: https://github.com/ARCCSS-extremes/climpact2.

• IPCC Interacive Atlas
• Climdex