Pacific Climate Futures Version 2 is a user-friendly, web-based tool, built upon the extensive analysis of global climate models from climate change in the Pacific. It has been designed to provide information and guidance in the generation of national climate projections and facilitate the generation of data for detailed impact and risk assessments.
Pacific Climate Futures lets you to explore the likelihood of future changes in temperature, rainfall, wind, sunshine, humidity and evaporation based on 20-year time periods around 2030, 2055 and 2090 under three greenhouse gas emissions scenarios. It provides national and some sub-national climate projections for East Timor and 14 Pacific countries: Cook Islands (two sub-regions), Federated States of Micronesia (two sub-regions), Fiji, Kiribati (three sub-regions), Marshall Islands (two sub-regions), Nauru, Niue, Palau, Papua New Guinea (two sub-regions), Samoa, Solomon Islands, Tonga, Tuvalu and Vanuatu.
- Relationship to other tools: The Pacific Climate Futures Data Portal receives historic data from the Pacific Climate Change Data Portal, allowing Pacific Climate Futures to produce application-ready future datasets.
The tool was developed initially by the Pacific Climate Change Science Program (PCCSP) and further refined by the Pacific-Australia Climate Change Science and Adaptation Planning (PACCSAP) Science Program.
The Pacific Climate Change Data Portal is a user-friendly tool that allows the user to visualise historical climate data in the form of trends, running and long term averages. As the largest web based data source for the Pacific region this tool currently provides users access to more than 100 individual observation sites across the Pacific Islands and East Timor.
The website provides historical point-based data for climate observing sites across the Pacific. At present,climate variables available include temperatures, rainfall and Mean Sea-Level Pressure (MSLP), at daily, monthly, seasonal and annual timescales. Climate data is presented as time-series graphs and basic site information (metadata) is provided to assist users choose the most appropriate location.
- Relationship to other tools: The Pacific Climate Change Data Portal provides access to historic data which other tools such as Pacific Climate Futures Version 2 use to produce application-ready datasets.
The Pacific Climate Change Data portal was originally developed through the Pacific Climate Change Science Program (PCCSP, 2009-2011). Further developments took place through the Pacific-Australia Climate Change Science and Adaptation Planning Programme (PACCSAP).
The Southern Hemisphere Tropical Cyclone Data Portal improves knowledge of past tropical cyclone activity in the Pacific Islands and East Timor by plotting tracks of cyclones in the South Pacific from 1969, allowing users to see the characteristics and paths of past tropical cyclone events. Meteorologists and stakeholders can use this tool to analyse the tracks of historical tropical cyclones and relate them to the impact on lives and infrastructure recorded on the ground.
- Relationship to other tools: The Southern HemisphereTropical Cyclone Data Portal and the Pacific Climate Change Data Portal are connected in the sense that daily rainfall data from the Pacific Climate Change Data Portal could be used to examine the impacts of a particular tropical cyclone that is available via the Tropical Cyclone Data Portal. This tool is able to be used by the public to examine the impacts of past tropical cyclones.
CliDE is a climate database management system installed in National Meteorological Services in 15 countries to support day to day operations including the archival and basic analysis of historical and recent meteorological data. CliDE provides a platform for countries to rescue and secure hard copy data, which in some countries date back more than 100 years. Accurate climate records are critical for building an understanding of how the climate is changing and for verifying climate projections,monitoring and comparing droughts and other extreme events. CliDE will improve the availability of data for National Meteorological Services, other government agencies and researchers.
- Relationship to other tools: The Climate Data for the Environment tool captures observational data that are periodically incorporated into the Pacific Climate Change Data Portal. CLiDE is used by the National Meteorological Services of each of the PACCSAP program’s partner countries.
The Seasonal Prediction of Extreme Ocean Temperatures / Coral Bleaching Tool provides seasonal forecasts of ocean temperature and coral bleaching risk. These forecasts are generated using the Australian Bureau of Meteorology's Predictive Ocean Atmosphere Model for Australia (POAMA).
Available forecasts include sea surface temperature, hotspots and degree heating months. Both deterministic and probabilistic forecasts are available. More information about the Tool and how to use it can be found on the project page Seasonal Prediction of Extreme Ocean Temperatures/Coral Bleaching.
This information is critical to partner countries in planning coastal development and safeguarding agricultural, marine and water resources. Under climate change, ocean temperatures and the frequency of mass coral bleaching events are predicted to increase, highlighting the need for improved management of coral reefs of the Pacific Island nations and East Timor. The project aims to develop enhanced prototype seasonal coral bleaching risk prediction products for the Western Pacific, an improved understanding of climate drivers of extreme ocean temperatures, and to conduct relevant in-country training.
- Relationship to other tools: The Seasonal Prediction of Extreme Ocean Temperatures / Coral Bleaching Tool is linked to the Seasonal Prediction of Sea Level Anomalies in the Western Pacific tool. Forecast outlooks for both tools are generated via the POAMA seasonal prediction model. This tool is accessible to interested users who apply to the Australian Bureau of Meteorology to use the tool. Meteorological agencies from PACCSAP partner countries in the Pacific are the primary users of this tool.
Mission of the Climate-Smart Planning Platform
The mission of the Climate-Smart Planning Platform (CSPP) is to help developing-country practitioners strengthen their climate-smart planning so that it leads to better policy and investment implementation. The CSPP does this by making it easier for practitioners to locate and access the tools, data, and knowledge that they need for climate-smart planning.
Multi-partner initiative
The CSPP is a multi-partner initiative that has about 60 leading organizations brought together by the World Bank. These partners provide the trusted, proven, tools, data, and knowledge products that are linked in the CSPP. The platform’s team is actively expanding partnerships with other leading institutions to broaden the offering of products. Over the next 18 months, the team will continue to add tools, data, knowledge products and learning initiatives to the platform to extend its coverage on low-emissions development and expand to broader issues of green growth and climate resilient development.
SimCLIM is a software tool designed to facilitate the assessment of risks from climate change for sustainability officers, consultants, policy makers, academics, non-governmental and governmental organizations and students.
SimCLIM uses the latest CMIP5 climate data. Maps, graphs and charts of various aspects of climate change can be generated spatially and for sites, for cities, provinces/states, nations, and the world.
Climate variables (monthly averages)
precipitation (mm)
mean temperature (°C)
minimum temperature (°C)
maximum temperature (°C)
on request: solar (W/m2), relative humidity (%), wind (m/s)
Areas (all AR5)
Global (0.5x0.5 degrees; ca. 50x50km) area provided with annual license
Additional cost: all countries are available (varying resolution, most 1x1 km)
some continents are available
some countries include their states
Functions
spatial scenarios (given year, emission scenario, climate sensitivity and GCMs)
site specific scenario (given location, emission scenario, climate sensitivity and GCMs)
site specific sea level rise (with/without Vertical Land Movement)
site data (import, browse, analytics)
extreme events (analytics, without/with climate change)
Impact Models
rain water tank (site specific)
water balance (spatial)
coastal erosion (site specific)
degree day (site specific & spatial)
Links for SimCLIM 2013:
DSSAT
DHI
GIS (export spatial data)
Excel
eWater
SimCLIM for ArcGIS / Climate add-in enables ArcGIS users to produce spatial images of climate change through a quick, easy and straight-forward process. The add-in is based on 20 years of development of the standalone SimCLIM tool and uses outputs from global climate models, produced for the IPCC. Both projections of future climate, and changes compared with the baseline climate can be produced.
Climate variables (monthly averages)
precipitation (mm)
mean temperature (°C)
minimum temperature (°C)
maximum temperature (°C)
on request: solar (W/m2), relative humidity (%), wind (m/s)
Areas (all AR5)
comes with Global (0.5x0.5 degrees; ca. 50x50km)
can read all SimCLIM2013 areas
Functions
spatial scenarios (given year, emission scenario, climate sensitivity and GCMs)
ensembles on the fly
percentile results for ensembles
Models
ArcGIS functionality
The SimCLIM for ArcGIS / Marine add-in is the only tool available in the world that gives access to the AR5 marine results. It can help you explore the impacts of climate change on marine biogeochemical cycles, sea level, and sea surface temperature. It is a user-friendly ArcGIS Desktop application launched as a toolbar. It allows you to evaluate uncertainties of ocean warming, offering less time-consuming analysis, and optimizing research costs as well as enhancing current capacity. It has a unique sea level rise dataset, with seasonal variation, including vertical land movement.
Marine variables
net primary production of carbon by phytoplankton (gC/m3/day)
dissolved nitrate concentration at surface (mmol/m3)
dissolved oxygen concentration at surface (mol/m3)
pH at surface
dissolved phosphate concentration at surface (mmol/m3)
total alkalinity at surface (mol/m3)
dissolved iron concentration at surface (umol/m3)
dissolved silicate concentration at surface (mmol/m3)
sea surface temperature (°C)
sea level rise (cm) with vertical land movement
Areas (all AR5)
only global (0.25x0.25 degrees; ca. 25x25km)
Functions
spatial scenarios (given year, emission scenario and GCMs)
ensembles on the fly
percentile results for ensembles
extrapolated global coverage to simplify coast-line alignment
min/mean/max over the months
Models
ArcGIS functionality
Easily and with scientific rigour, explore future climates against your DSSAT crop files. Simply select your weather file, the Global Circulation Model(s), create an ensemble if you wish to use more than one climate model (highly recommended), choose at representative concentration pathway (RCP 2.6, 4.5, 6.0 or 8.5), your year for analysis (to 2100) and perturb your weather file.
'What if' questions about how crops might respond to a different climate regime while controlling for other variables within DSSAT. For example, you may like to explore how precipitation, temperature and solar radiation may change in your area under a representative concentration pathway (RCP) of 8.5 in the year 2040. You can quickly change one or more of the climate change parameters (the GCMs applied, the RCP, the year) and run another perturbation and rerun your DSSAT model with the perturbed file.