Sub Seasonal and Seasonal Forecasting
The sub-seasonal to seasonal timescale provides a unique opportunity to capitalise on the expertise of the weather and climate research communities, and to bring them together to improve predictions on a timescale of particular relevance to the Global Framework for Climate Services (World Meteorological Organisation, 2012).
- Based on Climate Forecast System (CFSv2) data product, ground observations, and remote sensing
- Translate into broad use of the resulting information in decision-making
- Risk based seasonal climate forecasting technologies
- Link with endusers’ needs and interests, while considering the broader contexts and practical constraints of everyday lives
- Customizable local interpretation and report
Critical climate variables updated every ten days from the latest CFSv2 downscaled model outputs:
- Precipitation anomalies
- Temperature anomalies
- Potential evapotranspiration deficit anomalies
- Wind anomalies
- Other variables available upon request.
Updated Every Ten Days
The team at ExtendWeather ingests global data that is generated four times every day. Every ten days there are 40 global runs that we then process to generate a ten day update of our forecast maps. That means there is an ensemble of 40 model runs we draw upon and then downscale using proprietary methods to generate the high quality five kilometre resolution maps we supply.
The sea level rise data is based on the Fifth Assessment Report of the IPCC and expresses the value in 2100 applying an ensemble of 28 general circulation models (GCMs) and the Representative Concentration Pathway (RCP) 8.5 with a high sensitivity. All the sea level/climate data has been processed following Intergovernmental Panel on Climate Change (IPCC) guidelines.
Extreme sea levels analysis tool includes historical storms surge, high tide events, and sea levels changes caused by lower atmospheric pressure and severe winds during storms in climate scenarios.
This web-based forecast tool is focused on the development and verification of seasonal forecasts for sea level for Pacific Partner Countries. These forecasts are generated using the Australian Bureau of Meteorology's Predictive Ocean-Atmosphere Model for Australia (POAMA).
This is a global ocean-atmosphere coupled ensemble seasonal forecast system developed jointly by the Australian Bureau of Meteorology (BoM) and the CSIRO Division of Marine and Atmospheric Research (CMAR). The web portal delivers gridded forecasts and skill maps using a navigable map overlain with geospatial information. Sea level anomaly plume plots are also available for Partner Countries in PACCSAP.
These forecasts were developed as part of the Pacific-Australia Climate Change Science Adaptation Planning programme (PACCSAP) Project 1.1.1: Seasonal prediction of sea-level anomalies in the Western Pacific.
- Relationship to other tools: The Seasonal Prediction of Sea Level Anomalies in the Western Pacific tool is linked to the Seasonal Prediction of Extreme Ocean Temperatures and Coral Bleaching 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.
Want to know what the Vanuatu coastline may look like in 2100? Coastal Risk Vanuatu (CRV) has been opened for public consultation to show you what the Vanuatu coast may look like in 2100. It is an interactive map tool designed to communicate coastal inundation associated with sea level rise to the year 2100. Using Google Earth Engine technology, CRV allows you to investigate the extent of coastal inundation using the latest 3D models of the Vanuatu coastline. Data has been captured using airborne LiDAR technology to create detailed digital elevation models (DEMs), which are then combined with ‘bucket-fill’ inundation modelling to create the map-based visualisations.
What is CLIKⓟ?
CLIKⓟ has been developed for the ROK-PI CLIPS project and it is based on the established CLIK (CLimate Information toolKit) at APCC. CLIKⓟ is a regionally tailored online tool for the PICTs. CLIKⓟ aids users in retrieving and using climate prediction data and information available from the data server at SPREP. It provides pacific oriented information using the multi model dynamical seasonal forecast based on different combinations of the user’s preference. As the forecasts are combined with the past performance of each forecast generated, climate forecasters, disaster managers, water resource managers, researchers, and other users in the Pacific, can use this service to generate customized climate predictions on seasonal to inter-annual timescales for their region of interest.
As requested by Parties at the twenty-third session UN Climate Change Conference, the COP23, this online platform facilitates access to all inputs to the Talanoa Dialogue. This platform serves this purpose by:
- Allowing submission of inputs to the Talanoa Dialogue by Parties and non-Party stakeholders by uploading the inputs on this platform
- Making visible the Talanoa Dialogue inputs for the following topics:
- Where are we?
- Where do we want to go?
- How do we get there?