Who needs information on climate projections?

Climate projections provide information for the long-term horizon, up to the end of the 21st century and even beyond, based on different scenarios of future societal development. They offer the potential to inform current adaptation efforts and increase society’s resilience to climate change and variability. They can serve as input for decision makers and policymakers to support local and/or national adaptation strategies for combating climate change threats. Information on climate projections is essential for government institutions, businesses, farmers, researchers, local communities, humanitarian organizations, urban planners, schools, environmental groups, health organizations, and many more. It supports making informed decisions, adapting to the impacts of climate change, and effectively planning for future challenges.

What is a Climate Atlas?

A Climate Atlas is a detailed collection of information about the climate of a specific region or the world at different timescales, represented in output data, maps, and visualizations. It can be in an online interactive visualization tool format or a report with static climate change images. It provides easy access to information on changes in climate for regions.

What is the Ghana Climate Atlas used for?

The Ghana Climate Atlas describes potential future climates in Ghana. This information can be used for climate actions and to support decision-making processes. Climate information can be applied across various fields, providing essential insights for understanding and addressing climate change. Here are some uses of the Ghana Climate Atlas (this list is not exhaustive)

-Climate change awareness, adaptation, and mitigation

-Agriculture and food security planning

-Early warning and disaster risk reduction strategies

-Policy making

-Socioeconomic planning

And many more

Who produced the Ghana Climate Atlas?

The Ghana Climate Atlas is an ongoing initiative by the Ghana Meteorological Agency (GMet) in partnership with the Danish Meteorological Institute (DMI), together with the support from the Danish Embassy of Accra, under the strategic sector cooperation between Ghana and Denmark. For questions and requests, please contact the client service at gmetclient@gmail.com.

Does the Ghana Climate Atlas contain observational real-time data?

There is no real-time observational data in the Ghana Climate Atlas, as Climate Atlas is not intended for short-term weather forecasts. It focuses far into the future, and the data for this does not change from day to day.

What are the products in the Ghana Climate Atlas?

The Ghana Climate Atlas provides projections into the future climate of Ghana using multiple emission scenarios (low, medium and high). Although the Ghana Climate Atlas will be periodically reviewed to incorporate new climate indicators and updated datasets, the currently available products include maps, graphs, NetCDF files, and CSV files. These products illustrate changes in temperature, rainfall, and sea level rise specific to Ghana. Specifically, the Ghana climate atlas currently has:

Climate indicator visualisations:

• Annual and seasonal average temperature projections for the near term (2021 – 2040), mid century (2041 – 2060), and end of century (2081 – 2100)
• Annual and seasonal total rainfall projection for the near term (2021 – 2040), mid century (2041 – 2060), and end of century (2081 –2100)
• Relative sea level rise projection for the near term (2021 – 2040), mid century (2041 –2060), and end of century (2081 –2100)

Ghana Climate Atlas Report:

• A national report showing selected climate indicator visualisation, find the report here: [link]
• It also has an Overview Table with summarized information of the report in a tabular form.

Online visualization tool:

• climate indicators in spatial maps, box plots, and time series formats, here: [link]
• Mapviewer: an online interactive tool that allows users to display, interact with, and analyze geospatial data. It is used for visualizing maps, spatial datasets, and geographic information.
• Options to download the data in Excel spreadsheet form or the figures.

How can I access the Ghana Climate Atlas? Can I download it?

All products and reports available in the Ghana Climate Atlas can be accessed from the GMet website [link]. The reports can be downloaded in PDF format.

What type of climate models were used?

Thirty-nine (39) dynamically downscaled climate models, derived from a CORDEX-Africa suite of climate models, were used to generate climate indicators in the Ghana Climate Atlas. The key climate variables currently available in the atlas are:

• Temperature
• Rainfall
• Sea level rise

How was the Ghana Climate Atlas produced?

The Ghana Climate Atlas was produced through a collaboration between GMet (Ghana Meteorological Agency), the Danish Meteorological Institute (DMI). The process involved extensive data analysis and projections, as well as stakeholder engagements to ensure the Climate Atlas meets the needs of various users in public, private, and civil sectors.

What software and tools were used to develop the Ghana Climate Atlas?

The Ghana Climate Atlas was developed using KAPy (Klimaatlas python, DMI, https://github.com/Klimaatlas/KAPy/). KAPy is an open-source and flexible framework developed and maintained by DMI that can be used to generate tailor-made climate indicators, using datasets such as CMIP and CORDEX together with observations.

How often is the climate atlas updated?

The Ghana Climate Atlas is updated in relation to new datasets and indicators. It is an iterative process, where stakeholders will be engaged in developing new climate information. When new climate model datasets become available, the climate indicators in the climate atlas will be regenerated using the latest datasets, and consequently, an update of the climate atlas will be released.

What is an Emission Scenario and how are they used in the Ghana Climate Atlas?

Emission scenarios in the field of climate change represent possible future pathways of greenhouse gas and aerosol emissions, helping to project future climate conditions. Each IPCC Assessment Report introduces a new set of scenarios. The two latest sets of scenarios are the Representative Concentration Pathways (RCPs, used in CMIP5 and IPCC AR5) and the Shared Socioeconomic Pathways (SSPs, used in CMIP6). RCPs define greenhouse gas concentration trajectories while SSPs describe socioeconomic conditions, land use changes, and human activities influencing emissions. RCPs focus on a range of potential future changes in greenhouse gas concentrations and do not explicitly account for socioeconomic developments. SSPs are narratives of potential futures that consider social and economic factors. They can be used to explore possible global development pathways and are useful when assessing potential climate change impacts.

The Ghana Climate Atlas makes use of these two types of emission scenarios. Specifically, the Ghana climate atlas includes three emission scenarios:

• Low: RCP2.6 / SSP1-2.6
• Medium: RCP4.5 / SSP3-4.5
• High: RCP8.5 / SSP5-8.5

What are climate projections?

Climate projections are simulations of Earth’s climate for the future, usually until 2100, based on assumed 'emission scenarios' for the concentrations of greenhouse gases, aerosols, and other atmospheric constituents that affect the planet’s radiative balance (https://climate.copernicus.eu/climate-projections). The climate projections in the Ghana Climate Atlas are based on dynamically downscaled datasets from the CORDEX-Africa suite of downscaled climate models. To avoid relying on estimates from a single model, multiple models are used, and estimates based on their average are obtained. Using multiple models also enables the calculation of the uncertainty surrounding the projected best estimates of climate indicators.

What is the difference between indicators and variables?

In the context of the Ghana Climate Atlas:

• Climate variable: We refer to gridded climate data in its native time resolution as a "climate variable". This can include the output produced directly by a climate model or observations. It can also include derived variables that are produced as a combination of other variables from the same data source, or in interaction with other data sources (e.g., as in bias correction). Examples include temperature, precipitation, etc.
• Climate indicator: Climate variables can then be translated into climate indicators via a processing scheme involving the generation of some form of summary statistic (e.g., a mean or sum) over time. Examples include average annual temperature, seasonal average of July to September rainfall, etc.

Why are emission scenarios important?

Emission scenarios are used in climate research to provide plausible descriptions of how the future may evolve with respect to a range of variables, including socio-economic change, technological change, energy and land-use, emissions of greenhouse gases and air pollutants. They are used as input for climate model runs and as a basis for assessment of possible climate impacts, mitigation options and associated costs.