climate+®
Instant access to climate risk assessment data
climate+ offers instant access to data for climate predictions and climate risk assessments, and is the perfect solution to fulfil the requirements for EU taxonomy, and other regulatory frameworks for climate risk assessments. climate+ offers climate prediction data for temperature and precipitation for the four RCP emission scenarios 2.6, 4.5, 6.0 and 8.5 used by the IPCC. The data are available for any location worldwide, offering hourly resolution data, with the prediction horizon reaching up to the year 2100.
Features
Climate prediction data until the end of the 21st century
climate+ offers consistent climate prediction data in hourly resolution until the end of the 21st century for air temperature, precipitation, and a wide range of derived variables, such as the number of tropical nights, or hot days per year.
Worldwide availability
Climate prediction data is available for any place on Earth at a spatial resolution of 30 km. Therefore, this data is assembled into continuous time series in hourly time steps (on which the monthly and yearly aggregations are based).
Uncertainty assessment
Interannual variability is resolved by combining uncertainties based on the long term ERA5 time series with the ensemble mean, maximum, and minimum values of the climate change RCP scenario. Thus, the prediction uncertainties are quantified, and can be assessed in order to take better strategic decisions.
All common RCP emission data are included
All four RCP emission scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5) are available in climate+. The climate change scenarios are used in the IPCC reports to estimate the spread of future developments, depending on the achieved CO2 reduction. climate+ allows for analyses of both standard meteorological years, and extreme meteorological years.
Consultation on climate data
A climate+ subscription comes along with a free-of-charge monthly webinar, in which we answer users' questions, recommend suitable options on how to integrate the data into different platforms, and explain the physical limitations of the datasets.
Multiple formats
The data can be interactively analysed on the web and downloaded as CSV files. Boxplot graphics for 30-year and 10-year time periods enable the users to assess the uncertainty range. Downloaded CSV files can easily be imported into various professional applications.
Why climate+?
Many regions worldwide currently cope with challenges such as the increase in frequency of extreme air temperatures, storms, and flooding events resulting from heavy precipitation. Due to climate change, such extreme events will occur more often in the future. This trend will increase both the risk of economic damage, and physical stress (or even life risk) caused by weather hazards. The meteoblue climate+ climate risk assessment data service offers an easy summary of complex climate change simulations for any location on Earth, based on different emission scenarios of the IPCC report. This dataset can be used to fulfil the requirements for the EU taxonomy and other regulatory frameworks for climate risk assessments. meteoblue is committed to reinvest 5% of the revenue from climate+ in climate change mitigation projects.
Yearly aggregations
This diagram shows the yearly averaged mean air temperature for four different time periods (reference period, 2021 - 2050, 2046 - 2075, 2071 - 2100), and four different emission scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5; in different colours) for Basel (CH). The boxplots in the diagram show the variability within the selected period, and represent typical and extreme meteorological years.
This diagram indicates the yearly averaged mean air temperature for four different emission scenarios (RCP2.6, RCP4.5, RCP6.0, RCP8.5) for the period 2091 - 2100 for Basel (CH). A “low”, “medium” and “high” scenario is calculated, based on the classification of a 30-year reference period in “low”, “medium”, and “high” yearly mean air temperatures.
The boxplots in the diagram show the variability within the chosen period, and represent typical and extreme meteorological years.
Monthly aggregations
This diagram displays the monthly averaged mean air temperature for four different time periods (reference, 2021 - 2050, 2046 - 2075, 2071 - 2100; in different colours) for the RCP8.5 emission scenario for Basel (CH). The boxplots in the diagram show the variability within the chosen period, and represent typical and extreme meteorological months.
This diagram shows the monthly averaged mean air temperature for the RCP8.5 emission scenario for the period of 2091 - 2100 for Basel (CH). A “low”, “medium” and “high” scenario is calculated based on a classification of a 30-year reference period in “low” “medium”, and “high” yearly mean air temperatures.
The boxplots in the diagram show the variability within the chosen period, and represent typical and extreme meteorological months.
Data download
The hourly time series of air temperature and precipitation can be downloaded as CSV file for each RCP emission scenario, and for a 10-year period (e.g., 2071 - 2080). Note that these are synthetic data, i.e., they can be used for statistical applications but NOT to forecast the weather for a specific time (e.g., 21st January 2071 10:00 UTC). We offer three different time series: “Low”, “Medium” and “High”, instead of one time series.
The simple reason for that is the fact that as indicated above, we are not able to forecast precipitation and air temperature for a specific time this far in the future. This method helps the users understand the uncertainty range within the interannual variability. The classification of the “low”, “medium” and “high” values is based on yearly average air temperatures of the 30-year reference period. Contact us in the free monthly webinar if you have further questions regarding the dataset.
Try for free
You can test climate+ without a subscription and explore climate data for different RCP scenarios until 2100. The free test is limited to Basel, Switzerland.
Prices and Order
How many locations do you need? After purchase, you receive access to the selected number of locations, without having to decide which ones. Your desired locations or coordinates can be activated afterwards in the data download interface. climate+ access remains active for 1 year, starting on the purchase date. You can purchase more locations at any later time as well. High-volume discounts for more than 10 locations are available on demand.
0% VAT included in all prices
Data until 2100
Optional automatic renewal
Available for one year
One-time payment
Data until 2100
Optional automatic renewal
Available for one year
One-time payment
Data until 2100
Optional automatic renewal
Available for one year
One-time payment
Data until 2100
Optional automatic renewal
Available for one year
One-time payment
VAT & Pricing
VAT will be deducted for EU business customers with a valid VATIN. The identification number is required and will be automatically validated against the EU database before purchase. All services are associated with your meteoblue account, which will be created in the ordering process. Upon payment confirmation, you receive an invoice as PDF with the indicated VAT amount. Invoices can also be downloaded from your meteoblue account overview.
The payment is handled by Datatrans, a PCI-DSS certified payment service provider for more security in payment transactions. Your credit card information is transmitted using data encryption, only used for one transaction and not stored. The security of your data is very important for us. Payment options include Paypal, Visa, Mastercard and Swiss Postfinance.
About climate+ data
What you get
climate+ offers climate prediction data with a spatial resolution of 30 km until the end of the 21st century. climate+ data are available in hourly time intervals or monthly and yearly aggregations for every place on Earth. These data contain all four RCP emission scenarios from the IPCC, and are 100% complete, without any gaps. Our worldwide data availability and completeness provide a unique offer.
Uncertainties of the climate prediction data are calculated to analyse typical and extreme meteorological years.
We will be happy to help you interpret the data and show you the possibilities and limitations of the dataset in a free monthly webinar.
Limitations
Hourly timeseries until the end of the century
It is not possible to forecast the temperature or precipitation for a specific time such as e.g., 21st January 2071. There are limitations to the extent of weather forecasts, typically 5 - 7 days, depending on the weather variable. Therefore, hourly time series until the end of the century are a synthetic dataset, which can be used to calculate statistics or run external models (e.g., crop models). We recommend using a 10-year (or preferably, a 30-year) period for averaging the hourly values, and to analyse the future climate for your own use case.
Please note, that this synthetic weather data is not consistent with our deterministic forecast or measurements - we provide historical time series for such purposes.
Note that it is possible that some time steps of the time series in the “low” values are higher than the “high” values, as the classification of these three time-series is based on yearly average temperatures from the past, and a particular year selected may be different from others.
Local climate prediction data
We use climate prediction data from the CCSM4 model (spatial resolution 100 km) and downscale the data to 30 km spatial resolution (ERA5 grid).
Regional and local climate prediction model data are not considered in climate+. Send us an e-mail to support@meteoblue.com if you are interested in regional climate prediction models or if you are interested in other global climate prediction models.
Location-specific climate risk assessment
Nowadays, many regions worldwide cope with challenges such as extreme air temperatures, severe windstorms, and droughts. In many parts of the world heatwaves kill more people than any other natural hazard, and this trend is expected to increase in the future. Due to climate change, many areas of the planet will face a range of environmental challenges. The changes in meteorological phenomena frequency and severity (as well as altered environmental conditions) will increase economic damage, affect the health, and even endanger the lives of parts of the global population.
Organisations therefore need to start considering the impact of climate change in both their strategic plans, and their daily operations. Due to the inherent uncertainty of climate change scenarios, they must anticipate and manage their exposure to climate-related risks. Even today, large companies are already asked to assess the climate risk at their headquarters and important branch locations. In some countries, e.g., in the EU, such risk assessments will become mandatory as of 2023. This demand is expected to increase in the future due to the ongoing climate change, and to the economic benefits of preventative actions such as mitigation or adaptation.
meteoblue is one of the first companies to offer scientific, location-specific climate risk assessment reports to evaluate the potential future risks related to climate change, in an easy-to-understand format and at very affordable prices, making such assessments rapidly available to a wide range of customers.
If you are interested in more information on the location-specific climate risk assessment, please contact support@meteoblue.com or find more information on: Climate Risk Assessment