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• The ISIMIP initiative

  A brief presentation of the initiative and their climate model selection Few readers

• Data processing

  Our data processing Data on the climate data factory are derived from the original model data available on the official IPCC data portal (ESGF). These data are processed with advanced peer-reviewed methods to make them Ready to use. A summary of the processing is presented in this article ; for more details, download the full technical report available on [researchgate](https:Some readers

• Which climate indices do you provide ?

  Over 40 climate indices Climate Indices are indicators calculated from weather variables. The indices we provide were defined by the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI) and can be found here. They are widely used by scientist and adaptation practitioners to evaluate climate variability and change. From precipitation (18 indices)Very popular

• The CDF-t method

  The Cumulative Distribution Function transform CDF-t (Cumulative Distribution Function transform) is a statistical method based on Quantile Mapping (QM). QM methods are routinely applied to adjust climate model simulations compared to observations. When observations are of similar resolution as the climate model, QM can be viewed as a bias-adjustment method. On the other hand, when observations are of higher resolution, QM also attempts to bridge the scale mismatch and is then viewed as a dowPopular

• Limitations of bias-adjustment and downscaling methods

  Methodological limitations Bias-adjustment consists in “calibrating model simulations to ensure their statistical properties are similar to those of the corresponding observed values” (as from climat4impact.eu). Some authors claim that bias-adjustment techniques introduce another level of uncertainty making evaluation of projections uncertainty even harder (e.g., Ehret et al. 2012, Maraun et al., 2016). There are sSome readers

• What's the difference between Raw and Ready to use climate model data?

  Raw and Ready-to-Use data Raw model data have biases which make them inappropriate as direct inputs to environmental models. Hence, statistical processing is needed to reduce this bias and generate Ready to use data that can be directly used in climate change impact modelling studies. Explanation A climate model is an approximate representation of the real world climate drivers. This is due to incomplete understanding of climate physics and/or simplifications required for compuSome readers

• Whats the difference between "Representative Concentration Pathways" and "Shared Socioeconomic Pathways"?

  What's the difference between Representative Concentration Pathways and Shared Socioeconomic Pathways In the 2014 Fifth Assessment Report (AR5) the IPCC introduced the Representative Concentration Pathways (RCPs). RCPs describe different levels of greenhouse gases and other factors in the atmosphere that might occur in the futur that can change the amount of the sun’s energy trapped by earth (known as ‘radiative forcings’ and measured as watts per squared meter). Climate researchers adoVery popular

• Available Climate models

  Available Climate Models The high resolution projections we provide are from the set of climate models hosted at the Copernicus Climate Change Service or C3S and also available at the the Earth System Grid System Federation or ESGF. The complete list in the table below also specifies if all variables are available for each model. The variables are: temperature (minimum tasmin, maximum tasmax, and daily mean tas), precipiSome readers