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  • Changes between the future (2021-2050) and the historical (1981-2010) moisture regimes have been identified. These conditions are derived from the agro-climatic outputs of the ClimAfrica project by using the LGP equivalent (LGPeq) and the Aridity Index over the LGPt season (AI LGPt). This analysis is done for the model LPJ-ml and two scenarios (B1 for CO2 on, and B2 for CO2 constant after 2000). This data set has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

  • The moisture regimes are determined by the agro-climatic conditions. Two inputs from the ClimAfrica project are used to produce this data set: the LGP equivalent (LGPeq) and the Aridity Index over the LGPt season (AI LGPt). This analysis is done for the model LPJ-ml, for five 30-year periods. This data set has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

  • The thermal climates represent major latitudinal climatic zones. They were obtained through classifying monthly temperatures corrected to sea level (with an assumed lapse rate: 0.55°C/100m). The latitudinal thermal climates distinguished in global AEZ are the following: tropics, subtropics with summer rainfall, subtropics with winter rainfall, temperate, boreal and polar/arctic. The temperate and boreal belts have been further subdivided according to continentality into three classes, namely: oceanic, sub-continental and continental. Data derived from analysis over 37 years.

  • The AEZ classification is a combination of soil and climatic conditions. The variable parameters are the agro-climatic conditions that determine the moisture regimes. These conditions are derived from the agro-climatic outputs of the ClimAfrica project by using the LGP equivalent (LGPeq) and the Aridity Index over the LGPt season (AI LGPt). This analysis is done for the model LPJ-ml and one scenario (B1 for CO2 on), for five 30-year periods. This data set has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.