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.