Mean Projections
This page presents Djibouti's projected climate. The Mean Projections page offers CCKP's complete suite of indicators for in-depth analysis into future climate scenarios and potential risks due to changing climates. Data can be investigated as either the projected mean or anomaly (change) and is presented spatially, as a seasonal cycle, time series, or heat plot, which shows seasonal change over long-term time horizons. Data can be analyzed as annual, seasonal, or monthly. You can further tailor your analysis by selecting different projected time periods and Shared Socioeconomic Pathways (SSPs). SSPs are meant to provide insight into future climates based on defined emissions, mitigation efforts, and development paths.
Indicators are presented as multi-model ensemble, which represent the range and distribution of the most plausible projected outcomes of change in the climate system for a selected SSP. Individual models will be made available soon.
Climate projection data is modeled data from the global climate model compilations of the Coupled Model Inter-comparison Projects (CMIPs), overseen by the World Climate Research Program. Data presented is CMIP6, derived from the Sixth phase of the CMIPs. The CMIPs form the data foundation of the IPCC Assessment Reports. CMIP6 supports the IPCC's Sixth Assessment Report. Data is presented at a 0.25º x 0.25º (25km x 25km) resolution.
CCKP continues to add indicators as they are produced to complete currently available selection list.