Country

Lesotho

Explore historical and projected climate data, climate data by sector, impacts, key vulnerabilities and what adaptation measures are being taken. Explore the overview for a general context of how climate change is affecting Lesotho.

Climate ProjectionsMean Projections

This page presents Lesotho’s projected climate. Information is shown by climatologies, as either projected mean or anomaly (change). We offer a range of variables at both national and sub-national aggregations. Data is presented spatially, as a seasonal cycle, time series, or heatplot, which shows seasonal change over long-term time horizons. Data can be analyzed as both annual and seasonal; monthly data is available in the Data Download page. You can further tailor your analysis by selecting different projected climatologies and emission scenarios, or Representative Concentration Pathways (RCPs). Projection data on this page is presented as multi-model ensembles, which represent the range and distribution of the most plausible projected outcomes of change in the climate system. It is important to note that RCPs are “what if scenarios” and provide insight into future climates based on defined emissions and mitigation efforts. Data for specific coordinates can be downloaded in the Data Download page.  

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. The data currently presented is derived from the fifth phase of the CMIPs, CMIP5. The CMIPs form the data foundation of the IPCC Assessment Reports. CMIP5 is used for the IPCC's Fifth Assessment Report and CMIP6 will be used for the IPCC's Sixth Assessment Report. Projection data is presented at a 1.0º x 1.0º (100km x 100km) resolution.

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Use the menu above to visualize different climate projection layers and chart data. Click on the map to get location specific data.


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Climate Data Projections

The climate science community sources a suite of global climate models to help decision makers understand the projections of future climate change and related impacts, among the most widely used are the Coupled Model Intercomparison Project, Phase 5 (CMIP5) models included in the IPCC's Fifth Assessment Report (AR5). Climate projections can be presented via individual models or through multi-model ensembles. The Climate Change Knowledge Portal (CCKP) supports the analysis of climate impacts using multi-model ensembles, as they represent the range and distribution of the most plausible projected outcomes when representing expected changes.

Temperature

  • The northern areas are projected to see annual temperatures increase between 0.4-4.7°C while the southern regions will experience temperature increases between 0.2-3.8° C by 2100.
  • The number of ‘frost’ days is projected to decrease by mid century (2046-2065) and late century (2081-2100) under all emissions scenarios. The largest projected change in the number ‘frost’ days is over northeastern Lesotho in the Mountain livelihood zone.
  • The number of ‘warm’ days and nights is projected to increase by mid and late 21st century under low, medium, and high emissions scenarios. Northwestern Lesotho is projected to see the largest increase.

Precipitation

  • Projections suggest a late onset of summer rains and a change in rainfall patterns that will become more erratic.
  • Mean annual precipitation is projected to increase slightly by middle (2046-2065) and late 21st century (2081-2100), under all emissions scenarios. Southern Lesotho is projected to see average to below average precipitation in summer.
  • Projections indicate an increase in the intensity and frequency of floods and droughts.

This section provides the options to visualize climate variables and indices derived from scientifically vetted CMIP5 projections for different timeframes, statistics, emission scenarios, and climate models.

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Use the menu above to visualize different climate projection layers and chart data. Click on the map to get location specific data.


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