Country

St. Vincent and the Grenadines

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 St. Vincent and the Grenadines.

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). Key projected climate trends are summarized below:

Temperature

  • Temperatures are expected to increase between 0.6 and 2.3°C by the 2060's, and between 1.1 to 3.9°C by the 2090's. The projected rate of warming is similar throughout the year, but more rapid in the south than the north.
  • The number of hot days and nights are projected to increase significantly throughout the country: hot days by 31%-66% in 2060 and 39%-95% by the 2090's; and hot nights by 31%-75% by the 2060's and 55%-100% by the 2090's.
  • The number of cold days and nights is projected to decrease significantly. These events do not occur at all in the 2060's projections.

Precipitation

  • The mean annual rainfall projection indicates the decreases in rainfall for Grenada. Annual projection varies between -61% to +23% by the 2090's. The largest decrease is projected to occur during the wet months, i.e., June through November, with higher decreases in the south than the north. However, the proportion of total rainfall that falls during heavy events is projected to decrease by -22% to 5% by the 2090's.

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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