Country

Grenada

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 Grenada.

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). According to the Initial National Communication of Grenada, key projected climate trends include:

Temperature

  • There are no specific climate change scenarios available for Grenada and pending more accurate regional data on variation in climate, and a consensus on a regional climate change scenario, the scenarios adopted for temperature changes and sea level rise are based on the IPCC (1995) accepted and recommended scenarios i.e. temperature rise of 1.0°C to 3.5°C and sea level rise of 15 cm to 95 cm by 2100.

Precipitation

  • A positive or negative variation of 5% to 20% in total precipitation by the year 2100 may be considered.
  • It is reported that annual precipitation would increase by approximately 6% in the Western Caribbean and decrease by 4% in the Eastern Caribbean.
  • Wetter wet seasons and severer and longer droughts during the dry seasons are predicted. An increase in the frequency of extreme events may also be experienced.
  • It is predicted that by the year 2100, there will be a 5 to 10 percent increase in the wind speeds of tropical storms worldwide for a Sea Surface Temperature increase of 2.2 °C.

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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