Climate

Climate affects sectors in society in a number of ways. These effects may be direct, as with heat stress, or indirect, as with infectious diseases such as malaria and meningitis.

This facility aims to explore and inform users about the climate-society relationship with an emphasis on the seasonal nature of that relationship, where appropriate.

Climate Analysis
Rainfall (1981-2014) and temperature (1961-2014) time series reconstructed from station observations and remote sensing proxies. This interface allows users to view rainfall, maximum and minimum temperature climatologies and anomalies.
Rainfall (1983-2014) and temperature (1961-2014) time series reconstructed from station observations and remote sensing proxies. This interface allows users to view rainfall, maximum and minimum temperature climatologies and anomalies.
The Maproom explores historical daily precipitation by calculating simple seasonal statistics.
Climate Monitoring
This page displays dekadal (approximately 10-day) rainfall amounts over the country. The default map shows rainfall totals for the most recently available dekad, but totals for previous dekads can be displayed as well.
Climate Forecast
Precipitation Forecasts in September-December season.
Dominant Tercile Precipitation Forecasts in September-December season.
This map shows the historical probability (given in percentile) of seasonal average monthly rainfall falling within the upper (wet), middle (normal), or bottom (dry) one-third ("tercile") of the 1981-2013 historical distribution in the country given the state of ENSO (El Niño, Neutral, La Niña) during that same season.
This map shows the historical probability (given in percentile) of seasonal average monthly minimum or maximum temperature falling within the upper (hot), middle (normal), or bottom (cold) one-third ("tercile") of the 1981-2012 historical distribution in the country given the state of ENSO (El Niño, Neutral, La Niña) during the previous season (e.g. Jan-Mar temperature against Oct-Dec ENSO state).
This map shows the historical probability (given in percentile) of seasonal average monthly rainfall falling within the upper (wet), middle (normal), or bottom (dry) one-third ("tercile") of the 1983-2014 historical distribution in Rwanda given the Terciles of IOD (Postive, Neutral, Negative) during that same season.
This map shows the historical probability (given in percentile) of seasonal average monthly temperature falling within the upper (hot), middle (normal), or bottom (cold) one-third ("tercile") of the 1961-2014 historical distribution in Rwanda given the Terciles of IOD (Postive, Neutral, Negative) during that same season.