International Fund for Agricultural Development

This suite of maprooms provides climate information and decision support tools to enable poor rural women and men farmers and policy makers to better manage the risks associated with climate variability and change. Better management of such risks will allow farmers to increase agricultural production and productivity and will enhance food security and rural livelihoods in test sites in Indonesia, Lao PDR, and Bangladesh.

Click the tabs (top right) for links to the following useful maps:

This suite of maprooms is financed by IFAD through the “Climate risk management in agriculture with demonstration sites in Indonesia, Lao PDR, and Bangladesh”. The goals of the project are to develop climate information / decision support tools and the capacity required to enable poor rural women and men farmers and policy makers to better manage the risks associated with climate variability and change to increase agricultural production and productivity and enhance food security and rural livelihoods.

Through this project, the International Research Institute for Climate and Society at Columbia University will collaborate with its regional partners at the Centre for Climate Risk and Opportunity Management in South East Asia and Pacific in Indonesia, the National Agriculture and Forestry Research Institute in the Lao PDR, and WorldFish in Bangladesh.

Historical Weather-within-Climate
The Maproom explores historical daily precipitation by calculating simple seasonal statistics.
The Maproom explores historical daily temperature by calculating simple seasonal statistics.
The Maproom explores historical daily precipitation by calculating simple seasonal statistics.
The Maproom explores historical daily precipitation by calculating simple seasonal statistics.
The Maproom explores historical daily temperature by calculating simple seasonal statistics.
The Maproom explores historical daily precipitation by calculating simple seasonal statistics.
Probabilistic ENSO Composites
The figure shows the historical probability (given in percentile) of seasonal APHRODITE gridded precipitation average, intensity or frequency, falling within the upper (wet) one-third, middle (normal) one-third, or bottom (dry) one-third ("tercile") of the historical (1951-2007) distribution given the state of ENSO (El Niño, Neutral, La Niña) during that same season.
Experimental Regional Seasonal Forecast
Experimental seasonal precipitation forecasts and a series of analysis to apply to a map of the region or to selected grid box
Experimental seasonal precipitation forecasts and a series of analysis to apply to a map of the region or to selected grid box
Experimental seasonal precipitation forecasts and a series of analysis to apply to a map of the region or to selected grid box
Experimental seasonal precipitation forecasts and a series of analysis to apply to a map of the region or to selected grid box
Six-Day Forecasts
This map shows places in the world that are forecasted to receive exceptionally heavy rainfall in the next six days relative to what is normal for their location.
This map shows places in the world that are forecasted to receive over the next six days a large percentage of the rainfall that normally falls over this entire month in their location.
This map shows where the total rain/snow over the next six days is expected to be more or less than what is average for this time of year.
This map shows the total amount of rain or snow (in mm) that is expected to fall in the next 6 days.
Probabilistic Seasonal Forecast
This map shows the likelihood that total 3-month precipitation will be unusually high or low.
The map shows where it is likely to be extremely wet or dry over the next three months. Extreme refers to the lowest or highest 15% of the historical record.
This map shows where current wet or dry conditions will likely end over the next 3 months.
This map shows where and how likely recent wet or dry conditions will continue over the next 3 months.
This map shows where IRI 3-month forecasts are consistently good at predicting seasonal rainfall for at least one season of the year.
Past Conditions
During an El Niño episode, areas in green or yellow are likely to become wetter or dryer than normal during the indicated months.
During a La Niña episode, areas in green or yellow are likely to become wetter or dryer than normal during the indicated months.
This map shows how much rain normally falls in each month of the year. You can see: Which places tend to be wetter or dryer than others. Which are the rainiest months for different locations.
Recent Climate Trends
This map shows how wet and dry periods have varied over time. Draw a rectangle over a region or click a place on the map, to see graphs for that location. These graphs depict how much rainfall (or temperature) varies from year to year, decade to decade, and over the past century. This information can be used for planning purposes on different timescales, and to provide context for recent memories of rainfall patterns or specific events in a longer-term perspective.
This map shows how wet and dry periods have varied over time. Draw a rectangle over a region or click a place on the map, to see graphs for that location. These graphs depict how much rainfall (or temperature) varies from year to year, decade to decade, and over the past century. This information can be used for planning purposes on different timescales, and to provide context for recent memories of rainfall patterns or specific events in a longer-term perspective.
This map shows how wet and dry periods have varied over time. Draw a rectangle over a region or click a place on the map, to see graphs for that location. These graphs depict how much rainfall (or temperature) varies from year to year, decade to decade, and over the past century. This information can be used for planning purposes on different timescales, and to provide context for recent memories of rainfall patterns or specific events in a longer-term perspective.
This maproom presents an approximate decomposition by time scale of twentieth-century precipitation variations.